Build strong analytics foundations during the first three months through Excel, SQL, Python, Pandas, data cleaning, Power BI and business insight writing. Then spend the next three months developing a major analytics project with dashboard improvement, portfolio documentation, GitHub README and presentation practice.
This program is suitable for final-year students, freshers and learners who want deeper practical analytics training instead of only short-term tool exposure.
Suitable for B.Tech, BCA, MCA and diploma students, final-year students, freshers, beginners and career switchers from Mohali, Chandigarh, Panchkula, Kharar, Zirakpur and nearby Tricity areas.
Build analytics foundations in Excel, SQL, Python, Pandas and Power BI.
Apply the full analytics workflow through one guided portfolio project.
Build dashboard pages, visuals, measures and written business insights.
Organize project files and prepare a clear README for portfolio discussion.
The program is divided into two phases so students first build the technical foundation and then apply it through a complete analytics project.
Learn the core tools and business-thinking skills required before starting a major portfolio project.
Apply the first three months of learning to one complete project with dataset cleaning, analysis, dashboarding and documentation.
The exact pace may vary by batch, but the learning and project direction follows this progression.
Business questions, data quality, Excel formulas, pivot tables, charts, percentages and growth calculations.
SQL queries, joins, CASE statements, Python basics, DataFrames, cleaning and summaries.
Power Query, relationships, DAX basics, dashboard pages and insight explanation.
Finalize the problem statement, understand the dataset, clean fields and plan report and dashboard requirements.
Build SQL analysis, Excel summaries, Python cleaning and Power BI dashboard pages.
Improve the dashboard, write recommendations, prepare GitHub documentation and practice project explanation.
Students complete smaller tool-based assignments before beginning the major analytics project.
Build formulas, pivot tables, charts and a written summary from a business dataset.
Write queries using filtering, grouping, joins and revenue or conversion questions.
Clean Excel or CSV data and prepare it for reporting and dashboard use.
Create cards, charts, slicers, filters and written dashboard observations.
The final three months help students apply Excel, SQL, Python/Pandas and Power BI through one complete analytics workflow.
Prepare analysis-ready data by handling duplicates, missing values, formats and inconsistent fields.
Write and organize queries that answer important analysis and reporting questions.
Build dashboard pages, cards, charts, slicers, filters and useful measures.
Explain findings, business impact and practical recommendations in simple language.
Students receive guidance for dataset preparation, SQL analysis, Excel reporting, Power BI dashboard development, insight writing, presentation and GitHub README documentation. Final project scope depends on student progress and dataset availability.
The selected project depends on dataset availability, batch direction and student readiness.
Enquiries, admissions, revenue, course performance and marketing source analysis.
Products, categories, cities, revenue trends and monthly growth analysis.
Average order value, repeat customers, product categories and sales performance.
Campaign cost, leads, conversion, ROI, CPL and channel quality.
Attrition, salary, department, experience and employee trend analysis.
Convert findings into recommendations, dashboard notes and presentation slides.
This program is intended for learners who want enough time for structured analytics learning and a complete documented portfolio project.
B.Tech, BCA, MCA and diploma students who need longer industrial training and project work.
Learners who want Excel, SQL, Python and Power BI practice before entry-level analytics roles.
Working professionals exploring reporting, MIS, BI dashboard or data analyst pathways.
Students practice datasets, queries, dashboards and project documentation with direct mentor support throughout the six-month program.
Review the essential program information before booking a counselling session.
Address:
E-45, Industrial Area, Phase 8, Mohali
Students from Chandigarh, Panchkula, Kharar, Zirakpur and nearby Tricity areas can attend the offline program at the Mohali campus.
Looking for a shorter 45-day or 3-month Data Analytics program?
Compare All Data Analytics ProgramsQuick answers for students and parents before joining the program.
The program duration is 6 months and the fee is ₹4,000 per month.
The first 3 months focus on analytics tools and business-thinking foundations. The next 3 months focus on major project development, dashboard improvement and GitHub documentation.
It is an offline classroom program conducted at Zestminds Academy’s Mohali campus.
Yes. The program begins with data basics and Excel before moving into SQL, Python, Pandas, Power BI and the major project.
The program covers Excel, SQL, Python, Pandas, Power BI, Power Query, DAX basics and GitHub documentation.
Yes. The final three months are dedicated to a guided analytics project with dataset cleaning, analysis, dashboarding, insights and presentation.
Yes. Students receive guidance for organizing project files, maintaining the repository and writing a clear README.
Yes. Students from Chandigarh, Panchkula and nearby Tricity areas can attend classes at the Mohali campus.
Yes. Students should bring a personal laptop for Excel, SQL, Python, Power BI, GitHub and major project work.
No. The program focuses on practical learning, project guidance, portfolio documentation, resume preparation and interview support. Employment is not guaranteed.
Build analytics foundations during the first three months, then develop and document a major portfolio project during the next three months.
Fee: ₹4,000/month | Mode: Offline | Location: Mohali Campus
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