Data Analysis
Master data analysis techniques using industry tools like Excel, SQL, and Python to uncover insights
Duration
8-12 weeks
Level
Intermediate
Skills Taught
6 Topics
Course Overview
Data Analysis is the practice of extracting meaningful insights from raw data to drive business decisions. In today’s data-driven world, organizations across all industries need skilled analysts who can transform complex datasets into clear, actionable intelligence. This course equips you with the tools and techniques to become that analyst.
What You’ll Learn
- Master Excel with pivot tables, VLOOKUP, and advanced formulas
- Write SQL queries to extract and manipulate data from databases
- Use Python libraries like pandas and NumPy for data analysis
- Create compelling data visualizations with tools like Tableau and Power BI
- Perform statistical analysis and hypothesis testing
- Build dashboards and reports that drive business decisions
Career Opportunities
Upon completion, you’ll be prepared for roles such as:
- Data Analyst
- Business Analyst
- Data Scientist (Junior)
- Analytics Engineer
- Business Intelligence Analyst
Industry Relevance
Data analysis is one of the fastest-growing fields in tech, with companies across finance, healthcare, e-commerce, and technology desperately seeking qualified analysts. The skills you’ll learn are highly profitable both in freelance consulting and traditional employment.