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Level 3 Award in Education and Training | Previously PTLLS Level 3 Award in Education and Training - AET, previously PTLLS, is the mandatory minimum qualification if you want to be a FE teacher or trainer in your chosen field in the UK. If you are thinking about getting into teaching, this Level 3 Award in Education and Training (AET), previously known as the PTLLS course, is a great way to start. As a teacher, you can play a significant role in society and positively impact your students' lives. Currently, there is a huge demand for teaching jobs across the globe, and you know how satisfying it could be! So, if you aspire to be a changemaker, this is the ultimate course we can offer you. This course is designed so that both freshers and those working in an educational setting can get the benefit. Further, through this course, the current teachers can achieve formal recognition of their skills. Awarding Body The Level 3 Award in Education and Training course is accredited by TQUK. A certificate from this renowned awarding body will bring you out as a highly marketable candidate within the desired industry. There is Something More for You with This Level 3 Award in Education and Training | Previously PTLLS Course As a course provider, we highly value our learners' needs. That is why we are giving you some relevant courses for teaching and training for free to benefit you. With these courses, you can further enrich your knowledge and employability skills. Here are those - Diploma in Special Education Needs (SEN) EYFS Teaching Diploma Early Years Level 4 Primary Teaching Diploma Level 2 Diploma for the Early Years Practitioner Learning Outcomes of the Level 3 Award in Education and Training | Previously PTLLS Course By the end of this course, you will be able to: Identify and perform the roles of a teacher. Explain and apply the teaching and learning approaches. Plan a training session for your learners of different backgrounds. Describe the teachers' attributes and expectations. Prepare inclusive lessons and training sessions for your students. Analyse the role, responsibilities and relationships in education and training. Prepare and administer necessary assessments for your students. Why Choose Level 3 Award in Education and Training | Previously PTLLS from Us Self-paced course, access available from anywhere. Easy to understand, high-quality study materials. Dedicated tutor support during office hour (Monday to Friday) PTLLS Course developed by industry experts. 24/7 support via live chat, phone call or email. Free PDF certificate as soon as completing the Gift Courses. Special Note: Please be informed that apart from the initial fee, you have to pay GBP 169 when submitting assignments. Level 3 Award in Education and Training | Previously PTLLS Course Curriculum PTLLS : Module 01: Understanding Roles, Responsibilities and Relationships in Education and Training Understand the Teaching Role and Responsibilities in Education and Training Understand Ways to Maintain a Safe and Supportive Learning Environment Understand the Relationships between Teachers and Other Professionals in Education and Training PTLLS : Module 02: Understanding and Using Inclusive Teaching and Learning Approaches in Education and Training Understand Inclusive Teaching and Learning Approaches in Education and Training Understand Ways to Create an Inclusive Teaching and Learning Environment Be Able to Plan Inclusive Teaching and Learning Be Able to Deliver Inclusive Teaching and Learning Be Able to Evaluate the Delivery of Inclusive Teaching and Learning PTLLS : Module 03: Understanding Assessment Understand Types and Methods of Assessment Used in Education and Training Understand How to Involve Learners and Others in the Assessment Process Understand the Role and Use of Constructive Feedback in the Assessment Process Understand Requirements for Keeping Records of Assessment in Education and Training -------------------------------------------------------- ** [Free Courses] ** [Course 02 ] ** Level 2 Diploma for the Early Years Practitioner ** Module 1: Roles and Responsibilities of the Early Years Practitioner Module 2: Health and Safety of Babies and Young Children in the Early Years Module 3: Equality, Diversity and Inclusive Practice in Early Years Settings Module 4: Safeguarding, Protection and Welfare of Babies and Young Children in Early Years Settings Module 5: Understand How to Support Children's Development Module 6: Support Care Routines for Babies and Young Children Module 7: Support the Planning and Delivery of Activities, Purposeful Play Opportunities and Educational Programmes Module 8: Promote Play in an Early Years Setting Module 9: Support Well-being of Babies and Young Children for Healthy Lifestyles Module 10: Support Babies and Young Children to be Physically Active Module 11: Support the Needs of Babies and Young Children with Special Educational Needs and Disability Module 12: Promote Positive Behaviour in Early Years Settings Module 13: Partnership Working in the Early Years Module 14: Support Children's Transition to School [Course 03 ] ** Primary Teaching Diploma ** Module 01: Primary Education in the UK Module 02: Responsibilities, Qualifications and Skills Module 03: Initial Teacher Training Module 04: Types of Schools in the UK Module 05: Importance of Early Years in Development Module 06: EYFS Teaching Techniques Module 07: Teaching Primary English Module 08: Teaching Primary Mathematicsv Module 09: Teaching Primary Science, Design and Technology Module 10: Teaching Other Primary Subjects Module 11: Children Having Special Education Needs or Disabilities Module 12: EYFS Framework in 2021 Module 13: Self-Management and Dealing with Stress [Course 04] ** Early Years Level 4 ** Module 1: Supporting the Emotional and Physical Well-being of Children Module 2: Equality, Diversity and Professional Partnerships Module 3: Health and Safety Legislation Module 4: Observations, Assessments and Planning Module 5: Safeguarding Children Module 6: The Early Years Foundation Stage Module 7: Managing in a Nursery Environment Module 8: Engaging in Professional Development [Course 05 ] ** EYFS Teaching Diploma ** Module 1: An Overview of EYFS Module 2: Significance of Early Years in Development Module 3: Teaching Techniques Focusing EYFS Module 4: Curriculum for EYFS Teaching Module 5: EYFS Teaching Career Module 6: Fostering Learning and Development Module 7: Children Having Special Education Needs or Disabilities Module 8: Guiding Parents to the Early Years Foundation Stage Module 9: Safety Requirements Module 10: The EYFS Educational Philosophies and Privileges Module 11: The Process of Registration, Inspection, and Quality Improvement Module 12: EYFS Framework in 2021 Module 13: Finding Work as an EYFS Teacher [ Course 06 ] ** Diploma in Special Education Needs (SEN) ** Module 1: Introduction Module 2: A Quick Overview of the New SEND Code of Practice Module 3: Legislation Related to SEN Module 4: SEN Assessments and Descriptors Module 5: Education for Children with Disabilities Module 6: Common SEN Conditions Found Within Mainstream Schools Module 7: Assessment and Planning for Children with Special Educational Needs Module 8: The Broader Children's Workforce Associated with Special Education Needs Provisions Module 9: Working with Other Professionals and Other Sources of Support and Information ------------------------------------------------------- Level 3 Award in Education and Training | Previously PTLLS Qualification at a Glance Total Qualification Time (TQT - 120 Hours Guided Learning Hours (GLH) - 48 Hours Credit Value - 12 Minimum Age - 19 Purpose of the Level 3 Award in Education and Training | Previously PTLLS Qualification This Level 3 Award in Education and Training | Previously PTLLS qualification is designed to prepare learners for employment and support them to progress to a teaching role within the workplace. It has been developed for those intending to work in the post-16 education and training sector. What Skills You Will Gain from this Level 3 Award in Education and Training | Previously PTLLS Course You will gain the following marketable qualities through the Level 3 Award in Education and Training course. Different hiring managers are looking for these below-mentioned qualities. Become an expert in education and training. Learn about the teacher's role. Master the learning and teaching approaches. Increase your session planning skills. Gain knowledge in teacher expectations & attributions. Understand how to deliver inclusive sessions which engage and motivate learners. Explain roles, responsibilities, and relationships in education and training. Identify how to create assessments in education and training. Level 3 Award in Education and Training | Previously PTLLS Assessment Method In order to be eligible for the certification, you need to complete the following assessments. Three written assignments One microteaching session - 60 Minutes (Which can be submitted as a recorded video) Please note that you will be given precise instruction in the course material about writing the assignments and performing the micro-teach session. Moreover, if you face any difficulty, your tutor will be there to support you. You must submit all assignments via the online portal with full tutor support. Certification As soon as you submit your assignments and micro-teaching video, your tutor will assess those. Based on the assessor's evaluation, you will be graded either achieved/not achieved yet. If you are in the achieved category, you will receive an accredited certificate from the renowned awarding body TQUK. Progression If you achieve this Level 3 Award in Education and Training | Previously PTLLS qualification, you could progress to: Level 3 Award in Assessing Vocationally Related Achievement Level 3 Certificate in Assessing Vocational Achievement Level 3 Award in Assessing Competence in the Work Environment Level 4 Certificate in Education and Training Level 4 Certificate for the Advanced Practitioner in Schools and Colleges Level 4 Award for Technology Enabled Educators Level 5 Diploma in Education and Training Who is this course for? Wherever you work, this Level 3 Award in Education and Training | Previously PTLLS course is a must for you if you want to become a trainer. Besides, this course is also appropriate for the following. Teacher & Trainer Consultant Job Hunters & School Leavers College or University Students & Graduates Tutors & Instructors Headmasters Education Consultants Education Providers Office Clerk & Administration Assistant Educational Psychologist Lecturer or Classroom Assistant Requirements Level 3 Award in Education and Training There are no fixed entry requirements for attending the Level 3 Award in Education and Training course. However, you must be 19 years old or over upon certification. An interest in teaching adults and E-learning will be beneficial. Moreover, you must have basic ICT and time management skills. It will help you complete online written assignments. Since this is a Level 3 course, you must be ready to read through various texts, cross-reference, research theories or principles or practises of effective teaching. Finally, you need to demonstrate practical teaching skills via assessment work. Career path You can choose from a variety of professions either in teaching or training upon completion of the Level 3 Award in Education and Training | Previously PTLLS course. These include - Primary School Teacher Secondary School Teacher Further Education Teacher Private Tutor Freelance Trainer Trainer at Your Workplace

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

Supporting and engaging with different parts of the organisation and interact with internal or external customer.

Welcome to 'Python Programming for Non Programmers Level 5,' a course specially designed for those new to the world of coding. This program starts with a comprehensive introduction to Python, a versatile programming language favored in numerous fields. Progressing to the second unit, participants will familiarize themselves with the initial steps of Python programming, setting a strong foundation for future learning. The course then advances to conditional branching in Python, an essential skill for logical problem-solving in coding. A highlight of this course is the practical project: building the game 'Rock Paper Scissors'. This engaging task not only consolidates learning but also adds a fun element to the process. The curriculum further includes critical topics like string operations, date and time functionalities, and the nuances of file handling in Python. Learners will navigate through the complexities of Python data structures-tuples, lists, and dictionaries-and learn to craft user functions, enhancing their coding capabilities. The course also covers email automation, ingenious import tactics, interfacing with operating systems, and handling exceptions with finesse. Furthermore, learners will get hands-on experience with package installation, scheduling tasks in Python, and managing databases using SQLite. The course wraps up with insights on running Python programs via command prompt and Jupyter Notebook, ensuring learners are well-equipped for real-world applications. Learning Outcomes Acquire foundational knowledge and setup skills in Python programming. Master conditional branching for effective problem-solving in code. Complete a practical coding project to solidify Python skills. Learn essential Python operations, including string handling and file management. Explore and apply advanced Python concepts for real-world applications. Why choose this Python Programming for Non Programmers Level 5 course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Python Programming for Non Programmers Level 5 course for? Beginners eager to learn Python from scratch. Non-technical professionals desiring to add coding skills to their portfolio. Educators keen to integrate Python into their teaching methodologies. Businesspersons interested in understanding coding fundamentals for tech-based solutions. Enthusiasts exploring programming as a new hobby or career path. Career path Entry-Level Python Programmer: £25,000 - £40,000 Python-Enabled Data Analyst: £28,000 - £45,000 Python Automation Engineer: £30,000 - £50,000 Technical Support Analyst with Python Skills: £22,000 - £35,000 Python Web Developer: £26,000 - £42,000 Quality Assurance Analyst with Python Expertise: £24,000 - £38,000 Prerequisites This Python Programming for Non Programmers Level 5 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Python Programming for Non Programmers Level 5 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Unit 01: Introduction to Python Programming Section 01: Course Introduction 00:02:00 Unit 02: Getting Started with Python Section 01: Software Installation 00:02:00 Section 02: Hello World Program 00:06:00 Section 03: Input and Output 00:07:00 Section 04: Calculating Average of 5 Numbers 00:03:00 Unit 03: Conditional Branching with Python Section 01: If Loop In Python 00:06:00 Section 02: Program Using If Else part 1 00:03:00 Section 03: Program Using If Else part 2 00:08:00 Section 04: Program for Calculator 00:02:00 Section 05: Program Using For Loop 00:08:00 Section 06: For Table 00:05:00 Section 07: For loop and Mathematical Operator in Python 00:04:00 Section 08: Factorial of Number Using Python 00:06:00 Section 09: Program Using While 00:05:00 Section 10: While Loop Example 00:07:00 Section 11: Tasks for Practice 00:02:00 Unit 04: Importing external/internal library in python Section 01: Importing Library in Python 00:07:00 Unit 05: Project Rock Paper and Scissors Section 01: Rock Paper and Scissor Game 00:06:00 Unit 06: Strings Operation in Python Section 01: Program Using String part 1 00:05:00 Section 02: Program using String 2 00:06:00 Section 03: Program Using String 3 00:06:00 Section 04: Program Using String part 4 00:03:00 Unit 07: Date and time in Python Section 01: Use of Date and Time part 1 00:05:00 Section 02: Use of Date and Time part 2 00:05:00 Unit 08: File Handling, read and write using Python Section 01: File Handling Part 1 00:08:00 Section 02: File Handling Part 2 00:07:00 Unit 09: Data Storage Structures, Tuple, List and Dictionary Section 01: Tuple in Python Part 1 00:10:00 Section 02: Tuple in Python Part 2 00:07:00 Section 03: Using Lists part 1 00:07:00 Section 04: Using List part 2 00:12:00 Section 05: Using Lists part 3 00:06:00 Section 06: Using Lists part 4 00:08:00 Section 07: Using Lists part 5 00:02:00 Section 08: Use of Dictionary Part 1 00:04:00 Section 09: Use of Dictionary Part 2 00:05:00 Section 10: Use of Dictionary Part 3 00:08:00 Section 11: Use of Dictionary Part 4 00:07:00 Unit 10: Writing user functions in Python Section 01: Function in Python Part 1 00:06:00 Section 02: Function in Python Part 2 00:05:00 Section 03: Function in Python Part 3 00:04:00 Section 04: Function in Python Part 4 00:07:00 Section 05: Function in Python Part 5 00:08:00 Unit 11: Sending mail Section 01: Send Email 00:09:00 Unit 12: Import Tricks in Python Section 01: Import Study part 1 00:07:00 Section 02: Import Study part 2 00:03:00 Unit 13: Import Operating System and Platform Section 01: Importing OS 00:06:00 Section 02: Import Platform 00:05:00 Unit 14: Exceptions handling in python Section 01: Exception in Python part 1 00:11:00 Section 02: Exception in Python part 2 00:07:00 Section 03: Exception in Python part 3 00:05:00 Unit 15: Installing Packages and Scheduling In Python Section 01: Installing Packages using built in package manager 00:08:00 Section 02: Scheduler in Python 00:05:00 Unit 16: Data Base In Python using sqlite Section 01: Data Base 1 00:08:00 Section 02: Data Base 2 00:09:00 Section 03: Data Base 3 00:08:00 Section 04: Data base 4 00:07:00 Section 05: Data Base 5 00:06:00 Unit 17: Running Program from Command Prompt and jupyter Notebook Section 01: IDE_1 00:05:00 Section 02: IDE_2 00:07:00 Unit 18: Conclusion Section 01: Conclusion 00:02:00 Resources Resources - Diploma in Python Programming 00:00:00 Assignment Assignment - Diploma in Python Programming 00:00:00 Recommended Materials Workbook - Diploma in Python Programming 00:00:00

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Internet of Things (IoT) Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Internet of Things (IoT) Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Internet of Things (IoT) Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Internet of Things (IoT) Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Internet of Things (IoT)? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Internet of Things (IoT) 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 will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Internet of Things (IoT) course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Internet of Things (IoT) does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Internet of Things (IoT) was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Internet of Things (IoT) is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Agenda Module 01: Introduction 00:02:00 Module 02: Course Agenda 00:03:00 Unit 01: Introduction Module 01: Introduction to Internet of Things 00:13:00 Module 02: Choosing Cloud Services for IoT 00:05:00 Module 03: What is Raspberry Pi Part 1? 00:09:00 Module 04: What is Raspberry Pi Part 2? 00:06:00 Unit 02: Raspberry Pi Installation Module 01: Downloading OS for Raspberry Pi Noobs-Raspbian 00:07:00 Module 02: Install OS using NOOBS 00:11:00 Module 03: Remote Control of Raspberry Pi Using VNC Viewer 00:10:00 Module 04: Install OS using Raspbian Image part 1 00:06:00 Module 05: Install OS using Raspbian Image part 2 00:02:00 Unit 03: Getting Around Raspberry Pi Module 01: Getting Around Raspbian Operating System part 1 00:10:00 Module 02: Getting around Raspbian Operating System part 2 00:08:00 Module 03: Getting around Raspbian Operating System part 3 00:06:00 Module 04: How To Run Python program On Raspberry Pi 00:09:00 Unit 04: Raspberry Pi GPIO Output Module 01: Raspberry PI GPIO Concepts 00:07:00 Module 02: Raspberry Pi GPIO Interfacing Single LED 00:17:00 Module 03: Raspberry Pi GPIO Interfacing Multiple LED's 00:09:00 Module 04: Rapberry Pi GPIO Interfacing Buzzer 00:03:00 Unit 05: Output from Raspberry Pi Module 01: Raspberry Pi and Transistorized Switching 00:09:00 Module 02: Raspberry Pi and Relay part 1 00:13:00 Module 03: Raspberry Pi and Relay part 2 00:08:00 Unit 06: Inputs to Raspberry Pi Module 01: Accepting Digital Input on Raspberry Pi Part 1 00:13:00 Module 02: Accepting Digital Inputs on Raspberry Pi Part 2 00:07:00 Unit 07: Sensor Interfacing Module 01: Sensor Interfacing With Raspberry Pi LDR1 00:05:00 Module 02: Sensor Interfacing With Raspberry Pi LDR 2 00:10:00 Module 03: Sensor Interfacing With Raspberry Pi LDR 3 00:07:00 Module 04: Sensor Interfacing with Rapberry Pi DHTT11 part 1 00:10:00 Module 05: Sensor Interfacing with Rapberry Pi DHTT11 part 2 00:10:00 Module 06: Sensor Interfacing with Raspberry pi Using SenseHAT 00:11:00 Module 07: Ultrasonic Sensor Interfacing with Raspberry Pi 00:14:00 Unit 08: Interfacing of I2C Based BMP180 Sensor with Raspberry Pi Module 01: BMP180 with Raspberry Pi 00:07:00 Module 02: Enabling I2C on Raspberry Pi 00:05:00 Module 03: BMP180 Python Code 00:06:00 Unit 09: Internet of Things with Microsoft Azure Module 01: Getting Started With IoT 00:11:00 Module 02: Getting Started with Microsoft Azure IoT Hub Part 1 00:04:00 Module 03: Getting Started with Microsoft Azure IoT Hub Part 2 00:05:00 Module 04: Getting Started with Microsoft Azure IoT Hub Part 3 00:09:00 Module 05: Create Device inside Azure IoT Hub 00:06:00 Module 06: Enable Azure Cloud Shell and enable IoT Extension 00:08:00 Module 07: Send Data to Azure IoT Hub Using Python Program 00:09:00 Module 08: Send Actual Temperature and Humidity Values to Azure IoT hub 00:03:00 Module 09: Storing the Data on Microsoft Azure Using Custom Gateway 00:13:00 Module 10: Save data to blob storage using Stream Analytics Job 00:12:00 Module 11: Data Visualization with Power BI Part 1 00:07:00 Module 12: Data Visualization with Power BI Part 2 00:12:00 Module 13: Creating Custom web app with azure for data visualization Part 1 00:10:00 Module 14: Creating Custom web app with azure for data visualization Part 2 00:14:00 Module 15: Creating Custom web app with azure for data visualization Part 3 00:12:00 Module 16: Dealing with password error while pushing your webapp to azure 00:01:00 Module 17: Cleaning up Azure Resources 00:02:00 Module 18: Remote Monitoring using Azure Logic App Part 1 00:12:00 Module 19: Remote Monitoring using Azure Logic App Part 2 00:10:00 Unit 10: IoT with Thingspeak Module 01: Introduction to Thingspeak 00:06:00 Module 02: Create an account and send data to Thingspeak 00:08:00 Unit 11: Learn a new platform, Adafruit IO Module 01: Getting started with SaaS IoT Platform io.adafruit.com 00:08:00 Module 02: What is MQTT? 00:10:00 Module 03: Sending Data to Adafruit Io Using MQTT Part 1 00:17:00 Module 04: Sending Data to Adafruit io Using MQTT part 2 00:14:00 Module 05: Home automation project with adafruit IO Part 1 00:15:00 Module 06: Home Automation Project with Adafruit IO Part 2 00:02:00 Unit 12: IOT Security Module 01: IoT Security 00:14:00 Module 02: Conclusion 00:01:00 Assignment Assignment - Internet of Things (IoT) 00:00:00

Duration 5 Days 30 CPD hours Overview Ensure a smooth, rapid implementation of PeopleSoft Time and Labor. Better understand how to facilitate the management, planning, reporting and approving of time, and calendar and schedule creation and usage. Set Up System and Time and Labor Tables Learn about and set up the tables that support your Time and Labor system. Identify how to track employee time by period and define workgroups and task groups to group time reporters into useful segments for processing. Manage Time Reporting Enroll time reporters into Time and Labor, and assign them to work schedules. Report time using different tools. Process reported time using the rules you defined to match your business processes. This PeopleSoft Time and Labor - North America Rel. 9.2 training will show you how to implement the PeopleSoft Time and Labor product encompassing features and functionality , and develop a solid foundation of knowledge that allows you to enroll time reporters into Time and Labor, assign them to work schedules, and report and process reported time. Setting Up PeopleSoft Human Resources, Payroll, and Benefits Tables Indentifying Prerequisite Human Resources, Benefits, and Payroll Tables Defining Prerequisite Tables Defining Holiday Schedules Defining Earnings Codes and Programs Defining Pay Groups and Pay Calendars Setting Up Basic PeopleSoft Time and Labor Tables Setting Up Time Zone Offsets Setting Up the Time and Labor Installation Table Setting Up Manager Time Calendar View Options Selecting the Labor Distriution and Labor Dilution Options Establishing Time Reporting Codes Describing Time Reporting Codes (TRC) Defining Time Reporting Code Categories Establishing Time Reporting Codes Defining TRC Programs Defning Compensatory Time Plans Establishing Time Periods Describing Time Periods Establishing Time Periods Establishing Planned Overtime Describing Planned Overtime Features Establishing Planned Overtime Creating Workgroups Describing Key Workgroup Concepts Creating Workgroups Defining Template Built Rules Identifying Online Rule Definition Tools Identifying Steps to Define Rules Defining Template Built Rules Defining Rule Programs Exporting and Importing Rules Describing Rule Template Creation Creating Task Groups Identifying Task Functinlaity Concepts Creating Task Templates Creating Task Profiles Creating Taskgroups Describing Task Profile Reporting Precedence Building Schedules Identifying Scheduling Concepts Describing Scheduling Integrations Identifying the Steps to Create a Schedule Setting Up Schedules Validating Schedules Setting Up Time Reporters Creating Time Reporter Data Maintaining Time Reporter Data Assigning Time Reporters to a Schedule Assigning and Viewing Compensatory Time Off Plans Setting Up Groups and Security Describing PeopleSoft Time and Labor Groups and Security Setting Up Group Creating Security Setting Up Dynamic Groups Setting Up Static Groups Viewing Time Reporters in Groups Setting Up Group Security Reporting Time Using Rapid Entry Describing Time Reporting Establishing Rapid Time Templates Performing Rapid Entry Running the Time Administration Process Describing the Time Administration Process Describing Time Reporter and Payable Time Status Reporting Time Using Self-Service Identifying Time Reporting Defining Time Reoprting Templates Defining User Preferences Reporting Time Using Timesheets Reporting Time Using the Web Clock Identifying Mass Time Reporting Requesting Overtime Requesting Absence Managing Exceptions Defining Exceptions Managing Exceptions Using Fluid and Workforce Availability Setting Up the Time and Labor Mobile Applications Entering Time Reporting as an Employee Managing Time Administration as a Manager Setting Up Workforce Availability Viewing Workforce Availability for Daily and Weekly Time Integrating with PeopleSoft Payroll for North America Integrating with Absence Management Preparing for a Payrun Running the Time and Labor Load Process Setting Up and Using Auto Enrollment Setting Up Auto Enrollment Defining Auto Enrollment Groups Previewing the Enrollment Data Performing Labor Distribution and Dilution Identifying Labor Distribution and Dilution Sending Costs to Time and Labor Viewing Distributed and Diluted Costs Auditing and Adjusting Payable Time Identifying the Stages of Payable Time Adjusting Paid Time Viewing Unprocessed Reported Time Viewing Unprocessed PayableTime Locking Timesheets Performing Labor Distribution and Dilution Identifying Labor Distribution and Dilution Sending Costs to Time and Labor Viewing Distributed and Diluted Costs Auditing and Adjusting Payable Time Identifying the Stages of Payable Time Adjusting Paid Time Viewing Unprocessed Reported Time Viewing Unprocessed PayableTime Locking Timesheets Additional course details: Nexus Humans Oracle PeopleSoft Time and Labor - North America Rel. 9.2 training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. 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. While we feel this is the best course for the Oracle PeopleSoft Time and Labor - North America Rel. 9.2 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. 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.

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Enrol on the now and start learning instantly! What You Get With The Typography for Designers course 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 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. 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 Typography for Designers course, 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 Introduction to Typography 1.2.Intro to typography course 00:05:00 1.3. how typography cousre is laid out 00:02:00 1.4.What are Font Families 00:05:00 1.5.typography-antomy-terms 00:07:00 1.6.Humanist Old and Transitional 00:07:00 1.7.Sans-Serif Script Other Sans 00:06:00 1.8. Line-length in Typography 00:03:00 1.9.Alignments of your text 00:05:00 1.10.Line-height matters 00:07:00 1.11.Letter Spacing kerning 00:05:00 1.12.exercise to apply all we learned 00:11:00 More about Typography 2.1.Different Types of Hyphens & Dashes 00:02:00 2.2. About Quotation Marks 00:03:00 Typography Scales and Grids 3.1.1Expanding Scales-NEW 00:07:00 3.1.Roles Of Typefaces-1 00:05:00 3.2.Typography Scale-1 00:03:00 3.3Type Hierarchy Online Tools 00:05:00 3.4.How Many Levels Of Hierarchy-update 00:03:00 3.5.Vertical Rhythm-updated 00:05:00 3.6.Vertical Rhythm In Photoshop 00:07:00 3.7.exercise Vertical Rhythm-1 00:12:00 3.8.modular Grid 00:11:00 EXERCISES: Modular + Baseline Grid Design Ultimate Exericse 4.1.prepare Modular Grid For Design Exericse 00:11:00 4.2.Modular Design part 1 00:16:00 4.3.Modular design 2nd 00:10:00 4.4.Modular Design Refining the design 00:03:00 4.5.Modulr Design 3rd Layout 00:10:00 How to Select Fonts? 5.1.how Many Fonts 00:05:00 5.2.Moods Voices Of Typefaces- 00:13:00 5.3.colors Efffect On Typo 00:04:00 How to Pair Fonts? 6.1.Font Pairing Intro-Updated 00:04:00 6.2.X-height Matching 00:05:00 6.3.Contrast Matching 00:10:00 6.4.Look For Similar Features 00:10:00 6.5.Avoid Too Similarity 00:04:00 6.6.Pairing Fonts Same Family Designer 00:05:00 6.7.Online Tools Font Pairing 00:06:00 How to get Variation in text for Great Designs 7.1.variation with bold italic 00:04:00 7.2.variation with colors 00:03:00 7.3.Variation with Reverse-colors updated- 00:03:00 7.4.variation with lineheight 00:04:00 EXERCISES: Dribbble LEVEL Designs 8.1. Dribbble Hero Design preperation 00:05:00 8.2.dribbble Hero Design V1 Part 1 00:16:00 8.3.dribbble Hero Design V1 Part 2 00:16:00 8.4. Dribbble Hero Variation Intro 00:04:00 8.5. Dribbble Hero Variation 2 Part 1 00:08:00 8.6. Dribbble Hero Variation 2 Part2 00:06:00 Exercise: Social Media Ad Design with 3 different fonts 9.1.summer Discount Ad DesignPreperations 00:04:00 9.2 Preparing base of design 00:07:00 9.3. Adding Text and styles 00:14:00 9.4.final Adjustments 00:03:00 Nature Health Themed Typography Exercises 10.1.juicy Design Exercise Preperations-1 00:03:00 10.2.making Of Juicy Design-2 00:16:00 10.3.juicy Designs Final-3 00:12:00 Typography for Iphone and Android App Designs (Mobile App Typography) 11.1 Intro IOS point sizing 00:05:00 11.2.IOS Font Specs 00:03:00 11.3.Designing multiple IOS Screens 00:14:00 11.4. Student Question About Resoltutions 00:14:00 11.5.connect Your Iphone With Photoshop 00:05:00 11.6. Android Typography 00:04:00 11.7.android Design Exercise For All Sizes 00:09:00 Typography for Web Developers 12.1.Using Google Fonts 00:04:00 12.2.using Premium Fonts 00:06:00 12.3.Intro to css font sizigin 00:03:00 12.4.what Is Em Font Size 00:08:00 12.5.What is rem font size 00:05:00 12.6.How percentage font size works 00:04:00 12.7.How vw font unit works 00:04:00 Responsive Typography for Developers 13.1.how Vertical Rhythm Works In CSS 00:08:00 13.2.Gridlover Exercise 00:08:00 13.3.custom Typographic Scale Boostrap-3 00:13:00 13.4.dont Use Code From Typescale 00:02:00 New and Latest in Typography 14.1.responsive Typography Intro 00:07:00 14.2.different Ratios And Scales In Responsive Typography 00:10:00 14.3.percentage Value Technique For Responsive Type 00:12:00 15.1 Color Fonts 00:05:00 15.2 variable-fonts101 00:08:00 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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Why buy this Learn MySQL from Scratch for Data Science and Analytics?  Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Learn MySQL from Scratch for Data Science and Analytics you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Learn MySQL from Scratch for Data Science and Analytics course is ideal for Aspiring Data Scientists and Analysts. Database Administrators and Developers. Students and professionals seeking to enter the field of Data Science. Anyone looking to enhance their SQL and MySQL skills for data-related roles. Prerequisites This Learn MySQL from Scratch for Data Science and Analytics was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Analyst: £25,000 - £50,000 per year. Database Administrator: £30,000 - £60,000 per year. SQL Developer: £30,000 - £60,000 per year. Data Scientist: £40,000 - £80,000 per year. Business Intelligence Analyst: £35,000 - £65,000 per year. Course Curriculum Learn MySQL from Scratch for Data Science and Analytics Section 01: Getting Started Introduction 00:02:00 How to get course requirements 00:01:00 Getting started on Windows, Linux or Mac 00:01:00 How to ask great questions 00:01:00 FAQ's 00:01:00 What is Source Code? 00:09:00 Section 02: SQL Server setting up Section Introduction 00:01:00 MySQL Server Installation 00:14:00 Connect MySQL Server Instance 00:06:00 MySQL Workbench overview 00:11:00 Download and Restore Sample Database 00:08:00 Section 03: SQL Database basics Section Introduction 00:01:00 Overview of Databases 00:09:00 Creating Database 00:07:00 SQL Data Types 00:04:00 Column Data Types on Workbench 00:07:00 Creating Table 00:04:00 Overview of Primary and Foreign Key 00:03:00 Primary Key 00:06:00 Foreign Key 00:12:00 Creating Temporary tables 00:12:00 EER - Enhanced Entity Relationship Diagrams 00:04:00 Section 04: SQL DML (Data Manipulation Language) Section Introduction 00:01:00 Insert statement 00:07:00 Update statement 00:06:00 Delete statement 00:03:00 Section 05: SQL DDL (Data Definition Language) Section Introduction 00:01:00 CREATE table statement 00:08:00 DROP statement 00:03:00 ALTER statement 00:05:00 TRUNCATE statement 00:03:00 COMMENT in query 00:02:00 RENAME table 00:03:00 Section 06: SQL DCL (Data Control Language) Create Database user 00:03:00 GRANT permissions 00:06:00 REVOKE permissions 00:04:00 Section 07: SQL Statement Basic Section Introduction 00:01:00 SQL Statement basic 00:03:00 SELECT Statement 00:03:00 SELECT DISTINCT 00:02:00 SELECT with column headings 00:01:00 Column AS statement 00:02:00 DASHBOARD Analytics 00:06:00 Section 08: Filtering Data rows SELECT WHERE Clause - theory 00:03:00 SELECT WHERE Clause - practical 00:06:00 Section 09: Aggregate functions for Data Analysis Sum() 00:06:00 Min()-Max() 00:03:00 Section 10: SQL Data Analyticstatements Order By statement 00:05:00 SELECT TOP 3 records 00:02:00 BETWEEN command 00:06:00 IN operator 00:03:00 Search Data usingLIKE cards 00:05:00 Section 11: SQL Group by statement Section Introduction 00:01:00 Group by - theory 00:04:00 Data Analytics with Group By 00:04:00 HAVING statement 00:03:00 Section 12: JOINS Overview of Joins 00:02:00 What are Joins 00:02:00 Inner join 00:07:00 Left outer join 00:02:00 Right outer join 00:02:00 Union 00:03:00 CERTESIAN Product or Cross Join 00:03:00 Query Exercise 00:01:00 Solution for Query Exercise 00:01:00 Section 13: SQL Constraints Section introduction 00:01:00 Check constraint 00:09:00 NOT NULL constraint 00:03:00 UNIQUE constraint 00:06:00 Section 14: Views Creating Views 00:03:00 Data Analytic Views from multiple tables 00:03:00 Section 15: Advanced SQL Functions Section Introduction 00:01:00 Timestamp 00:03:00 Extract from timestamp 00:03:00 Mathematical scalar functions 00:03:00 String functions3 00:07:00 Advanced functions 00:04:00 Sub Queries 00:03:00 SELECT with calculations 00:05:00 Section 16: SQL Stored procedures Create stored procedure 00:06:00 Stored procedure with parameter 00:03:00 Drop Procedure 00:01:00 Section 17: Import & Export data Section Introduction 00:01:00 Import .csv file 00:04:00 Export Data to .csv file 00:02:00 Section 18: Backup and Restore Database Section Introduction 00:01:00 Creating Database backup 00:02:00 Restoring Database backup 00:02:00

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