1140 Courses

This course will help you prepare for the AI-900 Exam: Microsoft Azure AI Fundamentals. We will cover the complete exam syllabus as updated in April 2021 with sample questions.

[Updated 2024] To provide significant commercial value, you create and construct data models that make data simple to grasp. Take the training you need to gain the abilities and information required to make a successful career as a data analyst. Through the use of visualisation and reporting technologies, a data analyst enables businesses to maximise the value of their data assets. Additionally, data analysts are in charge of profiling, cleansing, and transforming data. Additionally, they are responsible for establishing and constructing efficient data models, enabling and integrating advanced analytics capabilities into reports for analysis. From this data analyst course, you will learn to transform raw data into important and insightful insights after working with the relevant stakeholders to establish appropriate and essential data and reporting requirements. The training materials of this Data Analyst (Data Analytics) course are available online for you to learn at your own pace and fast-track your career with ease. Key Features Accredited by CPD Instant e-certificate Fully online, interactive Data Analyst (Data Analytics) course with audio voiceover Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Curriculum of Data Analyst (Data Analytics) Course Module 01: Introduction Module 02: Agenda and Principles of Process Management Module 03: The Voice of the Process Module 04: Working as One Team for Improvement Module 05: Exercise: The Voice of the Customer Module 06: Tools for Data Analysis Module 07: The Pareto Chart Module 08: The Histogram Module 09: The Run Chart Module 10: Exercise: Presenting Performance Data Module 11: Understanding Variation Module 12: The Control Chart Module 13: Control Chart Example Module 14: Control Chart Special Cases Module 15: Interpreting the Control Chart Module 16: Control Chart Exercise Module 17: Strategies to Deal with Variation Module 18: Using Data to Drive Improvement Module 19: A Structure for Performance Measurement Module 20: Data Analysis Exercise Module 21: Course Project Module 22: Test your Understanding Accreditation All of our courses are fully accredited, including this Data Analyst (Data Analytics) course, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certification Once you've successfully completed your Data Analyst (Data Analytics) course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is ideal for all employees or anyone who genuinely wishes to learn more about Data Analyst (Data Analytics) basics, including: Data scientist Machine learning engineer Data analytics consultant. Data analytics manager Financial analyst Marketing analyst Systems analyst Requirements No prior degree or experience is required to enrol in this course. Certificates Hard copy certificate Hard copy certificate - Included You will get the hard copy certificates for Free! The delivery charge of the hard copy certificate inside the UK is £3.99 each. Digital certificate Digital certificate - Included

Data Analyst (Data Analytics) - CPD Certified Have you ever wondered how companies get insights from massive volumes of data to stay competitive and make wise decisions? If so, then participate in our exclusive Data Analytics Course. This Data Analytics Course describes the fundamentals of data, statistics, and an introduction to data analytics. How to get data and where to find it is explained in the Data Analytics Course. Moreover, this Data Analytics Course covers data cleansing, preprocessing, and exploratory data analysis (EDA). Additionally, the Data Analytics Course provides an introduction to Python and Excel for data analytics. This thorough Data Analytics Course includes lessons on data wrangling with Pandas (python) and data visualisation using Matplotlib and Seaborn (python). Enrol in our Data Analytics Course to study the fundamentals of statistical analysis and machine learning. Special Offers of this Data Analyst (Data Analytics) Course Data Analyst (Data Analytics) Course includes a FREE PDF Certificate. Lifetime access to this Data Analyst (Data Analytics) Course Instant access to this Data Analyst (Data Analytics) Course Get FREE Tutor Support from Monday to Friday in this Data Analyst (Data Analytics) Course Courses are included in this Data Analyst (Data Analytics) Course Course 01: Cyber Security Course 02: GDPR Course 03: Business Administration [ Note: Free PDF certificate as soon as completing the Data Analyst (Data Analytics) Course] Course Curriculum of Data Analyst (Data Analytics) - CPD Certified Module 1: Introduction to Data Analytics Module 2: Basics of Data and Statistics Module 3: Data Collection and Sources Module 4: Data Cleaning and Preprocessing Module 5: Exploratory Data Analysis (EDA) Module 6: Introduction to Excel for Data Analytics Module 7: Introduction to Python for Data Analytics Module 8: Data Wrangling with Pandas (Python) Module 9: Data visualisation with Matplotlib and Seaborn (Python) Module 10: Introduction to Basic Statistical Analysis Module 11: Introduction to Machine Learning Module 12: Capstone Project - Exploratory Data Analysis Assessment Method After completing each module of the Data Analyst (Data Analytics) Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Certification After completing the MCQ/Assignment assessment for this Data Analyst (Data Analytics) course, you will be entitled to a Certificate of Completion from Training Tale. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? Data Analyst (Data Analytics) - CPD Certified For business professionals, entrepreneurs, or anybody else looking to have a thorough grasp of data analysis in a commercial setting, this Data Analytics Course is ideal. Requirements There are no specific requirements for Data Analyst (Data Analytics) Course because it does not require any advanced knowledge or skills. Career path Data Analyst (Data Analytics) - CPD Certified This Data Analytics Course will assist you in obtaining positions as a business analyst, marketing analyst, data analyst, and in related fields. Certificates Certificate of completion Digital certificate - Included

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Overview This comprehensive course on Statistics Essentials will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Statistics Essentials comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Statistics Essentials. It is available to all students, of all academic backgrounds. Requirements Our Statistics Essentials is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 11 sections • 11 lectures • 02:19:00 total length •Introduction to Statistics: 00:18:00 •Measuring Central Tendency: 00:18:00 •Measures of Dispersion: 00:11:00 •Correlation and Regression Analysis: 00:14:00 •Probability: 00:16:00 •Sampling: 00:19:00 •Charts and Graphs: 00:21:00 •Hypothesis Testing: 00:10:00 •Ten Common Statistical Mistakes: 00:12:00 •Assignment - Statistics Essentials: 00:00:00 •Order Your Certificate: 00:00:00

Join our Supervisor Training course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Supervisor Training course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Supervisor Training course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! You will Learn The Following Things: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Supervisor Training. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-to-one support from a dedicated tutor throughout your course. Study online - whenever and wherever you want. Instant Digital/ PDF certificate 100% money back guarantee 12 months access Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement After completing the Supervisor Training course, you will receive your CPD-accredited Digital/PDF Certificate for £5.99. To get the hardcopy certificate for £12.99, you must also pay the shipping charge of just £3.99 (UK) and £10.99 (International). Who Is This Course for? This Supervisor Training is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Supervisor Training course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Supervisor Training Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Module 01 - Fundamentals of Supervisor Training Fundamentals of Supervisor Training 00:26:00 Module 02 - Understanding the Role of Supervision Understanding the Role of Supervision 00:25:00 Module 03 - Essential Skills in Supervision Essential Skills in Supervision 00:30:00 Module 04 - Recruitment and Dismissal Recruitment and Dismissal 00:38:00 Module 05 - Employee Management Employee Management 00:23:00 Module 06 - Communication Skill Development Communication Skill Development 00:23:00 Module 07 - Interactive Training for New Supervisors Interactive Training for New Supervisors 00:32:00 Module 08 - Conflict Management Conflict Management 00:27:00 Module 09 - Cybersecurity for Employees Cybersecurity for Employees 00:28:00 Assignment Assignment - Supervisor Training 00:00:00

This course covers all aspects of hosting big data on the Amazon Web Services (AWS) platform, and will prepare you to confidently perform distributed processing.

Looking to build an AI application from scratch? Look no further than this compact course with ChatGPT! Using the OpenAI API and the latest web development technologies, including React, Next.js, JavaScript, Node, and CSS, you will gain hands-on experience building an AI-powered application that generates pet names for users.

This course primarily focuses on explaining the concepts of Python and PySpark. It will help you enhance your data analysis skills using structured Spark DataFrames APIs.

Overview Python Programming has become a cornerstone in the global and UK job markets, offering a plethora of opportunities across various sectors. As businesses and industries increasingly rely on data analysis, web development, and automation, the demand for skilled Python programmers continues to surge. This course is meticulously designed to equip learners with a comprehensive understanding of Python Programming from beginner to expert levels. Through a structured curriculum, participants will delve into the essentials of Python, explore its advanced functionalities, and gain insights into leveraging Python for real-world applications, positioning themselves as valuable assets in the job market. This Python Programming course provides a solid foundation in understanding the core aspects of Python, from basic syntax and data types to advanced object-oriented programming (OOP) concepts. Learners will navigate through the intricacies of Python operators, control flow mechanisms, functions, and error handling to ensure robust code development. Additionally, the course covers essential libraries like NumPy and Pandas, crucial for data manipulation and analysis. By the end of this course, participants will be well-versed in Python scripting, understand the practical applications of Python in various domains, and be equipped to start a successful career in Python Programming. Learning Outcomes Gain a comprehensive understanding of Python Programming fundamentals and advanced concepts. Master data manipulation and analysis using Python libraries such as NumPy and Pandas. Develop proficiency in error handling, functions, and advanced Python features like decorators and generators. Understand the principles of object-oriented programming (OOP) and how to apply them in Python. Acquire the skills to transition from theoretical knowledge to applying Python in real-world scenarios. Prepare for a successful career in Python Programming by understanding the job market, resume building, and freelancing opportunities. Description This Python Programming course starts with an introduction to Python, covering everything from the basics to advanced topics. Learners will first get familiar with the Python environment, including installation and the use of tools like Anaconda and Jupyter Notebooks. The course then progresses to fundamental concepts such as variables, data types, and control flow, before diving into Python's powerful operators and data structures. By exploring modules on advanced data types, control flow, and Python functions, participants will build a solid coding foundation. The curriculum further delves into error handling and user input, ensuring that students can write robust and user-friendly programs. Advanced modules introduce learners to Python's scripting capabilities, the use of libraries, and the transition from Jupyter Notebooks to more sophisticated development environments like VSCode. With a focus on practical applications, the course also covers data analysis with NumPy and Pandas, introduces the basics of object-oriented programming, and ends with insights into starting a career in Python Programming, including freelancing and personal branding strategies. Why Choose Us? This course is accredited by the CPD Quality Standards. Lifetime access to the whole collection of the learning materials. Online test with immediate results. Enroling in the course has no additional cost. You can study and complete the course at your own pace. Study for the course using any internet-connected device, such as a computer, tablet, or mobile device. Certificate of Achievement Upon successful completion, you will qualify for the UK and internationally-recognised CPD certificate and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £4.99 and Hardcopy Certificate for £9.99. Who Is This Course For? Individuals seeking to start a career in Python Programming without prior programming experience. Professionals aiming to transition into data analysis, web development, or automation using Python. Students and researchers looking to enhance their data manipulation and analytical skills. Freelancers wanting to expand their service offerings in software development or data science. Career changers interested in exploring the vast opportunities within the tech industry through Python. Hobbyists and tech enthusiasts eager to understand Python Programming and its real-world applications. Requirements The Python Programming: Beginner To Expert course requires no prior degree or experience. All you require is English proficiency, numeracy literacy and a gadget with stable internet connection. Learn and train for a prosperous career in the thriving and fast-growing industry of Python Programming: Beginner To Expert, without any fuss. Career Path Python Developer Data Analyst Web Developer Software Engineer Data Scientist Automation Engineer Freelance Python Programmer Order Your Certificate To order CPD Quality Standard Certificate, we kindly invite you to visit the following link: Course Curriculum Module 01: Introduction to Python Programming from A-Z Intro To Python Section Overview 00:05:00 What is Python Programming 00:09:00 Who is This Course For 00:05:00 Python Programming Marketplace 00:00:00 Python Job Opportunities 00:05:00 How To Land a Python Job Without a Degree 00:08:00 Python Programmer Job Roles 00:09:00 Python from A-Z Course Structure 00:04:00 Module 02: Getting Familiar with Python Getting Familiar with Python Section Overview 00:06:00 Installing Python on Windows 00:10:00 Anaconda and Jupyter Notebooks Part 1 00:08:00 Anaconda and Jupyter Notebooks Part 2 00:16:00 Comments 00:05:00 Python Syntax 00:02:00 Line Structure 00:03:00 Line Structure Exercise 00:07:00 Joining Lines 00:00:00 Multiple Statements on a Single Line 00:05:00 Indentation 00:08:00 Module 03: Basic Data Types Basic Data Types Section Overview 00:08:00 String Overview 00:10:00 String Manipulation 00:07:00 String Indexing 00:04:00 String Slicing 00:08:00 Printing 00:10:00 Python Variables 00:08:00 Integers and Floats 00:08:00 Booleans 00:05:00 Mini Project 1 : Letter Counter 00:20:00 Module 04: Python Operators Python Operators Section Overview 00:04:00 Comparison Operators 00:09:00 Arithmetic Operators 00:08:00 Assignment Operators 00:04:00 Logical Operators 00:13:00 Identity Operators 00:05:00 Membership Operators 00:02:00 Bitwise Operators 00:08:00 Module 05: Advanced Data Types Python Advanced Data Types Section Overview 00:11:00 Sets 00:06:00 List Overview 00:05:00 List Slicing and Indexing 00:04:00 Tuples 00:02:00 Dictionaries 00:11:00 When to use each one? 00:05:00 Compound Data Types 00:03:00 Module 06: Control Flow Part 1 Control Flow Part 1 Section Overview 00:15:00 Intro to Control Flow 00:01:00 Basic Conditional Statements 00:14:00 More Conditional Statements 00:00:00 For Loops 00:10:00 While Loops 00:12:00 Module 07: Control Flow Part 2 Control Flow Part 2 Section Overview 00:02:00 Break Statements 00:08:00 Continue Statements 00:05:00 Zip Function 00:07:00 Enumerate Function 00:04:00 List Comprehension 00:04:00 Module 08: Python Functions Python Functions Section Overview 00:03:00 Intro to Functions 00:02:00 Python help Function 00:03:00 Defining Functions 00:09:00 Variable Scope 00:08:00 Doc Strings 00:04:00 Module 09: User Input and Error Handling User Input and Error Handling Section Overview 00:02:00 Introduction to error handling 00:03:00 User Input 00:04:00 Syntax Errors 00:04:00 Exceptions 00:11:00 Handling Exceptions Part 1 00:08:00 Handling Exceptions Part 2 00:08:00 Module 10: Python Advanced Functions Python Advanced Functions Section Overview 00:05:00 Lambda Functions 00:05:00 Functions args and kwargs 00:10:00 Iterators 00:08:00 Generators and Yield 00:12:00 Map Function 00:14:00 Filter Function 00:00:00 Module 11: Python Scripting and Libraries Python Scripting and Libraries Section Overview 00:04:00 What is a script 00:01:00 What is an IDE 00:17:00 What is a text editor? 00:12:00 From Jupyter Notebook to VScode Part 1 00:15:00 From Jupyter Notebook to VScode Part 2 00:05:00 Importing Scripts 00:03:00 Standard Libraries 00:04:00 Third Party Libraries 00:06:00 Module 12: NumPy NumPy Section Overview 00:04:00 Intro to NumPy 00:04:00 Why use NumPy? 00:04:00 NumPy Arrays 00:10:00 Reshaping, Accessing, and Modifying 00:07:00 Slicing and Copying 00:06:00 Inserting, Appending, and Deleting 00:10:00 Array Logical Indexing 00:04:00 Broadcasting 00:08:00 Module 13: Pandas Intro to Pandas 00:17:00 Pandas Series 00:17:00 Pandas Series Manipulation 00:17:00 Pandas DataFrame 00:17:00 Pandas DataFrame Manipulation 00:13:00 Dealing with Missing Values 00:10:00 Module 14: Introduction to OOP Functional vs OOP 00:06:00 OOP Key Definitions 00:04:00 Create your First Class 00:12:00 How to Create and Use Objects 00:06:00 How to Modify Attributes 00:12:00 Module 15: Advanced OOP Python Decorators 00:27:00 Property Decorator 00:09:00 Class Method Decorator 00:07:00 Static Methods 00:10:00 Inheritance from A to Z 00:21:00 Module 16: Starting a Career in Python Python Career Section Overview 00:06:00 Getting Started with Freelancing 00:09:00 Building A Brand 00:12:00 Personal Branding 00:13:00 Importance of Having Website/Blog 00:04:00 Do's and Don'ts of Networking 00:06:00 Top Freelance Websites 00:08:00 Creating A Python Developer Resume 00:06:00 Assignment Assignment - Python Programming: Beginner To Expert 00:00:00 Order Your Certificate Order Your Certificate 00:00:00