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LIVE, TRAINER-LED LEARNING

Data Science Training in Bangalore

Build a career in data science with our Data Science Training in Bangalore. Master Python, Statistics, Machine Learning, Deep Learning, NLP, and Tableau through live trainer-led sessions and hands-on projects.

6 MonthsAdvancedOnline & ClassroomEnglishCompletion certificate
  • Write Python scripts for data manipulation using Pandas and NumPy.
  • Apply statistical concepts including probability, sampling, and hypothesis testing.
  • Build machine learning models using supervised learning algorithms.
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BUILD YOUR FOUNDATIONS

This Data Science Training in Bangalore at eMexo Technologies is designed for learners who want to build a career in data science and machine learning. This 6-month program takes you from Python programming and statistics to advanced machine learning, deep learning, NLP, and big data technologies.

Why Learn Data Science in Bangalore?

Bangalore is India's data science capital. From startups building recommendation engines to enterprises deploying predictive models, the demand for skilled data scientists is at an all-time high. This course is mapped directly to the skills these employers look for.

Our Learning Approach

We do not just teach theory. Every module is built around hands-on labs and real datasets. You will write Python code, clean data, train machine learning models, and build dashboards. The course is designed so you learn by building, not just by watching.

Core Data Science Skills

The syllabus begins with Python for Data Science, covering data structures, functions, file handling, and libraries like NumPy, Pandas, and Matplotlib. You then move into statistics: descriptive statistics, probability, sampling, and hypothesis testing. These are the foundations every data scientist needs.

Machine Learning and Deep Learning

Modules 23 through 45 cover machine learning in depth: linear regression, logistic regression, decision trees, random forest, KNN, SVM, and clustering. You then progress into deep learning, including neural networks, CNN, and RNN, using TensorFlow and Keras.

NLP, Big Data, and Deployment

Modules 46 through 69 cover NLP, big data concepts, Spark, and AI applications. You also learn SQL and Power BI for data analysis and visualization. Module 65 covers deployment and MLOps, so you can take your models to production.

Classroom and Online Availability

We understand that travelling across Bangalore traffic is challenging. That is why we offer this course both in a live classroom format at our Electronic City center (easily accessible from Silk Board, HSR Layout, and Whitefield) and as a live online interactive session. Both modes get the same trainer, the same live labs, and the same project support.

What you’ll learn

  • Write Python scripts for data manipulation using Pandas and NumPy.
  • Apply statistical concepts including probability, sampling, and hypothesis testing.
  • Build machine learning models using supervised learning algorithms.
  • Implement unsupervised learning techniques like K-Means and Hierarchical Clustering.
  • Build deep learning models using TensorFlow and Keras.
  • Perform NLP tasks including text preprocessing and sentiment analysis.
  • Work with big data technologies including Hadoop and Spark.
  • Write SQL queries for data extraction and analysis.
  • Build interactive Power BI dashboards.
  • Deploy machine learning models using Flask and FastAPI.

Before you start

  • Basic programming knowledge is an added advantage.
  • Mathematics and statistics fundamentals are helpful.
  • Database fundamentals are helpful.
  • No prior experience required; beginners are welcome.
  • A laptop with a stable internet connection.

Your IT career starts here

Get guidance on resume preparation and interviews alongside your course.

Talk to a course advisor

Upcoming online & classroom batches

New batch dates are being confirmed. Request a demo to discuss your availability.

Can’t find a batch that works for you?

Tools Covered

  • Python
  • NumPy
  • Pandas
  • Matplotlib
  • Scikit-learn
  • TensorFlow
  • Keras
  • NLTK
  • MySQL
  • Power BI
  • Tableau
  • Jupyter Notebook

Who should take Data Science Course?

  • Software engineers transitioning to data science.
  • Fresh graduates who want to start a career in data science.
  • System administrators moving into data roles.
  • Analytics professionals who want to learn machine learning.
  • Big Data professionals who want to add data science skills.
  • Professionals preparing for Data Scientist and ML Engineer interviews.

Data Science Career Roles

After completing this Data Science course in Bangalore, you can prepare for high-demand roles in data science, machine learning, and analytics. Salary figures reflect typical Bangalore market ranges and are not a guarantee of your pay.

Designations
₹8,00,000/Year
Min
₹15,00,000/Year
Average
₹25,00,000/Year
Max
Annual Salary
  • Amazon
  • CHIMERA
  • IBM
  • Infosys
  • NEXTGEN AI
  • Microsoft
  • Deloitte
  • Google
  • HP

Hiring Companies

What’s included?

6 Months of Live Data Science Training

Complete Data Science Master Program with live online and classroom classes at our Electronic City, Bangalore center.

89 Modules Covering the Full Data Science Stack

From Python and Statistics to Machine Learning, Deep Learning, NLP, and Big Data, the curriculum is designed to match current industry job descriptions.

Real-World Projects and Datasets

Work with real datasets and build projects that you can show in interviews. Projects include customer churn prediction, sales forecasting, sentiment analysis, and image classification.

Python, SQL, and Machine Learning Skills

Strengthen your technical foundation by learning how to manipulate data with Python, retrieve information using SQL, apply statistical methods, and build Machine Learning models.

Small Batches of 5-6 Learners

Get personalized attention in every session. The trainer reviews your code, debugs your models, and ensures you understand each concept.

Tests and Certification

Take assessments and earn an eMexo Technologies course completion certificate that can be verified online.

YOUR LEARNING PATH

Course curriculum

89 modules
01PYTHON FOR DATA SCIENCE8 topics
  • Introduction to Python for Data ScienceLive Class
  • Why Python for Data Science?Live Class
  • Advantages over other languages (R, Java, etc.)Live Class
  • Industry use casesLive Class
  • Python Setup & EnvironmentLive Class
  • Installing Python (Anaconda, Miniconda)Live Class
  • Using Jupyter Notebook, Google ColabLive Class
  • Python interpreters & IDEs (PyCharm, VS Code, Spyder)Live Class
02Python Fundamentals6 topics
  • Python syntax, indentation, and commentsLive Class
  • Variables and data types (int, float, string, boolean)Live Class
  • Type casting (implicit & explicit)Live Class
  • Operators: Arithmetic, comparison, logical, assignment, membership, identityLive Class
  • Input & output functionsLive Class
  • Hands-on: Simple calculator programLive Class
03Data Structures in Python6 topics
  • Lists – creation, indexing, slicing, adding/removing elements, list comprehensionsLive Class
  • Tuples – immutability, tuple unpackingLive Class
  • Sets – uniqueness, set operations (union, intersection, difference)Live Class
  • Dictionaries – key-value pairs, CRUD operations, loopingLive Class
  • Nested data structuresLive Class
  • Hands-on: Unique word extraction from a paragraphLive Class
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PUT IT INTO PRACTICE

Projects you’ll work on

PROJECT 01

Customer Churn Prediction with Classification

Build a machine learning model to predict customer churn using classification algorithms. Learn data preprocessing, feature engineering, and model evaluation.

PROJECT 02

Sales Forecasting with Time Series

Analyze historical sales data and build a forecasting model using time series techniques. Learn trend analysis, seasonality, and predictive modeling.

PROJECT 03

Sentiment Analysis on Product Reviews

Build an NLP model to analyze customer sentiment from product reviews. Learn text cleaning, feature extraction, and classification algorithms.

PROJECT 04

Image Classification with CNN

Build a convolutional neural network (CNN) to classify images using TensorFlow and Keras. Learn data augmentation, model training, and evaluation.

PROJECT 05

Interactive Power BI Dashboard

Build an interactive business dashboard using Power BI. Learn data modeling, DAX functions, and visualization best practices.

RECOGNISE YOUR PROGRESS

Gain a course completion certificate

EMEXO TECHNOLOGIESCERTIFICATE OF COURSE COMPLETIONThis certificate of completion is hereby granted toYour Namefor successfully completing the training inData Science ProgramCompletion date and certificate number appear on the issued certificate.SAMPLE · FOR ILLUSTRATION ONLY

eMexo Technologies Course Completion Certificate in Data Science This certificate confirms you completed the 6-month Data Science training program at eMexo Technologies. It is a course completion certificate, not a vendor certification. Data Science is a field, not a single product. Your eMexo certificate demonstrates course completion and practical project experience.

LEARN WITH GUIDANCE

Your instructor

Vinay

Vinay is a Senior Data Scientist and Corporate Trainer at eMexo Technologies with over 13+years of industry experience. He specializes in Data Science, Machine Learning, Deep Learning, NLP, Power BI, and Tableau. Having successfully mentored 850+ batches of learners, from fresh graduates to working professionals, he focuses on practical implementation, real-world use cases, and the reasoning behind each algorithm. His sessions prepare you for the exact technical questions data science interviews ask.

A SIMPLE START

How to join

  1. 01

    Tell us about your goals

    Send an enquiry or application so we can understand your interests.

  2. 02

    Discuss the course and schedule

    Review the curriculum, prerequisites, learning format, and fees with our team.

  3. 03

    Confirm your batch

    Choose a suitable batch and complete enrolment with our admissions team.

PLAN YOUR NEXT STEP

Course fees

Course fee
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LEARNER EXPERIENCES

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YOUR QUESTIONS, ANSWERED

Frequently asked questions

I live in Whitefield. Can I attend the Data Science course without travelling to Electronic City every day?

Yes. We offer live online sessions that are identical to the classroom experience. You can interact with the trainer, share your screen, and work on Python and SQL labs from anywhere in Bangalore. The classroom option is available at our Electronic City center if you prefer in-person learning.

How is this Data Science course different from a basic Python or Machine Learning course?

A basic course teaches one tool. This program teaches the complete data science workflow. You learn Python, Statistics, SQL, Machine Learning, Deep Learning, NLP, and Power BI, and how to connect them to solve real business problems. The focus is on end-to-end data science, not isolated skills.

Will I build a portfolio that I can show to employers?

Yes. You will complete five hands-on projects, including customer churn prediction, sales forecasting, sentiment analysis, image classification, and a Power BI dashboard. These projects become concrete talking points in your interviews.

What kind of job roles can I apply for after this course?

You can apply for Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, NLP Engineer, and Business Analyst roles. The course is mapped to the skills employers in Bangalore list for these positions.

Does this course prepare me for any certification exam?

This course prepares you with practical, job-ready skills. eMexo provides a course completion certificate. There is no single vendor certification for Data Science. If you want to pursue vendor certifications like AWS Certified Machine Learning or Microsoft Azure AI Engineer, we can guide you on the exam path, but those exams are taken separately.

Why eMexo

Why Choose eMexo for Data Science Training in Bangalore?

Trainers Who Build Models for a Living

Our instructors are not full-time teachers; they are active data scientists working on live ML pipelines. They bring real production issues into the classroom and show you how to solve them, not just textbook examples.

Built for Bangalore's Job Market

The curriculum is not generic. It is designed around the exact Python, SQL, Machine Learning, and NLP skills that product companies and startups in Bangalore are hiring for right now.

Interactive Online & Classroom Learning

Whether you attend at our Electronic City center or join from Whitefield via live online sessions, you get the same interactive experience. Share your screen, get live code reviews, and debug models with the trainer in real time.

Resume & Interview Prep Included

We do not just teach code. We help you frame your projects for your resume and conduct mock interviews focused on Machine Learning algorithms, model evaluation, and data storytelling.

Focus on Production-Ready Skills

You will learn how to write code that survives in production. This includes model deployment with Flask and FastAPI, handling missing data, and building scalable data pipelines.

Small Batches, Big Attention

With a strict limit of 5-6 learners per batch, your trainer knows your name, your code, and your weak spots. You get personalized guidance that is impossible in large, crowded lecture halls.

Honest Career Guidance

We will not promise you a job, but we will give you the skills and the confidence to clear the technical rounds. We provide transparent feedback on your progress and readiness for the job market.

Job Assistance for Data Science Roles

Our placement team actively shares relevant openings for Data Scientist, Data Analyst, and Machine Learning Engineer roles across Bangalore, and supports you through the application process.

Data Science Interview Preparation & Mock Interviews

Prepare for Data Science interviews with Python coding exercises, SQL queries, statistics questions, Machine Learning concepts, and project-based interview scenarios. Practise explaining your work to build confidence.

Recorded Data Science Training Sessions

Revisit recorded lessons and practical demonstrations to review Python programming, data analysis, statistics, data visualization, and Machine Learning concepts at your own pace, subject to course access.

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Data Science Course

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