Data Analyst Course
Learn practical data analysis from raw data to actionable insights — Excel, SQL, Python (Pandas), visualization, dashboarding and real-world projects that get you job-ready.
Learn practical data analysis from raw data to actionable insights — Excel, SQL, Python (Pandas), visualization, dashboarding and real-world projects that get you job-ready.
A hands-on, outcomes-focused path to become a data analyst: clean data, explore, visualize, create dashboards and present insights to stakeholders.
Advanced Excel, formulas, pivot tables, Power Query and practical data-cleaning techniques.
Writing efficient SELECTs, joins, window functions, aggregation, and building analyst-ready datasets.
Using Python for data cleaning, transformation, EDA, and automation with Pandas & NumPy.
Power BI / Tableau basics, visual best practices and building interactive dashboards.
Modular, project-driven curriculum — each module includes demos and practical labs.
Formulas, pivot tables, lookups, data validation, Power Query and automation tips.
SELECT, JOINs, GROUP BY, window functions, CTEs and building analysis-ready tables.
Data ingestion, cleaning, merge, reshape, time-series basics and automation scripts.
Visualization principles, Matplotlib/Seaborn, and dashboarding with Power BI / Tableau.
Descriptive stats, hypothesis testing, confidence intervals and experiment analysis.
End-to-end project: data pipeline, analysis, dashboard & final presentation.
Industry-standard tools for data analysis and visualization.
Excel
SQL
Python
Pandas
Power BI
Tableau
Excel
SQL
Python
Pandas
Power BI
Tableau
Flexible schedule with practical labs and a portfolio-ready capstone.
Twice-weekly sessions + weekend lab assignments.
Comfort with spreadsheets recommended; we teach SQL & Python from basics.
Complete pipeline: data ingestion → cleaning → analysis → dashboard → presentation.
Receive a DSS certificate and project artifacts for your portfolio.
Answers to common student questions.