Data Analytics
Build practical Data Analytics skills through SQL, Excel, data visualization, business analytics and a real-world end-to-end capstone project.
Course Curriculum
A practical learning journey covering the complete Data Analytics workflow — from analytics fundamentals and SQL to dashboards, business analysis and an end-to-end analytics project.
Modules
Build a strong foundation in Data Analytics by understanding different analytics approaches and the tools used to support business decision-making.
Explore descriptive, diagnostic, predictive and prescriptive analytics and understand their role in business decision-making.
Understand the role of Excel, SQL and BI platforms in modern data analysis and business reporting.
Develop practical SQL skills for extracting, combining and analyzing data across multiple relational tables.
Learn to filter, join and aggregate data across relational tables to answer practical analytical questions.
Use subqueries and window functions for ranking, running totals and comparative data analysis.
Learn how to turn analytical data into interactive dashboards and communicate important insights clearly to business stakeholders.
Create interactive dashboards that present important KPIs, trends and business performance indicators.
Apply visual design principles to communicate insights, trends and business decisions effectively.
Build advanced Excel skills for dynamic reporting, data transformation and structured analytical data modelling.
Summarize large datasets and create dynamic reports using Pivot Tables and advanced Excel formulas.
Clean and transform data with Power Query and build structured data models using Power Pivot.
Apply analytics techniques to practical business scenarios including sales, marketing performance and experimentation.
Analyze campaign performance, customer segments and sales trends to support data-driven business decisions.
Learn how to design and interpret A/B tests for comparing alternatives and evaluating business outcomes.
Apply the complete Data Analytics workflow by taking a raw business dataset through cleaning, analysis and visualization before presenting actionable recommendations.
Work with a raw business dataset through cleaning, analysis, visualization and development of actionable recommendations.
Present the completed analytics project and recommendations to a panel simulating a real business review.
What You'll Learn
Build practical Data Analytics skills from analytics fundamentals to SQL, dashboards, business analysis and real-world projects.
Data Analytics Fundamentals
Understand descriptive, diagnostic, predictive and prescriptive analytics and how they support business decisions.
SQL for Data Analytics
Query, join and aggregate relational data while using subqueries and window functions for deeper analysis.
Data Visualization & Dashboards
Build interactive dashboards with Power BI/Tableau and communicate insights clearly through effective data storytelling.
Advanced Excel Analytics
Analyze large datasets using Pivot Tables, advanced formulas, Power Query and Power Pivot for dynamic reporting.
Business Analytics Applications
Apply analytics to sales, marketing and customer data while learning the fundamentals of A/B testing.
End-to-End Analytics Project
Work with a real business dataset from cleaning and analysis through visualization, recommendations and final presentation.
Ready to Build Your Data Analytics Skills?
Take the next step toward practical Data Analytics learning with hands-on analysis, dashboards, business applications and a complete end-to-end capstone project.
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