Data Science Immersive Bootcamp (with Job Guarantee*)

    Become a Data Scientist in 180 days!

  • Get a Guaranteed Job* in Data Science
  • Full time bootcamp with paid internship
  • Live Classes on Data Science, Data Engineering & Cloud Computing
  • 50 Seats Only
    Selection based process
  • Online
    Fulltime
  • 500+ Hours
    of learning
    Early Bird Offer Ends in...
  • days
  • hour
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  • 6 Months
  • Live Instructor
  • Internship from
  • 100%

AVAIL EARLY BIRD OFFER

  • day
  • hour
  • min
  • sec

Get FLAT INR 50,000 OFF on this Program

How Data Science Bootcamp prepares you for a Guaranteed Job in Data Science?

  • Learn in a class & on the job

    Experience theoretical learning in classroom and practical learning during your internship.

  • Data Science, Data Engineering and Cloud Computing

    Become a full-stack data scientist by learning each aspect of the data science ecosystem.

  • Peer Groups and Team Projects

    Take advantage of the holistic learning experience by interacting with peers and team projects

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100% Guaranteed Job*

Being part of this Immersive Bootcamp will Guarantee that you land into your dream data science job
  • Extensive Network of Hiring Partners
  • Get help with Resume and Digital Profile Building
  • Get Consistent Feedback with Technical Mock Interviews
*Terms and Conditions
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The key Challenge that data science aspirants face while applying for data science job is “Lack of Experience” The Data Science Bootcamp comes with a full-time internship. Get the industry exposure to kick-start your data science career.

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Learn Data Science with Paid Internship

  • Become industry-ready and learn on the job with a paid internship
  • Get a stipend of ₹10,000 per month
  • Get to work with the best data scientists from India’s leading Data Science community
  • Learn about latest tools, frameworks, libraries and how to apply them to real-world projects
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Bootcamp 2020 Highlights

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90% Batch Placed

90% batch has been placed with 2 months still remaining for the completion of the batch.

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250% Salary Hike

On average, a bootcamp student saw an increase of 250% salary jump.

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30+ Companies

More than 30 companies have participated in Analytics Vidhya’s hiring drives

Who is the program meant for?

datascience
Fresh Graduates wanting to build career in Data Science

Get the right knowledge and experience required to get your dream data science job.

datascience
Young professionals who want to conquer the world

Deep dive into the world of data science with the right blend of tools, techniques and projects.

datascience
Future Leaders

Transition into data science early on in your career and start young in the world of data science.

Your Roadmap to a Successful Data Science Career

Comprehensive Curriculum vetted by Industry experts

Your Roadmap to a Successful Data Science Career

Comprehensive Curriculum vetted by Industry experts
  • 01

    Program starts along with Paid Internship

  • 02

    Deep Dive into the world of Analytics with Excel and SQL

  • 03

    Master your Storytelling Skills with PowerBI

  • 04

    Polish your Python Coding Skills

  • 05

    Master SQL and NoSQL Databases

  • 06

    Explore the world of data with Statistics and EDA

  • 07

    Machine Learning: From Beginner to Advanced

  • 08

    Build Data Pipelines using Spark, ETL

  • 09

    Understand the Cloud Ecosystem with AWS

  • 10

    Work with Deep Learning models on CV and NLP applications

  • 11

    Deploy your Machine Learning model

  • 12

    Get a Data Science Job!

Languages and Tools covered

Python Pandas Numpy matp Seaborn Scikits Excel Keras Spacy Spark aws SQL Mongodb name

Curriculum

17+ Modules starting from basics like Excel to the most advanced machine learning topics

Introduction to Data Science and understanding the stages of Data Science lifecycle

Overview Data Science and Application

Common terminologies of Data Science

Various roles within Data Science

Essential Stages of Data Science Life Cycle

Organizational challenges while building Data Science projects

Problem Formulation and Framework to choose right problem statement

Hypothesis Building and Framework

How to Build Comprehensive Hypothesis set

Excel Basics, Formulas and Functions

Excel Charts, Pivot Tables, Sort, Filter, What-if Analysis tool

Build business simulation using Excel

Basics of databases

ACID and BASE properties of a database

Working with SQL, Extract data from databases containing multiple tables

Performing Data Analysis using SQL

Loading datasets and establishing table relationships

Work with different type of charts and dashboards

Working with Map visualizations and other advanced charts with drill down functionalities

Working with power query for data manipulation

Writing DAX expressions

Python Basics Programming (Conditional, Looping, Functions)

Pandas, Matplotlib, Seaborn, regular expression, beautifulsoup

Good programming practices (testing, debugging, assertions, exception handling)

Get familiar with functional programming and its use cases

Understand the concepts of Object Oriented Programming (Inheritance, encapsulation)

Learn about version control and working with github

Connecting with databases using python

Public Vs Private Cloud

IaaS vs PaaS Vs SaaS

AWS Global Infrastructure

AWS Compute Services - EC2, AWS Lambda

AWS Storage Services - S3, DynamoDB, RedShift

AWS Security Policies

Monitoring & Analysis - AWS CloudWatch

Univariate, Bi-variate and Multivariate analysis

Work with different type of tests like t-test, z-test, chi-square test, anova

Work with Missing values, outliers, data pre-processing

Learn Important ML Basics Concepts (Train, Test, Validate, Bias , Variance, Overfitting, Underfitting)

Work with Evaluation metrics (Classification and Regression both)

Work with different validation techniques

Perform data cleaning and Preprocessing

Linear Models, Decision Tree, k-NN

Math Behind each Machine Learning Algorithm

Building Classification and Regression Models

Hyperparameter Tuning to improve model

Introduction to unsupervised learning and clustering

Working of clustering algorithms (k-means clustering)

Evaluation metrics for unsupervised learning problems

Understand feature engineering for structured and unstructured data

Perform feature extraction, generation and transformation techniques

Explore the basic and advanced ensemble techniques (rank averaging, random forest and more)

Challenges & Applications of Big Data

Introduction to Distributed Computing

Spark Architecture

RDDs & DataFrames

Understanding Spark Execution

Building Classification & Regression Models

Building ML Pipelines

SQL vs NoSQL databases

Different types of NoSQL databases

Querying, Aggregation & Indexing in MongoDB

Replicate & Share data in MongoDB

Exploring time series data and dealing with date-time variable

Learn Basic Forecasting algorithms (naive approach, simple average, moving average)

Work with Exponential smoothing algorithms (Simple, double, holts winter)

Work with Advanced forecasting algorithms (ARIMA, SARIMA, Prophet)

Introduction to NLP and its applications

Handling Text Data (Cleaning and Pre-processing)

Information Extraction and Retrieval from text

Language Modelling

Feature Engineering from textual data

Text Classification

Topic modelling

Introduction to Deep Learning

Introduction to Neural Networks

Activation Function, Optimizers, Loss Functions

Image Classification

Transfer Learning

RNN, LSTM, GRU

Text Classification

Introduction to Model Deployment

Deploying Your First Machine Learning models

Deploying ML Learning model using Streamlit + AWS

Deploying Image Classification model using Streamlit + AWS

    Overall in Bootcamps
  • 500+ Hours of Live online classes
  • 500+ Hours of Internship
  • 20+ Projects
  • 12+ Tools
  • 50+ Hours of Interview Preparation

Reinforce Your learnings with 20+ projects

Doing projects is one of the most essential steps to apply your learning and showcase in your resume. Writing code is one thing but writing it efficiently, well that requires practice
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Customer Churn Prediction

Customer retention is a crucial aspect for any organization. Learn to use the Data Science Techniques for predicting the propensity of customer churn for a Bank.

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NYC Taxi Trip Duration Prediction

To improve the efficiency of taxi dispatching systems, it is important to be able to predict how long a driver will have his taxi occupied. Build Machine Learning Models to accurately predict trip duration for taxi trips in New York City.

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Descriptive Analytics: FIFA-19 Players

Work on a dataset of FIFA19 players and do descriptive analytics on it. Go through the thought process of how data is understood, transformed into a useful format and how we get answers and insights from our data.

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Classify Emergency Vehicles

Fatalities due to traffic delays of emergency vehicles such as ambulance & fire brigade is a huge problem. Use Deep Learning Techniques and design a system for classifying a vehicle into an emergency and non emergency category.

Industry Experts & Mentors

Kunal

Kunal Jain

Founder & CEO, Analytics Vidhya
Sunil

Sunil Ray

Chief Content Officer at Analytics Vidhya
Anand

Anand Mishra

Head Of Engineering at Analytics Vidhya
Pranav

Pranav Dar

Sr Editor & Data Scientist at Analytics Vidhya
aishwarya

Aishwarya Singh

Data Scientist Analytics Vidhya
Arihant Jain

Arihant Jain

Lead Data scientist ZestMoney
kaushik

Kaushik Roy Chowdhury

Senior Data Scientist Analytics Vidhya
subhash

Subhash Meena

Senior Data Scientist Analytics Vidhya

Process

  • Step One

    Apply

    Apply for the Data Science Bootcamp program 2021 by filling up the registration form.

  • Step Two

    Assessments & Interviews

    Take the Assessment tests, assignments and undergo the interview round.

  • Step Three

    Join the Program

    Get started on your journey to become a industry ready data scientist

Bootcamp Fee

Data Science Immersive Bootcamp (with Job Guarantee*)

  • Comes with 100% Placement Guarantee
  • Bootcamp with paid internship
  • 20+ Industry Projects
  • Expert Data Science Instructors and Mentors
  • Weekly Mock Interviews
Program Fees
₹3,25,000(inclusive of GST)
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Start your Bootcamp Learning with
₹33,333 per month with 0% Interest EMI

Avail education loans at 0% interest rate* with our corporate financial partners

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indian-rupee 1,60,000 + GST

Candidates can pay the program fee through Netbanking, Credit/Debit cards, Cheque or DD. Also, with our corporate financial partnerships avail education loans at 0% interest rate*.

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Ascend Pro

Mastering Data Science for the Industry
  • Certified by KPMG in India & Analytics Vidhya
  • Industry Case Studies and Capstone Projects
  • 500+ Learning Hours
  • 100% Placement Assistance
  • 3 Full-Week HackConfs
  • 3 Hands-On intensive workshops
  • 20+ Real World Projects
  • Master 15+ tools

Economics and ROI of Immersive Bootcamp

Below is the actual Cost of the Immersive Bootcamp Program along with a Guaranteed Job. You will recover the entire fee of the “Bootcamp Program” within just 11* months of joining the program.
  • Particulars Lump-sum Amount (INR) Installment Amount(INR)
  • Total Cost of Program 2,50,000* (You Pay) 2,75,000* (You Pay
  • Stipend for 6 months @ 10000 per month (60,000) (You Earn) (60,000) (You Earn)

With Super Early Bird Offer.

The amount is inclusive of taxes.

Guaranteed Job of minimum INR 5,50,000 per annum (45,833 per month).

1.In the case of Lump Sum Payment:

  • Particulars Amount (INR)
  • Total Cost of Program 2,50,000*
  • Stipend for 6 months @ 10000 per month (60,000)

2.In the case of Payment in Installments via EMI:

  • Particulars Amount (INR)
  • Total Cost of Program 2,75,000*
  • Stipend for 6 months @ 10000 per month (60,000)

With Super Early Bird Offer.

The amount is inclusive of taxes.

Guaranteed Job of minimum INR 5,50,000 per annum (45,833 per month).

Intern Spotlight

Megha Setia

Associate Consultant in KPMG

Kaushal Shetty

AM- Analytics at PaisaBazaar

Pravar Jain

Associate Consultant (Data Scientist), KPMG

Hear From Our Previous Batch

Sarthak Arora

Assistant Manager - Analytics PaisaBazaar

Hear the story of Sarthak, who went from being a fresher to AM - Analytics at Paisabazaar, India’s largest fintech company.

Kamaldeep Singh

Assistant Manager - Analytics PaisaBazaar

Get a glimpse of Kamaldeep’s journey into the field of data science and how he managed to grab one of the hottest roles in the industry

Ashwin Deenadayalan

Assistant Manager - Analytics PaisaBazaar

Hear the story of Ashwin, who converted his experience and transitioned into data science successfully.

Kaushal Shetty

Assistant Manager - Analytics PaisaBazaar

Get a glimpse of Kaushal’s story, who took a leap of faith which was worth it.

Frequently asked Questions

Top Questions

Who is this program meant for?
The Data Science Immersive Bootcamp is designed for fresh graduates, young professionals and anyone who wants to make an early transition into the world of data science. The course is focussed on instilling the skills required by the industry and making you job ready.
The Data Science Immersive Bootcamp program is a 6 month full-time instructor led online program. During this time,you will also be doing your internship. However,duration of the job-guarantee is 12 Months.
Hiring partners for this program include top Global & Indian MNCs, technology services and product companies as well as fast growing start-ups. Few companies that hired in the past from Analytics Vidhya’s platforms are PaisaBazaar, EXL, KPMG, American Express, Fractal Analytics, ABInBev and Jet Privilege amongst others.
The minimum annual salary package is INR 5,50,000. However, the final placement package of the candidate will be based on the performance in the bootcamp as well as prior salary and pedigree of the candidate and could be much higher than INR 5,50,000. In the past, salary package upto INR 25,00,000 have been offered to Analytics Vidhya interns who have been hired in the industry.
Internship is the part of the data science bootcamp program and this will ensure that candidates will get the right practical work experience by being on the job with Analytics Vidhya during the bootcamp. This will also make candidates ready for the industry from Day 1 and also help recruiters from companies hire candidates from this program with confidence.
No. The Data Science Immersive Bootcamp program is a full-time program, i.e, 5 days a week. Along with the online course, you will also be doing an internship with Analytics Vidhya. This will ensure that you get the right amount of experience which will set the tone for your upcoming data science job.
Yes. You can refer to the loan section on the payments page and and avail education loans at 0% interest rate* with our corporate financial partners Zest, Propelld.
The fee of the program is structured in such a way that the entire investment will be recovered within 14 months ( see the section on Economics of Bootcamp) and a Guaranteed Job. No other program offers a similar value (both in terms of the quality of training as well as guaranteeing a job in data science).
This Bootcamp will be certified by Analytics Vidhya. Certificate of Internship with Analytics Vidhya and Certificate of Completion of the Bootcamp Program will be given by Analytics Vidhya at the end of the program.
The Data Science Immersive Program has a stellar past placement record. However, if you have met all the job guarantee conditions and still don’t get placed then you are eligible for complete refund.
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