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Data Analytics, Power BI, Tableau, Python, Cloud Computing Analyst, Microsoft Excel & IT cover image

Data Analytics, Power BI, Tableau, Python, Cloud Computing Analyst, Microsoft Excel & IT
Career Education

10 in 1 CPD IQ Accredited Courses | 11 Free PDF Certificates | 119 CPD Points | Updated 2026 | AI, Cyber Security & More

Summary

Price
Save 24%
£19 inc VAT (was £25)
Offer ends 02 May 2026
Study method
Online, On Demand 
Duration
13 hours · Self-paced
Qualification
No formal qualification
Certificates
  • FREE CPD IQ Accredited Digital Certificate - Free
  • Reed Courses Certificate of Completion - Free
  • Transcript of Courses - £9.99
  • 50% Discount on Hardcopy Certificate Accredited by CPD IQ - £29
Additional info
  • Tutor is available to students
603 students purchased this course

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Overview

Master the Tools of the Trade: 2026 Data Analysis, Python, Power BI, Tableau, AI Tools, Cloud Data, Microsoft Excel, IT, Cyber Security and Machine Learning

[Updated: 2026]

***Get 10 Courses for the price of 1. 11 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, Tableau, AI, Cloud Data, IT Cyber Security and Machine Learning to transform data into actionable insights alongside tools such as Microsoft Excel, Power BI & Google Looker Studio.

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 - Python Programming
  • Course 3 - Machine Learning
  • Course 4 - Power BI
  • Course 5 - Data Analysis Using Tableau
  • Course 6 - Generative AI - Prompt Engineering
  • Course 7 - Cloud Data
  • Course 8 - Microsoft Excel
  • Course 9 - IT and Cyber Security
  • Course 10 - Google Looker Studio

Why Should You Buy This Data Analytics, Power BI, Tableau, Python, Cloud Computing Analyst, Microsoft Excel & IT 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, Microsoft Excel, IT Cyber Security and Machine Learning Bundle Course resources for life
  • Easy to understand course materials
  • 24/7 assistance and guidance
  • Device Compatible

Certificates

Curriculum

14
sections
122
lectures
12h 58m
total

    • 1: Module 1 Introduction to Data Analytics 09:00
    • 2: Module 2 Data Collection Methods 09:00
    • 3: Module 3 Data Types and Structures 08:00
    • 4: Module 4 Data Cleaning and Preparation 08:00
    • 5: Module 5 Exploratory Data Analysis (EDA) 08:00
    • 6: Module 6 Data Visualisation Principles 08:00
    • 7: Module 7 Spreadsheet-Based Data Analysis 08:00
    • 8: Module 8 Databases and SQL Basics 08:00
    • 9: Module 9 Statistical Analysis for Data Analytics 07:00
    • 10: Module 10 Introduction to Programming for Data Analytics 07:00
    • 11: Module 11 Data Analysis with Python or R 07:00
    • 12: Module 12 Business Intelligence Tools 06:00
    • 13: Module 13 Predictive Analytics Fundamentals 07:00
    • 14: Module 14 Communicating Insights and Reporting 06:00
    • 15: Module 15 Data Analytics in Practice 07:00
    • 16: Assignment -

    • 17: Module 1 Introduction to Python 05:00
    • 18: Module 2 Variables and Data Types 06:00
    • 19: Module 3 Control Structures 06:00
    • 20: Module 4 Functions 06:00
    • 21: Module 5 Modules and Packages 05:00
    • 22: Module 6 File Handling 05:00
    • 23: Module 7 Object-Oriented Programming 05:00
    • 24: Module 8 Error and Exception Handling 05:00
    • 25: Module 9 Data Structures and Algorithms 06:00
    • 26: Module 10 Introduction to Libraries and Frameworks 07:00
    • 27: Assignment -

    • 28: Module 1 Overview to Machine Learning 04:00
    • 29: Module 2 What is Linear Regression 04:00
    • 30: Module 3 Logistic Regression Algorithm 04:00
    • 31: Module 4 Basic of Decision Trees Algorithm 04:00
    • 32: Module 5 Support Vector Machines (SVMs) 04:00
    • 33: Module 6 How to run k-Nearest Neighbors 05:00
    • 34: Module 7 Why Naive Bayes Algorithm Gives good accuracy 04:00
    • 35: Module 8 What is meant by Clustering Algorithms 06:00
    • 36: Module 9 Algorithms of Dimension Reduction 06:00
    • 37: Module 10 How Neural Networks Works 05:00
    • 38: Assignment -

    • 39: Power BI Lecture 1: Power BI Overview 08:00
    • 40: Power BI Lecture 2: Discover and load file-based data with Power BI Desktop 08:00
    • 41: Power BI Lecture 3: Data Warehouse and Database Data Loading 08:00
    • 42: Power BI Lecture 4: How to use DirectQuery and Connect Live 08:00
    • 43: Power BI Lecture 5: How to Load Data from the Cloud and the Web 09:00
    • 44: Power BI Lecture 6: How to Handle Datasets 08:00
    • 45: Power BI Lecture 7: Data Transformation 08:00
    • 46: Power BI Lecture 8: Merged Data 08:00
    • 47: Power BI Lecture 9: Master the art of Power BI 07:00
    • 48: Assignment -

    • 49: Module 1: Analytics of Data 06:00
    • 50: Module 2: Why Tableau is a Good Data Analytics Tool 07:00
    • 51: Module 3: Introduction to Tableau 08:00
    • 52: Module 4: Data Source for Tableau (TDS) 07:00
    • 53: Module 5: Worksheets for Tableau 07:00
    • 54: Module 6: Calculations in Tableau 08:00
    • 55: Module 7: Sort & Filters Tableau 06:00
    • 56: Module 8: Tabular Diagrams 08:00
    • 57: Module 9: Figure Advanced 06:00
    • 58: Assignment -

    • 59: Module 1 Introduction to Generative AI and Prompt Engineering 08:00
    • 60: Module 2 Understanding Language Models 08:00
    • 61: Module 3 Prompting Techniques and Best Practices 07:00
    • 62: Module 4 Prompt Engineering for Text Generation 07:00
    • 63: Module 5 Prompt Engineering for Visual and Multimodal Outputs 07:00
    • 64: Module 6 Domain-Specific Prompting 06:00
    • 65: Module 7 Advanced Prompting Techniques 06:00
    • 66: Module 8 Evaluation and Optimisation 06:00
    • 67: Module 9 Ethics, Bias, and Safety in Prompt Engineering 06:00
    • 68: Module 10 Practical Applications and Capstone Projects 06:00
    • 69: Assignment -

    • 70: Module 1 Introduction to Cloud Data 07:00
    • 71: Module 2 Cloud Data Storage Fundamentals 07:00
    • 72: Module 3 Data Ingestion and Integration in the Cloud 07:00
    • 73: Module 4 Cloud Databases and Querying 06:00
    • 74: Module 5 Cloud Data Security and Compliance 06:00
    • 75: Module 6 Big Data Analytics on Cloud Platforms 06:00
    • 76: Module 7 Machine Learning and AI with Cloud Data 07:00
    • 77: Module 8 Data Visualization and Reporting in the Cloud 07:00
    • 78: Module 9 Cloud Cost Management and Optimization 07:00
    • 79: Module 10 Future Trends and Challenges in Cloud Data 06:00
    • 80: Assignment -

    • 81: Microsoft Excel Lecture 1: How to Access Excel 07:00
    • 82: Microsoft Excel Lecture 2: Basic Activities in Excel 14:00
    • 83: Microsoft Excel Lecture 3: How to Properly Use A Worksheet 18:00
    • 84: Microsoft Excel Lecture 4: Get Started with Excel tables and data 19:00
    • 85: Microsoft Excel Lecture 5: How to run Basic Calculations 07:00
    • 86: Microsoft Excel Lecture 6: Master shortcuts of Excel 08:00
    • 87: Assignment -

    • 88: Module 1 Introduction to Information Technology and Computer Science 10:00
    • 89: Module 2 Computer Programming and Software Development 11:00
    • 90: Module 3 Computer Networks and Cybersecurity 10:00
    • 91: Module 4 Foundations of Information Security 08:00
    • 92: Module 5 Networking Fundamentals and Threats 07:00
    • 93: Module 6 Cryptography and Data Protection 07:00
    • 94: Module 7 Operating System Security 08:00
    • 95: Module 8 Access Control and Identity Management 07:00
    • 96: Assignment -

    • 97: Module 1 Introduction to Looker Studio 09:00
    • 98: Module 2 Data Sources and Connections 08:00
    • 99: Module 3 Data Preparation and Modelling 08:00
    • 100: Module 4 Charts and Visual Components 07:00
    • 101: Module 5 Report Layout and Design 07:00
    • 102: Module 6 Filters and Controls 07:00
    • 103: Module 7 Interactivity and User Experience 07:00
    • 104: Module 8 Data Blending and Advanced Analysis 07:00
    • 105: Module 9 Sharing, Collaboration, and Access 06:00
    • 106: Module 10 Automation, Maintenance, and Best Practices 06:00
    • 107: Assignment -

    • 108: Review Request 01:00
    • 109: Additional Material 01:00

    • 110: Assessment -

    • 111: Claim Your Certificate 01:00

    • 112: Data Analytics Module 1: Data Analysis Fundamentals 07:00
    • 113: Data Analytics Module 2: Probability Distributions 08:00
    • 114: Data Analytics Module 3: Risk & Utility Analysis.docx 07:00
    • 115: Data Analytics Module 4: Data Exploration and Visualization 07:00
    • 116: Data Analytics Module 5: Spreadsheet Modelling 08:00
    • 117: Python Lecture 1: Overview of Python 06:00
    • 118: Python Lecture 2: What is Variables in python 07:00
    • 119: Python Lecture 3: How to use Conditional Expressions 08:00
    • 120: Python Lecture 4: Use of Loops 07:00
    • 121: Python Lecture 5: Basics of Functions 06:00
    • 122: Python Lecture 6: Define Objects in collections 08:00

Description

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 10 FREE PDF Certificates from Career Education accredited by CPD IQ.

Furthermore, you will be eligible to order 10 hardcopycertificates after completing the bundle.

Who is this course for?

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

Requirements

There are no official entry requirements for the Data Analytics, Power BI, Tableau, Python, Cloud Computing Analyst, Microsoft Excel & IT course, and it is available to all students. This course is provided through Reed's online learning platform.

Career path

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

Questions and answers

Reviews

4.4
Course rating
90%
Service
86%
Content
87%
Value

Legal information

This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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