End-to-end EDA report
Take a messy real-world dataset, clean it, explore it, and produce an analysis with clear findings and visuals.
PandasSQLSeaborn
Data Science & Analytics + AI
Statistics, SQL, Python and machine learning taught as a working analyst uses them — ending in models and dashboards you can actually show an interviewer.
Curriculum
Four modules that mirror how modern engineering teams actually work, designed by people who use these tools daily. Open any module to see the weekly breakdown.
Wk 1–2: Core Python — data structures, functions, OOP basics, Jupyter workflow
Wk 3: NumPy and Pandas — indexing, groupby, merges, reshaping
Wk 4: SQL — joins, aggregations, subqueries, window functions
Wk 5: Real-world data cleaning — missing values, outliers, type issues, messy CSVs
Wk 6: Descriptive statistics, distributions, correlation
Wk 7: Probability, sampling, confidence intervals, hypothesis testing, A/B tests
Wk 8: Exploratory data analysis, Matplotlib, Seaborn, storytelling with charts
Wk 9–10: Power BI — data modelling, DAX basics, interactive dashboards; Excel for analysts
Wk 11: ML workflow, train/test split, scikit-learn, linear & logistic regression
Wk 12: Decision trees, random forests, gradient boosting
Wk 13: Clustering, dimensionality reduction, recommendation basics
Wk 14: Feature engineering, cross-validation, hyperparameter tuning, imbalanced data
Wk 15: Model evaluation, interpretation, and knowing when not to use ML
Wk 16: LLM APIs, prompt engineering, using AI to accelerate exploratory analysis
Wk 17: Embeddings, vector databases, RAG over your own datasets and documents
Wk 18: Deploying a model or dashboard — Streamlit/FastAPI, cloud hosting, sharing your work
Weeks 19–20 are reserved for your capstone project, mock interviews, and resume/LinkedIn building.
Hands-on Projects
Every module ends in something you build yourself: real, working software for your portfolio.
Take a messy real-world dataset, clean it, explore it, and produce an analysis with clear findings and visuals.
Build a multi-page Power BI dashboard with a proper data model that answers real business questions.
Frame a business problem, engineer features, train and tune models, and defend your evaluation choices.
A full project of your choice — data pipeline through to a deployed dashboard or model with an AI layer.
Career Outcomes
We don't promise "100% placement"; no honest institute can. Here's what we actually provide, and what you can realistically expect.
Typical starting salaries in Pune for these roles, based on current market data — an observation, not a guarantee.
Technical and HR rounds with both mentors, so you've practised before it counts.
A TechSummitTrainers completion certificate for this program once you finish the course and capstone.
Roles this prepares you for
Schedule & Format
Attend live from our FC Road centre or join remotely. Your choice, every session.
Sessions are scheduled to work around your calendar. Exact slots confirmed at your demo.
Every session runs live, and is recorded so you can revisit anything you need to.
Every batch is structured for real one-on-one attention. Bring your own laptop.
Investment
No hidden add-ons for the things that actually get you hired. EMI options available.
Exact fee confirmed during your free, no-obligation demo based on your background. No payment required to book a demo. EMI options available.
Course FAQ
No. Statistics is taught from the ground up in Module 2, focused on what you actually apply as an analyst rather than on proofs. Comfort with numbers helps; a specific degree does not.
Realistically, most freshers enter this field as a Data Analyst or Business Analyst first, then move into data science with a couple of years of experience. We aim you at the roles you can genuinely get now, and give you the ML foundation to grow into the rest. Anyone promising a fresher Data Scientist title in five months is selling you something.
Recordings of every live session are shared within 24 hours, so you can catch up. Regular attendance is still encouraged, since our hands-on mentorship format works best when everyone shows up.
Yes. Sessions are scheduled to work around typical work and college hours, with exact timings confirmed at your demo based on the batch.
Yes, bring your own laptop. We'll help you set up the development environment in the first session.
Our team reaches out by call or WhatsApp within 24 hours to understand your background and schedule a free demo class. No payment required.
Other tracks at TechSummitTrainers
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