Data Science
Become a job-ready professional in 6 months — offline bootcamp in Indore.
duration
6 months
hours/lessons
300 hours · 90 lessons
mode
Offline bootcamp, Indore (hybrid support)
language
English (Hindi support)
certificate
Yes, on completion
fees
Enquire for fees
// 01 — what_you_learn
What you'll learn
- Wrangle data with Python, pandas and SQL
- Visualise insights with Matplotlib, Seaborn and Plotly
- Build ML models: regression, trees, ensembles
- Evaluate models honestly: cross-validation, leakage checks
- Run NLP basics: embeddings, classification, summarisation
- Use GenAI for EDA, feature ideas and reporting
- Serve models with FastAPI and Streamlit dashboards
- Present a data-story portfolio in interviews
// 02 — full_syllabus
Full syllabus
Complete module-by-module syllabus with every lesson taught in class.
M1Module 1 — Python & data wrangling (Weeks 1–4)
- 01Python for data: structures, functions, OOP essentials
- 02NumPy arrays and vectorised thinking
- 03Pandas: cleaning, joins, groupbys, pivots
- 04SQL: selects, joins, aggregations, windows
- 05Web data: APIs and CSV pipelines
- 06Mini project: municipal dataset cleanup
M2Module 2 — Statistics & visualisation (Weeks 5–8)
- 01Descriptive stats that avoid lies
- 02Distributions, outliers, missing data
- 03Hypothesis testing intuition
- 04Matplotlib/Seaborn/Plotly dashboards
- 05Storytelling with charts for non-technical audiences
- 06Project: city-services EDA report
M3Module 3 — Machine learning (Weeks 9–14)
- 01Train/test splits and cross-validation
- 02Linear/logistic regression done right
- 03Trees, forests, gradient boosting
- 04Feature engineering and selection
- 05Imbalance, leakage and overfitting clinics
- 06Hyperparameter tuning with discipline
- 07Project: loan-default prediction with report
M4Module 4 — NLP & GenAI for data (Weeks 15–18)
- 01Text cleaning and embeddings intuition
- 02Classification and sentiment pipelines
- 03Summarisation and extraction with LLMs
- 04RAG for querying your own datasets
- 05Project: review-insights engine
M5Module 5 — Deployment & career (Weeks 19–24)
- 01Streamlit dashboards stakeholders use
- 02FastAPI model serving basics
- 03Git, notebooks and reproducibility
- 04Resume with quantified project impact
- 05Mock interviews: guesstimates, SQL, ML theory
- 06Capstone build and placement prep
// 03 — capstones
Capstone projects
City Services EDA Report
End-to-end analysis of a public dataset with cleaned pipeline and stakeholder dashboard.
Loan-Default Predictor
Boosted model with leakage checks, calibration and a written risk memo.
Review Insights Engine
NLP pipeline extracting themes and sentiment with an LLM summary layer.
Sales Forecast Dashboard
Time-aware forecast with Streamlit UI and documented assumptions.
// 04 — fit_check
Who this is for
- Students targeting data scientist roles
- Analysts upgrading to ML
- Engineers moving into data
- Professionals who love statistics and code
Prerequisites
Class-12 maths comfort. No prior coding required — Python is taught from zero.
// 05 — deep_dive
Course details
Become a job-ready data scientist in 6 months
The Data Science course at Coding Guru, Indore, builds you from Python basics to machine-learning models you can defend in interviews — with honest evaluation habits and dashboards stakeholders understand.
Small classroom batches, weekly code reviews and monthly demos keep you accountable. Your portfolio will show cleaned data, tuned models and written memos — the combination hiring managers trust.
How you will learn
Classroom teaching plus long labs: pandas drills, SQL practice, stats clinics and ML debugging sessions. Mentors review notebooks line by line. The capstone pairs a deployed dashboard with a written findings report.
Career support
SQL/ML mock interviews, guesstimate practice, resume quantification and placement drives. {{TESTIMONIAL_DS_1}} {{PLACEMENT_STATS}}
// 06 — faq
Frequently asked questions
What is the fee of the data science course in Indore?
Fees depend on batch timing and payment plan. Contact us for the current written fee structure with no hidden charges.
Is placement provided after the data science course?
Yes — resume reviews, mock interviews and referral drives are included. Hiring depends on your projects and interview performance.
Is the course online or offline?
Offline classroom bootcamp in Indore with mentor-led labs and hybrid doubt support.
Who is eligible for the data science course?
Students and professionals comfortable with basic maths. Coding is taught from scratch.
Do I get a certificate?
Yes, after completing the syllabus, projects and assessments.
What job roles follow this course?
Data scientist (junior), ML associate, data analyst (advanced) and AI data roles.
What salary can I expect after the course?
Salaries vary by city, company and skill proof. We never promise fixed packages; mentors share market ranges in counselling.
Do I need prior coding experience?
No. Python, SQL and statistics are all taught from foundations with daily lab practice.
// 07 — enquire
Book a free demo class
Seats per batch are limited. Get a callback from our Indore counsellor.
$ ./book_demo --free
Start your coding journey
Visit our Indore classroom, meet the mentors, get honest career guidance.
Book Free Demo> course: data-science > duration: 6 months > fees: Enquire for fees > next batch: October 2026_
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