Data Analytics, Power BI, Tableau, Python, AI, Cloud Computing Analyst & Microsoft Excel

Master the Tools of the Trade: 2025 Data Analysis, Python, Power BI, Tableau, AI Tools, Cloud Data, Microsft Excel, IT Cyber Security and Machine Learning

[Updated: 2025]

***Get 8 Courses for the price of 1. 9 Free Digital Certificate Included***

Do you want to propel your career in data analytics to new heights? Our comprehensive Data Analytics course, tailored for the UK job market, is designed for aspiring data analysts seeking to develop a robust skill set in the most sought-after tools and technologies. Join a community of forward-thinking professionals and become proficient in Data Analysis, Python, Power BI, Tableau, AI Tools, Cloud Data, Microsft Excel, IT Cyber Security and Machine Learning to transform data into actionable insights.

Why Data Analytics is Important for a Career:

• Informed Decision Making: In today's data-driven world, organisations heavily rely on Data Analyst to make informed decisions. Data Analysts play a crucial role in providing actionable insights that can lead to improved performance and strategic planning.
• High Demand for Data Professionals: The demand for skilled data professionals, including Data Analysts, is continuously increasing across various industries.
• Career Growth Opportunities: Data Analytics offers numerous career growth opportunities. Starting as a Data Analyst, one can progress to roles like Data Scientist, Business Analyst, Data Engineer, or even higher-level managerial positions.
• Problem-Solving Skills: Data Analysts develop strong problem-solving skills as they work on complex data-related challenges.
• Salary Potential: Data Analysts often receive competitive salaries due to the specialised nature of their work and the high demand for their skills.
• Versatility Across Industries: Data Analytics skills are applicable in a wide range of industries, including finance, marketing, healthcare, e-commerce, government, and more.
• Impactful Contributions: Data Analysts contribute to the success of organisations by helping them make data-driven decisions, which can lead to increased efficiency, cost savings, and overall growth.

Master data-driven decision-making and elevate your career prospects in the fast-paced world of data analytics.

This eight-part course is designed to equip you with the essential skills to dive into data analysis and visualisation, featuring:

• Course 1 - Data Analyst : Data Analytics
• Course 2 - Introduction to Python
• Course 3 - Power BI
• Course 4 - Data Analysis Using Tableau
• Course 5 - Generative AI - Prompt Engineering
• Course 6 - Cloud Data
• Course 7 - Microsoft Excel
• Course 8 - IT and Cyber Security

Why Should You Buy This Data Analysis, Python, Power BI, Tableau, AI Tools, Cloud Data, Microsft Excel, IT Cyber Security and Machine Learning Course?

The Data Analyst : Data Analytics Training includes:

• FREE PDF Certificate Included
• 50% Discount Available on additional and hardcopy certificates
• Lifetime access to the Data Analysis, Python, Power BI, Tableau, AI Tools, Cloud Data, Microsft Excel, IT Cyber Security and Machine Learning Bundle Course resources for life
• Easy to understand course materials
• 24/7 assistance and guidance
• Device Compatible

FREE CPD IQ Accredited Digital Certificate

Digital certificate - Included

Reed Courses Certificate of Completion

Digital certificate - Included

50% Discount on Hardcopy Certificate Accredited by CPD IQ

Hard copy certificate - £29

• Course 1 - Data Analyst : Data Analytics 37:00

  • 1: Module 1: Data Analysis Fundamentals 07:00
  • 2: Module 2: Probability Distributions 08:00
  • 3: Module 3: Risk & Utility Analysis.docx 07:00
  • 4: Module 4: Data Exploration and Visualization 07:00
  • 5: Module 5: Spreadsheet Modelling 08:00

• Course 2 - Introduction to Python 1:28:00

  • 6: Python Lecture 1: Overview of Python 06:00
  • 7: Python Lecture 2: What is Variables in python 07:00
  • 8: Python Lecture 3: How to use Conditional Expressions 08:00
  • 9: Python Lecture 4: Use of Loops 07:00
  • 10: Python Lecture 5: Basics of Functions 06:00
  • 11: Python Lecture 6: Define Objects in collections 08:00
  • 12: Machine Learning Lecture 1: Overview of Machine Learning 04:00
  • 13: Machine Learning Lecture 2: What is Linear Regression 04:00
  • 14: Machine Learning Lecture 3: Logistic Regression algorithm 04:00
  • 15: Machine Learning Lecture 4: Basic of Decision Trees algorithm 04:00
  • 16: Machine Learning Lecture 5: Support Vector Machine 04:00
  • 17: Machine Learning Lecture 6: How to run KNN 05:00
  • 18: Machine Learning Lecture 7: Why Naive Bayes Algorithm Gives good accuracy 04:00
  • 19: Machine Learning Lecture 8: What is meant by Clustering 06:00
  • 20: Machine Learning Lecture 9: Algorithms of Dimension Reduction 06:00
  • 21: Machine Learning Lecture 10: How Neural Networks Works 05:00

• Course 3 - Power BI 1:12:00

  • 22: Power BI Lecture 1: Power BI Overview 08:00
  • 23: Power BI Lecture 2: Discover and load file-based data with Power BI Desktop 08:00
  • 24: Power BI Lecture 3: Data Warehouse and Database Data Loading 08:00
  • 25: Power BI Lecture 4: How to use DirectQuery and Connect Live 08:00
  • 26: Power BI Lecture 5: How to Load Data from the Cloud and the Web 09:00
  • 27: Power BI Lecture 6: How to Handle Datasets 08:00
  • 28: Power BI Lecture 7: Data Transformation 08:00
  • 29: Power BI Lecture 8: Merged Data 08:00
  • 30: Power BI Lecture 9: Master the art of Power BI 07:00

• Course 4 - Data Analysis Using Tableau 1:03:00

  • 31: Module 1: Analytics of Data 06:00
  • 32: Module 2: Why Tableau is a Good Data Analytics Tool 07:00
  • 33: Module 3: Introduction to Tableau 08:00
  • 34: Module 4: Data Source for Tableau (TDS) 07:00
  • 35: Module 5: Worksheets for Tableau 07:00
  • 36: Module 6: Calculations in Tableau 08:00
  • 37: Module 7: Sort & Filters Tableau 06:00
  • 38: Module 8: Tabular Diagrams 08:00
  • 39: Module 9: Figure Advanced 06:00

• Course 5 - Generative AI - Prompt Engineering 1:07:00

  • 40: Module 1 Introduction to Generative AI and Prompt Engineering 08:00
  • 41: Module 2 Understanding Language Models 08:00
  • 42: Module 3 Prompting Techniques and Best Practices 07:00
  • 43: Module 4 Prompt Engineering for Text Generation 07:00
  • 44: Module 5 Prompt Engineering for Visual and Multimodal Outputs 07:00
  • 45: Module 6 Domain-Specific Prompting 06:00
  • 46: Module 7 Advanced Prompting Techniques 06:00
  • 47: Module 8 Evaluation and Optimisation 06:00
  • 48: Module 9 Ethics, Bias, and Safety in Prompt Engineering 06:00
  • 49: Module 10 Practical Applications and Capstone Projects 06:00

• Course 6 - Cloud Data 1:06:00

  • 50: Module 1 Introduction to Cloud Data 07:00
  • 51: Module 2 Cloud Data Storage Fundamentals 07:00
  • 52: Module 3 Data Ingestion and Integration in the Cloud 07:00
  • 53: Module 4 Cloud Databases and Querying 06:00
  • 54: Module 5 Cloud Data Security and Compliance 06:00
  • 55: Module 6 Big Data Analytics on Cloud Platforms 06:00
  • 56: Module 7 Machine Learning and AI with Cloud Data 07:00
  • 57: Module 8 Data Visualization and Reporting in the Cloud 07:00
  • 58: Module 9 Cloud Cost Management and Optimization 07:00
  • 59: Module 10 Future Trends and Challenges in Cloud Data 06:00

• Course 7 - Microsoft Excel 1:13:00

  • 60: Microsoft Excel Lecture 1: How to Access Excel 07:00
  • 61: Microsoft Excel Lecture 2: Basic Activities in Excel 14:00
  • 62: Microsoft Excel Lecture 3: How to Properly Use A Worksheet 18:00
  • 63: Microsoft Excel Lecture 4: Get Started with Excel tables and data 19:00
  • 64: Microsoft Excel Lecture 5: How to run Basic Calculations 07:00
  • 65: Microsoft Excel Lecture 6: Master shortcuts of Excel 08:00

• Course 8 - IT and Cyber Security 1:08:00

  • 66: Module 1 Introduction to Information Technology and Computer Science 10:00
  • 67: Module 2 Computer Programming and Software Development 11:00
  • 68: Module 3 Computer Networks and Cybersecurity 10:00
  • 69: Module 4 Foundations of Information Security 08:00
  • 70: Module 5 Networking Fundamentals and Threats 07:00
  • 71: Module 6 Cryptography and Data Protection 07:00
  • 72: Module 7 Operating System Security 08:00
  • 73: Module 8 Access Control and Identity Management 07:00

• Closing Thoughts 02:00

  • 74: Review Request 01:00
  • 75: Additional Material 01:00

• Assignment 01:00

  • 76: Assignment 01:00
  • 77: Assessment -

• Claim Your Certificate 01:00

  • 78: Claim Your Certificate 01:00

A Data Analyst in the field of Data Analytics is a professional who gathers, interprets, and analyzes large sets of data to extract valuable insights and aid in decision-making processes. Data Analytics is a process that involves the examination, cleansing, transformation, and modeling of data to discover meaningful patterns, trends, and correlations.

Learning Outcomes

This Data Analysis, Python, Power BI, Tableau, AI Tools, Cloud Data, Microsft Excel, IT Cyber Security and Machine Learning Bundle Courses comes with:

1. Understand the role of a data analyst and the fundamentals of data analytics.
2. Develop proficiency in data manipulation, exploratory analysis, and data visualisation techniques to extract insights from complex datasets.
3. Master Python programming for data analysis, automation, and machine learning, empowering you to efficiently handle data tasks.
4. Learn advanced Excel functions and techniques to organise, analyse, and visualise data effectively for data-driven decision-making.
5. Gain expertise in creating interactive data visualisations and dashboards to present complex information in a compelling and accessible manner.
6. Acquire essential machine learning skills to build predictive models and unlock powerful patterns and trends from data.
7. Gain proficiency in common IT tools and cyber security skills to protect them.

Certification

The Data Analytics for Data Analyst with Data Analysis, Python, Power BI, Tableau, AI Tools, Cloud Data, Microsft Excel, IT Cyber Security and Machine Learning Bundle Course includes a free e-certificate from reed.co.uk that will be instantly available for students who complete the Data Analyst : Data Analytics bundle successfully. You will also have claim to 8 FREE PDF Certificates from Career Education accredited by CPD IQ.

Furthermore, you will be eligible to order 8 hardcopy certificates after completing the bundle.

It is suitable for:

• Beginners looking to break into the fields of data analysis, cloud computing, or IT security

• Professionals wanting to upskill in Python, Power BI, Tableau, and Microsoft Excel

• Individuals interested in learning AI tools and their practical applications

• Business users seeking insights into data visualisation and machine learning

• Career changers aiming to transition into tech roles with in-demand competencies

• IT professionals who want a deeper understanding of cyber security and cloud data management

There are no official entry requirements for the Data Analyst : Data Analytics, and it is available to all students. The Data Analyst : Data Analytics training course is provided through Reed's online learning platform. Complete Data Analyst : Data Analytics course at your own pace.

Potential career outcomes include:

• Data Analyst
• Business Intelligence Analyst
• Machine Learning Assistant
• Python Programmer
• Power BI or Tableau Developer
• AI Tools Specialist
• Cloud Data Technician
• Excel Data Modelling Expert
• IT Cyber Security Analyst
• Entry-Level Data Scientist