<div> <div>     </div> <div>  <div> <p>Requirements:</p> <ul> <li>No previous Korean knowledge is required.</li> <li>This course is recommended to all ages, everyone who wants to learn Korean fast at home.</li> <li>This course is designed for absolute Korean beginners.</li> <li>A willingness to improve your Korean language ability through practice.</li> <li>Students will need good internet connection and gadgets like pc, tablet, or smartphone.</li> <li>A language notebook is required to do your homework in your own Korean language.</li> </ul> <p>Hello! Welcome to my basic Korean course number 1 series.</p> <p>Learn Korean Fast at Home is an online basic Korean course from a native Korean teacher Stormi Kim who was born in Busan Korea. You will learn the four basic Korean Language skills that are fundamentals to Korean communication at home. (Listening ,Reading, Speaking, and Writing) If your goal is to make Korean friends or to have jog opportunities in Korea, this lecture will be the cornerstone of learning Korean language. This course will be helpful for students who prepare for Korean exam Topik. Moreover, anyone who is interested in studying new languages can have a good command of Korean through this course.</p> <p>This course is recommendable for :</p> <ul> <li>Students who want to start learning Korean with a native Korean speaker.</li> <li>People who are K-drama and K-pop lovers.</li> <li>Anyone who wants to have confidence in learning Korean</li> <li>Students who want to master basic Korean expressions for academic purpose such as preparing for Korean Topik test.</li> <li>People who want to make Korean friends.</li> </ul> <p>This course includes:</p> <ul> <li>Printable PDF Korean language worksheets for beginners.</li> <li>Basic Korean lessons (Korean alphabet, Korean sentence structure, Korean grammar, simple Korean conversation)</li> <li>Practical words and real-life photos about Korea.</li> <li>Interactive Lessons online via Instagram posts.</li> <li>Immediate feedback and comments on students' task.</li> <li>Future updates.</li> </ul> <p>Through this course, you will be able to :</p> <ul> <li>read and write Korean alphabet confidently.</li> <li>learn how to make Korean sentences in a correct order</li> <li>speak Korean words with pictures that show Korean culture</li> <li>learn Korean fast and easily with a lot of Korean quizzes and exercises</li> <li>use basic Korean conversational expressions naturally</li> <li>develop your Korean language 4 skills to the next level</li> </ul> <p>This basic online Korean class is divided into four sections so that you can learn Korean step by step and improve your Korean Language skills at your own pace. You will listen to my voice and practice Korean through a variety of Korean language exercises. At the end of each lesson, I recommend that you write Koreanstudygram on your Instagram with pictures which show that you study Korean hard. If you want to get instant answers and likes from me, subscribe to my SNS account called Cracking Korean. At the end of this online basic Korean course, you can write Korean consonants and vowels naturally and master constructing simple Korean sentences in your own Korean language ability. Additionally, I attached some learning materials about basic Korean skills and Korean keyboard for you so that you can practice your Korean language ability day bay day.</p> <p><em>Enroll now!</em></p> <p><em>And start the journey of learning Korean together.</em></p> <p>â¬Music by (HYP MUSIC)</p> <p>ë°ëí ê·ì¬ì´ ë¸ê¸ | ì ìê¶ ìë ìì | Free BGM | HYP - Monkey</p> </div> <ul> <li>Absolute Korean beginners</li> <li>Students who want to start learning Korean with a native Korean speaker</li> <li>K-drama and K-pop lovers</li> <li>Students who want to make Korean friends</li> <li>Students who want to master basic Korean expressions for academic purpose such as preparing for Korean Topik test</li> </ul> <div> <p> </p> </div> </div> </div><h3><strong>Recognised Accreditation</strong></h3> <p></p> <p>This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement.</p><div> <h3> <span>Course Curriculum</span> </h3> <div> <table> <tbody><tr> <td colspan="4">Supplementary Resources</td> </tr> <tr> <td><i></i></td> <td> Supplementary Resources - Learn Korean Fast at Home â¥ Online Basic Korean Class </td> <td> </td> <td><span><i></i> 00:00:00</span></td> </tr> <tr> <td colspan="4">Learn Korean Fast at Home for Beginners-Introduction </td> </tr> <tr> <td><i></i></td> <td> Introduction </td> <td> </td> <td><span><i></i> 00:05:00</span></td> </tr> <tr> <td><i></i></td> <td> Korean introduction </td> <td> </td> <td><span><i></i> 00:07:00</span></td> </tr> <tr> <td><i></i></td> <td> Korean Syllables </td> <td> </td> <td><span><i></i> 00:08:00</span></td> </tr> <tr> <td colspan="4">Learn Korean Vowels: Korean Short Vowels/ Korean Double Vowels</td> </tr> <tr> <td><i></i></td> <td> Korean Short Vowels - Unrounded Vowels l, ã, ã, ã¡, ã, ã </td> <td> </td> <td><span><i></i> 00:07:00</span></td> </tr> <tr> <td><i></i></td> <td> Korean Short Vowels - Rounded Vowels ã, ã, ã ã </td> <td> </td> <td><span><i></i> 00:06:00</span></td> </tr> <tr> <td><i></i></td> <td> [y] Soundlike Korean Double Vowels-ã, ã, ã, ã , ã, ã </td> <td> </td> <td><span><i></i> 00:07:00</span></td> </tr> <tr> <td><i></i></td> <td> [w], [i] soundlike Korean Double Vowels-ã, ã, ã, ã, ã¢ </td> <td> </td> <td><span><i></i> 00:06:00</span></td> </tr> <tr> <td colspan="4">Learn Korean Consonants/ Korean Final Consonants/ Korean Double Final Consonants</td> </tr> <tr> <td><i></i></td> <td> Korean Consonants - ã±, ã², ã </td> <td> </td> <td><span><i></i> 00:06:00</span></td> </tr> <tr> <td><i></i></td> <td> Korean Consonants - ã·, ã¸, ã </td> <td> </td> <td><span><i></i> 00:06:00</span></td> </tr> <tr> <td><i></i></td> <td> Korean Consonants - ã, ã, ã </td> <td> </td> <td><span><i></i> 00:05:00</span></td> </tr> <tr> <td><i></i></td> <td> Korean Consonants - ã, ã, ã </td> <td> </td> <td><span><i></i> 00:05:00</span></td> </tr> <tr> <td><i></i></td> <td> Korean Consonants - ã, ã, ã </td> <td> </td> <td><span><i></i> 00:05:00</span></td> </tr> <tr> <td><i></i></td> <td> Korean Consonants - ã, ã´, ã, ã¹ </td> <td> </td> <td><span><i></i> 00:07:00</span></td> </tr> <tr> <td><i></i></td> <td> Korean Final Consonants - [k Ì ] </td> <td> </td> <td><span><i></i> 00:05:00</span></td> </tr> <tr> <td><i></i></td> <td> Korean Final Consonants - [t Ì ] sound </td> <td> </td> <td><span><i></i> 00:05:00</span></td> </tr> <tr> <td><i></i></td> <td> Korean Final Consonants - [p Ì ] </td> <td> </td> <td><span><i></i> 00:04:00</span></td> </tr> <tr> <td><i></i></td> <td> Korean Final Consonants - [n], [l], [m], [Å] </td> <td> </td> <td><span><i></i> 00:05:00</span></td> </tr> <tr> <td><i></i></td> <td> The Names of Korean Consonants+Review </td> <td> </td> <td><span><i></i> 00:06:00</span></td> </tr> <tr> <td><i></i></td> <td> Korean Double Final Consonants - [k Ì ], [t Ì ] sound </td> <td> </td> <td><span><i></i> 00:06:00</span></td> </tr> <tr> <td><i></i></td> <td> Korean Double Final Consonants - [p Ì ], [l] sound </td> <td> </td> <td><span><i></i> 00:06:00</span></td> </tr> <tr> <td><i></i></td> <td> Korean Double Final Consonants - [m], [n] sound </td> <td> </td> <td><span><i></i> 00:04:00</span></td> </tr> <tr> <td colspan="4">Korean Sentence Order</td> </tr> <tr> <td><i></i></td> <td> Korean Sentence Structure1 </td> <td> </td> <td><span><i></i> 00:09:00</span></td> </tr> <tr> <td><i></i></td> <td> Korean Sentence Structure2 </td> <td> </td> <td><span><i></i> 00:07:00</span></td> </tr> <tr> <td><i></i></td> <td> Korean Connective adverbs </td> <td> </td> <td><span><i></i> 00:11:00</span></td> </tr> <tr> <td colspan="4">korean Conversation + Grammar</td> </tr> <tr> <td><i></i></td> <td> Pointing to Something or Someone - Korean Demonstrative Pronouns </td> <td> </td> <td><span><i></i> 00:10:00</span></td> </tr> <tr> <td><i></i></td> <td> My Favorite Korean Food - Korean Particles ì´ , ê° </td> <td> </td> <td><span><i></i> 00:10:00</span></td> </tr> <tr> <td><i></i></td> <td> Introduce Yourself - Korean Particles ì, ë 1 </td> <td> </td> <td><span><i></i> 00:09:00</span></td> </tr> <tr> <td><i></i></td> <td> Nationality+jobs - Korean Particles ì, ë 2 </td> <td> </td> <td><span><i></i> 00:08:00</span></td> </tr> <tr> <td><i></i></td> <td> Expressing Possessions - Korean Possessive Particles ì </td> <td> </td> <td><span><i></i> 00:08:00</span></td> </tr> <tr> <td><i></i></td> <td> Talking about What You Did - Korean Particles ì, ë¥¼ </td> <td> </td> <td><span><i></i> 00:07:00</span></td> </tr> <tr> <td><i></i></td> <td> Expressing Existence &amp; Action - Korean Particle ì, ìì </td> <td> </td> <td><span><i></i> 00:10:00</span></td> </tr> <tr> <td><i></i></td> <td> Korean Verbs - Creating Action Verbs </td> <td> </td> <td><span><i></i> 00:09:00</span></td> </tr> <tr> <td><i></i></td> <td> Korean Verbs - Creating Descriptive Verbs </td> <td> </td> <td><span><i></i> 00:06:00</span></td> </tr> <tr> <td><i></i></td> <td> Korean Greetings - Formal &amp; Informal expressions </td> <td> </td> <td><span><i></i> 00:07:00</span></td> </tr> <tr> <td><i></i></td> <td> Korean Farewells - Formal &amp; Informal expressions </td> <td> </td> <td><span><i></i> 00:05:00</span></td> </tr> <tr> <td><i></i></td> <td> Korean Numbers - Sino, Native Numbers </td> <td> </td> <td><span><i></i> 00:11:00</span></td> </tr> <tr> <td><i></i></td> <td> The Present + The Past Ongoing Event - Korean Progressives </td> <td> </td> <td><span><i></i> 00:08:00</span></td> </tr> <tr> <td colspan="4">Obtain Your Certificate</td> </tr> <tr> <td><i></i></td> <td> Order Your Certificate of Achievement </td> <td> </td> <td><span><i></i> 00:00:00</span></td> </tr> <tr> <td colspan="4">Get Your Insurance Now</td> </tr> <tr> <td><i></i></td> <td> Get Your Insurance Now </td> <td> </td> <td><span><i></i> 00:00:00</span></td> </tr> <tr> <td colspan="4">Feedback</td> </tr> <tr> <td><i></i></td> <td> Feedback </td> <td> </td> <td><span><i></i> 00:00:00</span></td> </tr> </tbody></table></div> </div>

Study Plex

Learn Korean Fast at Home â¥ Online Basic Korean Class

General Admission

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				<h3><span id="docs-internal-guid-8c7677fd-7fff-3dba-9e42-22d2785cca3c"><p><span>Experience the future of </span><span>geographical analysis</span><span> with our </span><span>Machine Learning for Predictive Maps in Python and Leaflet</span><span> course. Master the unique blend of programming, machine learning, and geographic information systems, all while honing your ability to predict and visualise spatial data in a powerful and effective way. This course offers you an unparalleled understanding of </span><span>modern map creation</span><span>, combined with the magic of prediction using </span><span>machine learning models</span><span>.</span></p><br /><p><span>Starting from the ground up, you'll be introduced to all the necessary setups and installations. After that, you will be diving into the depth of </span><span>Django server-side code</span><span> and front-end application code writing. The heart of the course lies in learning how to automate the machine learning pipeline, leading you to </span><span>easily create predictive models</span><span>. </span></p><br /><p><span>Improve your maps with </span><span>Leaflet programming</span><span>, making your predictions accurate and also </span><span>visually striking</span><span>. By the end of this course, you will be armed with experience furnished by our comprehensive project </span><span>source code and assignments</span><span>, empowering you to drive data-driven decisions and insightful spatial analysis. </span><span>Join us</span><span> and </span><span>map your way to success</span><span>! Sign up today.</span></p><br /><br /><p><span>Learning Outcomes:</span></p><p><span>Upon completion of the Machine Learning course, you will be able to:</span></p><br /><ul><li><p><span>Understand how to set up and install relevant software and libraries.</span></p></li><li><p><span>Master Django server-side and application front-end code writing.</span></p></li><li><p><span>Gain proficiency in the concepts and implementation of Machine Learning.</span></p></li><li><p><span>Learn to automate Machine Learning pipelines for efficient workflows.</span></p></li><li><p><span>Acquire skills in Leaflet programming for enhanced map visuals.</span></p></li><li><p><span>Handle project source code effectively for real-world projects.</span></p></li><li><p><span>Apply knowledge practically via assignments and gain experience.</span></p></li></ul><br /><br /><p><span>Who is this course for?</span></p><p><span>This Machine Learning course is ideal for:</span></p><br /><ul><li><p><span>Aspiring Data Scientists keen on harnessing geographical data.</span></p></li><li><p><span>GIS professionals aiming to integrate Machine Learning into their skill set.</span></p></li><li><p><span>Software Developers interested in creating geographically-focused applications.</span></p></li><li><p><span>Analysts keen on enhancing their data visualisation skills with mapping.</span></p></li></ul><br /><br /><p><span>Certification</span></p><p><span>After studying the course materials of the </span><span>Machine Learning for Predictive Maps in Python and Leaflet</span><span> course, there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test, you have a </span><span>range of certification options</span><span> to choose from. You can claim a CPD Accredited PDF Certificate for</span><span> £4.99</span><span>, a CPD Accredited Hardcopy Certificate at</span><span> £8.00</span><span>, or you may choose to receive a PDF Transcript for</span><span> £4.99</span><span> or a</span><span> </span><span>Hardcopy Transcript for</span><span> £9.99</span><span>. Select according to your needs, and we assure </span><span>timely delivery</span><span> of your chosen certificate.</span></p><br /><br /><p><span>Requirements</span></p><p><span>This professionally designed </span><span>Machine Learning for Predictive Maps in Python and Leaflet </span><span>course does not require you to have any prior qualifications or experience. It is open to everyone. You will be able to access the course from anywhere at any time. Just enrol and start learning!</span></p><br /><br /><p><span>Career Path:</span></p><p><span>Our Machine Learning course will help you to </span><span>pursue a range of career paths</span><span>, such as:</span></p><br /><ul><li><p><span>Junior Data Analyst: £25,000 - £35,000 annually.</span></p></li><li><p><span>Data Scientist: £40,000 - £60,000 annually.</span></p></li><li><p><span>GIS Analyst: £30,000 - £45,000 annually.</span></p></li><li><p><span>Geospatial Software Developer: £35,000 - £55,000 annually.</span></p></li><li><p><span>Machine Learning Engineer: £50,000 - £80,000 annually.</span></p></li><li><p><span>Lead Data Scientist (GIS speciality): £70,000 - £100,000+ annually.</span></p></li></ul></span></h3>					</div>
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					<td colspan="4">Section 01: Introduction</td>
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					<td>Introduction</td>
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					<td><span><i></i> 00:10:00</span></td>
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					<td colspan="4">Section 02: Setup and Installations</td>
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					<td>Python Installation</td>
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					<td><span><i></i> 00:04:00</span></td>
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					<td>Creating a Python Virtual Environment</td>
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					<td><span><i></i> 00:07:00</span></td>
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					<td>Installing Django</td>
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					<td><span><i></i> 00:09:00</span></td>
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					<td>Installing Visual Studio Code IDE</td>
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					<td><span><i></i> 00:06:00</span></td>
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					<td>Installing PostgreSQL Database Server Part 1</td>
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					<td><span><i></i> 00:03:00</span></td>
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					<td>Installing PostgreSQL Database Server Part 2</td>
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					<td><span><i></i> 00:09:00</span></td>
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					<td colspan="4">Section 03: Writing the Django Server-Side Code</td>
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					<td>Adding the settings.py Code</td>
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					<td><span><i></i> 00:07:00</span></td>
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					<td>Creating a Django Model</td>
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					<td><span><i></i> 00:10:00</span></td>
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					<td>Adding the admin.py Code</td>
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					<td><span><i></i> 00:21:00</span></td>
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					<td colspan="4">Section 04: Writing the Application Front-end Code</td>
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					<td>Creating Template Files</td>
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					<td><span><i></i> 00:10:00</span></td>
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					<td>Creating Django Views</td>
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					<td><span><i></i> 00:10:00</span></td>
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					<td>Creating URL Patterns for the REST API</td>
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					<td><span><i></i> 00:09:00</span></td>
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					<td>Adding the index.html code</td>
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					<td><span><i></i> 00:04:00</span></td>
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					<td>Adding the layout.html code</td>
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					<td><span><i></i> 00:19:00</span></td>
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					<td>Creating our First Map</td>
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					<td><span><i></i> 00:10:00</span></td>
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					<td>Adding Markers</td>
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					<td><span><i></i> 00:16:00</span></td>
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					<td colspan="4">Section 05: Machine Learning</td>
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					<td>Installing Jupyter Notebook</td>
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					<td><span><i></i> 00:07:00</span></td>
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					<td>Data Pre-processing</td>
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					<td><span><i></i> 00:31:00</span></td>
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					<td>Model Selection</td>
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					<td><span><i></i> 00:20:00</span></td>
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					<td>Model Evaluation and Building a Prediction Dataset</td>
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					<td><span><i></i> 00:11:00</span></td>
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					<td colspan="4">Section 06: Automating the Machine Learning Pipeline</td>
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					<td>Creating a Django Model</td>
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					<td><span><i></i> 00:04:00</span></td>
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					<td>Embedding the Machine Learning Pipeline in the Application</td>
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					<td><span><i></i> 00:42:00</span></td>
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					<td>Creating a URL Endpoint for our Prediction Dataset</td>
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					<td><span><i></i> 00:06:00</span></td>
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					<td colspan="4">Section 07: Leaflet Programming</td>
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					<td>Creating Multiple Basemaps</td>
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					<td><span><i></i> 00:09:00</span></td>
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					<td>Creating the Marker Layer Group</td>
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					<td><span><i></i> 00:10:00</span></td>
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					<td>Creating the Point Layer Group</td>
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					<td><span><i></i> 00:12:00</span></td>
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					<td>Creating the Predicted Point Layer Group</td>
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					<td><span><i></i> 00:07:00</span></td>
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					<td>Creating the Predicted High Risk Point Layer Group</td>
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					<td><span><i></i> 00:12:00</span></td>
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					<td>Creating the Legend</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
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					<td>Creating the Prediction Score Legend</td>
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					<td><span><i></i> 00:15:00</span></td>
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					<td colspan="4">Section 08: Project Source Code</td>
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					<td>Resource</td>
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					<td><span><i></i> 00:00:00</span></td>
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					<td colspan="4">Assignment</td>
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					<td><i></i></td>
					<td>Assignment - Machine Learning for Predictive Maps in Python and Leaflet</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>

Studyhub UK

Learning & Development

Machine Learning for Predictive Maps in Python and Leaflet

Packt

Computer Vision

Data Science

Python

Programming

This course will help you learn the programming fundamentals with Python 3. It is designed for beginners in Python and is a complete masterclass. This course will help you understand Python GUI, data science, full-stack web development with Django, machine learning, artificial intelligence, Natural Language Processing, and Computer Vision.

Python in Practice - 15 Projects to Master Python

Welcome to the Bootcamp course. You will obtain a firm understanding of machine learning with this course. By doing so, you will be able to develop machine learning solutions for various challenges you might encounter and be prepared to start using machine learning at work or in technical interviews.

Python Machine Learning Bootcamp

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			<h2>Learning Outcomes</h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Get an introduction to Python programming</span>
									</li>
								<li>
											<span>
													</span>
										<span>Know how to do conditional branching with Python</span>
									</li>
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											<span>
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										<span>Deepen your knowledge of importing external/internal libraries in Python</span>
									</li>
								<li>
											<span>
													</span>
										<span>Learn about project rock, paper and scissors as well as strings operation, time and date in Python</span>
									</li>
								<li>
											<span>
													</span>
										<span>Acquire more knowledge about data storage structures, tuples, lists and dictionary</span>
									</li>
								<li>
											<span>
													</span>
										<span>Enhance your understanding of import tricks, import operating systems and platforms and exception handling in Python</span>
									</li>
								<li>
											<span>
													</span>
										<span>Learn how to instal Packages and Scheduling in Python</span>
									</li>
						</ul>
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			<h2>Description </h2>		</div>
				</div>
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								<div>
				<p><span>Python is a highly multi-purposeful still easy-to-understand programming language, which is why it is more adaptable all over the world. Whether to make a web application in data science, software engineering, mobile app development, or artificial intelligence - every industry uses Python to accomplish its work. Therefore, if you are planning to pursue a career in these sectors, develop your Python skills with the Diploma In Python Programming course.</span></p><p><span>We made this course with an aim of enhancing your programming language skills in Python and making you job ready. Therefore, this course includes some easy-to-digest modules on topics such as - </span><span>conditional branching with Python, writing user functions in Python, </span><span>file handling, reading and writing using Python and many more. Moreover, we will introduce you to the procedure of data storage structures, tuples, lists and dictionaries through Python.</span></p><p><span>Further topics will be discussed in the modules for which you need to enrol in our comprehensive course. So, join this course now to acquire the exclusive knowledge of Python and a CPD certificate of achievement after completing this course.</span></p>					</div>
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			<h2>Certificate of Achievement </h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><span>After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post. </span></p>					</div>
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			<h2>Method of Assessment 
</h2>		</div>
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				<p><span>After completing this course, you will be provided with some assessment questions. To pass that assessment you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly.</span></p>					</div>
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			<h2>Career path</h2>		</div>
				</div>
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				<p><span>After finishing this course you will get the expertise to aim for a career in the following positions:</span></p>					</div>
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				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Web Developer</span>
									</li>
								<li>
											<span>
													</span>
										<span>Software Engineer</span>
									</li>
								<li>
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													</span>
										<span>Data Scientist</span>
									</li>
								<li>
											<span>
													</span>
										<span>Machine Learning Engineer</span>
									</li>
								<li>
											<span>
													</span>
										<span>Data Analyst</span>
									</li>
						</ul>
				</div>
				</div>
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		</div>
								</div>
					</div>
		</section>
									</div>
			</div>
					</div><div>
				<h3>Course Content</h3>

<div id="course_curriculum">
<table width="100%">				<tbody><tr>
					<td colspan="4">Unit 01: Introduction to Python Programming</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: Course Introduction</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Unit 02: Getting Started with Python</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: Software Installation</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 02: Hello World Program</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 03: Input and Output</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 04: Calculating Average of 5 Numbers</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Unit 03: Conditional Branching with Python</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: If Loop In Python</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 02: Program Using If Else part 1</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 03: Program Using If Else part 2</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 04: Program for Calculator</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 05: Program Using For Loop</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 06: For Table</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 07: For loop and Mathematical Operator in Python</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 08: Factorial of Number Using Python</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 09: Program Using While</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 10: While Loop Example</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 11: Tasks for Practice</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Unit 04: Importing external/internal library in python</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: Importing Library in Python</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Unit 05: Project Rock Paper and Scissors</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: Rock Paper and Scissor Game</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Unit 06: Strings Operation in Python</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: Program Using String part 1</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 02: Program using String 2</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 03: Program Using String 3</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 04: Program Using String part 4</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Unit 07: Date and time in Python</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: Use of Date and Time part 1</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 02: Use of Date and Time part 2</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Unit 08: File Handling, read and write using Python</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: File Handling Part 1</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 02: File Handling Part 2</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Unit 09: Data Storage Structures, Tuple, List and Dictionary</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: Tuple in Python Part 1</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 02: Tuple in Python Part 2</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 03: Using Lists part 1</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 04: Using List part 2</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 05: Using Lists part 3 mm</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 06: Using Lists part 4</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 07: Using Lists part 5</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 08: Use of Dictionary Part 1</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 09: Use of Dictionary Part 2</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 10: Use of Dictionary Part 3</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 11: Use of Dictionary Part 4</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Unit 10: Writing user functions in Python</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: Function in Python Part 1</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 02: Function in Python Part 2</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 03: Function in Python Part 3</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 04: Function in Python Part 4</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 05: Function in Python Part 5</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Unit 11: Sending mail</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: Send Email</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Unit 12: Import Tricks in Python</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: Import Study part 1</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 02: Import Study part 2</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Unit 13: Import Operating System and Platform</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: Importing OS</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 02: Import Platform</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Unit 14: Exceptions handling in python</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: Exception in Python part 1</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 02: Exception in Python part 2</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 03: Exception in Python part 3</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Unit 15: Installing Packages and Scheduling In Python</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: Installing Packages using built in package manager</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 02: Scheduler in Python</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Unit 16: Data Base In Python using sqlite </td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: Data Base 1</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 02: Data Base 2</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 03: Data Base 3</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 04: Data base 4</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 05: Data Base 5</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Unit 17: Running Program from Command Prompt and jupyter Notebook</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: IDE_1</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 02: IDE_2</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Unit 18: Conclusion</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: Conclusion</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Resources</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Resources - Diploma in Python Programming</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Recommended Materials</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Workbook - Diploma in Python Programming</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Order your Certificates &amp; Transcripts</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Order your Certificates &amp; Transcripts</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
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			</div>

Janets

Diploma in Python Programming

<p dir="ltr" id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">The Python Certification - Beginner to Expert course is a comprehensive educational journey designed to transform students from novices into proficient Python programmers. Python&#39;s popularity in the digital era stems from its simplicity, versatility, and broad applicability across various domains, making it an ideal language for individuals starting their programming journey or those looking to enhance their existing skills.</span></p><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">This meticulously structured course is divided into 18 detailed sections, each focusing on a specific aspect of Python programming. It begins with the fundamentals, such as setting up the programming environment and writing simple "Hello World" scripts, and progresses through more complex topics like database management and task automation. The curriculum is designed to be sequential, ensuring a smooth transition from basic concepts to advanced programming techniques.</span></p><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">In addition to the rich curriculum, students benefit from the expertise of seasoned instructors and the support of an engaged online community. These resources are invaluable for overcoming challenges and fostering a collaborative learning environment.&nbsp;</span></p><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">The Python Certification - Beginner to Expert course is more than just a programming class; it&#39;s a gateway to the tech industry and a stepping stone for personal and professional growth in the digital age. Whether one&#39;s goal is to secure a dream job, advance in their career, or simply broaden their technical skill set, this course lays the groundwork for a successful future in technology.</span></p><h2 dir="ltr" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Learning Outcome of Python Certification - Beginner to Expert&nbsp;</span></h2><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Master the fundamentals of Python programming from installation to advanced concepts.</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Develop proficiency in writing code using Python syntax and data structures.</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Understand conditional branching, exception handling, and file manipulation in Python.</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Explore advanced topics such as sending emails, working with databases, and scheduling tasks.</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Gain hands-on experience in coding through practical exercises and projects.</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Acquire the necessary skills to advance your career or pursue further studies in Python programming.</li></ul><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Key Features of the Course</span></h2><ul fr-original-style="" style="box-sizing: border-box;"><li dir="ltr" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">A CPD certificate that is recognised worldwide.</span></li><li dir="ltr" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">A great online learning experience.</span></li><li dir="ltr" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Interesting and unique online materials and activities.</span></li><li dir="ltr" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Expert guidance and support from the field leaders.</span></li><li dir="ltr" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Access to the study resources anytime you want.</span></li><li dir="ltr" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Friendly and helpful customer service and admin support by email, phone, and chat from Monday through Friday.</span></li><li dir="ltr" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Get a year-long access to the course.</span></li></ul><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Topics Covered in This Course</span></h2><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Introduction to Python Programming</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Getting Started With Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Conditional Branching With Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Importing External/Internal Library In Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Project Rock Paper And Scissors</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Strings Operation In Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Date And Time In Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">File Handling, Read And Write Using Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Data Storage Structures: Tuple, List, And Dictionary</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Writing User Functions In Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Sending Mail</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Import Tricks In Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Import Operating System And Platform</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Exceptions Handling In Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Installing Packages And Scheduling In Python</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Database In Python Using SQLite</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Running Program From Command Prompt And Jupyter Notebook</li></ul><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Who is this course for</span></h2><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Python Certification - Beginner to Expert is ideal for individuals who are new to programming or have minimal experience with Python. Whether you&#39;re a student looking to expand your coding skills, an aspiring developer seeking to enter the tech industry, or a professional aiming to enhance your programming proficiency, this course provides a comprehensive learning path tailored to beginners in Python programming.</span></p><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Requirements</span></h2><ul fr-original-style="" style="box-sizing: border-box;"><li dir="ltr" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">No prerequisites; suitable for individuals from any academic background.</span></li><li dir="ltr" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Accessible course materials from any internet-enabled device.</span></li></ul><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">CPD Certificate from Course Gate</span></h2><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for &pound;9 and the hard copy for &pound;15. Also, you can order both PDF and hardcopy certificates for &pound;22.</span></p><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Career path</span></h2><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Python Developer</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Software Engineer</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Data Analyst</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Web Developer</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Data Scientist</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">IT Consultant</li></ul>

Course Gate

Python Scripting

Python Certification - Beginner to Expert offers a comprehensive journey from novice to proficient Python programmer. This course is structured into 18 sections, covering essential topics such as software installation, conditional branching, file handling, and database management.

Python Certification - Beginner to Expert

Edinburgh

<p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Learn how to make a functional and fabulous hand-bound book with local Bookbinder Cass Barron.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">In this 3 hour workshop, Cass will take you through the process of folding, cutting and stitching your own leather or pleather book using a range of upcycled and vintage materials to give your book its own unique character.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">All materials will be provided but there is also the option to incorporate your own decorative papers, including maps and personal mementos&nbsp;should you want to theme your book to suit your occasion.&nbsp;</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The books you will produce make for great notebooks, journals, sketchbooks and memory books, as well as lovely gifts for friends and family.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Following the workshop you will receive a reminder of the steps covered and a comprehensive materials list should you want to make more books at home (it&#39;s a most addictive craft).</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Cass offers a wide range of workshops and book structures. You can see examples on her <a href="https://www.instagram.com/bookbindingwithcass/" fr-original-style="" style="-webkit-user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">instagram</a> page, so please contact us if there is something specific you would like to cover in your private class.&nbsp;</p><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; -webkit-user-select: none; box-sizing: border-box;"><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">More information&nbsp;</strong></p>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The Arienas Collective private classes are run from our supportive and welcoming home-based environment within a Georgian mews home in Edinburgh&rsquo;s City Centre New Town. We invite you to join us, leave any day-to-day worries behind, and immerse yourself in being creative.</p>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Access to all the equipment you will need is included in the price.&nbsp;</p>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Private classes can be themed to suit the occasion, such as a special birthday, hen do, or family celebration. Just let us know when booking and we can discuss the options.</p>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">On full day classes you are welcome to bring your own lunch. Alternatively, there are a wide range of independent sit-in or takeaway delis, caf&eacute;s, supermarkets and restaurants within a 5-10 minute walk. We can also provide a buffet style lunch if you prefer, just let us know your dietary requirements and budget, and we&#39;ll source some options.</p>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><em fr-original-style="" style="box-sizing: border-box;">PLEASE NOTE: Our workshop space is on the first-floor of a Georgian mews building and unfortunately we do not have lift access. The workshop space is in our home which is&nbsp;</em><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><em fr-original-style="" style="box-sizing: border-box;">not</em></strong><em fr-original-style="" style="box-sizing: border-box;">&nbsp;nut free. Please let us know of any skin or food allergies before booking.</em></p>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Bringing the class to you</strong></p>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">If you already have a venue in mind, or have a larger group size than we can cater for here, then get in touch to check if your preferred class can be brought to you.</p>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Work events</strong></p>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Most of our private classes are also available to book for staff team building and well-being purposes, or as creative treats for your customers. You can find out more here.</p>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Age restrictions</strong></p>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Our workshops are planned with adults in mind. Many are suitable for teenagers, but some may require under 16s to be accompanied for insurance purposes. Please check with us before booking. Complimentary alcoholic drinks are served for 18s and over only.</p>

Learn how to make a functional and fabulous hand-bound book with local Bookbinder Cass Barron.
In this 3 hour workshop, Cass will take you through the process of folding, cutting and stitching your own leather or pleather book using a range of upcycled and vintage materials to give your book its own unique character.
All materials will be provided but there is also the option to incorporate your own decorative papers, including maps and personal mementos should you want to theme your book to suit your occasion. 
The books you will produce make for great notebooks, journals, sketchbooks and memory books, as well as lovely gifts for friends and family.
Following the workshop you will receive a reminder of the steps covered and a comprehensive materials list should you want to make more books at home (it's a most addictive craft).
Cass offers a wide range of workshops and book structures. You can see examples on her instagram page, so please contact us if there is something specific you would like to cover in your private class. 



More information 
The Arienas Collective private classes are run from our supportive and welcoming home-based environment within a Georgian mews home in Edinburgh’s City Centre New Town. We invite you to join us, leave any day-to-day worries behind, and immerse yourself in being creative.
Access to all the equipment you will need is included in the price. 
Private classes can be themed to suit the occasion, such as a special birthday, hen do, or family celebration. Just let us know when booking and we can discuss the options.
On full day classes you are welcome to bring your own lunch. Alternatively, there are a wide range of independent sit-in or takeaway delis, cafés, supermarkets and restaurants within a 5-10 minute walk. We can also provide a buffet style lunch if you prefer, just let us know your dietary requirements and budget, and we'll source some options.
PLEASE NOTE: Our workshop space is on the first-floor of a Georgian mews building and unfortunately we do not have lift access. The workshop space is in our home which is not nut free. Please let us know of any skin or food allergies before booking.
Bringing the class to you
If you already have a venue in mind, or have a larger group size than we can cater for here, then get in touch to check if your preferred class can be brought to you.
Work events
Most of our private classes are also available to book for staff team building and well-being purposes, or as creative treats for your customers. You can find out more here.
Age restrictions
Our workshops are planned with adults in mind. Many are suitable for teenagers, but some may require under 16s to be accompanied for insurance purposes. Please check with us before booking. Complimentary alcoholic drinks are served for 18s and over only.

The Arienas Collective

Arts & Crafts

Private soap making class run by The Scottish Soapworks at The Arienas Collective in Edinburgh City Centre

Make a functional and fabulous hand-bound book | private class for up to 10 people

Sole use of our home workshop space for your private soap making class including artist fee and refreshments for up to 10 people. Please add on the number of people you require materials for below.

Private class for up to 10 people (excluding materials)

Online Course Marketing

Online Course Creation

Professional Skills Course (PSC)

Trainers Course

Python Programming - Level 4

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming<br />Also familiar with Python</p>Overview<p>? NumPy, pandas, Matplotlib,  scikit-learn<br />? Python REPLs<br />? Jupyter Notebooks<br />? Data analytics life-cycle phases<br />? Data repairing and normalizing<br />? Data aggregation and grouping<br />? Data visualization<br />? Data science algorithms for supervised and unsupervised machine learning</p><p>Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases.</p></div><div id="course-pills-2"><h4>Python for Data Science</h4><ul><li>? Using Modules</li><li>? Listing Methods in a Module</li><li>? Creating Your Own Modules</li><li>? List Comprehension</li><li>? Dictionary Comprehension</li><li>? String Comprehension</li><li>? Python 2 vs Python 3</li><li>? Sets (Python 3+)</li><li>? Python Idioms</li><li>? Python Data Science ?Ecosystem?</li><li>? NumPy</li><li>? NumPy Arrays</li><li>? NumPy Idioms</li><li>? pandas</li><li>? Data Wrangling with pandas' DataFrame</li><li>? SciPy</li><li>? Scikit-learn</li><li>? SciPy or scikit-learn?</li><li>? Matplotlib</li><li>? Python vs R</li><li>? Python on Apache Spark</li><li>? Python Dev Tools and REPLs</li><li>? Anaconda</li><li>? IPython</li><li>? Visual Studio Code</li><li>? Jupyter</li><li>? Jupyter Basic Commands</li><li>? Summary</li></ul><h4>Applied Data Science</h4><ul><li>? What is Data Science?</li><li>? Data Science Ecosystem</li><li>? Data Mining vs. Data Science</li><li>? Business Analytics vs. Data Science</li><li>? Data Science, Machine Learning, AI?</li><li>? Who is a Data Scientist?</li><li>? Data Science Skill Sets Venn Diagram</li><li>? Data Scientists at Work</li><li>? Examples of Data Science Projects</li><li>? An Example of a Data Product</li><li>? Applied Data Science at Google</li><li>? Data Science Gotchas</li><li>? Summary</li></ul><h4>Data Analytics Life-cycle Phases</h4><ul><li>? Big Data Analytics Pipeline</li><li>? Data Discovery Phase</li><li>? Data Harvesting Phase</li><li>? Data Priming Phase</li><li>? Data Logistics and Data Governance</li><li>? Exploratory Data Analysis</li><li>? Model Planning Phase</li><li>? Model Building Phase</li><li>? Communicating the Results</li><li>? Production Roll-out</li><li>? Summary</li></ul><h4>Repairing and Normalizing Data</h4><ul><li>? Repairing and Normalizing Data</li><li>? Dealing with the Missing Data</li><li>? Sample Data Set</li><li>? Getting Info on Null Data</li><li>? Dropping a Column</li><li>? Interpolating Missing Data in pandas</li><li>? Replacing the Missing Values with the Mean Value</li><li>? Scaling (Normalizing) the Data</li><li>? Data Preprocessing with scikit-learn</li><li>? Scaling with the scale() Function</li><li>? The MinMaxScaler Object</li><li>? Summary</li></ul><h4>Descriptive Statistics Computing Features in Python</h4><ul><li>? Descriptive Statistics</li><li>? Non-uniformity of a Probability Distribution</li><li>? Using NumPy for Calculating Descriptive Statistics Measures</li><li>? Finding Min and Max in NumPy</li><li>? Using pandas for Calculating Descriptive Statistics Measures</li><li>? Correlation</li><li>? Regression and Correlation</li><li>? Covariance</li><li>? Getting Pairwise Correlation and Covariance Measures</li><li>? Finding Min and Max in pandas DataFrame</li><li>? Summary</li></ul><h4>Data Aggregation and Grouping</h4><ul><li>? Data Aggregation and Grouping</li><li>? Sample Data Set</li><li>? The pandas.core.groupby.SeriesGroupBy Object</li><li>? Grouping by Two or More Columns</li><li>? Emulating the SQL's WHERE Clause</li><li>? The Pivot Tables</li><li>? Cross-Tabulation</li><li>? Summary</li></ul><h4>Data Visualization with matplotlib</h4><ul><li>? Data Visualization<br />? What is matplotlib?<br />? Getting Started with matplotlib<br />? The Plotting Window<br />? The Figure Options<br />? The matplotlib.pyplot.plot() Function<br />? The matplotlib.pyplot.bar() Function<br />? The matplotlib.pyplot.pie () Function<br />? Subplots<br />? Using the matplotlib.gridspec.GridSpec Object<br />? The matplotlib.pyplot.subplot() Function<br />? Hands-on Exercise<br />? Figures<br />? Saving Figures to File<br />? Visualization with pandas<br />? Working with matplotlib in Jupyter Notebooks<br />? Summary</li></ul><h4>Data Science and ML Algorithms in scikit-learn</h4><ul><li>? Data Science, Machine Learning, AI?</li><li>? Types of Machine Learning</li><li>? Terminology: Features and Observations</li><li>? Continuous and Categorical Features (Variables)</li><li>? Terminology: Axis</li><li>? The scikit-learn Package</li><li>? scikit-learn Estimators</li><li>? Models, Estimators, and Predictors</li><li>? Common Distance Metrics</li><li>? The Euclidean Metric</li><li>? The LIBSVM format</li><li>?  Scaling of the Features</li><li>? The Curse of Dimensionality</li><li>? Supervised vs Unsupervised Machine Learning</li><li>? Supervised Machine Learning Algorithms</li><li>? Unsupervised Machine Learning Algorithms</li><li>? Choose the Right Algorithm</li><li>? Life-cycles of Machine Learning Development</li><li>? Data Split for Training and Test Data Sets</li><li>? Data Splitting in scikit-learn</li><li>? Hands-on Exercise</li><li>? Classification Examples</li><li>? Classifying with k-Nearest Neighbors (SL)</li><li>? k-Nearest Neighbors Algorithm</li><li>? k-Nearest Neighbors Algorithm</li><li>? The Error Rate</li><li>? Hands-on Exercise</li><li>? Dimensionality Reduction</li><li>? The Advantages of Dimensionality Reduction</li><li>? Principal component analysis (PCA)</li><li>? Hands-on Exercise</li><li>? Data Blending</li><li>? Decision Trees (SL)</li><li>? Decision Tree Terminology</li><li>? Decision Tree Classification in Context of Information Theory</li><li>? Information Entropy Defined</li><li>? The Shannon Entropy Formula</li><li>? The Simplified Decision Tree Algorithm</li><li>? Using Decision Trees</li><li>? Random Forests</li><li>? SVM</li><li>? Naive Bayes Classifier (SL)</li><li>? Naive Bayesian Probabilistic Model in a Nutshell</li><li>? Bayes Formula</li><li>? Classification of Documents with Naive Bayes</li><li>? Unsupervised Learning Type: Clustering</li><li>? Clustering Examples</li><li>? k-Means Clustering (UL)</li><li>? k-Means Clustering in a Nutshell</li><li>? k-Means Characteristics</li><li>? Regression Analysis</li><li>? Simple Linear Regression Model</li><li>? Linear vs Non-Linear Regression</li><li>? Linear Regression Illustration</li><li>? Major Underlying Assumptions for Regression Analysis</li><li>? Least-Squares Method (LSM)</li><li>? Locally Weighted Linear Regression</li><li>? Regression Models in Excel</li><li>? Multiple Regression Analysis</li><li>? Logistic Regression</li><li>? Regression vs Classification</li><li>? Time-Series Analysis</li><li>? Decomposing Time-Series</li><li>? Summary</li></ul><h4>Lab Exercises</h4><ul><li>Lab 1 - Learning the Lab Environment     </li><li>Lab 2 -  Using Jupyter Notebook </li><li>Lab 3 -  Repairing and Normalizing Data  </li><li>Lab 4 -  Computing Descriptive Statistics </li><li>Lab 5 - Data Grouping and Aggregation   </li><li>Lab 6 - Data Visualization with matplotlib              </li><li>Lab 7 - Data Splitting       </li><li>Lab 8 -  k-Nearest Neighbors Algorithm  </li><li>Lab 9 -  The k-means Algorithm  </li><li>Lab 10 -  The Random Forest Algorithm </li></ul></div>

Nexus Human

Data Engineering

Machine Learning (ML)

Big Data Analytics

Data Mining

Data Skills

Python With Data Science

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p>This class is intended for experienced developers who are responsible for managing big data transformations including:<br />Extracting, loading, transforming, cleaning, and validating data.<br />Designing pipelines and architectures for data processing.<br />Creating and maintaining machine learning and statistical models.<br />Querying datasets, visualizing query results and creating reports</p>Overview<p>Design and build data processing systems on Google Cloud Platform.<br />Leverage unstructured data using Spark and ML APIs on Cloud Dataproc.<br />Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow.<br />Derive business insights from extremely large datasets using Google BigQuery.<br />Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML.<br />Enable instant insights from streaming data</p><p>Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data.</p></div><div id="course-pills-2"><h4>Introduction to Data Engineering</h4><ul><li>Explore the role of a data engineer.</li><li>Analyze data engineering challenges.</li><li>Intro to BigQuery.</li><li>Data Lakes and Data Warehouses.</li><li>Demo: Federated Queries with BigQuery.</li><li>Transactional Databases vs Data Warehouses.</li><li>Website Demo: Finding PII in your dataset with DLP API.</li><li>Partner effectively with other data teams.</li><li>Manage data access and governance.</li><li>Build production-ready pipelines.</li><li>Review GCP customer case study.</li><li>Lab: Analyzing Data with BigQuery.</li></ul><h4>Building a Data Lake</h4><ul><li>Introduction to Data Lakes.</li><li>Data Storage and ETL options on GCP.</li><li>Building a Data Lake using Cloud Storage.</li><li>Optional Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions.</li><li>Securing Cloud Storage.</li><li>Storing All Sorts of Data Types.</li><li>Video Demo: Running federated queries on Parquet and ORC files in BigQuery.</li><li>Cloud SQL as a relational Data Lake.</li><li>Lab: Loading Taxi Data into Cloud SQL.</li></ul><h4>Building a Data Warehouse</h4><ul><li>The modern data warehouse.</li><li>Intro to BigQuery.</li><li>Demo: Query TB+ of data in seconds.</li><li>Getting Started.</li><li>Loading Data.</li><li>Video Demo: Querying Cloud SQL from BigQuery.</li><li>Lab: Loading Data into BigQuery.</li><li>Exploring Schemas.</li><li>Demo: Exploring BigQuery Public Datasets with SQL using INFORMATION_SCHEMA.</li><li>Schema Design.</li><li>Nested and Repeated Fields.</li><li>Demo: Nested and repeated fields in BigQuery.</li><li>Lab: Working with JSON and Array data in BigQuery.</li><li>Optimizing with Partitioning and Clustering.</li><li>Demo: Partitioned and Clustered Tables in BigQuery.</li><li>Preview: Transforming Batch and Streaming Data.</li></ul><h4>Introduction to Building Batch Data Pipelines</h4><ul><li>EL, ELT, ETL.</li><li>Quality considerations.</li><li>How to carry out operations in BigQuery.</li><li>Demo: ELT to improve data quality in BigQuery.</li><li>Shortcomings.</li><li>ETL to solve data quality issues.</li></ul><h4>Executing Spark on Cloud Dataproc</h4><ul><li>The Hadoop ecosystem.</li><li>Running Hadoop on Cloud Dataproc.</li><li>GCS instead of HDFS.</li><li>Optimizing Dataproc.</li><li>Lab: Running Apache Spark jobs on Cloud Dataproc.</li></ul><h4>Serverless Data Processing with Cloud Dataflow</h4><ul><li>Cloud Dataflow.</li><li>Why customers value Dataflow.</li><li>Dataflow Pipelines.</li><li>Lab: A Simple Dataflow Pipeline (Python/Java).</li><li>Lab: MapReduce in Dataflow (Python/Java).</li><li>Lab: Side Inputs (Python/Java).</li><li>Dataflow Templates.</li><li>Dataflow SQL.</li></ul><h4>Manage Data Pipelines with Cloud Data Fusion and Cloud Composer</h4><ul><li>Building Batch Data Pipelines visually with Cloud Data Fusion.</li><li>Components.</li><li>UI Overview.</li><li>Building a Pipeline.</li><li>Exploring Data using Wrangler.</li><li>Lab: Building and executing a pipeline graph in Cloud Data Fusion.</li><li>Orchestrating work between GCP services with Cloud Composer.</li><li>Apache Airflow Environment.</li><li>DAGs and Operators.</li><li>Workflow Scheduling.</li><li>Optional Long Demo: Event-triggered Loading of data with Cloud Composer, Cloud Functions, Cloud Storage, and BigQuery.</li><li>Monitoring and Logging.</li><li>Lab: An Introduction to Cloud Composer.</li></ul><h4>Introduction to Processing Streaming Data</h4><ul><li>Processing Streaming Data.</li></ul><h4>Serverless Messaging with Cloud Pub/Sub</h4><ul><li>Cloud Pub/Sub.</li><li>Lab: Publish Streaming Data into Pub/Sub.</li></ul><h4>Cloud Dataflow Streaming Features</h4><ul><li>Cloud Dataflow Streaming Features.</li><li>Lab: Streaming Data Pipelines.</li></ul><h4>High-Throughput BigQuery and Bigtable Streaming Features</h4><ul><li>BigQuery Streaming Features.</li><li>Lab: Streaming Analytics and Dashboards.</li><li>Cloud Bigtable.</li><li>Lab: Streaming Data Pipelines into Bigtable.</li></ul><h4>Advanced BigQuery Functionality and Performance</h4><ul><li>Analytic Window Functions.</li><li>Using With Clauses.</li><li>GIS Functions.</li><li>Demo: Mapping Fastest Growing Zip Codes with BigQuery GeoViz.</li><li>Performance Considerations.</li><li>Lab: Optimizing your BigQuery Queries for Performance.</li><li>Optional Lab: Creating Date-Partitioned Tables in BigQuery.</li></ul><h4>Introduction to Analytics and AI</h4><ul><li>What is AI?.</li><li>From Ad-hoc Data Analysis to Data Driven Decisions.</li><li>Options for ML models on GCP.</li></ul><h4>Prebuilt ML model APIs for Unstructured Data</h4><ul><li>Unstructured Data is Hard.</li><li>ML APIs for Enriching Data.</li><li>Lab: Using the Natural Language API to Classify Unstructured Text.</li></ul><h4>Big Data Analytics with Cloud AI Platform Notebooks</h4><ul><li>What's a Notebook.</li><li>BigQuery Magic and Ties to Pandas.</li><li>Lab: BigQuery in Jupyter Labs on AI Platform.</li></ul><h4>Production ML Pipelines with Kubeflow</h4><ul><li>Ways to do ML on GCP.</li><li>Kubeflow.</li><li>AI Hub.</li><li>Lab: Running AI models on Kubeflow.</li></ul><h4>Custom Model building with SQL in BigQuery ML</h4><ul><li>BigQuery ML for Quick Model Building.</li><li>Demo: Train a model with BigQuery ML to predict NYC taxi fares.</li><li>Supported Models.</li><li>Lab Option 1: Predict Bike Trip Duration with a Regression Model in BQML.</li><li>Lab Option 2: Movie Recommendations in BigQuery ML.</li></ul><h4>Custom Model building with Cloud AutoML</h4><ul><li>Why Auto ML?</li><li>Auto ML Vision.</li><li>Auto ML NLP.</li><li>Auto ML Tables.</li></ul></div>

Google Data Analytics

Google Cloud

Data Engineering on Google Cloud

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p></p><p>The Microsoft Security Operations Analyst collaborates with organizational stakeholders to secure information technology systems for the organization. Their goal is to reduce organizational risk by rapidly remediating active attacks in the environment, advising on improvements to threat protection practices, and referring violations of organizational policies to appropriate stakeholders. Responsibilities include threat management, monitoring, and response by using a variety of security solutions across their environment. The role primarily investigates, responds to, and hunts for threats using Microsoft Sentinel, Microsoft Defender for Cloud, Microsoft 365 Defender, and third-party security products. Since the Security Operations Analyst consumes the operational output of these tools, they are also a critical stakeholder in the configuration and deployment of these technologies.</p><p></p><p></p><p>Learn how to investigate, respond to, and hunt for threats using Microsoft Sentinel, Microsoft Defender for Cloud, and Microsoft 365 Defender. In this course you will learn how to mitigate cyberthreats using these technologies. Specifically, you will configure and use Microsoft Sentinel as well as utilize Kusto Query Language (KQL) to perform detection, analysis, and reporting. The course was designed for people who work in a Security Operations job role and helps learners prepare for the exam SC-200: Microsoft Security Operations Analyst.</p><p></p>Prerequisites<p></p><li>Basic understanding of Microsoft 365</li>  <li>Fundamental understanding of Microsoft security, compliance, and identity products</li>   <li> Intermediate understanding of Windows 10</li>  <li> Familiarity with Azure services, specifically Azure SQL Database and Azure Storage</li>   <li> Familiarity with Azure virtual machines and virtual networking</li>   <li>Basic understanding of scripting concepts.</li><p></p></div><div id="course-pills-2"><h3>1 - Introduction to Microsoft 365 threat protection</h3> <ul> <li>Explore Extended Detection &amp; Response (XDR) response use cases</li> <li>Understand Microsoft Defender XDR in a Security Operations Center (SOC)</li> <li>Explore Microsoft Security Graph</li> <li>Investigate security incidents in Microsoft Defender XDR</li> </ul> <h3>2 - Mitigate incidents using Microsoft 365 Defender</h3> <ul> <li>Use the Microsoft Defender portal</li> <li>Manage incidents</li> <li>Investigate incidents</li> <li>Manage and investigate alerts</li> <li>Manage automated investigations</li> <li>Use the action center</li> <li>Explore advanced hunting</li> <li>Investigate Microsoft Entra sign-in logs</li> <li>Understand Microsoft Secure Score</li> <li>Analyze threat analytics</li> <li>Analyze reports</li> <li>Configure the Microsoft Defender portal</li> </ul> <h3>3 - Protect your identities with Microsoft Entra ID Protection</h3> <ul> <li>Microsoft Entra ID Protection overview</li> <li>Detect risks with Microsoft Entra ID Protection policies</li> <li>Investigate and remediate risks detected by Microsoft Entra ID Protection</li> </ul> <h3>4 - Remediate risks with Microsoft Defender for Office 365</h3> <ul> <li>Automate, investigate, and remediate</li> <li>Configure, protect, and detect</li> <li>Simulate attacks</li> </ul> <h3>5 - Safeguard your environment with Microsoft Defender for Identity</h3> <ul> <li>Configure Microsoft Defender for Identity sensors</li> <li>Review compromised accounts or data</li> <li>Integrate with other Microsoft tools</li> </ul> <h3>6 - Secure your cloud apps and services with Microsoft Defender for Cloud Apps</h3> <ul> <li>Understand the Defender for Cloud Apps Framework</li> <li>Explore your cloud apps with Cloud Discovery</li> <li>Protect your data and apps with Conditional Access App Control</li> <li>Walk through discovery and access control with Microsoft Defender for Cloud Apps</li> <li>Classify and protect sensitive information</li> <li>Detect Threats</li> </ul> <h3>7 - Respond to data loss prevention alerts using Microsoft 365</h3> <ul> <li>Describe data loss prevention alerts</li> <li>Investigate data loss prevention alerts in Microsoft Purview</li> <li>Investigate data loss prevention alerts in Microsoft Defender for Cloud Apps</li> </ul> <h3>8 - Manage insider risk in Microsoft Purview</h3> <ul> <li>Insider risk management overview</li> <li>Create and manage insider risk policies</li> <li>Investigate insider risk alerts</li> <li>Take action on insider risk alerts through cases</li> <li>Manage insider risk management forensic evidence</li> <li>Create insider risk management notice templates</li> </ul> <h3>9 - Investigate threats by using audit features in Microsoft Defender XDR and Microsoft Purview Standard</h3> <ul> <li>Explore Microsoft Purview Audit solutions</li> <li>Implement Microsoft Purview Audit (Standard)</li> <li>Start recording activity in the Unified Audit Log</li> <li>Search the Unified Audit Log (UAL)</li> <li>Export, configure, and view audit log records</li> <li>Use audit log searching to investigate common support issues</li> </ul> <h3>10 - Investigate threats using audit in Microsoft Defender XDR and Microsoft Purview (Premium)</h3> <ul> <li>Explore Microsoft Purview Audit (Premium)</li> <li>Implement Microsoft Purview Audit (Premium)</li> <li>Manage audit log retention policies</li> <li>Investigate compromised email accounts using Purview Audit (Premium)</li> </ul> <h3>11 - Investigate threats with Content search in Microsoft Purview</h3> <ul> <li>Explore Microsoft Purview eDiscovery solutions</li> <li>Create a content search</li> <li>View the search results and statistics</li> <li>Export the search results and search report</li> <li>Configure search permissions filtering</li> <li>Search for and delete email messages</li> </ul> <h3>12 - Protect against threats with Microsoft Defender for Endpoint</h3> <ul> <li>Practice security administration</li> <li>Hunt threats within your network</li> </ul> <h3>13 - Deploy the Microsoft Defender for Endpoint environment</h3> <ul> <li>Create your environment</li> <li>Understand operating systems compatibility and features</li> <li>Onboard devices</li> <li>Manage access</li> <li>Create and manage roles for role-based access control</li> <li>Configure device groups</li> <li>Configure environment advanced features</li> </ul> <h3>14 - Implement Windows security enhancements with Microsoft Defender for Endpoint</h3> <ul> <li>Understand attack surface reduction</li> <li>Enable attack surface reduction rules</li> </ul> <h3>15 - Perform device investigations in Microsoft Defender for Endpoint</h3> <ul> <li>Use the device inventory list</li> <li>Investigate the device</li> <li>Use behavioral blocking</li> <li>Detect devices with device discovery</li> </ul> <h3>16 - Perform actions on a device using Microsoft Defender for Endpoint</h3> <ul> <li>Explain device actions</li> <li>Run Microsoft Defender antivirus scan on devices</li> <li>Collect investigation package from devices</li> <li>Initiate live response session</li> </ul> <h3>17 - Perform evidence and entities investigations using Microsoft Defender for Endpoint</h3> <ul> <li>Investigate a file</li> <li>Investigate a user account</li> <li>Investigate an IP address</li> <li>Investigate a domain</li> </ul> <h3>18 - Configure and manage automation using Microsoft Defender for Endpoint</h3> <ul> <li>Configure advanced features</li> <li>Manage automation upload and folder settings</li> <li>Configure automated investigation and remediation capabilities</li> <li>Block at risk devices</li> </ul> <h3>19 - Configure for alerts and detections in Microsoft Defender for Endpoint</h3> <ul> <li>Configure advanced features</li> <li>Configure alert notifications</li> <li>Manage alert suppression</li> <li>Manage indicators</li> </ul> <h3>20 - Utilize Vulnerability Management in Microsoft Defender for Endpoint</h3> <ul> <li>Understand vulnerability management</li> <li>Explore vulnerabilities on your devices</li> <li>Manage remediation</li> </ul> <h3>21 - Plan for cloud workload protections using Microsoft Defender for Cloud</h3> <ul> <li>Explain Microsoft Defender for Cloud</li> <li>Describe Microsoft Defender for Cloud workload protections</li> <li>Enable Microsoft Defender for Cloud</li> </ul> <h3>22 - Connect Azure assets to Microsoft Defender for Cloud</h3> <ul> <li>Explore and manage your resources with asset inventory</li> <li>Configure auto provisioning</li> <li>Manual log analytics agent provisioning</li> </ul> <h3>23 - Connect non-Azure resources to Microsoft Defender for Cloud</h3> <ul> <li>Protect non-Azure resources</li> <li>Connect non-Azure machines</li> <li>Connect your AWS accounts</li> <li>Connect your GCP accounts</li> </ul> <h3>24 - Manage your cloud security posture management?</h3> <ul> <li>Explore Secure Score</li> <li>Explore Recommendations</li> <li>Measure and enforce regulatory compliance</li> <li>Understand Workbooks</li> </ul> <h3>25 - Explain cloud workload protections in Microsoft Defender for Cloud</h3> <ul> <li>Understand Microsoft Defender for servers</li> <li>Understand Microsoft Defender for App Service</li> <li>Understand Microsoft Defender for Storage</li> <li>Understand Microsoft Defender for SQL</li> <li>Understand Microsoft Defender for open-source databases</li> <li>Understand Microsoft Defender for Key Vault</li> <li>Understand Microsoft Defender for Resource Manager</li> <li>Understand Microsoft Defender for DNS</li> <li>Understand Microsoft Defender for Containers</li> <li>Understand Microsoft Defender additional protections</li> </ul> <h3>26 - Remediate security alerts using Microsoft Defender for Cloud</h3> <ul> <li>Understand security alerts</li> <li>Remediate alerts and automate responses</li> <li>Suppress alerts from Defender for Cloud</li> <li>Generate threat intelligence reports</li> <li>Respond to alerts from Azure resources</li> </ul> <h3>27 - Construct KQL statements for Microsoft Sentinel</h3> <ul> <li>Understand the Kusto Query Language statement structure</li> <li>Use the search operator</li> <li>Use the where operator</li> <li>Use the let statement</li> <li>Use the extend operator</li> <li>Use the order by operator</li> <li>Use the project operators</li> </ul> <h3>28 - Analyze query results using KQL</h3> <ul> <li>Use the summarize operator</li> <li>Use the summarize operator to filter results</li> <li>Use the summarize operator to prepare data</li> <li>Use the render operator to create visualizations</li> </ul> <h3>29 - Build multi-table statements using KQL</h3> <ul> <li>Use the union operator</li> <li>Use the join operator</li> </ul> <h3>30 - Work with data in Microsoft Sentinel using Kusto Query Language</h3> <ul> <li>Extract data from unstructured string fields</li> <li>Extract data from structured string data</li> <li>Integrate external data</li> <li>Create parsers with functions</li> </ul> <h3>31 - Introduction to Microsoft Sentinel</h3> <ul> <li>What is Microsoft Sentinel?</li> <li>How Microsoft Sentinel works</li> <li>When to use Microsoft Sentinel</li> </ul> <h3>32 - Create and manage Microsoft Sentinel workspaces</h3> <ul> <li>Plan for the Microsoft Sentinel workspace</li> <li>Create a Microsoft Sentinel workspace</li> <li>Manage workspaces across tenants using Azure Lighthouse</li> <li>Understand Microsoft Sentinel permissions and roles</li> <li>Manage Microsoft Sentinel settings</li> <li>Configure logs</li> </ul> <h3>33 - Query logs in Microsoft Sentinel</h3> <ul> <li>Query logs in the logs page</li> <li>Understand Microsoft Sentinel tables</li> <li>Understand common tables</li> <li>Understand Microsoft Defender XDR tables</li> </ul> <h3>34 - Use watchlists in Microsoft Sentinel</h3> <ul> <li>Plan for watchlists</li> <li>Create a watchlist</li> <li>Manage watchlists</li> </ul> <h3>35 - Utilize threat intelligence in Microsoft Sentinel</h3> <ul> <li>Define threat intelligence</li> <li>Manage your threat indicators</li> <li>View your threat indicators with KQL</li> </ul> <h3>36 - Connect data to Microsoft Sentinel using data connectors</h3> <ul> <li>Ingest log data with data connectors</li> <li>Understand data connector providers</li> <li>View connected hosts</li> </ul> <h3>37 - Connect Microsoft services to Microsoft Sentinel</h3> <ul> <li>Plan for Microsoft services connectors</li> <li>Connect the Microsoft Office 365 connector</li> <li>Connect the Microsoft Entra connector</li> <li>Connect the Microsoft Entra ID Protection connector</li> <li>Connect the Azure Activity connector</li> </ul> <h3>38 - Connect Microsoft Defender XDR to Microsoft Sentinel</h3> <ul> <li>Plan for Microsoft Defender XDR connectors</li> <li>Connect the Microsoft Defender XDR connector</li> <li>Connect Microsoft Defender for Cloud connector</li> <li>Connect Microsoft Defender for IoT</li> <li>Connect Microsoft Defender legacy connectors</li> </ul> <h3>39 - Connect Windows hosts to Microsoft Sentinel</h3> <ul> <li>Plan for Windows hosts security events connector</li> <li>Connect using the Windows Security Events via AMA Connector</li> <li>Connect using the Security Events via Legacy Agent Connector</li> <li>Collect Sysmon event logs</li> </ul> <h3>40 - Connect Common Event Format logs to Microsoft Sentinel</h3> <ul> <li>Plan for Common Event Format connector</li> <li>Connect your external solution using the Common Event Format connector</li> </ul> <h3>41 - Connect syslog data sources to Microsoft Sentinel</h3> <ul> <li>Plan for syslog data collection</li> <li>Collect data from Linux-based sources using syslog</li> <li>Configure the Data Collection Rule for Syslog Data Sources</li> <li>Parse syslog data with KQL</li> </ul> <h3>42 - Connect threat indicators to Microsoft Sentinel</h3> <ul> <li>Plan for threat intelligence connectors</li> <li>Connect the threat intelligence TAXII connector</li> <li>Connect the threat intelligence platforms connector</li> <li>View your threat indicators with KQL</li> </ul> <h3>43 - Threat detection with Microsoft Sentinel analytics</h3> <ul> <li>What is Microsoft Sentinel Analytics?</li> <li>Types of analytics rules</li> <li>Create an analytics rule from templates</li> <li>Create an analytics rule from wizard</li> <li>Manage analytics rules</li> </ul> <h3>44 - Automation in Microsoft Sentinel</h3> <ul> <li>Understand automation options</li> <li>Create automation rules</li> </ul> <h3>45 - Threat response with Microsoft Sentinel playbooks</h3> <ul> <li>What are Microsoft Sentinel playbooks?</li> <li>Trigger a playbook in real-time</li> <li>Run playbooks on demand</li> </ul> <h3>46 - Security incident management in Microsoft Sentinel</h3> <ul> <li>Understand incidents</li> <li>Incident evidence and entities</li> <li>Incident management</li> </ul> <h3>47 - Identify threats with Behavioral Analytics</h3> <ul> <li>Understand behavioral analytics</li> <li>Explore entities</li> <li>Display entity behavior information</li> <li>Use Anomaly detection analytical rule templates</li> </ul> <h3>48 - Data normalization in Microsoft Sentinel</h3> <ul> <li>Understand data normalization</li> <li>Use ASIM Parsers</li> <li>Understand parameterized KQL functions</li> <li>Create an ASIM Parser</li> <li>Configure Azure Monitor Data Collection Rules</li> </ul> <h3>49 - Query, visualize, and monitor data in Microsoft Sentinel</h3> <ul> <li>Monitor and visualize data</li> <li>Query data using Kusto Query Language</li> <li>Use default Microsoft Sentinel Workbooks</li> <li>Create a new Microsoft Sentinel Workbook</li> </ul> <h3>50 - Manage content in Microsoft Sentinel</h3> <ul> <li>Use solutions from the content hub</li> <li>Use repositories for deployment</li> </ul> <h3>51 - Explain threat hunting concepts in Microsoft Sentinel</h3> <ul> <li>Understand cybersecurity threat hunts</li> <li>Develop a hypothesis</li> <li>Explore MITRE ATT&amp;CK</li> </ul> <h3>52 - Threat hunting with Microsoft Sentinel</h3> <ul> <li>Explore creation and management of threat-hunting queries</li> <li>Save key findings with bookmarks</li> <li>Observe threats over time with livestream</li> </ul> <h3>53 - Use Search jobs in Microsoft Sentinel</h3> <ul> <li>Hunt with a Search Job</li> <li>Restore historical data</li> </ul> <h3>54 - Hunt for threats using notebooks in Microsoft Sentinel</h3> <ul> <li>Access Azure Sentinel data with external tools</li> <li>Hunt with notebooks</li> <li>Create a notebook</li> <li>Explore notebook code</li> </ul></div>

Microsoft Certification

Microsoft AZ-900

Microsoft AZ-104

Microsoft SC-200

Microsoft AZ-303

Microsoft AZ-700

SC-200T00 Microsoft Security Operations Analyst

<p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Laurel is the essence of personalised ease and style. The perfect gift for the budding writer or professional in your life - maybe that&rsquo;s you.</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Never miss a meeting or big idea with this refillable leather diary / notebook cover (A5) that fits easily into a bag or briefcase.</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Laurel features a contrasting adjustable strap with stud fastening to keep your work secure, and two internal card slots perfect for business meetings.</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Choose your preferred English hand bound paper insert: Plain or lined notebook, or week to view diary.&nbsp;</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">There are 9 leather colours to choose from, 2 leather colour straps and gold or silver hardware.</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Make it your own with bespoke personalisation. If you&rsquo;re gifting Laurel, a personalised message can be embossed to the bottom right corner (as standard), but get in touch if you have other requests.(This is +&pound;5)</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Size and DetailsSlim A5 (Quarto Medium) removable leather notebook or diary cover</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Paper size: 210mm x 135mm<br fr-original-style="" style="box-sizing: border-box;">Thickness: 120 pages<br fr-original-style="" style="box-sizing: border-box;">Cover size: 225mm x 145mm x 20mm<br fr-original-style="" style="box-sizing: border-box;">1x insert included<br fr-original-style="" style="box-sizing: border-box;">Made to order and available in multiple colours with contrasting strap.<br fr-original-style="" style="box-sizing: border-box;">Timeless designFront strap features the Hands of Tym logo.<br fr-original-style="" style="box-sizing: border-box;">Made from respectfully-sourced Italian vegetable-tanned leather (biodegradable).<br fr-original-style="" style="box-sizing: border-box;">Hand cut. Handmade. Hand finished.</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Other Sizes Available:Slim A4 (Folio Large)Slim A6 (Octavo Pocket)REFILL PAD available</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Personalisation &amp; Unique stamp (not available for Courses or Tools &amp; Supplies)</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">What is personalisation? Personalisation is an embossed stamp of characters including letters, emojis etc. Please select from the options below if you would like to add to your product.</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">What is a Unique Stamp? A unique stamp is a custom stamp made up of an image of your choice. It can be handprints, a drawing, handwriting etc. We can discuss this with you once you place your order. (This is +&pound;45)</p><h3 style="color: rgb(62, 64, 67); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">How this was made</h3><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Made from respectfully-sourced Italian vegetable-tanned leather, Laurel is free from harsh chemicals. Over time the luxury leather will develop a buttery soft patina. The paper inserts are hand-bound by experienced artisans in England from a quality British paper. Laurel has been thoughtfully designed and handmade by Hands of Tym, in Oxfordshire, England.</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Material and CareMaterialsHere at Hands of Tym, we are passionate about sourcing the highest quality sustainable materials.</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">We use responsibly-sourced Italian vegetable-tanned leather. Find out more here.Using only the highest quality cuts, the leather will improve with use and age, developing a soft patina over time.</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Natural variations are a product feature of this material and contribute to the individual style of the product.The leather is free from harmful chemicals and biodegradable at the end of its life.Hand cut, handmade and hand finished in our workshop in Oxfordshire, England.</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Care</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Please note: There may be natural changes in the colour of the materials and they may stain easily. Please be careful with oils and inks. When not in use, store your product in the soft cloth bag (provided) in a cool and dry place.</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Repair</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">When you buy from Hands of Tym, you&rsquo;re getting so much more than your new purchase. You&rsquo;re creating a connection with the maker - Georgie Tym. If your leather product becomes damaged (afterall, life happens), contact us to find out about repairing your item.</p><h3 style="color: rgb(62, 64, 67); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">What&#39;s included in the price?</h3><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Laurel arrives complete with one insert and additional inserts can be purchased directly from us. Laurel arrives wrapped in tissue paper inside a black cotton dust bag, including a &#39;Made for you&#39; card with care instructions and a unique code to identify your handmade leather notebook cover.</p>

Hands of Tym

'Laurel' The Bespoke Handmade Luxury Leather Notebook / Diary Slim A5

1x "Laurel" Leather Notebook

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p></p><p>The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course includes data analysts and data scientists who work with analytical solutions built on Microsoft Azure.</p><p></p><p></p><p>In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage.</p><p></p>Prerequisites<p></p><p>Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions.</p>  <li>AZ-900T00 Microsoft Azure Fundamentals</li>  <li>DP-900T00 Microsoft Azure Data Fundamentals</li><p></p></div><div id="course-pills-2"><h3>1 - Introduction to data engineering on Azure</h3> <ul> <li>What is data engineering</li> <li>Important data engineering concepts</li> <li>Data engineering in Microsoft Azure</li> </ul> <h3>2 - Introduction to Azure Data Lake Storage Gen2</h3> <ul> <li>Understand Azure Data Lake Storage Gen2</li> <li>Enable Azure Data Lake Storage Gen2 in Azure Storage</li> <li>Compare Azure Data Lake Store to Azure Blob storage</li> <li>Understand the stages for processing big data</li> <li>Use Azure Data Lake Storage Gen2 in data analytics workloads</li> </ul> <h3>3 - Introduction to Azure Synapse Analytics</h3> <ul> <li>What is Azure Synapse Analytics</li> <li>How Azure Synapse Analytics works</li> <li>When to use Azure Synapse Analytics</li> </ul> <h3>4 - Use Azure Synapse serverless SQL pool to query files in a data lake</h3> <ul> <li>Understand Azure Synapse serverless SQL pool capabilities and use cases</li> <li>Query files using a serverless SQL pool</li> <li>Create external database objects</li> </ul> <h3>5 - Use Azure Synapse serverless SQL pools to transform data in a data lake</h3> <ul> <li>Transform data files with the CREATE EXTERNAL TABLE AS SELECT statement</li> <li>Encapsulate data transformations in a stored procedure</li> <li>Include a data transformation stored procedure in a pipeline</li> </ul> <h3>6 - Create a lake database in Azure Synapse Analytics</h3> <ul> <li>Understand lake database concepts</li> <li>Explore database templates</li> <li>Create a lake database</li> <li>Use a lake database</li> </ul> <h3>7 - Analyze data with Apache Spark in Azure Synapse Analytics</h3> <ul> <li>Get to know Apache Spark</li> <li>Use Spark in Azure Synapse Analytics</li> <li>Analyze data with Spark</li> <li>Visualize data with Spark</li> </ul> <h3>8 - Transform data with Spark in Azure Synapse Analytics</h3> <ul> <li>Modify and save dataframes</li> <li>Partition data files</li> <li>Transform data with SQL</li> </ul> <h3>9 - Use Delta Lake in Azure Synapse Analytics</h3> <ul> <li>Understand Delta Lake</li> <li>Create Delta Lake tables</li> <li>Create catalog tables</li> <li>Use Delta Lake with streaming data</li> <li>Use Delta Lake in a SQL pool</li> </ul> <h3>10 - Analyze data in a relational data warehouse</h3> <ul> <li>Design a data warehouse schema</li> <li>Create data warehouse tables</li> <li>Load data warehouse tables</li> <li>Query a data warehouse</li> </ul> <h3>11 - Load data into a relational data warehouse</h3> <ul> <li>Load staging tables</li> <li>Load dimension tables</li> <li>Load time dimension tables</li> <li>Load slowly changing dimensions</li> <li>Load fact tables</li> <li>Perform post load optimization</li> </ul> <h3>12 - Build a data pipeline in Azure Synapse Analytics</h3> <ul> <li>Understand pipelines in Azure Synapse Analytics</li> <li>Create a pipeline in Azure Synapse Studio</li> <li>Define data flows</li> <li>Run a pipeline</li> </ul> <h3>13 - Use Spark Notebooks in an Azure Synapse Pipeline</h3> <ul> <li>Understand Synapse Notebooks and Pipelines</li> <li>Use a Synapse notebook activity in a pipeline</li> <li>Use parameters in a notebook</li> </ul> <h3>14 - Plan hybrid transactional and analytical processing using Azure Synapse Analytics</h3> <ul> <li>Understand hybrid transactional and analytical processing patterns</li> <li>Describe Azure Synapse Link</li> </ul> <h3>15 - Implement Azure Synapse Link with Azure Cosmos DB</h3> <ul> <li>Enable Cosmos DB account to use Azure Synapse Link</li> <li>Create an analytical store enabled container</li> <li>Create a linked service for Cosmos DB</li> <li>Query Cosmos DB data with Spark</li> <li>Query Cosmos DB with Synapse SQL</li> </ul> <h3>16 - Implement Azure Synapse Link for SQL</h3> <ul> <li>What is Azure Synapse Link for SQL?</li> <li>Configure Azure Synapse Link for Azure SQL Database</li> <li>Configure Azure Synapse Link for SQL Server 2022</li> </ul> <h3>17 - Get started with Azure Stream Analytics</h3> <ul> <li>Understand data streams</li> <li>Understand event processing</li> <li>Understand window functions</li> </ul> <h3>18 - Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics</h3> <ul> <li>Stream ingestion scenarios</li> <li>Configure inputs and outputs</li> <li>Define a query to select, filter, and aggregate data</li> <li>Run a job to ingest data</li> </ul> <h3>19 - Visualize real-time data with Azure Stream Analytics and Power BI</h3> <ul> <li>Use a Power BI output in Azure Stream Analytics</li> <li>Create a query for real-time visualization</li> <li>Create real-time data visualizations in Power BI</li> </ul> <h3>20 - Introduction to Microsoft Purview</h3> <ul> <li>What is Microsoft Purview?</li> <li>How Microsoft Purview works</li> <li>When to use Microsoft Purview</li> </ul> <h3>21 - Integrate Microsoft Purview and Azure Synapse Analytics</h3> <ul> <li>Catalog Azure Synapse Analytics data assets in Microsoft Purview</li> <li>Connect Microsoft Purview to an Azure Synapse Analytics workspace</li> <li>Search a Purview catalog in Synapse Studio</li> <li>Track data lineage in pipelines</li> </ul> <h3>22 - Explore Azure Databricks</h3> <ul> <li>Get started with Azure Databricks</li> <li>Identify Azure Databricks workloads</li> <li>Understand key concepts</li> </ul> <h3>23 - Use Apache Spark in Azure Databricks</h3> <ul> <li>Get to know Spark</li> <li>Create a Spark cluster</li> <li>Use Spark in notebooks</li> <li>Use Spark to work with data files</li> <li>Visualize data</li> </ul> <h3>24 - Run Azure Databricks Notebooks with Azure Data Factory</h3> <ul> <li>Understand Azure Databricks notebooks and pipelines</li> <li>Create a linked service for Azure Databricks</li> <li>Use a Notebook activity in a pipeline</li> <li>Use parameters in a notebook</li> </ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans DP-203T00 Data Engineering on Microsoft Azure training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the DP-203T00 Data Engineering on Microsoft Azure course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Microsoft Azure

DP-203T00 Data Engineering on Microsoft Azure

<p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Laurel is the essence of personalised ease and style. The perfect gift for the budding writer or professional in your life - maybe that&rsquo;s you.</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Never miss a meeting or big idea with this refillable leather diary / notebook cover (A6) that fits easily into a pocket or bag.</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Laurel features a contrasting adjustable strap with stud fastening to keep your work secure, and two internal card slots perfect for business meetings.</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Choose your preferred English hand bound paper insert: plain or lined notebook, or diary.&nbsp;</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Laurel arrives complete with one insert and additional inserts can be purchased directly from us.&nbsp;</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Made from respectfully-sourced Italian vegetable-tanned leather, Laurel is free from harsh chemicals. Over time the luxury leather will develop a buttery soft patina.</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Make it your own with bespoke personalisation. If you&rsquo;re gifting Laurel, a personalised message can be embossed to the bottom right corner (as standard), but get in touch if you have other requests.Laurel has been thoughtfully designed and handmade by Hands of Tym, in Oxfordshire, England. &nbsp; &nbsp;</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Size and Details<br fr-original-style="" style="box-sizing: border-box;">Slim A6 (Octavo Pocket) removable leather notebook or diary cover</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Paper size: 140mm x 99mm<br fr-original-style="" style="box-sizing: border-box;">Thickness: 160 pages<br fr-original-style="" style="box-sizing: border-box;">Cover size: 155mm x 100mm x 25mm<br fr-original-style="" style="box-sizing: border-box;">1x insert includedMade to order and available in multiple colours with contrasting strap.</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Timeless designFront strap features the Hands of Tym logo. Made from respectfully-sourced Italian vegetable-tanned leather (biodegradable).<br fr-original-style="" style="box-sizing: border-box;">Hand cut. Handmade. Hand finished.<br fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Other Sizes Available:</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Slim A4 click here (Folio Large)<br fr-original-style="" style="box-sizing: border-box;">Slim A5 click here (Quarto Medium)<br fr-original-style="" style="box-sizing: border-box;">REFILL PAD available to purchase<br fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Personalisation &amp; Unique stamp&nbsp;</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">What is personalisation? Personalisation is an embossed stamp of characters including letters, emojis etc. Please select from the options below if you would like to add to your product.What is a Unique Stamp? A unique stamp is a custom stamp made up of an image of your choice. It can be handprints, a drawing, handwriting etc. We can discuss this with you once you place your order. (This is +&pound;45)</p><h3 style="color: rgb(62, 64, 67); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">How this was made</h3><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Made from respectfully-sourced Italian vegetable-tanned leather, Laurel is free from harsh chemicals. Over time the luxury leather will develop a buttery soft patina. The paper inserts are hand-bound by experienced artisans in England from a quality British paper. Laurel has been thoughtfully designed and handmade by Hands of Tym, in Oxfordshire, England.</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Material and Care<br fr-original-style="" style="box-sizing: border-box;">Materials</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Here at Hands of Tym, we are passionate about sourcing the highest quality sustainable materials. We use responsibly-sourced Italian vegetable-tanned leather. Find out more here.Using only the highest quality cuts, the leather will improve with use and age, developing a soft patina over time. Natural variations are a product feature of this material and contribute to the individual style of the product.The leather is free from harmful chemicals and biodegradable at the end of its life.Hand cut, handmade and hand finished in our workshop in Oxfordshire, England.</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Care</p><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Please note: There may be natural changes in the colour of the materials and they may stain easily. Please be careful with oils and inks. When not in use, store your product in the soft cloth bag (provided) in a cool and dry place. RepairWhen you buy from Hands of Tym, you&rsquo;re getting so much more than your new purchase. You&rsquo;re creating a connection with the maker - Georgie Tym. If your leather product becomes damaged (afterall, life happens), contact us to find out about repairing your item.</p><h3 style="color: rgb(62, 64, 67); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">What&#39;s included in the price?</h3><p style="color: rgb(62, 64, 67); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(62, 64, 67);">Laurel arrives complete with one insert and additional inserts can be purchased directly from us. Laurel arrives wrapped in tissue paper inside a black cotton dust bag, including a &#39;Made for you&#39; card with care instructions and a unique code to identify your handmade leather notebook cover.</p>

'Laurel' The Bespoke Handmade Luxury Leather Notebook / Diary Slim A6 pocket size

<div id="course-pills-1">Duration<p>1 Days</p><p>6 CPD hours</p>This course is intended for<p>The primary audience for this course is data professionals who are familiar with data modeling, extraction, and analytics. It is designed for professionals who are interested in gaining knowledge about Lakehouse architecture, the Microsoft Fabric platform, and how to enable end-to-end analytics using these technologies.<br />Job role: Data Analyst, Data Engineer, Data Scientist</p>Overview<p>Describe end-to-end analytics in Microsoft Fabric<br />Describe core features and capabilities of lakehouses in Microsoft Fabric<br />Create a lakehouse<br />Ingest data into files and tables in a lakehouse<br />Query lakehouse tables with SQL<br />Configure Spark in a Microsoft Fabric workspace<br />Identify suitable scenarios for Spark notebooks and Spark jobs<br />Use Spark dataframes to analyze and transform data<br />Use Spark SQL to query data in tables and views<br />Visualize data in a Spark notebook<br />Understand Delta Lake and delta tables in Microsoft Fabric<br />Create and manage delta tables using Spark<br />Use Spark to query and transform data in delta tables<br />Use delta tables with Spark structured streaming<br />Describe Dataflow (Gen2) capabilities in Microsoft Fabric<br />Create Dataflow (Gen2) solutions to ingest and transform data<br />Include a Dataflow (Gen2) in a pipeline</p><p>This course is designed to build your foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse concept. This course will explore the powerful capabilities of Apache Spark for distributed data processing and the essential techniques for efficient data management, versioning, and reliability by working with Delta Lake tables. This course will also explore data ingestion and orchestration using Dataflows Gen2 and Data Factory pipelines. This course includes a combination of lectures and hands-on exercises that will prepare you to work with lakehouses in Microsoft Fabric.</p></div><div id="course-pills-2"><h4>Introduction to end-to-end analytics using Microsoft Fabric</h4><ul><li>Explore end-to-end analytics with Microsoft Fabric</li><li>Data teams and Microsoft Fabric</li><li>Enable and use Microsoft Fabric</li><li>Knowledge Check</li></ul><h4>Get started with lakehouses in Microsoft Fabric</h4><ul><li>Explore the Microsoft Fabric Lakehouse</li><li>Work with Microsoft Fabric Lakehouses</li><li>Exercise - Create and ingest data with a Microsoft Fabric Lakehouse</li></ul><h4>Use Apache Spark in Microsoft Fabric</h4><ul><li>Prepare to use Apache Spark</li><li>Run Spark code</li><li>Work with data in a Spark dataframe</li><li>Work with data using Spark SQL</li><li>Visualize data in a Spark notebook</li><li>Exercise - Analyze data with Apache Spark</li></ul><h4>Work with Delta Lake Tables in Microsoft Fabric</h4><ul><li>Understand Delta Lake</li><li>Create delta tables</li><li>Work with delta tables in Spark</li><li>Use delta tables with streaming data</li><li>Exercise - Use delta tables in Apache Spark</li></ul><h4>Ingest Data with DataFlows Gen2 in Microsoft Fabric</h4><ul><li>Understand Dataflows (Gen2) in Microsoft Fabric</li><li>Explore Dataflows (Gen2) in Microsoft Fabric</li><li>Integrate Dataflows (Gen2) and Pipelines in Microsoft Fabric</li><li>Exercise - Create and use a Dataflow (Gen2) in Microsoft Fabric</li></ul></div>

Apache Spark

DP-601T00 Implementing a Lakehouse with Microsoft Fabric

<div style="color: rgb(5, 5, 5); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(5, 5, 5);">Discover the &lsquo;Shimuryo Zammai&rsquo; practices &ndash; the four limitless meditations. These practices offer a kinder and more compassionate way to live in the world, to be more loving, joyful, peaceful and compassionate towards ourselves and others. They provide a remedy for the negative and unhelpful emotions of anger, loneliness, loss, sadness, jealousy, apathy and more.</div><div style="color: rgb(5, 5, 5); box-sizing: border-box;" fr-original-style=" color: rgb(5, 5, 5);"><br fr-original-style="" style="box-sizing: border-box;"></div><div style="color: rgb(5, 5, 5); box-sizing: border-box;" fr-original-style=" color: rgb(5, 5, 5);">This 5-week course introduces you to the 4-boundless practices that can enhance how you live in the world and help smooth your spiritual path.</div><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><div style="color: rgb(5, 5, 5); box-sizing: border-box;" fr-original-style=" color: rgb(5, 5, 5);">Week 1 &ndash; Introduction to the practices</div></li><li fr-original-style="" style="box-sizing: border-box;"><div style="color: rgb(5, 5, 5); box-sizing: border-box;" fr-original-style=" color: rgb(5, 5, 5);">Week 2 &ndash; Ji - <span style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style="color: rgb(0, 0, 0);">Metta or</span><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"> </span>loving kindness</div></li><li fr-original-style="" style="box-sizing: border-box;"><div style="color: rgb(5, 5, 5); box-sizing: border-box;" fr-original-style=" color: rgb(5, 5, 5);">Week 3 &ndash; Jihi &ndash;<span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"> </span><span style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style="color: rgb(0, 0, 0);">Karuṇā or&nbsp;</span>Compassion</div></li><li fr-original-style="" style="box-sizing: border-box;"><div style="color: rgb(5, 5, 5); box-sizing: border-box;" fr-original-style=" color: rgb(5, 5, 5);">Week 4 &ndash; Ki &ndash;&nbsp;<span style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style="color: rgb(0, 0, 0);">Muditā or&nbsp;</span>Sympathetic Joy</div></li><li fr-original-style="" style="box-sizing: border-box;"><div style="color: rgb(5, 5, 5); box-sizing: border-box;" fr-original-style=" color: rgb(5, 5, 5);">Week 5 &ndash; Sha &ndash; Upekkhā or Peace and Equanimity</div></li></ul><div fr-original-style="" style="box-sizing: border-box;">Plus additional workshops:</div><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><div fr-original-style="" style="box-sizing: border-box;">Living from the heart</div></li><li fr-original-style="" style="box-sizing: border-box;"><div fr-original-style="" style="box-sizing: border-box;">Finding peace and equanimity</div></li><li fr-original-style="" style="box-sizing: border-box;"><div fr-original-style="" style="box-sizing: border-box;">Complete compassion practice</div></li></ul><div style="color: rgb(5, 5, 5); box-sizing: border-box;" fr-original-style=" color: rgb(5, 5, 5);">You will be given 5 hours of teaching - recordings of the live sessions, 5 guided meditations and additional creative ideas to help you bring these qualities into your life more fully. Plus another 5 hours of bonus workshops and meditations on developing loving-kindness, peace and equanimity and compassion.</div><div style="color: rgb(5, 5, 5); box-sizing: border-box;" fr-original-style=" color: rgb(5, 5, 5);"><br fr-original-style="" style="box-sizing: border-box;"></div><div style="color: rgb(5, 5, 5); box-sizing: border-box;" fr-original-style=" color: rgb(5, 5, 5);">This course is best suited to those who already have a meditation practice, as those with a regular practice will have developed a level of concentration and focus that can help you. However if you are keen to practice and are willing to commit to the course then please feel free to join in.</div><div style="color: rgb(5, 5, 5); box-sizing: border-box;" fr-original-style=" color: rgb(5, 5, 5);"><br fr-original-style="" style="box-sizing: border-box;"></div><div style="color: rgb(5, 5, 5); box-sizing: border-box;" fr-original-style=" color: rgb(5, 5, 5);">You will need:</div><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><div style="color: rgb(5, 5, 5); box-sizing: border-box;" fr-original-style=" color: rgb(5, 5, 5);">A notebook and pen to write your meditation diary</div></li><li fr-original-style="" style="box-sizing: border-box;"><div style="color: rgb(5, 5, 5); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(5, 5, 5);">A quiet space to practice at home every day </div></li><li fr-original-style="" style="box-sizing: border-box;"><div style="color: rgb(5, 5, 5); box-sizing: border-box;" fr-original-style=" color: rgb(5, 5, 5);">To be willing to try to all the methods offered </div></li><li fr-original-style="" style="box-sizing: border-box;"><div style="color: rgb(5, 5, 5); box-sizing: border-box;" fr-original-style=" color: rgb(5, 5, 5);">Take time to develop and grow these positive qualities within</div></li><li fr-original-style="" style="box-sizing: border-box;"><div style="color: rgb(5, 5, 5); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(5, 5, 5);">Be open to ideas of bringing these elements into your day</div></li></ul><div style="color: rgb(5, 5, 5); box-sizing: border-box;" fr-original-style=" color: rgb(5, 5, 5);">You can see further information here: <a data-fr-linked="true" href="http://createharmony.co.uk/zen-compassion-plus/" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">http://createharmony.co.uk/zen-compassion-plus/</a></div>

Discover the ‘Shimuryo Zammai’ practices – the four limitless meditations. These practices offer a kinder and more compassionate way to live in the world, to be more loving, joyful, peaceful and compassionate towards ourselves and others. They provide a remedy for the negative and unhelpful emotions of anger, loneliness, loss, sadness, jealousy, apathy and more.This 5-week course introduces you to the 4-boundless practices that can enhance how you live in the world and help smooth your spiritual path.
Week 1 – Introduction to the practices
Week 2 – Ji - Metta or loving kindness
Week 3 – Jihi – Karuṇā or Compassion
Week 4 – Ki – Muditā or Sympathetic Joy
Week 5 – Sha – Upekkhā or Peace and Equanimity
Plus additional workshops:
Living from the heart
Finding peace and equanimity
Complete compassion practice
You will be given 5 hours of teaching - recordings of the live sessions, 5 guided meditations and additional creative ideas to help you bring these qualities into your life more fully. Plus another 5 hours of bonus workshops and meditations on developing loving-kindness, peace and equanimity and compassion.This course is best suited to those who already have a meditation practice, as those with a regular practice will have developed a level of concentration and focus that can help you. However if you are keen to practice and are willing to commit to the course then please feel free to join in.You will need:
A notebook and pen to write your meditation diary
A quiet space to practice at home every day
To be willing to try to all the methods offered
Take time to develop and grow these positive qualities within
Be open to ideas of bringing these elements into your day
You can see further information here: http://createharmony.co.uk/zen-compassion-plus/

Create Harmony

Mindfulness

Meditation Teacher

Meditation

Mindfulness Teacher

Discover the ‘Shimuryo Zammai’ practices – the four limitless meditations. These practices offer a kinder and more compassionate way to live in the world, to be more loving, joyful, peaceful and compassionate towards ourselves and others. 

Zen Compassion Meditation - The heart of loving-kindness

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p></p><p>This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud.</p><p></p>Overview<p>Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.</p><p></p><p>Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow.</p><p></p>Prerequisites<p></p><li>Creating cloud resources in Microsoft Azure.</li>  <li>Using Python to explore and visualize data.</li>  <li>Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow.</li>  <li>Working with containers</li>  <li>AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience.</li><p></p></div><div id="course-pills-2"><h3>1 - Design a data ingestion strategy for machine learning projects</h3> <ul> <li>Identify your data source and format</li> <li>Choose how to serve data to machine learning workflows</li> <li>Design a data ingestion solution</li> </ul> <h3>2 - Design a machine learning model training solution</h3> <ul> <li>Identify machine learning tasks</li> <li>Choose a service to train a machine learning model</li> <li>Decide between compute options</li> </ul> <h3>3 - Design a model deployment solution</h3> <ul> <li>Understand how model will be consumed</li> <li>Decide on real-time or batch deployment</li> </ul> <h3>4 - Design a machine learning operations solution</h3> <ul> <li>Explore an MLOps architecture</li> <li>Design for monitoring</li> <li>Design for retraining</li> </ul> <h3>5 - Explore Azure Machine Learning workspace resources and assets</h3> <ul> <li>Create an Azure Machine Learning workspace</li> <li>Identify Azure Machine Learning resources</li> <li>Identify Azure Machine Learning assets</li> <li>Train models in the workspace</li> </ul> <h3>6 - Explore developer tools for workspace interaction</h3> <ul> <li>Explore the studio</li> <li>Explore the Python SDK</li> <li>Explore the CLI</li> </ul> <h3>7 - Make data available in Azure Machine Learning</h3> <ul> <li>Understand URIs</li> <li>Create a datastore</li> <li>Create a data asset</li> </ul> <h3>8 - Work with compute targets in Azure Machine Learning</h3> <ul> <li>Choose the appropriate compute target</li> <li>Create and use a compute instance</li> <li>Create and use a compute cluster</li> </ul> <h3>9 - Work with environments in Azure Machine Learning</h3> <ul> <li>Understand environments</li> <li>Explore and use curated environments</li> <li>Create and use custom environments</li> </ul> <h3>10 - Find the best classification model with Automated Machine Learning</h3> <ul> <li>Preprocess data and configure featurization</li> <li>Run an Automated Machine Learning experiment</li> <li>Evaluate and compare models</li> </ul> <h3>11 - Track model training in Jupyter notebooks with MLflow</h3> <ul> <li>Configure MLflow for model tracking in notebooks</li> <li>Train and track models in notebooks</li> </ul> <h3>12 - Run a training script as a command job in Azure Machine Learning</h3> <ul> <li>Convert a notebook to a script</li> <li>Run a script as a command job</li> <li>Use parameters in a command job</li> </ul> <h3>13 - Track model training with MLflow in jobs</h3> <ul> <li>Track metrics with MLflow</li> <li>View metrics and evaluate models</li> </ul> <h3>14 - Perform hyperparameter tuning with Azure Machine Learning</h3> <ul> <li>Define a search space</li> <li>Configure a sampling method</li> <li>Configure early termination</li> <li>Use a sweep job for hyperparameter tuning</li> </ul> <h3>15 - Run pipelines in Azure Machine Learning</h3> <ul> <li>Create components</li> <li>Create a pipeline</li> <li>Run a pipeline job</li> </ul> <h3>16 - Register an MLflow model in Azure Machine Learning</h3> <ul> <li>Log models with MLflow</li> <li>Understand the MLflow model format</li> <li>Register an MLflow model</li> </ul> <h3>17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning</h3> <ul> <li>Understand Responsible AI</li> <li>Create the Responsible AI dashboard</li> <li>Evaluate the Responsible AI dashboard</li> </ul> <h3>18 - Deploy a model to a managed online endpoint</h3> <ul> <li>Explore managed online endpoints</li> <li>Deploy your MLflow model to a managed online endpoint</li> <li>Deploy a model to a managed online endpoint</li> <li>Test managed online endpoints</li> </ul> <h3>19 - Deploy a model to a batch endpoint</h3> <ul> <li>Understand and create batch endpoints</li> <li>Deploy your MLflow model to a batch endpoint</li> <li>Deploy a custom model to a batch endpoint</li> <li>Invoke and troubleshoot batch endpoints</li> </ul></div>

Azure Machine Learning

DP-100T01 Designing and Implementing a Data Science Solution on Azure

<strong>This course is intended for beginner-level individuals who are fascinated about quantum computing and want to learn more about it. It uses Jupyter notebook and IBM Qiskit tool to execute your learning into the actual computation.</strong>
        <p>Quantum computers could help the development of new breakthroughs in science, medications, machine learning, material science, and finance, which will help mankind become the best civilization in the whole universe. In fact, quantum computing is so powerful that no one knows how to use its true potential and till now, no quantum algorithm is perfect. The hardware and code are still in development stages, providing great opportunities in the future for quantum computing professionals.

This course starts by introducing you to the basics of current classical computing technology that is based on bits/binary digits (0 and 1) and quantum computing (qubits), and how it is way much more advanced than earlier. Then you will install and get tested on working with the Jupyter notebook and IBM Qiskit in order to execute codes. Lastly, you will learn all the quantum computing concepts and their execution simultaneously in a much leaner, simpler, and more concise format.

By the end of this course, you will learn the basics of quantum computing through implementing it via IBM Qiskit, and you could be able to contribute yourself to the domain that is still in the development phase and be a part of great opportunities in the future for quantum computing professionals.

The resource files are uploaded on the GitHub repository at https://github.com/PacktPublishing/Dummies-Guide-to-Practical-Quantum-Computing-with-IBM-Qiskit</p>
        <h2>What You Will Learn</h2><p>Learn essential details about quantum mechanics<br>Install and test Qiskit, the quantum framework by IBM<br>Code quantum circuit using Pauli x-gate and other gates<br>Learn eigenvalue and eigenvectors<br>Create a multi-qubit circuit using single-qubit gates<br>Learn the Deutsch-Jozsa (DJ) algorithm, which demonstrates quantum parallelism</p>
        <h2>Audience</h2><p>The course is best suited for beginners who want to start with practical quantum computing concepts.<br><br>Basic computer knowledge and enthusiasm about quantum computing are the only prerequisites to excel and extract the most out of this course.</p>
        <h2>Approach</h2><p>This course is divided into smaller modules followed by hands-on examples performed on IBM Qiskit documentation. Almost all of the illustrations and examples used in this course are from the IBM Qiskit documentation website, which may be further referred to at any point of time in the future.</p>
        <h2>Key Features</h2><p>Learn and understand about general quantum computing based on IBM Qiskit documentation * Learn quantum key distribution, which utilizes the unique properties of quantum systems * Learn quantum teleportation used for transferring quantum information from a sender to a receiver</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Dummies-Guide-to-Practical-Quantum-Computing-with-IBM-Qiskit</p>
        <h2>About the Author</h2><h3>Abhilash Nelson</h3><p>Abhilash Nelson is a pioneering, talented, and security-oriented Android/iOS mobile and PHP/Python web application developer with more than 8 years of IT experience involving designing, implementing, integrating, testing, and supporting impactful web and mobile applications. He has a master's degree in computer science and engineering and has PHP/Python programming experience, which is an added advantage for server-based Android and iOS client applications. Abhilash is currently a senior solution architect managing projects from start to finish to ensure high quality and innovative and functional design.</p>
        <h2>Course Outline</h2><h4>1. Course Introduction and Table of Contents</h4><p></p><br><h4>2. Introduction to Quantum Mechanics</h4><p></p><br><h4>3. Classical Bit vs Quantum Qubit</h4><p></p><br><h4>4. Creating, Retaining and Reading out Qubits</h4><p></p><br><h4>5. Vector and Matrix Quantum States</h4><p></p><br><h4>6. Classic Logic Gates Overview</h4><p></p><br><h4>7. Popular Quantum Frameworks</h4><p></p><br><h4>8. Installing Anaconda Python Distribution</h4><p></p><br><h4>9. Installing and Testing Qiskit</h4><p></p><br><h4>10. Pauli X-gate in Qiskit</h4><p></p><br><h4>11. Pauli X-gate input and output customizations</h4><p></p><br><h4>12. Pauli X-gate in Real IBM Quantum Computer</h4><p></p><br><h4>13. Pauli Matrixes as State Vectors</h4><p></p><br><h4>14. Pauli Y-gate Operations</h4><p></p><br><h4>15. Pauli Z-gate</h4><p></p><br><h4>16. Eigen Vectors of XYZ gates</h4><p></p><br><h4>17. Hadamard Gate Introduction</h4><p></p><br><h4>18. Hadamard Gate in Qiskit</h4><p></p><br><h4>19. Hadamard Gate Exercises</h4><p></p><br><h4>20. H gate in Real Quantum Computer</h4><p></p><br><h4>21. R phi Gate</h4><p></p><br><h4>22. S and T Gates</h4><p></p><br><h4>23. U and I Gates</h4><p></p><br><h4>24. Multi Qubit states introduction</h4><p></p><br><h4>25. Representing Multi Qubit States</h4><p></p><br><h4>26. Multi Qubit Circuit using Single Qubit Gates - sample circuit 1</h4><p></p><br><h4>27. Multi Qubit Circuit using Single Qubit Gates - sample circuit 2</h4><p></p><br><h4>28. CNOT gate with classical Qubits</h4><p></p><br><h4>29. CNOT gate with control qubit superposition</h4><p></p><br><h4>30. CNOT gate with control qubit superposition - In Real Quantum Computer</h4><p></p><br><h4>31. CNOT gate with both qubit superposition</h4><p></p><br><h4>32. CNOT gate with both qubit superposition target x</h4><p></p><br><h4>33. CNOT Circuit Identities</h4><p></p><br><h4>34. CZ Circuit Identity</h4><p></p><br><h4>35. CY Circuit Identity</h4><p></p><br><h4>36. SWAP Circuit Identity</h4><p></p><br><h4>37. Toffoli Gate</h4><p></p><br><h4>38. Toffoli Circuit Identity</h4><p></p><br><h4>39. DJ Problem Overview</h4><p></p><br><h4>40. DJ Algorithm Design</h4><p></p><br><h4>41. DJ Algorithm Implementation</h4><p></p><br><h4>42. Quantum Cryptography : Quantum Key Distribution</h4><p></p><br><h4>43. Quantum Teleportation Theory</h4><p></p><br><h4>44. Further Learning and Resources</h4><p></p>

Qiskit

Quantum Computing

This course is intended for beginner-level individuals who are fascinated about quantum computing and want to learn more about it. It uses Jupyter notebook and IBM Qiskit tool to execute your learning into the actual computation.

Beginners' Guide to Practical Quantum Computing with IBM Qiskit

<div>
	<h3><strong>Description:</strong></h3>
<p><span><strong>Microsoft OneNote 2016</strong> has modernized the look of the tabs to match the rest of the Office 2016 suite of applications and has added some new features that make this the go-to application for note-taking.</span></p>
<p><span>This <strong>Microsoft OneNote 2016</strong> covers different features of the interface, shows users how to print, covers some simple scenarios, and examine the basics of formatting. When you will complete the course you will be comfortable creating a new OneNote notebook, customizing the interface, entering information into OneNote from the variety of sources, and using OneNote's collaboration tools.</span></p>
<p><span>Joining this course will help you to improve your skills.</span></p>
<h3><b>Learning Outcomes:</b></h3>
<ul>
<li><span>Getting used to the user interface, creating notebooks, using templates, and customizing the interface</span></li>
<li><span>Add images, tables, audio, video, Quick Notes and links; modify notebook formatting, and utilize tags, symbols, drawing tools and pen options</span></li>
<li><span>Save and export content while using alternate file types, managing notebook recycle bins and backups</span></li>
<li><span>Integrating other Microsoft programs with OneNote such as Excel and Visio through working with spreadsheets, diagrams and other embedded files</span></li>
<li><span>Sharing and collaborating on notebooks through sending them and Outlook integration</span></li>
<li><span>Finalizing notebooks through proofing and print settings, configuring notebook settings, properties and security</span></li>
<li><span>Conducting searches on notebooks</span></li>
</ul>
<h3><b>Assessment:</b></h3>
<ul>
<li><span>At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not.</span></li>
<li><span>Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam.</span></li>
</ul>
<h3><b>Certification:</b></h3>
<ul>
<li><span>After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement.</span></li>
<li><span>Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24.</span></li>
</ul>
<h3><b>Who is this Course for?</b></h3>
<p><b>Microsoft OneNote 2016 </b><span>is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills.</span></p>
<p><span>As there is no experience and qualification required for this course, it is available for all students from any academic background.</span></p>
<h3><b>Requirements</b></h3>
<p><span>Our</span><b> Microsoft OneNote 2016</b><span> is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation.</span></p>
<h3><b>Career Path</b></h3>
<p><span>After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market.</span></p>
		</div><table width="100%">				<tbody><tr>
					<td colspan="4">Exploring Notebook Structure</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Navigate the OneNote 2016 Environment</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create a Notebook</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Use Predesigned Templates for OneNote Notebooks</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Customize the User Interface</td>
					<td> </td>
					<td><span><i></i> 02:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Adding Content and Formats to a OneNote Notebook</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Modify Formatting in a Notebook</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Add Images to a Notebook</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Add Tables to a Notebook</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Add Audio and Video to a Notebook</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Add Quick Notes and Links</td>
					<td> </td>
					<td><span><i></i> 01:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Use Tags, Symbols, Drawing Tools, and Pen Options</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Managing OneNote Notebooks, History, and Backups</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Save and Export Content and Use Alternate File Types</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Manage Notebook Recycle Bins and Backups</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Working with Embedded Files</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Work with Excel Spreadsheets and Visio Diagrams</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Work with Embedded Files</td>
					<td> </td>
					<td><span><i></i> 00:45:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Sharing and Collaborating with Notebooks</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Send a Notebook and Use Outlook Integration</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Share and Collaborate on Notebooks</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Finalizing a Notebook</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Finalize a Notebook Using Proofing and Print Settings</td>
					<td> </td>
					<td><span><i></i> 01:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Configure Notebook Properties and Security</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Search Notebooks</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Activities</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Activities - Microsoft OneNote 2016</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Mock Exam</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Mock Exam- Microsoft OneNote 2016</td>
					<td> </td>
					<td><span><i></i> 00:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Final Exam</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Final Exam- Microsoft OneNote 2016</td>
					<td> </td>
					<td><span><i></i> 00:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Order Your Certificate and Transcript</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Order Your Certificates and Transcripts</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table>

John Academy

Microsoft MS-700

Microsoft Onenote

Microsoft Onedrive

Microsoft OneNote 2016

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					</div>
		</section>
							</div>
				</div>
			<p><span>Microsoft OneNote is a free-form note-taking application helps to take digital notes and keep them organized. It also allows you to add images, diagrams, audios, videos, and so on. OneNote can access from both the desktop or mobile devices.</span></p>
<p><span>The </span><b>Office 365 OneNote Online</b><span> course is intended for beginners to demonstrate the basics of OneNote Online in Office 365, including how to create a notebook and add content efficiently. This course teaches you everything from essential notes to drawings, links and embedded files and data. OneNote notebook contains pages and sections, related to a multi-subject notebook. You'll also learn to navigate and create notebooks, edit, share and print notes quite comfortably.</span></p>
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<div>
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<div>
<div>
<div>
<div>
<h3><strong>What Will I Learn?</strong></h3>
<ul>
<li><span>Work with OneNote</span></li>
<li>Create a New Notebook</li>
<li>Add and Format Content</li>
<li><span>Use Search</span></li>
</ul>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div>
<h3><strong>Requirements</strong></h3>
</div>
<div>
<div>
<div>
<div>
<div>
<ul>
<li>Basic Computer Skills</li>
</ul>
</div>
</div>
</div>
</div>
</div><table>				<tbody><tr>
					<td colspan="4">Introduction</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction</td>
					<td><span>FREE</span> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Working with OneNote</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Overview of OneNote</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Creating a New Notebook</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Navigating in OneNote</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Adding Sections and Pages to a Notebook</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Adding Content</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Formatting Content</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Using Tags</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Using Search</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Sharing &amp; Printing a Notebook</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Using Immersive Reader</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Conclusion</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Course Recap</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Course Certification</td>
				</tr>
				</tbody></table>

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