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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

  • Basic computer knowledge — ability to use a laptop or desktop comfortably
  • No prior programming or coding experience required — Python is taught from scratch
  • No advanced mathematics background required beyond high school level
  • A laptop with at least 8GB RAM (16GB recommended for Deep Learning modules)
  • Genuine interest in working with data and solving analytical problems
  • Commitment to practicing 2–3 hours daily outside of class sessions
  • Testimonials: Hear From Our Happy Students

    Discover why we’re the top choice! Dive into our reviews and see why students love us. Join us today and experience excellence firsthand!

    The Voice of Success: Explore Our Student Testimonials

    Meera Sharma
    Meera Sharma
    The Data Science course at Cambridge Infotech was exactly what I was looking for. I had no coding background when I joined, and the trainers were extremely patient in walking through every concept step by step. The Python and Pandas modules built my confidence early on, and by the time we reached Machine Learning, everything connected beautifully. I landed a Data Analyst role within 6 weeks of completing the course.
    Aravind Kumar
    Aravind Kumar
    I was a mechanical engineer looking to switch into the data field and had no idea where to start. This course gave me the complete foundation I needed — from Python basics all the way to Deep Learning. The Machine Learning section was particularly strong, covering both supervised and unsupervised techniques with real projects. The trainers never rushed through topics and always made sure everyone in the batch was keeping pace.
    Pooja Venkatesh
    Pooja Venkatesh
    Cambridge Infotech's Data Science program is genuinely hands-on. Every module had practical exercises, and the EDA project helped me understand how data analysis actually works in a business context. The Statistics section was very well structured and not as intimidating as I expected. The placement team was proactive and helped me land interviews at two top companies within a month of completing the course.
    Lakshmi Prabha
    Lakshmi Prabha
    I joined the weekend batch while managing my full-time job, and the schedule was perfectly suited for working professionals. The curriculum is very well structured — each pillar builds on the previous one so nothing feels disconnected. The Deep Learning modules on CNNs and RNNs were my personal highlight. Excellent trainers and a very supportive learning environment throughout the entire course.
    Siddharth Rao
    Siddharth Rao
    Best decision I made this year. The Data Science course at Cambridge Infotech covered everything comprehensively — from Python and NumPy all the way to Deep Neural Networks and model deployment with Streamlit. Every concept was backed by a hands-on exercise or real project. The Web Scraping module was an unexpected bonus that made my skillset stand out noticeably in interviews.
     Kavitha Suresh
    Kavitha Suresh
    I had taken a few online courses before, but this instructor-led program at Cambridge Infotech was on a completely different level. The trainers have genuine industry experience and teach using real examples from actual data projects. The Statistics and ML sections were very practically oriented. The capstone project gave me something solid to show in interviews, and the placement team was extremely active and helpful throughout.
    Rohan Mehta
    Rohan Mehta
    The Data Science course here is genuinely comprehensive. In six months, I went from knowing almost nothing about Python to being able to build and deploy Machine Learning models independently. The Deep Learning section was intense but incredibly rewarding. The instructors are knowledgeable, approachable, and genuinely invested in each student's success. I would recommend this course without any hesitation to anyone serious about a data career.
    Sneha Gupta
    Sneha Gupta
    The Data Science course at Cambridge Infotech was very well organized and informative. The instructor’s approach to teaching made the material easy to understand and the hands-on projects were excellent for real-world application.
    Abhishek Joshi
    Abhishek Joshi
    I had a great experience with the Data Science course at Cambridge Infotech. The instructor was very knowledgeable and provided valuable insights into front-end development. The hands-on projects were challenging but helped me understand the concepts better.
    Kavita Patel
    Kavita Patel
    The Data Science course at Cambridge Infotech was outstanding. The instructor was very engaging and knowledgeable. The course content was thorough, and the practical sessions were extremely beneficial.
    Ajay Nair
    Ajay Nair
    Cambridge Infotech’s Data Science course was a fantastic learning experience. The instructor was excellent and the course materials were very comprehensive. The hands-on projects really helped in understanding the concepts.
    Meena Raj
    Meena Raj
    I highly recommend the Data Science course at Cambridge Infotech. The instructor was very knowledgeable and made the classes engaging. The practical sessions were extremely helpful in applying the concepts learned.
    Vijay Kumar
    Vijay Kumar
    The Data Science course at Cambridge Infotech was very beneficial. The instructor explained the concepts clearly and the practical exercises were very helpful in understanding the material. I feel much more confident in my front-end development skills now.
    Shweta Desai
    Shweta Desai
    I had a wonderful experience with the Data Science course at Cambridge Infotech. The instructor was very knowledgeable and the course content was very relevant. The hands-on projects were challenging but rewarding.
    Rajiv Sharma
    Rajiv Sharma
    The Data Science course at Cambridge Infotech was excellent. The instructor was very engaging and made the classes interesting. The course content was thorough and the practical sessions were extremely helpful.

    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

    Data Science Course Corporate Training

    Join our Corporate Data Science Course to enhance skills and elevate professional effectiveness. Benefit from EMI Options and Placement Assistance.

    Upcoming Batch - Data Science Course in Bangalore

    Join next batch and kickstart your journey. Elevate your communication skills and unlock endless opportunities. Benefit from flexible EMI options and placement support. Enroll now!

     

    05/0/2026

    Mon (Mon-Fri)

    WEEKDAYS BATCH

    10:00 am (IST)

    (Class 1hr - 1:30Hrs)/Per Session

    05/06/2026

    Mon (Mon-Fri)

    WEEKDAYS BATCH

    10:00 am (IST)

    (Class 1hr - 1:30Hrs)/Per Session

    05/07/2026

    Saturday

    WEEKEND BATCH

    10:00 am (IST)

    (Class 4hrs)/Per Session

    Data Science Course in Bangalore Completion Certificate

    Earn a Industry-Recognized Certificate

    Cambridge Infotech Certified Front-End Developer (Digital + Physical)

     Verified LinkedIn Badge (Shareable on profiles)

    Transcript with Skills Breakdown (Python, SQL, Machine Learning, Deep Learning, LLMs, RAG, LangChain, Agentic AI & more)

    Additional Certifications You’ll Earn

    AWS Cloud Basics 

     Git/GitHub Professional

    Power BI / Tableau Fundamentals

    Python for Data Science Certification

    Cambridge Infotech Course Completion Certificate
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    Companies our students are placed in

    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:

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