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Data Science Classes in Wagholi 2026 — Python + ML + AI + GenAI (Near Kharadi)

Python, Pandas, scikit-learn, PyTorch, GenAI/LangChain, Power BI. 5 min from Kharadi IT corridor. Direct placement intros to Infosys BPO, Zensar, Synechron, HSBC Tech, Barclays, and CitiBank Kharadi.

WhatsApp 7774002496 Call 70391 69629

Which institute is best for Data Science in Wagholi, Pune?

ABC Trainings offers Data Science in Wagholi, Pune, with the course scope and centre details listed on this page. Confirm the live centre, trainer, delivery mode, timetable and complete written fee before paying.

Data Science classes at ABC Trainings Wagholi put you 5 minutes from the Kharadi IT corridor — home to Infosys BPO, Zensar, Synechron, HSBC Technology, Barclays, Sopra Steria, and CitiBank Technology. The 200-hour program covers Python, Pandas, SQL, statistics, classical ML (scikit-learn, XGBoost, SHAP), Deep Learning (PyTorch, transformers), GenAI applications (LangChain, RAG, vector DBs), Power BI dashboards, and MLOps fundamentals — ending with a live-deployed capstone project. Evening (7 PM – 9 PM) and weekend batches are designed for working professionals at Kharadi offices who want to transition into data science or ML roles without relocating.

TL;DR

  • • 200 hours · 5 months full-time / 7 months evening · Wagholi center + recordings
  • • Stack: Python, Pandas, scikit-learn, XGBoost, PyTorch, GenAI/LangChain, MLflow, Power BI
  • • 5 min from Kharadi IT corridor — Infosys BPO / Zensar / Synechron / HSBC / Barclays / CitiBank
  • • Capstone: end-to-end ML project deployed live on cloud with monitoring + drift detection
  • • CMYKPY ₹10K/month stipend for fresh Pune graduates aged 18-35

Is Data Science in Wagholi right for you?

A strong Data Science page should help you choose the right path, not just list Python and AI tools. This course is built for learners who want practical proof for Kharadi analytics, ML, GenAI and data roles.

Best for

Engineering, BCA, BSc, BCom, MBA and working professionals near Wagholi, Kharadi and EON IT Park who want analytics, ML, GenAI or data-engineering roles.

You should know

You do not need advanced coding or strong math at entry. Python, SQL, statistics and business problem framing are built step by step before ML and GenAI.

You will leave with

A GitHub-ready data portfolio, Power BI dashboard, ML model notebook, GenAI/RAG project, deployment notes and interview talking points for Kharadi recruiters.

10-Module Syllabus

  1. 1Python for data — NumPy, Pandas, broadcasting, vectorisation, IO from CSV/Parquet/SQL, virtual envs
  2. 2SQL deep-dive — joins, window functions, CTEs, query optimisation on PostgreSQL and MySQL
  3. 3Statistics + probability — distributions, hypothesis testing, A/B test design, confidence intervals
  4. 4EDA + visualisation — matplotlib, seaborn, Plotly Dash, Power BI dashboards for Kharadi BFSI clients
  5. 5Classical ML with scikit-learn — regression, classification, clustering, feature engineering, pipelines
  6. 6XGBoost / LightGBM + Optuna hyperparameter tuning + cross-validation and SHAP explanability
  7. 7Deep Learning with PyTorch — CNNs, RNNs/LSTMs, transformers, fine-tuning HuggingFace models
  8. 8GenAI for engineers — LLM apps with LangChain, RAG pipelines, vector DBs (pgvector/Pinecone), embeddings
  9. 9MLOps essentials — MLflow experiment tracking, FastAPI model serving, Docker, CI/CD for ML pipelines
  10. 10Capstone — end-to-end ML project deployed live on cloud with monitoring, drift detection, model API

Data Science portfolio proof for Kharadi interviews

Hiring teams want evidence: clean data, a clear model choice, measurable results, business interpretation and the ability to explain limitations. Each project is built so it can be reviewed quickly by a recruiter or technical interviewer.

Analytics + dashboard project

SQL extraction, Python cleaning, EDA, KPI definition and a Power BI dashboard for a BFSI, HR, sales or operations scenario relevant to Kharadi teams.

Machine-learning capstone

Feature engineering, model comparison, cross-validation, SHAP explanation, performance metrics and a business recommendation that can be defended in interviews.

GenAI/RAG application

LangChain workflow, embeddings, vector database, retrieval evaluation and FastAPI or notebook demo showing how the AI answer is grounded in source data.

Kharadi IT Corridor Recruiters

CompanyLocationRole
Infosys BPOKharadi, Pune (5 min walk)Data Analyst, Python Developer — analytics CoE
Zensar TechnologiesKharadi, PuneData Scientist, ML Engineer
SynechronKharadi, PuneData Science — BFSI analytics, risk modelling
HSBC Technology IndiaKharadi, PuneData Engineer, ML Analyst — banking analytics
Barclays Shared ServicesKharadi, PuneData Scientist — credit risk, fraud detection
Bridge i2i AnalyticsWagholi / KharadiAnalytics Consultant — supply chain ML
Sopra SteriaKharadi, PuneData Engineer, Python/SQL Developer
CitiBank TechnologyKharadi, PuneData Analyst — financial analytics, Power BI

Local questions this page answers

Learners search for Data Science, AI, ML, GenAI, institute, classes, placement, fees, evening batches and Kharadi proximity in different words. This single page answers those variations with useful detail instead of thin duplicates.

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Quality checks before placement support

A Data Science lead becomes stronger when the learner can explain the problem, data, model, metric, limitation and business recommendation with confidence.

Counselor maps your background to analytics, data science, ML engineering, GenAI or Power BI before admission.

Trainer reviews every module through notebooks, SQL queries, dashboards, model metrics and explanation quality.

Capstone is checked for recruiter clarity: GitHub repo, README, dataset notes, metrics, dashboard screenshots and deployment path.

Placement support starts after learners can explain the business problem, data cleaning, model choice, limitations and next steps in simple language.

FAQs

How long is Data Science training at Wagholi?

5 months (200 hours) full-time or 7 months evening/weekend. Capstone deployed live before graduation. The Wagholi center is 5 minutes from Kharadi IT corridor — ideal for professionals at Infosys, Zensar, Synechron wanting to upskill without relocating.

What's the prerequisite?

Any graduate. We start from Python basics. Engineering, BCA, BSc, BCom, MBA — all fine. Working professionals at Kharadi offices frequently join the 7 PM evening track.

Do I need strong math?

12th-standard math is enough. Probability, linear algebra, and statistics are taught from scratch in Module 3 before any ML is introduced.

Does the course cover GenAI / LLMs?

Yes — Module 8 covers LangChain, RAG architecture, vector databases (pgvector and Pinecone), and embedding pipelines. We update this module quarterly. The BFSI firms in Kharadi (HSBC, Barclays, Citi) are aggressively hiring for GenAI roles in 2026.

Will I get placed at Kharadi companies?

Our placement team has direct contacts at Infosys BPO, Zensar, Synechron, and HSBC Kharadi. Placement assistance includes Kaggle competition coaching, GitHub portfolio review, mock interviews, and warm intros from the ABC alumni network.

Visit Our Centers

Wagholi (Pune — this center)

1st Floor, Laxmi Datta Arcade, Pune-Ahilyanagar Hwy, Wagholi 412207

📞 Call 70391 69629

Hadapsar (Pune HQ)

1st Floor, Shree Tower, opp. Vaibhav Theater, Magarpatta, Hadapsar 411028

📞 Call 70391 69629

Cidco (Chh. Sambhajinagar)

Kalpana Plaza, opp. Eiffel Tower, N-1 Cidco

📞 Call 70391 69629

Osmanpura (Chh. Sambhajinagar)

S.S.C Board to Peer Bazar Road, near Jama Masjid

📞 Call 70391 69629

Sangli

Shubham Emphoria, Vishrambag

📞 Call 70391 69629
💬 WhatsApp 7774002496

Career Path & Salaries

Data Science careers in Wagholi — roles & pay

Data & AI is one of India's highest-paying, fastest-growing fields. Here is the ladder our program prepares you for.

Data Analyst / BI Analyst

Entry

Cleans and analyses data, writes SQL, builds Power BI dashboards and reports insights to the business.

3.5–7 LPA

Data Scientist

Mid

Builds and validates ML models, runs experiments, turns business problems into predictive solutions.

6–14 LPA

Machine Learning / AI Engineer

Mid–Senior

Trains deep-learning & LLM systems, builds RAG / agent pipelines, deploys models to production (MLOps).

8–20 LPA

Lead Data Scientist / ML Architect

Senior

Owns the data-science roadmap, mentors the team, designs scalable AI architecture and strategy.

18–35 LPA+

Indicative India market ranges (2026) — actual pay varies by city, employer, skills and portfolio. Not a salary or placement guarantee.

Why learn Data Science at ABC Trainings

Published certificate scope

ABC Trainings issues a course completion certificate. Confirm the exact issuing entity and do not assume government, university or vendor recognition unless separately documented.

11+ centers across Maharashtra

Learn offline at a centre near you, live online, or hybrid — weekday, evening and weekend / fast-track batches.

Placement support available

Resume and GitHub portfolio coaching plus mock interviews; confirm any current referral activity and written terms for the exact batch.

Real, project-led training

Mentor-led, hands-on classes; you ship an end-to-end ML/AI capstone deployed live — a portfolio recruiters can open in one click.

Free Career Handbook

Get the free Data Science & AI Demystified handbook

24 pages, no jargon — the full data lifecycle, the 2026 roles & salaries, who is hiring across Maharashtra, and the exact roadmap from beginner to job-ready. Read it free on our site.

Read the free handbook Ask on WhatsAppTalk to a counsellor

One Program · Three Certificates

Choose your AI-Powered Data Science path

Build from Python and data analysis into Machine Learning, Generative AI, SQL and Power BI through six current official course components. Start where you are — step up from a focused Diploma to the Master Diploma AI core, or go all the way with the flagship AI-Powered PG Diploma.

Diploma

Diploma in AI-Powered Data Science

The fast on-ramp — Python, data science and Generative AI.

3 courses 270 hrs Current timetable: confirm
  • Python · 60 hrs
  • Data Science using Python · 150 hrs
  • Generative AI · 60 hrs
Best for: Students and freshers who want a quick, job-relevant entry into data and AI.
Fees on request
Most Popular

Master Diploma

Master Diploma in AI & Machine Learning

The AI and modelling core — Python, Data Science, Machine Learning, Generative AI and SQL.

5 courses 406 hrs Current timetable: confirm
  • Python · 60 hrs
  • Data Science using Python · 150 hrs
  • Machine Learning · 96 hrs
  • Generative AI · 60 hrs
  • SQL · 40 hrs
Best for: Career-switchers targeting Machine Learning / AI Engineer & Data Scientist roles.
Fees on request
Flagship

PG Diploma

AI Powered Data Science

The current signature path — Python, Data Science, Machine Learning, Generative AI, SQL and Power BI.

6 courses 466 hrs Current timetable: confirm
  • Python · 60 hrs
  • Data Science using Python · 150 hrs
  • Machine Learning · 96 hrs
  • Generative AI · 60 hrs
  • SQL · 40 hrs
  • Power BI · 60 hrs
Best for: Learners who want AI modelling plus SQL and Power BI analytics in one current official program.
Fees on request

Course completion certification and placement support are available subject to the current written batch terms. Confirm the trainer, mode, timetable, project brief, support included and complete fee before enrolment.

Inside the Curriculum

6 courses · 466 hours, end to end

From Python foundations to Machine Learning, Generative AI, SQL and Power BI. Course scope and hours follow the current active official records.

1

Python

60 hrs

The programming foundation every data scientist needs.

  • Core syntax, control flow, functions, modules & packages
  • Data structures, file I/O, errors & exceptions, OOP
  • Reference types, threading, GUI & database connectivity
  • A hands-on project to lock in the fundamentals
2

Data Science using Python

150 hrs

From raw data to insight — wrangling, statistics and classical ML.

  • NumPy & Pandas — arrays, DataFrames, groupby, merge, pivot, data wrangling
  • Exploratory Data Analysis (EDA) with real case studies
  • Data visualization — Matplotlib, Seaborn & interactive Plotly
  • Probability, distributions, confidence intervals and case studies
  • Data preprocessing and case-study practice
  • Supervised and unsupervised learning — Naïve Bayes, Random Forest and K-means
  • NLP/WordCloud introduction, forecasting and dimensionality reduction
  • Association-rule mining and project work
3

Machine Learning

96 hrs

Machine-learning foundations, statistics and core algorithms.

  • ML workflow, algorithm families, regression, classification & clustering
  • Classification, anomaly detection, clustering and regression
  • Statistics, data categories, sampling and probability
  • Supervised learning and inferential-statistics foundations
  • Linear regression, logistic regression and decision trees
  • Random Forest and Naïve Bayes classifier
  • Q-Learning introduction and project work
4

Generative AI

60 hrs

LLMs, prompting, APIs, RAG and responsible AI projects.

  • LLMs — tokens, embeddings, pre-training and fine-tuning concepts
  • Prompt engineering & advanced prompting
  • Tokens, embeddings and how LLMs are trained
  • OpenAI-style API requests, JSON handling and context engineering
  • Text, image and multimedia generation workflows
  • Retrieval-Augmented Generation (RAG) and vector-database fundamentals
  • Fine-tuning, LoRA basics, dataset preparation and evaluation metrics
  • AI ethics, hallucinations, bias, privacy and safe deployment
  • Projects: resume analyser, RAG document chatbot and AI content app
5

SQL

40 hrs

Query, model and optimise data at the source.

  • MySQL queries, databases, tables, views and keys
  • Conditions, clauses and JOINs
  • Triggers and aggregation functions
6

Power BI

60 hrs

Turn models into dashboards leaders actually use.

  • Power BI with SQL and Excel
  • Data modelling and relationships
  • Power BI Service and multi-source data connections
  • Real-world case studies and capstone projects

What You'll Master

Skills in the current published curriculum

Data ScienceData AnalyticsBusiness IntelligenceMachine LearningGenerative AILLMsPrompt EngineeringRAGNLPNeural NetworksPredictive AnalyticsForecastingFine-Tuning (LoRA basics)PythonSQLPower BI

Careers This Unlocks

Build an inspectable data & AI portfolio

Data ScientistMachine Learning EngineerAI EngineerData AnalystBusiness Intelligence AnalystData EngineerNLP EngineerAnalytics Consultant

These are target career pathways, not promised jobs. ABC publishes no course-specific placement rate, employer or salary outcome for this current evidence set.

Current official component hours Exact-course learner evidence Downloadable practice datasets

Get the exact fee, EMI options and next batch date for your profile — a free, no-obligation counselling call.

Get fee & batch detailsTalk to a counsellor

Ready to Start?

Free 1:1 30-min counselling. CMYKPY eligibility check on the spot.