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Course Preview Learning Outcomes Introduce yourself to the basics of Python Familiarise yourself with the data types and operators Enhance your understanding of data structures and control flow Explore the vital areas of Python arrays, iterators and generators Develop a clear understanding of functions and file manipulation Why Take This Course From John Academy? Affordable, well-structured and high-quality e-learning study materials Engaging tutorial videos, materials from the industry-leading experts Opportunity to study in a user-friendly, advanced online learning platform Efficient exam systems for the assessment and instant result Earn UK & internationally recognised accredited qualification Easily access the course content on mobile, tablet, or desktop from anywhere, anytime Excellent career advancement opportunities Get 24/7 student support via email. What Skills Will You Learn from This Course? Python Who Should Take This Python for Beginners Course? Whether you're an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge. Are There Any Entry Requirements? This Python for Beginners is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful. Certificate of Achievement After completing this course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates & Transcripts can be obtained either in Hardcopy at £14.99 or in PDF format at £11.99. Career Pathâ This exclusive Python for Beginners will equip you with effective skills and abilities and help you explore career paths such as Web Developer Data Analyst Software Developer Game Developer Course Introduction Python for Beginners Introduction 00:01:00 Module 01: Getting Started with Python Why Learn Coding 00:05:00 Why Learn Python 00:04:00 Gearing Up Linux Machine For Python Programming 00:15:00 Gearing Up Windows For Python 00:13:00 Integrate Python And Git Bash With Vscode 00:03:00 Gearing Up The Macos For Python Programming 00:06:00 Installing Jupyter Notebook In Windows 00:06:00 Hello World In Jupyter Notebook 00:11:00 Module 02: Data Types and Operators Arithmetic Operators 00:14:00 Order Of Evaluation 00:09:00 Variable And Assignment Operators 00:12:00 Correct Variable Names 00:08:00 Integer Float And Complex Numbers In Python 00:11:00 Boolean Comparison Operator And Logical Operator 00:20:00 Strings In Python 00:07:00 Type And Type Casting 00:10:00 String Methods In Python 00:09:00 Taking Input From User 00:05:00 Exercise 1 00:09:00 Module 03: Data Structures Lists In Python 00:16:00 Necessitites In List 00:14:00 List Methods 00:19:00 Tuples In Python 00:14:00 Sets In Python 00:14:00 Dictionary, Mutable, Accessing Items 00:08:00 Dublicates, Constructor And Data Types In Dictionary 00:06:00 Access And Add Items In Dictionaries 00:06:00 Nested Dictionaries And Dictionary Methods 00:10:00 Exercise 2 00:12:00 Module 04: Control Flow Introduction 00:01:00 Conditional Statements 00:10:00 Short Hand If Else 00:10:00 Nested If 00:05:00 For Loops 00:13:00 While Loops In Python 00:07:00 While Vs For Loop 00:07:00 Break Continue Statment 00:07:00 Try And Except 00:07:00 Exercise 3 00:07:00 Module 05: Functions Intro To Functions 00:05:00 Arguments, Parameters And Multiple Arguments 00:09:00 Arbitrary Arguments, Keyword Arguments, Arbitrary Keyword Arguments 00:10:00 Default Parameter Value And Passing A List As Parameters 00:09:00 Return Values And Pass Statements 00:06:00 Exercise 4 00:09:00 Module 06: Python Arrays, Iterators and Generators Array, Length Of Array, Accessing Elements Of Array 00:10:00 Adding, Removing Elements In Array, Array Methods 00:12:00 Iterator In Python 00:14:00 Generators In Python 00:07:00 Exercise 5 00:07:00 Module 07: File Manipulation File Hancdling And Syntax 00:05:00 Reading The File, Line Extraction And Parsing 00:11:00 Appending And Writing The Files In Python 00:06:00 Create And Delete A File 00:05:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00
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QLS Course 01: 2021 Data Science & Machine Learning with R from A-Z QLS Course 02: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines QLS Course 03: Machine Learning with Python 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Python Data Science with Numpy, Pandas and Matplotlib Course 02: R Programming for Data Science Course 03: Statistics & Probability for Data Science & Machine Learning Course 04: Spatial Data Visualisation and Machine Learning in Python Course 05: Google Data Studio: Data Analytics In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. 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The "Data Science & Machine Learning, Excel Pivot & Machine Learning with Python" bundle is a comprehensive compilation designed to equip you with the theoretical knowledge necessary for the fast-evolving data-driven world. The three QLS-endorsed courses provide foundational understanding in Data Science, Machine Learning with R, Excel Pivot functionalities, and Machine Learning with Python, thereby setting a strong base. Furthermore, the five CPD QS accredited courses offer a deeper dive into the world of Data Science. Whether it is harnessing Python's power for data science tasks, exploring R programming, mastering statistical techniques, understanding spatial data visualisation in Python, or learning to navigate Google Data Studio for Data Analytics, this bundle has you covered. With this comprehensive learning experience, gain the theoretical insight needed to navigate and succeed in the dynamic field of data science. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in theoretical concepts of Data Science and Machine Learning. Professionals looking to enhance their knowledge in Excel Pivot Tables and Charts. Aspiring data scientists who want to learn Python and R programming for data science. Anyone seeking to understand data visualisation and analytics through Python and Google Data Studio. Career path Data Scientist: Leveraging data for actionable insights (£40,000 - £90,000 per annum). Machine Learning Engineer: Designing and implementing machine learning systems (£50,000 - £90,000 per annum). Excel Analyst: Using Excel for data analysis and visualisation (£30,000 - £60,000 per annum). Python Developer: Developing applications using Python (£40,000 - £80,000 per annum). Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included
This complete hands-on, step-by-step course targets the latest version of Raspberry Pi, which is the Raspberry Pi 4. Everything also works perfectly for Raspberry Pi 2 and 3 versions. You don't need any knowledge in programming, electronics, or anything else. All you need is a working computer and a Raspberry Pi board to get started.
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Enrol on the now and start learning instantly! What You Get With The Python Programming - Level 4 Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Python Programming - Level 4, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Unit 01: Introduction to Python Programming Module 01: Course Introduction 00:02:00 Unit 02: Getting Started with Python Module 01: Software Installation 00:02:00 Module 02: Hello World Program 00:06:00 Module 03: Input and Output 00:07:00 Module 04: Calculating Average of 5 Numbers 00:03:00 Unit 03: Conditional Branching with Python Module 01: If Loop In Python 00:06:00 Module 02: Program Using If Else part 1 00:03:00 Module 03: Program Using If Else part 2 00:08:00 Module 04: Program for Calculator 00:02:00 Module 05: Program Using For Loop 00:08:00 Module 06: For Table 00:05:00 Module 07: For loop and Mathematical Operator in Python 00:04:00 Module 08: Factorial of Number Using Python 00:06:00 Module 09: Program Using While 00:05:00 Module 10: While Loop Example 00:07:00 Module 11: Tasks for Practice 00:02:00 Unit 04: Importing external/internal library in python Module 01: Importing Library in Python 00:07:00 Unit 05: Project Rock Paper and Scissors Module 01: Rock Paper and Scissor Game 00:06:00 Unit 06: Strings Operation in Python Module 01: Program Using String part 1 00:05:00 Module 02: Program using String 2 00:06:00 Module 03: Program Using String 3 00:06:00 Module 04: Program Using String part 4 00:03:00 Unit 07: Date and time in Python Module 01: Use of Date and Time part 1 00:05:00 Module 02: Use of Date and Time part 2 00:05:00 Unit 08: File Handling, read and write using Python Module 01: File Handling Part 1 00:08:00 Module 02: File Handling Part 2 00:07:00 Unit 09: Data Storage Structures, Tuple, List and Dictionary Module 01: Tuple in Python Part 1 00:10:00 Module 02: Tuple in Python Part 2 00:07:00 Module 03: Using Lists part 1 00:07:00 Module 04: Using List part 2 00:12:00 Module 05: Using Lists part 3 00:06:00 Module 06: Using Lists part 4 00:08:00 Module 07: Using Lists part 5 00:02:00 Module 08: Use of Dictionary Part 1 00:04:00 Module 09: Use of Dictionary Part 2 00:05:00 Module 10: Use of Dictionary Part 3 00:08:00 Module 11: Use of Dictionary Part 4 00:07:00 Unit 10: Writing user functions in Python Module 01: Function in Python Part 1 00:06:00 Module 02: Function in Python Part 2 00:05:00 Module 03: Function in Python Part 3 00:04:00 Module 04: Function in Python Part 4 00:07:00 Module 05: Function in Python Part 5 00:08:00 Unit 11: Sending mail Module 01: Send Email 00:09:00 Unit 12: Import Tricks in Python Module 01: Import Study part 1 00:07:00 Module 02: Import Study part 2 00:03:00 Unit 13: Import Operating System and Platform Module 01: Importing OS 00:06:00 Module 02: Import Platform 00:05:00 Unit 14: Exceptions handling in python Module 01: Exception in Python part 1 00:11:00 Module 02: Exception in Python part 2 00:07:00 Module 03: Exception in Python part 3 00:05:00 Unit 15: Installing Packages and Scheduling In Python Module 01: Installing Packages using built in package manager 00:08:00 Module 02: Scheduler in Python 00:05:00 Unit 16: Data Base In Python using sqlite Module 01: Data Base 1 00:08:00 Module 02: Data Base 2 00:09:00 Module 03: Data Base 3 00:08:00 Module 04: Data base 4 00:07:00 Module 05: Data Base 5 00:06:00 Unit 17: Running Program from Command Prompt and jupyter Notebook Module 01: IDE_1 00:05:00 Module 02: IDE_2 00:07:00 Unit 18: Conclusion Module 01: Conclusion 00:02:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.
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CPD 100 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is tailored to suit a broad spectrum of learners, including: Aspiring Data Analysts who want to launch a new career in data analytics. Current analysts or professionals from similar fields looking to hone their Python skills and modernise their toolset. Business and IT students or recent graduates desiring a competitive edge in the job market. Career shifters interested in a more dynamic and high-paying field. Any individual who loves working with numbers, solving problems, and has a curiosity for uncovering insights in data. Requirements No experience required. Just enrol & start learning. Career path Data Analyst: £27,000 - £60,000 Senior Data Analyst: £40,000 - £75,000 Data Scientist: £50,000 - £100,000 Data Engineer: £45,000 - £90,000 Analytics Manager: £60,000 - £120,000 Director of Data Science: £90,000 - £150,000 Certificates CPD Accredited e-Certificate Digital certificate - Included CPD Accredited Framed (Hardcopy) Certificate Hard copy certificate - Included Enrolment Letter Digital certificate - Included QLS Endorsed Hard Copy Certificate Hard copy certificate - Included Student ID Card Digital certificate - Included
Description: If you have already covered the basics of Python in programming, you know it already that it is an awesome language to continue learning. Hence this Python 3 intermediate course. You will be amazed how much you can do in Python. Python is a powerful high-level, object-oriented programming language. It is a great object oriented programming language which is good to have under your belt. You can turn your idea into a prototype or create games or get started with data Science, python can help you in everything to get started. It has simple easy-to-use syntax, making it the perfect language for someone trying to make a great career in programming. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Who is this Course for? Python 3 Intermediate is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Python 3 Intermediate 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. Career Path 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. Python 3 Intermediate Iterators and Generators FREE 00:16:00 Regular Expressions 00:19:00 Introspection and Lambda Functions 00:27:00 Metaclasses and Decorators 00:24:00 Modules and Packages 00:25:00 Working with APIs 00:15:00 Metaprogramming Primer 00:19:00 Decorators and Monkey Patching 00:21:00 XML and JSON Structure 00:10:00 Generating XML and JSON 00:17:00 Parsing XML and JSON 00:19:00 Implementing Algorithms 00:19:00 Mock Exam Mock Exam- Python 3 Intermediate 00:20:00 Final Exam Final Exam- Python 3 Intermediate 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00
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Bundle Comprises the Following CPD Accredited Courses: Course 01: Machine Learning Basics Course 02: Azure Machine Learning Course 03: Python Intermediate Training Course 04: Python Data Science Course 05: 2021 Data Science & Machine Learning with R from A-Z Course 06: Complete Python Machine Learning & Data Science Fundamentals Course 07: Learn Python, JavaScript, and Microsoft SQL for Data science Course 08: Spatial Data Visualisation and Machine Learning in Python Course 09: Complete Python Machine Learning & Data Science Fundamentals Course 10: Python Programming Bible | Networking, GUI, Email, XML, CGI Course 11: Deep Learning & Neural Networks Python - Keras Course 12: The Complete Python 3 Course: Beginner to Advanced! Course 13: Building Big Data Pipelines with PySpark MongoDB and Bokeh Course 14: Clinical Data Management with SAS Programming Course 15: Certificate in Data Entry and Management Course 16: Quick Data Science Approach from Scratch Course 17: SQL for Data Science, Data Analytics and Data Visualization Course 18: Programming AutoCAD with SQL Server Database Using C# Course 19: Big Data Analytics with PySpark Power BI and MongoDB Course 20: Develop Big Data Pipelines with R & Sparklyr & Tableau Course 21: Develop Big Data Pipelines with R, Sparklyr & Power BI Course 22: Data Center Training Essentials: Power & Electrical Course 23: Business Intelligence and Data Mining Course 24: Data Analysis In Excel Course 25: CV Writing and Job Searching Course 26: Learn to Level Up Your Leadership Course 27: Networking Skills for Personal Success Course 28: Ace Your Presentations: Public Speaking Masterclass Course 29: Learn to Make a Fresh Start in Your Life Course 30: Motivation - Motivating Yourself & Others What will make you stand out? Upon completion of this online Python for Data Science and Machine Learning-(30 in 1) CPD Accredited Courses! Bundle, you will gain the following: CPD QS Accredited Proficiency with this Python for Data Science and Machine Learning Bundle After successfully completing the Python for Data Science and Machine Learning bundle, you will receive a FREE PDF Certificate from REED as evidence of your newly acquired abilities. Lifetime access to the whole collection of learning materials of this Python for Data Science and Machine Learning Bundle The online test with immediate results You can study and complete the Python for Data Science and Machine Learning bundle at your own pace. Study for the Python for Data Science and Machine Learning bundle using any internet-connected device, such as a computer, tablet, or mobile device. The Python for Data Science and Machine Learning-(30 in 1) CPD Accredited Courses! bundle is a premier learning resource, with each course module holding respected CPD accreditation, symbolising exceptional quality. The content is packed with knowledge and is regularly updated to ensure it remains relevant. This bundle offers not just education but a constantly improving learning experience designed to enrich both your personal and professional development. Advance the future of learning with the Python for Data Science and Machine Learning bundle, a comprehensive, complete collection of 30 courses. Each course in the Python for Data Science and Machine Learning bundle has been handpicked by our experts to provide a broad range of learning opportunities. Together, these modules form an important and well-rounded learning experience. Our mission is to deliver high-quality, accessible education for everyone. Whether you are starting your career, switching industries, or enhancing your professional skills, the Python for Data Science and Machine Learning bundle offers the flexibility and convenience to learn at your own pace. Make the Python for Data Science and Machine Learning package your trusted partner in your lifelong learning journey. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Python for Data Science and Machine Learning-(30 in 1) CPD Accredited Courses! is perfect for: Expand your knowledge and skillset for a fulfilling career with the Python for Data Science and Machine Learning bundle. Become a more valuable professional by earning CPD certification and mastering in-demand skills with the Python for Data Science and Machine Learning bundle. Discover your passion or explore new career options with the diverse learning opportunities in the Python for Data Science and Machine Learning bundle. Learn on your schedule, in the comfort of your home - the Python for Data Science and Machine Learning bundle offers ultimate flexibility for busy individuals. Requirements You are warmly invited to register for this bundle. Please be aware that no formal entry requirements or qualifications are necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment. Career path Gain a wide range of skills across various fields, improve your problem-solving capabilities, and keep current with industry trends. Perfect for those aiming for career advancement, exploring a new professional direction, or pursuing personal growth. Begin your journey with the Python for Data Science and Machine Learning bundle. Certificates CPD Certificates Digital certificate - Included
Learning Outcomes Get an introduction to Python programming Know how to do conditional branching with Python Deepen your knowledge of importing external/internal libraries in Python Learn about project rock, paper and scissors as well as strings operation, time and date in Python Acquire more knowledge about data storage structures, tuples, lists and dictionary Enhance your understanding of import tricks, import operating systems and platforms and exception handling in Python Learn how to instal Packages and Scheduling in Python Description 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. 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 - conditional branching with Python, writing user functions in Python, 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. 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. Certificate of Achievement 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. Method of Assessment 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. Career path After finishing this course you will get the expertise to aim for a career in the following positions: Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst Course Content Unit 01: Introduction to Python Programming Module 01: Course Introduction 00:02:00 Unit 02: Getting Started with Python Module 01: Software Installation 00:02:00 Module 02: Hello World Program 00:06:00 Module 03: Input and Output 00:07:00 Module 04: Calculating Average of 5 Numbers 00:03:00 Unit 03: Conditional Branching with Python Module 01: If Loop In Python 00:06:00 Module 02: Program Using If Else part 1 00:03:00 Module 03: Program Using If Else part 2 00:08:00 Module 04: Program for Calculator 00:02:00 Module 05: Program Using For Loop 00:08:00 Module 06: For Table 00:05:00 Module 07: For loop and Mathematical Operator in Python 00:04:00 Module 08: Factorial of Number Using Python 00:06:00 Module 09: Program Using While 00:05:00 Module 10: While Loop Example 00:07:00 Module 11: Tasks for Practice 00:02:00 Unit 04: Importing external/internal library in python Module 01: Importing Library in Python 00:07:00 Unit 05: Project Rock Paper and Scissors Module 01: Rock Paper and Scissor Game 00:06:00 Unit 06: Strings Operation in Python Module 01: Program Using String part 1 00:05:00 Module 02: Program using String 2 00:06:00 Module 03: Program Using String 3 00:06:00 Module 04: Program Using String part 4 00:03:00 Unit 07: Date and time in Python Module 01: Use of Date and Time part 1 00:05:00 Module 02: Use of Date and Time part 2 00:05:00 Unit 08: File Handling, read and write using Python Module 01: File Handling Part 1 00:08:00 Module 02: File Handling Part 2 00:07:00 Unit 09: Data Storage Structures, Tuple, List and Dictionary Module 01: Tuple in Python Part 1 00:10:00 Module 02: Tuple in Python Part 2 00:07:00 Module 03: Using Lists part 1 00:07:00 Module 04: Using List part 2 00:12:00 Module 05: Using Lists part 3 mm 00:06:00 Module 06: Using Lists part 4 00:08:00 Module 07: Using Lists part 5 00:02:00 Module 08: Use of Dictionary Part 1 00:04:00 Module 09: Use of Dictionary Part 2 00:05:00 Module 10: Use of Dictionary Part 3 00:08:00 Module 11: Use of Dictionary Part 4 00:07:00 Unit 10: Writing user functions in Python Module 01: Function in Python Part 1 00:06:00 Module 02: Function in Python Part 2 00:05:00 Module 03: Function in Python Part 3 00:04:00 Module 04: Function in Python Part 4 00:07:00 Module 05: Function in Python Part 5 00:08:00 Unit 11: Sending mail Module 01: Send Email 00:09:00 Unit 12: Import Tricks in Python Module 01: Import Study part 1 00:07:00 Module 02: Import Study part 2 00:03:00 Unit 13: Import Operating System and Platform Module 01: Importing OS 00:06:00 Module 02: Import Platform 00:05:00 Unit 14: Exceptions handling in python Module 01: Exception in Python part 1 00:11:00 Module 02: Exception in Python part 2 00:07:00 Module 03: Exception in Python part 3 00:05:00 Unit 15: Installing Packages and Scheduling In Python Module 01: Installing Packages using built in package manager 00:08:00 Module 02: Scheduler in Python 00:05:00 Unit 16: Data Base In Python using sqlite Module 01: Data Base 1 00:08:00 Module 02: Data Base 2 00:09:00 Module 03: Data Base 3 00:08:00 Module 04: Data base 4 00:07:00 Module 05: Data Base 5 00:06:00 Unit 17: Running Program from Command Prompt and jupyter Notebook Module 01: IDE_1 00:05:00 Module 02: IDE_2 00:07:00 Unit 18: Conclusion Module 01: Conclusion 00:02:00 Resources Resources - Diploma in Python Programming 00:00:00 Recommended Materials Workbook - Diploma in Python Programming 00:00:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00
This Diploma in Python Programming at QLS Level 5 course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 150 CPD points) to make your skill development & career progression more accessible than ever! Are you looking to improve your current abilities or make a career move? If yes, our unique Python Programming at QLS Level 5 course might help you get there! It is an expertly designed course which ensures you learn everything about the topic thoroughly. Expand your expertise with high-quality training from the Python Programming at QLS Level 5 course. Due to Python Programming at QLS Level 5's massive demand in the competitive market, you can use our comprehensive course as a weapon to strengthen your knowledge and boost your career development. Learn Python Programming at QLS Level 5 from industry professionals and quickly equip yourself with the specific knowledge and skills you need to excel in your chosen career. The Python Programming at QLS Level 5 course is broken down into several in-depth modules to provide you with the most convenient and rich learning experience possible. Upon successful completion of the Python Programming at QLS Level 5 course, an instant e-certificate will be exhibited in your profile that you can order as proof of your skills and knowledge. Add these amazing new skills to your resume and boost your employability by simply enrolling in this Python Programming at QLS Level 5 course. This Python Programming at QLS Level 5 training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence! Why Prefer This Python Programming at QLS Level 5 Course? Opportunity to earn a certificate endorsed by the Quality Licence Scheme & another accredited by CPDQS which is completely free. Get a free student ID card! (£10 postal charge will be applicable for international delivery) Innovative and engaging content. Free assessments 24/7 tutor support. Take a step toward a brighter future! *** Course Curriculum *** Here is the curriculum breakdown of the Python Programming at QLS Level 5 course: Unit 01: Introduction to Python Programming Unit 02: Getting Started with Python Unit 03: Conditional Branching with Python Unit 04: Importing external/internal library in python Unit 05: Project Rock Paper and Scissors Unit 06: Strings Operation in Python Unit 07: Date and time in Python Unit 08: File Handling, read and write using Python Unit 09: Data Storage Structures, Tuple, List and Dictionary Unit 10: Writing user functions in Python Unit 11: Sending mail Unit 12: Import Tricks in Python Unit 13: Import Operating System and Platform Unit 14: Exceptions handling in python Unit 15: Installing Packages and Scheduling In Python Unit 16: Data Base In Python using sqlite Unit 17: Running Program from Command Prompt and jupyter Notebook Unit 18: Conclusion Assessment Process You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the Diploma in Python Programming at QLS Level 5 exams. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Python Programming at QLS Level 5 course is perfect for highly motivated people who want to improve their technical skills and prepare for the career they want! Requirements No prior background or expertise is required. Career path The Python Programming at QLS Level 5 course will boost your CV and aims to help you get the job or even the long-awaited promotion of your dreams. Certificates CPDQS Accredited Certificate Digital certificate - Included Diploma in Python Programming at QLS Level 5 Hard copy certificate - Included Show off Your New Skills with a Certificate of Completion After successfully completing the Diploma in Python Programming at QLS Level 5, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme and also you can order CPDQSAccredited Certificate that is recognised all over the UK and also internationally. The certificates will be home-delivered, completely free of cost.