Soft Skills for Data Analytics.
Communication for Data Storytelling: Develop skills to interpret data insights clearly and persuasively to different audiences
Critical Thinking for Data Problems: Develop a questioning mindset to interpret data reasonably.
Collaboration and Working with Cross-functional Teams: Build interpersonal skills for working on data projects with diverse teams.
Business Acumen for Analytics: Connect data work to business strategy and value.
Attention to Detail and Data Ethics Objectives: Foster Precision, accountability and ethical thinking.
Productivity, Adaptability and Career Readiness: Prepare for the realities of workplace data projects.


Data Analytics
Excel Fundamentals: Data entry and formatting, basic formulas, data visualisation using charts and tables.
Excel Intermediate: Logical and text functions, VLOOKUPS, XLOOKUPS, Pivot Tables and slicers.
Excel Advanced: Advanced Pivot Tables, Conditional Formatting, Interactive Dashboards.
SQL Fundamentals: An Introduction to Relational Databases, Normalization, Creating a database and tables, Populating the tables.
SQL Queries and Joins: Retrieve and Querying data, Using Joins, Aggregate functions and subqueries.
Power BI and SQL Integration: Importing data and modelling, Transforming data using Power Query , Creating Schema, Basic DAX formulas
Advanced Power BI and SQL: Dynamic Reporting.
Capstone Project: Create Projects using Excel, SQL and Power BI