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

NextGen Learning

20 CPD Quality Standards Certificates

Digital certificate - Included

CPD Quality Standards Certificates Hardcopy

Hard copy certificate - Included

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.

• 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.

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.

• 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

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