Data Analyst Mastery Course
Become a job-ready Data Analyst — hands-on projects, real datasets, dashboards, and end-to-end case studies.
This career-focused program teaches data collection, cleaning, analysis, visualization and reporting using Excel, SQL, Python (Pandas), and Power BI/Tableau — finished with a capstone project you can add to your portfolio. Brochure as primary syllabus.
- 12 weeks · Weekend batches · Online & classroom
- Toolset: Excel & Advanced Excel, SQL, Python, Power BI / Tableau
- Capstone project + portfolio files & certificate
About The Course
The Data Analyst Mastery Program focuses on the exact, practical skills employers demand from data analysts: accurate data cleaning and preparation, exploratory data analysis, statistical testing, SQL querying for business reports, Python for reproducible analysis, and dashboarding for stakeholder communication. The course centers on real business datasets and a final project that demonstrates impact
Why This Course Stands Out
Detailed Curriculum
Model and query relational data with MySQL. Topics: SQL syntax & data types; DDL/DML; SELECT, WHERE, CASE; NULL handling; GROUP BY, HAVING; JOINS & subqueries; UNION/INTERSECT; indexes, views; stored procedures, functions, cursors & triggers.
Deliverable: 15+ SQL queries + stored procedures for key KPIs.
Complete workflow from raw data to dashboards. Topics: Power Query (filter, shape, custom columns); data modeling & relationships; DAX basics (CALCULATE, FILTER, time intelligence); visual design, custom visuals; publishing to Power BI Service.
Deliverable: Publishable Power BI dashboard with KPIs.
Build reproducible analysis pipelines. Topics: Python basics, data types, control flow; functions, modules, regex, file I/O, exceptions; pandas (Series/DataFrame, indexing, groupby, merge, clean, validate, export).
Deliverable: Jupyter notebook with full ETL + analysis.
Master Excel for analysis & reporting. Topics: advanced formulas (SUMIFS, XLOOKUP, INDEX/MATCH); date & text functions; conditional formatting; PivotTables & slicers; dashboards; Power Query for ETL; macros & VBA intro.
Deliverable: Interactive Excel dashboard with Power Query steps.
Create engaging visuals in Tableau. Topics: workspace & charts; filters, parameters & actions; calculated fields & table calcs; groups, bins, sets & hierarchies; analytics pane; dashboard actions; publishing to Tableau Public.
Deliverable: Tableau dashboard + short walkthrough.
Apply statistics to business decisions. Topics: descriptive stats; probability & normal distribution; hypothesis testing; confidence intervals; regression basics; drawing insights & communicating results.
Deliverable: Concise statistical analysis report with recommendations.
Learning Outcomes
- Extract, clean and prepare datasets using Excel, SQL and Python.
- Build analysis pipelines that are reproducible and automated.
- Create executive dashboards and visual stories in Power BI / Tableau.
- Run basic experiments and statistical tests to inform business decisions.
- Deliver a portfolio-ready capstone that demonstrates real business impact.
Who Should Enrol
- Fresh graduates aiming for data analyst jobs.
- Business analysts, marketing analysts, or anyone who wants to switch to an analytics role.
- Professionals who need to build dashboards and deliver insights to stakeholders.
Tools & Software Taught
You’ll work hands-on with Advanced Excel for data cleaning and quick analysis, SQL for database querying and report generation, Python (Pandas and NumPy) for deeper analytics and automation, and Power BI / Tableau for interactive dashboards and visual storytelling. Each tool is integrated into real business projects so you learn not just how the software works, but how to combine them into a complete, end-to-end analytics workflow.
Student Reviews
Had only basic Excel when I started, now I’m writing SQL queries and building Power BI dashboards each week.
Cleaning messy datasets always stressed me out, but the Python, Pandas made it straightforward and even fun.
The project-based format kept me motivated week after week instead of drifting off.
Finished with a dashboard + code repo + executive summary that helped me in my internship interview.
I learned to build dashboards that stakeholders actually understand not just charts on a screen. The one-on-one feedback sessions were a big help when I got stuck.
Frequently Asked Questions
A: 10–12 weeks. Weekend & weekday batches available — contact us for next timings.
A: SQL, Python, Excel, PowerBI, Tableau
A: Yes — certificate on successful project submission and evaluation.
A: Yes — at least 2 hands-on projects including a final capstone suitable for your portfolio.
A: Resume & interview prep are included; placement assistance details available on enquiry.