Data Science Course
Data Science Course in Bangalore
Want to become a successful AI & Data Science professional but lack the right skills? Join our Data Science with Generative AI & Agentic AI Course in Bangalore — master Python, Machine Learning, Deep Learning, LLMs, RAG & AI Agents with 100% placement support and launch your dream career in AI and Data Science.
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Data Science Course info:
Data Science Course in Bangalore
Master Python, Statistics, Machine Learning, Deep Learning & Data Analytics — Bangalore’s Most Job-Oriented Data Science Program
Our Data Science Course in Bangalore is a comprehensive, industry-aligned training program designed for freshers, graduates, working professionals, and career-switchers who want to build a high-paying career in Data Science and AI.
This 292-hour program covers the complete Data Science stack — from Python Programming, NumPy, Pandas, Matplotlib, and Seaborn to Statistics, SQL, Web Scraping, Machine Learning, ML Deployment, and Deep Learning — giving you every skill required to work as a professional Data Scientist in 2026.
You will work on real-world EDA projects, Machine Learning case studies, live SQL databases, Deep Learning applications, and a final capstone project that makes your resume interview-ready from Day 1.
With 100% hands-on practical sessions, industry-expert trainers, project-based learning, placement assistance, and an industry-recognized certificate, this is Bangalore’s most trusted Data Science training program.
Whether you are a complete beginner or a professional looking to upgrade your analytical skills, our flexible online and classroom batches — weekday and weekend — are designed to fit every schedule.
Enroll now and get a Free Demo Class + Data Science Resource Kit!
What is Data Science?
Data Science is the discipline of extracting meaningful insights and business intelligence from raw data using programming, statistics, machine learning, and visualization tools.
Data Scientists help companies make better decisions, build predictive products, automate processes, and understand customer behavior — making it one of the most valuable and highest-paid professions in the world today.
Data Science professionals are needed across every industry — banking, e-commerce, healthcare, media, logistics, and technology.
Why Learn Data Science in 2026?
India’s Data Science and Analytics market is growing at over 30% annually. The demand for skilled data professionals far exceeds supply, creating a massive career opportunity for trained individuals across all experience levels.
Key industry facts:
India has over 97,000 open Data Science job positions as of 2026
Entry-level Data Scientists in Bangalore earn ₹5–10 LPA
Mid-level Data Scientists earn ₹12–22 LPA
Over 70% of Fortune 500 companies have increased their Data Science hiring budgets
Python and Machine Learning remain the top two most-demanded skills in tech job listings
Career Opportunities After This Course
Data Scientist — Analyze complex datasets and build predictive models to drive business decisions. Average Salary: ₹7–18 LPA.
Machine Learning Engineer — Design, train, and deploy ML models in production environments. Average Salary: ₹10–22 LPA.
Data Analyst — Clean, visualize, and interpret data to provide actionable business insights. Average Salary: ₹4–10 LPA.
Business Intelligence Analyst — Create dashboards and reports using data tools for strategic decision-making. Average Salary: ₹5–12 LPA.
Deep Learning Engineer — Build neural network-based applications for image, text, and sequence problems. Average Salary: ₹12–24 LPA.
Data Engineer — Build and manage data pipelines, databases, and infrastructure for analytics teams. Average Salary: ₹8–18 LPA.
Why Choose Cambridge Infotech for Data Science Training?
✔ Comprehensive 11-pillar industry curriculum — from Python to Deep Learning ✔ Experienced trainers with real-world data project backgrounds ✔ 100% practical, project-driven learning in every session ✔ Hands-on EDA, ML, and Deep Learning capstone projects ✔ Resume building, portfolio guidance, and dedicated placement support ✔ Flexible weekday, weekend, online, and classroom batches ✔ Trusted by 10,000+ students across Bangalore
Who Should Take This Course?
→ Freshers & Graduates — B.Tech, BCA, B.Sc., MCA, or any stream looking to enter the Data Science field → Software Developers — Looking to transition into Data Science or ML Engineering roles → Business & Commerce Graduates — Who want to leverage data skills for analytics and strategy → Working Professionals — From IT, finance, marketing, or operations looking to upskill → MBA Graduates — Who want to combine business knowledge with data-driven decision-making → Entrepreneurs — Who want to use data to grow and optimize their businesses
Data Science Course in Bangalore Content
Introduction to Python, Installation, IDEs– 2 Hours
Variables, Data Types, Type Conversion – 2 Hours
Operators and Expressions – 2 Hours
String Manipulation – 2 Hours
Control Flow (Conditional Statements & Loops) – 6 Hours
Lists, Tuples, Sets, Dictionaries – 4 Hours
Functions & Lambda Expressions – 4 Hours
Map, Filter, Reduce – 2 Hours
List Comprehension & Introduction to OOP – 2 Hours
OOP Concepts (Classes, Objects, Encapsulation) – 2 Hours
Inheritance & Polymorphism – 2 Hours
Abstraction (Modules & Packages) – 2 Hours
Case Study – 2 Hours
Exception Handling – 2 Hours
File Handling (File I/O) – 4 Hours
Introduction to NumPy & Array Basics – 2 Hours
Array Creation & Manipulation – 2 Hours
Mathematical & Statistical Functions, Random Numbers – 2 Hours
Array Operations & Broadcasting – 2 Hours
Introduction to Pandas – 2 Hours
Loading Data & Pandas Data Structures – 2 Hours
Indexing, Selecting & Filtering – 2 Hours
Working with Columns – 2 Hours
Aggregations & Grouping – 2 Hours
Sorting & Ranking – 2 Hours
Merging, Joining & Concatenation – 2 Hours
Pivot Tables & Crosstabs – 2 Hours
Data Visualization using Pandas – 2 Hours
Introduction to Matplotlib – 2 Hours
Plotting & Plot Types – 2 Hours
Subplots & Layouts – 2 Hours
Customization, Legends & Annotations – 2 Hours
Introduction to Seaborn & Comparison with Matplotlib – 2 Hours
Categorical & Distribution Plots – 2 Hours
Relational Plots, Heatmaps & Matrix Plots – 2 Hours
Faceting, Styling & Customization – 2 Hours
EDA Hands-on Project – 2 Hours
EDA Hands-on Project – 2 Hours
Descriptive Statistics – 14 Hours
Introduction to Statistics & Data Types – 2 Hours
Measures of Central Tendency – 2 Hours
Measures of Dispersion – 2 Hours
Distribution & Shape of Data – 2 Hours
Data Visualization – 2 Hours
Correlation & Covariance – 2 Hours
Descriptive Statistics in Python – 2 Hours
Inferential Statistics – 14 Hours
Probability Concepts – 2 Hours
Probability Distributions – 2 Hours
Sampling & Central Limit Theorem – 2 Hours
Confidence Intervals – 2 Hours
Hypothesis Testing Basics – 2 Hours
Common Hypothesis Tests – 2 Hours
Inferential Statistics in Python – 2 Hours
Regular Expressions – 4 Hours
Web Scraping - 6 Hours
Hands-on Project – 2 Hours
SQL Basics & SELECT – 2 Hours
ORDER BY, LIMIT, ALIAS – 2 Hours
Aggregate Functions – 2 Hours
GROUP BY – Deep Dive – 2 Hours
String & Date Functions – 2 Hours
JOINs – 2 Hours
Subqueries – 2 Hours
Window Functions – 2 Hours
Set Operations – 2 Hours
Hands-on Project – 2 Hours
Supervised Learning – 30 Hours
Unsupervised Learning – 14 Hours
Feature Engineering & Selection – 4 Hours
Model Creation – 4 Hours
Model Evaluation – 4 Hours
Hyperparameter Tuning – 4 Hours
ML Pipelines – 2 Hours
Streamlit – 4 Hours
Introduction to Deep Learning – 2 Hours
Perceptron – 2 Hours
Activation & Loss Functions – 6 Hours
Optimizers – 6 Hours
Artificial Neural Networks (ANN) – 16 Hours
Convolutional Neural Networks (CNN) – 24 Hours
Recurrent Neural Networks (RNN) – 24 Hours
What you'll learn
- Write Python programs confidently and apply OOP concepts to real data workflows
- Use NumPy for high-performance numerical computing and array-based data manipulation
- Load, clean, transform, and analyze datasets efficiently using Pandas
- Create professional data visualizations using Matplotlib and Seaborn
- Perform complete Exploratory Data Analysis (EDA) on real-world datasets
- Apply Descriptive and Inferential Statistics to interpret data and test hypotheses
- Scrape data from websites using Regular Expressions and Python scraping libraries
- Write complex SQL queries including JOINs, subqueries, window functions, and aggregations
- Build, train, and evaluate Supervised and Unsupervised Machine Learning models
- Apply feature engineering, model selection, and hyperparameter tuning techniques
- Deploy Machine Learning models to production using Streamlit and ML pipelines
- Design and train Artificial Neural Networks (ANN) for classification and regression problems
- Build Convolutional Neural Networks (CNN) for image recognition and computer vision tasks
- Develop Recurrent Neural Networks (RNN) for sequential data and time-series problems
- Build a job-ready Data Science portfolio through real projects and industry case studies
Prerequisites
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Frequently Asked Questions
Got questions? We’ve got answers! Explore our FAQ section to find solutions to common queries. Dive in now!
The course is 292 hours in total, structured across 11 learning pillars covering Python Programming, NumPy, Pandas, Matplotlib, Seaborn & EDA, Statistics, Web Scraping, SQL, Machine Learning, ML Deployment & Pipelines, and Deep Learning. The estimated completion time is 6 months based on your chosen batch schedule.
No. This course is designed to start from absolute basics. Python programming is taught completely from scratch, and the Statistics module begins with foundational concepts. Anyone with basic computer knowledge and genuine willingness to learn can join and succeed in this program — no prior coding or advanced math background is needed.
After completing this course you are qualified for roles such as Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Deep Learning Engineer, and Data Engineer. These are among the most in-demand and highest-paying technology roles in India right now.
Entry-level Data Analysts and Junior Data Scientists in Bangalore typically earn between ₹4–8 LPA. With 1–2 years of experience and a strong portfolio, salaries quickly move into the ₹10–18 LPA range. Deep Learning and ML Engineers typically earn ₹12–22 LPA at the mid-level.
Yes. The program includes dedicated hands-on projects in EDA, Machine Learning, SQL, and Deep Learning, along with a final capstone project. All projects are based on real-world datasets and business scenarios that are directly relevant to job interviews and professional work.
You will get hands-on experience with Python, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, SQL, TensorFlow, Keras, Streamlit, and Jupyter Notebooks. You will also learn web scraping using BeautifulSoup and Regular Expressions for real-world data collection tasks.
Yes. The Machine Learning pillar is 60 hours long and covers Supervised Learning (30 Hours), Unsupervised Learning (14 Hours), Feature Engineering & Selection, Model Creation, Model Evaluation, and Hyperparameter Tuning — making it one of the most thorough and practical ML training sections available in Bangalore.
Yes. Cambridge Infotech provides dedicated placement assistance including resume building, Data Science portfolio guidance, LinkedIn profile optimization, mock interview preparation, and direct connections with our network of hiring partners across Bangalore and India's major tech hubs.
Yes. We offer flexible learning options including online live instructor-led training, classroom training at our Bangalore centre in Kalyan Nagar, and both weekday and weekend batch schedules. You can choose the format and timing that best suits your personal and professional
- Course level :
- Course Duration: :
- Enrolled:
- Last Updated:
- All Levels
- 292h
- 4473
- May 23, 2026
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Data Science Course in Bangalore Completion Certificate
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Transcript with Skills Breakdown (Python, SQL, Machine Learning, Deep Learning, LLMs, RAG, LangChain, Agentic AI & more)
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Companies
our students are placed in
The companies our students are placed in are a testament to the excellence of our program. Our education equips students with the skills and knowledge necessary to succeed in these top-notch organizations. Take a look at where our graduates have landed: