JOB-ORIENTED DATA SCIENCE PROGRAM
Data Science Course in Pune with 100% Placement Assistance
Master Python, Machine Learning, AI, Deep Learning, Power BI, SQL and Data Analytics through real-world projects, live training and placement-focused mentorship.
500+
100+
50+
4.8
Data Science & Data Analytics in Pune
Why Choose Data Science & Analytics?
Data is everywhere, from the apps you use to the companies you admire and those who can analyze and interpret it are shaping the future. That’s why careers in Data Analytics and Data Science are among the fastest-growing in IT.
At Teknowell, we don’t just teach you tools; we train you to think like a data professional. From Excel, SQL, and Power BI in Data Analytics to Python, Machine Learning, and AI in Data Science, our programs are designed to make you job-ready with real projects, case studies, and placement support.
If you love numbers, patterns, and problem-solving, this is where your future begins.
Courses Available
- Data Analytics Course
- Data Science (AI/ML/DL) Course
Why Choose Us
Why Students Choose Teknowell in PCMC
Learn Data Analytics, Machine Learning & AI with Teknowell’s practical Data Science courses in Pune.
Industry-Oriented Syllabus
Updated curriculum covering MERN Stack, Java, Python, APIs, Docker, AWS, and DevOps aligned with what companies actually hire for in 2026.
Mock Interviews
Simulated technical and HR interview rounds based on actual hiring formats. Practise until you're confident. Not just prepared interview preparation guidance is included.
Resume Building
ATS-optimized resume crafting with portfolio guidance.
Internship Opportunities
Gain real company exposure through internship alongside your training, not after. Graduate with documented project experience on your resume from day one.
Hands-On Live Projects
Build production-grade projects for your portfolio.
Placement Support
Dedicated placement assistance with resume prep, mock interviews, hiring connections, and continued job support. We stay with you through every interview until you land the right role.
Data Science Curriculum in Pimpri Chinchwad
Industry-Oriented Curriculum
Master real-world technologies with practical implementation, projects and industry-focused learning designed to make you job-ready.
30+
Case Studies & Projects
10+
Languages & Tools
280+
Live Session Hours
Subqueries/Nested Queries/Inner Queries
Subqueries in SQL –
Use queries inside another query to retrieve data dynamically.
Stored Procedures & Functions
Stored Procedures –
Automate repetitive tasks using stored procedures in SQL.
Functions –
Create reusable SQL functions for data transformation and manipulation.
Introduction to MySQL (Data Science)
Installation of MySQL server
–MySQL server setup involves downloading, configuring, and starting the database service.
Download sample database
–Sample databases help practice SQL queries with predefined data.
Load sample database to work.
–The sample database must be imported into MySQL before executing queries.
JOINS (Data Science)
What are Joins? –
Joins combine data from multiple tables based on related columns.
Inner Join –
Returns only matching records from both tables.
Outer Join –
Returns all records from at least one table, including unmatched ones.
Left Join –
Retrieves all records from the left table and matching records from the right.
Right Join –
Retrieves all records from the right table and matching records from the left.
Self Join –
A table is joined with itself using aliases.
DML/DDL
DML: Insert –
The INSERT statement adds new records to a table.
DML: Update, Delete –
The UPDATE statement modifies existing records, while DELETE removes them.
DDL: Create Table –
The CREATE TABLE statement defines a new table structure.
DDL: Alter: Add, Drop, Modify –
The ALTER TABLE statement modifies existing table structures.
DDL: Drop Table, Truncate, Delete –
DROP removes a table, TRUNCATE clears all data, and DELETE removes specific rows.
DCL: Data Control Language
What is Python?
Python is a high-level, interpreted programming language known for its simplicity and versatility.
History of Python –
Python was created by Guido van Rossum in the late 1980s and first released in 1991.
Features of Python –
Python is easy to learn, dynamically typed, and supports object-oriented, procedural, and functional programming.
Applications of Python –
Python is used in web development, data science, automation, machine learning, and more.
Introduction to Python (Data Science)
✓ Introduction to Angular
✓ Angular Components
✓ Component Communication
✓ Data Binding
✓ Pipes & Strong Typing
✓ Directives
✓ Services & Dependency Injection
✓ RxJS & API Calling
✓ Routing & Navigation
✓ Angular Forms
✓ Angular Signals
✓ Building & Deployment with CLI
Setting Up the Environment
Installing Python –
Python can be installed from the official Python website and configured for development.
Using IDEs (PyCharm, VS Code, Jupyter Notebook) –
Different IDEs provide tools and features to enhance Python coding efficiency.
Running Python Scripts –
Python scripts can be executed using the terminal, command prompt, or an IDE.
Basic Syntax (Data Science)
Python Indentation –
Indentation is crucial in Python as it defines code blocks instead of braces.
Comments and Docstrings –
Comments (#) explain code, while docstrings (“”” “””) document functions and modules.
Variables and Data Types –
Variables store data, and Python supports types like int, float, string, and boolean.
Python Basics
Data Types and Variables –
Python supports various data types such as integers, floats, strings, and complex numbers.
Numbers (int, float, complex) –
Numeric data types include integers, floating points, and complex numbers.
Strings (operations, methods, formatting) –
Strings support slicing, concatenation, and formatting using different techniques.
Booleans –
Booleans (True and False) are used for logical operations and conditions.
Choose Your Career Path
Choose The Right Technology Program For Your Career Growth
Data Analytics Course in Pune
Duration: 6 Months
A lot of students entering the data field don’t want to start with heavy programming or complex Machine Learning concepts immediately. That’s where Data Analytics becomes a good starting point.
This course focuses more on understanding business data, creating reports, building dashboards, and finding useful insights from raw information.
Companies today rely heavily on reports and dashboards for decision-making, so tools like Excel, SQL, Power BI, and Tableau are widely used across industries.
Instead of only learning theory, students work on practical exercises and reporting projects throughout the training.
Tools Covered
- Excel
- Advanced Excel
- SQL
- Power BI
- Tableau
Students also learn:
- Dashboard creation
- Data visualization
- Reporting techniques
- Data cleaning basics
- Business insights
- KPI reporting
A lot of non-technical students usually start with Data Analytics first because the learning curve feels easier compared to advanced AI and Machine Learning training.
Good Fit For
- Beginners entering the data field
- Non-technical students
- Business-focused roles
- Reporting and dashboard careers
- Students interested in analytics
Career Opportunities
- Data Analyst
- Business Analyst
- Reporting Analyst
- Power BI Developer
- Tableau Developer
Data Science Course in Pune (AI/ML/DL)
Duration: 9 Months
Data Science goes deeper into Machine Learning, AI, prediction models, and data-driven problem solving.
This is usually the course students choose when they want more technical roles and stronger programming exposure.
Machine Learning may sound complicated initially, but once students start working on datasets and projects, the concepts become much easier to understand.
In this course, students learn Python, data handling, Machine Learning basics, AI concepts, and predictive analytics through practical implementation instead of only theory-heavy sessions.
Technologies Covered
- Python
- Pandas
- NumPy
- Machine Learning
- Deep Learning
- AI Basics
- Data Visualization
- Predictive Modeling
Students work on:
- Real datasets
- Prediction projects
- Model training basics
- Data preprocessing
- Visualization workflows
A lot of companies today use these technologies for:
- Customer analysis
- Forecasting
- Recommendation systems
- Automation
- Business intelligence
Good Fit For
- Students interested in AI and Machine Learning
- Programming-focused learners
- Technical career paths
- Predictive analytics roles
- Advanced data careers
Career Opportunities
- Junior Data Scientist
- Machine Learning Associate
- AI Analyst
- Data Science Associate
- Predictive Analytics Associate
WHY DATA SCIENCE
The Career Every Recruiter In Pune Is Hiring For
Data Science is one of the fastest-growing and highest-paying career paths in Pune, Hinjawadi and PCMC’s IT ecosystem. Companies across industries are actively hiring professionals skilled in AI, Machine Learning and Data Analytics.
#1 Job Trend In India
Data Science, AI and Analytics roles continue to dominate hiring trends across India’s leading technology hubs.
High Demand
₹8–28 LPA Salaries
Skilled Data Scientists, AI Engineers and Analytics Professionals command premium salary packages.
Top Pay
Every Industry Hires
Banking, Healthcare, Retail, Manufacturing, IT and Startups all rely on Data Science talent.
All Sectors
Future-Proof Career
Learn Artificial Intelligence and Machine Learning skills that will power the next generation of businesses.
AI Ready
LEARNING PATH
From Beginner To Job-Ready Data Scientist In 6 Structured Stages
Follow a step-by-step roadmap designed by industry experts. Master Data Science, Machine Learning, AI, Analytics and placement-ready skills through practical projects and mentorship.
01
Foundations & Mathematics For Data Science
Build strong fundamentals in statistics, probability, linear algebra and analytical thinking required for a successful Data Science career.
02
Python & SQL Programming
Master Python, Pandas, NumPy and SQL for data cleaning, transformation and database management.
03
Data Analytics & Visualization
Create interactive dashboards using Excel, Power BI and Tableau while learning business intelligence concepts.
04
Machine Learning
Learn regression, classification, clustering and model evaluation techniques using Scikit-Learn.
05
Artificial Intelligence & Generative AI
Explore neural networks, NLP, prompt engineering, LLMs and modern AI applications.
06
Capstone Project & Placement Preparation
Build real-world projects, strengthen your portfolio, prepare for interviews and get placement assistance.
CAREER READY
Ready to Start Your Career in Data Science?
Master industry-ready technologies with live projects, practical training and placement support designed for real-world success.
Our Placed Students
Our graduates have secured placements in leading companies with strong career growth opportunities.
Akash Sawant
Software Developer
HIRED BY
Infrabeat Technologies Pvt Ltd
Manjiri Chaudhari
Software Developer
HIRED BY
Infrabeat Technologies Pvt Ltd
Deependra Rawat
Associate Data Analyst
HIRED BY
Teknoverse IT Solutions
Kalpesh Sonawane
Project Engineer
HIRED BY
Wipro
Preeti Shinde
Software Developer
HIRED BY
Cloud Booking Software
Pranav Kate
Software Developer
HIRED BY
ITCube
🚀 1500+ Students Already Trained & Growing • 💼 Hundreds of Success Stories • ✨ Yours Could Be Next
500+ Hiring Partners
Top global firms across startups, IT services & product companies.
Why Choose Data Science Training in Pune | Teknowell
What Students Usually Like
✔ Practical assignments✔ Real project exposure
✔ Beginner-friendly teaching
✔ Industry-oriented learning
✔ Flexible batch timings
✔ Placement preparation support
✔ Online and classroom options
These courses are suitable for:
✔ College students✔ Fresh graduates
✔ Working professionals
✔ Career switchers
✔ Beginners entering the data field
Flexible Learning options
Students can choose learning modes based on their schedule and convenience.Available Options
✔ Classroom training in Pune✔ Online live training
✔ Weekday batches
✔ Weekend batches
Students also receive:
✔ Assignments✔ Coding practice
✔ Project guidance
✔ Interview preparation support
COMMON QUERIES
Frequently Asked Questions
Everything you need to know about Teknowell Data Science Course.
Which is better for beginners: Data Analytics or Data Science?
Answer:
Most beginners usually start with Data Analytics because it feels easier initially and involves less technical complexity compared to Machine Learning and AI.
Is coding required for Data Science?
Answer:
Basic programming helps, especially Python, but beginners can still learn gradually through guided practical training.
Which tools are covered in the Data Analytics course?
Answer:
Students learn Excel, SQL, Power BI, Tableau, reporting, dashboard creation, and visualization techniques.
Does the Data Science course include Machine Learning?
Answer:
Yes. Students learn Machine Learning basics, predictive analytics, AI concepts, and practical model implementation.
Are projects included during training?
Answer:
Yes. Students work on practical datasets and projects throughout the course.
Do you provide placement assistance?
Answer:
Yes. Students receive support for resumes, interviews, portfolios, LinkedIn optimization, and project presentations.