Master Python Full Stack + Data Analysis + Data Science & ML + React JS. The most powerful combo for students targeting Python Developer, Data Analyst, and Data Scientist roles.
Talk to our expert and get your personalized Python+Data learning roadmap.
Python is the bridge between web development and data science. This combo lets you walk both paths confidently.
Four laser-focused phases that build from web development to machine learning — making you hireable across the entire Python ecosystem.
Start with Python from scratch. Build web applications with Django and Flask, design REST APIs, and work with databases. Python is the common thread that runs through all 4 phases.
Transition seamlessly from Python development to data analysis. Use Pandas, NumPy, and visualization tools to extract business insights from real-world datasets.
Step into AI/ML with Python. Build predictive models, work on classification and regression problems, and understand how businesses use ML to solve real challenges.
Build interactive dashboards and data visualization frontends with React. Connect your Django/Flask APIs and your ML models to a beautiful, production-ready UI.
Python dominates both web development and data science. This combo makes you a dual expert — rare, valuable, and highly paid.
Target Python Developer, Data Analyst, and Data Scientist openings simultaneously — tripling your job opportunities after graduation.
Data Scientists and ML Engineers are among the highest-paid IT professionals in India. Adding web dev skills makes you even more hireable.
Create a Django web app, a data analysis dashboard, and an ML model deployed with React — a portfolio that impresses any interviewer.
Unlike other combos, Python is the common language across all four phases — so skills build on each other naturally rather than starting fresh.
Attend from our Pune campuses (Karve Nagar, Deccan, Chinchwad) or from home with the same trainers and placement support.
The Kiran Academy has trained 1.5 lakh+ students and placed 25,000+. Our Python + Data alumni work at top product and service companies.
In today's hiring market, recruiters want candidates who can code, clean data, build dashboards, explain trends, and use AI tools sensibly. This combo should show that students are not only learning syntax; they are learning how to solve real business problems.
Add Excel-to-SQL-to-Python progression, cleaning messy datasets, KPI definitions, dashboard storytelling, joins, aggregations, cohort views, and business decision making.
Strengthen statistics, feature engineering, model comparison, cross-validation, accuracy vs business value, and deployment-friendly ML concepts with practical explanations.
Keep Django or Flask-based development tied to real dashboards, reports, admin portals, and data-backed web applications rather than isolated coding exercises.
Analyze income, expenses, profit trends, customer payments, branch comparisons, and forecasting-style insights with filterable dashboards and export-ready reports.
Track registrations, attendance, tests, mock interviews, company shortlists, and placement outcomes with analyst-friendly reporting and admin workflows.
Build a prediction model, wrap it in a clean Python backend, and present inputs and outputs in a React interface with explainable result summaries.
Target web application, backend, API, and support-development roles using a practical project portfolio.
Target analyst and reporting roles using dashboards, KPI tracking, SQL, and insight storytelling.
Target junior DS, ML support, and analytics-plus-modeling openings with practical ML case studies and deployment confidence.
Guidance on how to clean, analyze, visualize, and explain datasets like a business-facing professional.
Python coding rounds, SQL rounds, Pandas exercises, ML concept interviews, HR rounds, and project presentation practice.
Improve dashboards, notebooks, GitHub repositories, summaries, and presentation flow before interviews begin.
Show that career growth can start immediately with enrollment guidance, financing support, and transparent counselling.
Our placement team works across all three job tracks: Python Dev, Data Analyst, and Data Scientist openings — three chances to get you placed.
We create tailored resumes for Dev, Data Analyst, and Data Scientist roles so you can apply to all three simultaneously.
Python coding, SQL, Pandas challenges, and ML concept interviews — all practiced until you're confident.
Active referrals to our hiring network including data-first companies, startups, and top MNCs.
Guidance on evaluating and negotiating your best offer across multiple job roles and companies.
I came from a non-IT background. The Python combo was perfect because everything connected — I used Python in all 4 phases. Now I'm a Data Analyst earning 3x my previous salary.
The ML deployment module was my favorite — I built a model and deployed it with Flask + React. That project alone got me shortlisted at 5 companies. Placed in 3 weeks after completing.
TKA's trainers are genuinely experienced. Kiran Sir's teaching style made even complex ML algorithms easy to understand. The placement team sent me to 8 interviews — I got 3 offers.
Everything you need to know before joining the Python + Data Combo.
Join The Kiran Academy's Python + Data Combo — the most future-proof job-oriented program for aspiring data professionals.