Foundation Level: Data Analytics [BEC_DA_FO] – Jan 10 – Mar 1, 2026

This course is identical to our regular offering but is available at a special discounted price exclusively for NYSC members.

Course Summary

This course bridges the gap between data analytics and data science, introducing learners to programming, data manipulation, and foundational machine learning techniques. Over 8 weeks, participants will deepen their understanding of how to handle larger datasets, perform exploratory data analysis, and begin using predictive analytics.

Classes run at weekends 3 pm – 6 pm each day.

Course Outline

• Week 1: Introduction to Programming for Data
  • Overview of Python/SQL for data analysis
  • Basic programming concepts (variables, loops, functions)
  • Working with libraries (Pandas, Numpy)
• Week 2-3: Exploratory Data Analysis (EDA)
  • Understanding data distribution
  • Identifying patterns and relationships
  • EDA techniques and tools
• Week 4: Data Manipulation
  • Data transformation and cleaning using Python
  • Aggregating and summarising data
  • Dealing with time series data
• Week 5-6: Introduction to Machine Learning
  • Basics of supervised and unsupervised learning
  • Building simple models (linear regression, classification)
  • Evaluating model performance
• Week 7: Data Visualisation and Reporting
  • Advanced visualisation techniques
  • Interactive dashboards (Power BI/Tableau)
  • Automating reports
• Week 8: Capstone Project
  • Applying data analysis techniques to a real-world problem
  • Developing a presentation based on findings and insights

Learning Objectives

• Develop programming skills essential for data science
• Perform exploratory data analysis to uncover insights
• Build and evaluate basic machine learning models
• Create interactive visualisations and reports

Who Should Attend

• Participants with basic knowledge of data analytics
• Professionals wanting to move into data science
• Analysts looking to learn more about data manipulation and predictive modelling