Data Analysis

A practical course in collecting, cleaning, analyzing, and visualizing data to support evidence-based decision-making, using industry-standard tools and statistical thinking.

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What you'll learn

Curriculum modules covered across the program.

check_circleData analysis fundamentals and the analytics workflow
check_circleExcel for data analysis: formulas, pivot tables, and dashboards
check_circleSQL for querying and manipulating structured data
check_circlePython for data analysis (Pandas, NumPy)
check_circleData cleaning, wrangling, and handling missing or inconsistent data
check_circleDescriptive and inferential statistics
check_circleData visualization principles using Matplotlib/Seaborn and Power BI or Tableau
check_circleBuilding dashboards and reports for stakeholders
check_circleIntroduction to A/B testing and basic predictive analysis
check_circleStorytelling with data and presenting insights to non-technical audiences
check_circleCapstone: an end-to-end analysis project with a presented dashboard

Skills & knowledge acquired

What you'll be able to do by the end of this course.

workspace_premium Proficiency in Excel, SQL, and Python for data work
workspace_premium Ability to clean and prepare real-world datasets
workspace_premium Skill in building dashboards and visual reports
workspace_premium Understanding of statistical concepts underlying business decisions
workspace_premium Ability to communicate data-driven insights clearly

Ready to start Data Analysis?

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