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Data Analyst Diploma: Data Analysis with Python, Microsoft Excel, SQL, Power BI, ML cover image

Data Analyst Diploma: Data Analysis with Python, Microsoft Excel, SQL, Power BI, ML
NextGen Learning

Get it all! The 20-Course Diploma Package | Free QLS, 20 CPD Certificates, 2 Case Studies | Full Lifetime Access.

Summary

Price
£109 inc VAT
Or £36.33/mo. for 3 months...
Study method
Online
Course format
Video
Duration
100 hours · Self-paced
Access to content
Lifetime access
Qualification
No formal qualification
CPD
200 CPD hours / points
CPD What's this?
Achievement
Endorsed by The Quality Licence Scheme
Certificates
  • 20 CPD Quality Standards Certificates - Free
  • CPD Quality Standards Certificates Hardcopy - Free
Additional info
  • Tutor is available to students

Overview

Limited-Time Bonus!

Enrol now and instantly unlock our £400 Success Pack — absolutely FREE!

Enjoy lifetime access and receive a QLS Endorsed Certificate, plus 20 CPDQS certificates, transcripts, and enrolment letters for every course you complete — the perfect way to showcase your achievements and boost your professional profile.

Hurry — this exclusive offer won’t last long!

In the digital age, data is the heartbeat of every successful organisation — and the ability to analyse, interpret, and visualise that data has become one of the most sought-after skills in the UK job market. Data analysts today are in high demand across finance, marketing, healthcare, and technology industries, driving smarter decisions and strategic growth.

The Data Analyst Diploma: Data Analysis with Python, Microsoft Excel, SQL, Power BI, ML bundle is designed to transform learners into confident, capable professionals equipped with modern analytical tools and programming expertise. Covering the full data analysis lifecycle — from raw data management to predictive modelling — this bundle gives you the technical and analytical confidence to thrive in a data-driven world.

Whether you’re a beginner seeking to launch your career or an experienced professional looking to sharpen your analytics toolkit, this programme provides all the skills, credentials, and support you need to succeed.

When You Enrol, You’ll Receive

  • 20 CPD Certificates to evidence your professional growth.
  • Lifetime access to all learning materials.
  • 24/7 customer support for complete guidance and assistance.
  • A QLS Endorsed Certificate to validate your expertise.

CPD QS Accredited Courses Included in This Bundle
  • Course 1: Data Science and Machine Learning using Python - A Bootcamp
  • Course 2: Statistics & Probability for Data Science & Machine Learning
  • Course 3: SQL for Data Science, Data Analytics and Data Visualization
  • Course 4: Data Manipulation in Python: Master Python, Numpy & Pandas
  • Course 5: Learn MySQL from Scratch for Data Science and Analytics
  • Course 6: Microsoft PowerBI – 25 Must-Know Tips and Tricks
  • Course 7: Getting Results with PowerBI
  • Course 8: Excel Data Analysis
  • Course 9: Microsoft Excel – 25 Must-Know Formulas and Functions
  • Course 10: Data Science & Machine Learning with Python
  • Course 11: Diploma in Data Analysis Fundamentals
  • Course 12: Business Intelligence Analyst Course
  • Course 13: Financial Modelling Using Excel
  • Course 14: Dynamic Excel Gantt Chart and Timelines
  • Course 15: Excel PowerQuery and PowerPivot
  • Course 16: Machine Learning Basics
  • Course 17: Deep Learning & Neural Networks Python - Keras
  • Course 18: Spatial Data Visualization and Machine Learning in Python
  • Course 19: Project on Deep Learning – Artificial Neural Network
  • Course 20: Building Big Data Pipelines with PySpark MongoDB and Bokeh

Achievement

Certificates

20 CPD Quality Standards Certificates

Digital certificate - Included

CPD Quality Standards Certificates Hardcopy

Hard copy certificate - Included

CPD

200 CPD hours / points
Accredited by CPD Quality Standards

Course media

Description

This diploma brings together 20 carefully selected modules that take you from data fundamentals to advanced analytics, programming, and business intelligence. You’ll explore Python, SQL, Excel, Power BI, and Machine Learning — gaining the technical expertise required to turn data into actionable insights.

  • Course 1: Data Science and Machine Learning using Python - A Bootcamp – Build your Python programming and machine learning skills to analyse datasets and create predictive models for business and research applications.

  • Course 2: Statistics & Probability for Data Science & Machine Learning – Strengthen your understanding of statistical methods and probability models essential for data interpretation and predictive analytics.

  • Course 3: SQL for Data Science, Data Analytics and Data Visualization – Learn to extract, manipulate, and visualise data using SQL queries to support analysis and reporting.

  • Course 4: Data Manipulation in Python: Master Python, Numpy & Pandas – Develop data-cleaning and transformation skills using Python’s core libraries for efficient data processing.

  • Course 5: Learn MySQL from Scratch for Data Science and Analytics – Master MySQL database management and querying techniques to support data collection and analytical workflows.

  • Course 6: Microsoft PowerBI – 25 Must-Know Tips and Tricks – Discover advanced Power BI tools to design professional dashboards and deliver compelling visual insights.

  • Course 7: Getting Results with PowerBI – Explore Power BI applications that turn raw datasets into dynamic, data-driven stories for management reporting.

  • Course 8: Excel Data Analysis – Enhance your Excel expertise by learning advanced techniques for analysing, summarising, and visualising data effectively.

  • Course 9: Microsoft Excel – 25 Must-Know Formulas and Functions – Gain mastery of essential Excel formulas and functions to streamline data tasks and automate calculations.

  • Course 10: Data Science & Machine Learning with Python – Advance your understanding of data science and machine learning algorithms using Python to create intelligent data solutions.

  • Course 11: Diploma in Data Analysis Fundamentals – Build a strong foundation in data collection, processing, and reporting through a comprehensive overview of modern analytics.

  • Course 12: Business Intelligence Analyst Course – Learn how to translate data into strategic decisions using BI frameworks and analytics dashboards.

  • Course 13: Financial Modelling Using Excel – Understand how to construct financial models and forecasting tools using Excel to support data-driven business planning.

  • Course 14: Dynamic Excel Gantt Chart and Timelines – Develop project-tracking and timeline-visualisation skills to manage and monitor data-driven projects in Excel.

  • Course 15: Excel PowerQuery and PowerPivot – Discover how to model, transform, and integrate large datasets in Excel using PowerQuery and PowerPivot.

  • Course 16: Machine Learning Basics – Learn the core principles of machine learning, including supervised and unsupervised algorithms, and apply them to real datasets.

  • Course 17: Deep Learning & Neural Networks Python - Keras – Gain a clear understanding of neural networks and deep learning architecture using Python’s Keras framework.

  • Course 18: Spatial Data Visualization and Machine Learning in Python – Explore the analysis and visualisation of spatial data using Python to derive geographic insights.

  • Course 19: Project on Deep Learning – Artificial Neural Network – Apply your knowledge to develop a complete deep-learning project using Artificial Neural Networks.

  • Course 20: Building Big Data Pipelines with PySpark MongoDB and Bokeh – Learn to design, process, and visualise large-scale data pipelines using cutting-edge Python technologies.

You’ll also receive 2 real-world case studies absolutely FREE, showcasing applied learning in professional data analysis environments:

Case Study 1: Building Automated Data Pipelines for Retail Insight
Discover how SQL, Python, and Power BI integration streamlined retail data workflows and improved decision-making efficiency.

Case Study 2: Deploying Machine Learning Models for Predictive Maintenance
Learn how predictive models and Power BI dashboards optimised asset management and reduced downtime across multiple projects.

Who is this course for?

  • Aspiring data analysts and programmers aiming to master modern analytics tools.
  • Business professionals seeking to upgrade their data visualisation and reporting skills.
  • Graduates looking to pursue careers in data science or machine learning.
  • IT and software professionals transitioning into analytics and BI roles.
  • Consultants and managers looking to make data-driven decisions confidently.

Requirements

There are no formal entry requirements for the Data Analyst Diploma: Data Analysis with Python, Microsoft Excel, SQL, Power BI, ML. It is open to all learners eager to develop their analytical and technical expertise in the data industry.

Career path

  • Data Analyst
  • Business Intelligence Developer
  • Power BI Specialist
  • SQL Developer
  • Machine Learning Engineer
  • Data Scientist
  • Big Data Analyst
  • BI Consultant
  • Analytics Manager
  • Data Visualisation Expert

Questions and answers

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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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