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.

people laughing and talking outside during daytime
people laughing and talking outside during daytime

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