Build strong Data Science foundations during the first three months through Python, NumPy, Pandas, SQL, statistics, data cleaning, exploratory data analysis, visualization and Machine Learning basics. Then spend the next three months developing a major capstone project with GitHub documentation, README writing and project explanation practice.
This program is suitable for final-year students, freshers and learners who want deeper Data Science practice, a documented project portfolio and more time to understand complete ML workflows.
Suitable for B.Tech, BCA, MCA, M.Tech and diploma students, final-year students, freshers and beginners from Mohali, Chandigarh, Panchkula, Kharar, Zirakpur and nearby Tricity areas.
Build foundations in Python, Pandas, SQL, statistics, EDA and ML.
Apply the full Data Science workflow through one guided major project.
Practice regression, classification, evaluation and model interpretation.
Organize notebooks, files and README documentation for project discussion.
Students first build the technical and analytical foundation, then apply it through one complete Data Science project.
Learn the programming, data handling, statistics, visualization and model fundamentals required before starting a major project.
Apply the first three months of learning to a guided capstone with dataset preparation, EDA, model workflow and documentation.
The exact pace may vary by batch and student readiness, but the program follows this learning and project progression.
Python revision, functions, files, notebooks, arrays, DataFrames, filtering, grouping and merging.
Data quality, SQL analysis, mean, variance, correlation, probability basics and visualization reports.
Regression, classification, train-test split, model evaluation, debugging and Git basics.
Finalize the problem statement, understand the dataset, plan cleaning steps and define expected project outcomes.
Build notebooks, clean data, create visual reports and develop a suitable basic model or analysis workflow.
Improve the project, interpret results, write the README and practice project explanation.
Students complete smaller assignments before beginning the major Data Science capstone.
Handle missing values, duplicates, incorrect data types, inconsistent columns and text or date issues.
Create charts, comparisons, trends, written observations and summary insights.
Answer data questions using SQL queries and Pandas filtering, grouping and summaries.
Practice train-test split, prediction, evaluation and simple result interpretation.
The final three months help students apply Python, Pandas, SQL, EDA, visualization and Machine Learning through one complete project workflow.
Prepare analysis-ready data and document the cleaning and transformation steps.
Create charts, comparisons, observations and data-driven insights.
Build a suitable basic model or deeper analysis workflow depending on project scope and readiness.
Organize notebooks, files, README documentation and explanation notes.
Students receive guidance for dataset preparation, Jupyter Notebook or Python files, EDA reporting, SQL or Pandas analysis, a suitable model workflow, insight writing, presentation and GitHub README documentation. Final scope depends on student progress, dataset quality and project suitability.
The selected project depends on dataset availability, batch direction, student progress and technical suitability.
Study enquiries, student background, course performance and admission patterns.
Analyze revenue, products, cities, growth patterns and prediction opportunities.
Explore customer behavior, churn indicators and retention-related patterns.
Study attrition, salary, department, experience and employee trends.
Analyze leads, conversion, campaign costs and channel performance.
Convert project findings into explanations, limitations and presentation slides.
This program is intended for learners who want enough time for structured Data Science learning and a complete documented capstone.
B.Tech, BCA, MCA, M.Tech and diploma students who need longer industrial training and project work.
Learners who want Python, Pandas, SQL, EDA and ML practice before fresher-level interviews.
Working professionals exploring Data Science, Machine Learning, analytics or Python pathways.
Students practice Python, datasets, notebooks, SQL, visual reports, ML workflows and project documentation with direct mentor support.
Review the essential program information before booking counselling.
Project-focused internship-style exposure may be available as part of the selected program and academy process. Confirm certificate and internship documentation details during counselling.
Check Batch Availability
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 Science program?
Compare All Data Science 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 Data Science and Machine Learning foundations. The next 3 months focus on major capstone development, GitHub documentation and project explanation.
It is an offline classroom program conducted at Zestminds Academy’s Mohali campus.
Yes. The program begins with Python and data-handling foundations before moving into statistics, SQL, EDA, Machine Learning and the capstone.
The program covers Python, NumPy, Pandas, SQL, statistics, EDA, visualization, Machine Learning basics, Jupyter Notebook and GitHub documentation.
Yes. The final three months are dedicated to a guided capstone involving dataset preparation, EDA, analysis or modelling, documentation and presentation.
Yes. Students receive guidance for repository organization, project folders, notebooks and README writing.
Project-focused internship-style exposure may be available with the selected 6-month program depending on attendance, project work and academy process. Confirm exact documentation during counselling.
Yes. Students should bring a personal laptop for Python, notebooks, SQL, Machine Learning, GitHub and capstone work.
No. The program focuses on practical learning, project guidance, portfolio documentation, resume preparation and interview support. Employment is not guaranteed.
Build Data Science and ML foundations during the first three months, then develop and document a major capstone during the next three months.
Fee: ₹4,000/month | Mode: Offline | Location: Mohali Campus
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