Avail upto INR 35,000 Scholarship on Data Science Bootcamp

Placement stats

7200+ Data transition

12LPA Exciting salaries

52% Average Salary Hike

650+ Hiring Partners

Companies that trust upGrad learners

This Bootcamp Will Uplift Your Career. Here’s How.

395+ blended learning hours

Learn from World Class Data Scientists and International Data Science Publishers to become job ready

Immersive learning platform

Get reports on strengths and weaknesses on tech skills through coding on CloudLabs

20+ projects and case studies

Learn over 20 tools and technologies through real life industry projects

Outcome driven pedagogy

Career coaching includes mock interviews, CV, LinkedIn, Github and soft skills training

10X more employable

Get access to 10X more job opportunities and get ahead of your peers

16+ hours of group career coaching

Become trained to join the workforce through interactions with tech industry leaders

Get certificate of completion from Golden Gate University, California

Certificate

Program creators

David Haertzen

David Haertzen

Big Data Analytics Leader, InfoGoal LLC

Ex-3M, Allianz Life

  • Exp - 33 Years
Denis Rothman

Denis Rothman

AI Author, Speaker, and Instructor

Ex-IBM

  • Exp - 31 Years
Jeffrey Aven

Jeffrey Aven

Principal Consultant Gamma Data

Big Data Solutions

  • Exp - 26 Years
Gopikrishnan R

Gopikrishnan R

Co-Founder and CTO, CrosInfo Software Pvt Ltd

Ex-IBM, Airtel

  • Exp - 23 Years
Peter Henstock

Peter Henstock

Machine Learning & AI Lead, Pfizer

Pfizer, Ex-Harvard

  • Exp - 21 Years
Beau - Carnes

Beau - Carnes

Director of Technology Education, freeCodeCamp

Ex-ElevatorUp

  • Exp - 21 Years
Jignesh Kariya

Jignesh Kariya

Sr. Database Consultant, HM Revenue & Customs

Ex-Deutsche

  • Exp - 21 Years
Ashish Gulati

Ashish Gulati

Python & Data Science Consultant, Tower Research Capita

Ex-Dell, Flipkart

  • Exp - 20 Years
Shobhit Nigam

Shobhit Nigam

Program Director - Data Science & Engineering

Knowledgehut upGrad

  • Exp - 18 Years
Phillip Kinn

Phillip Kinn

Senior Data Scientist, E. & J. Gallo Winery

Ex-Bank of America

  • Exp - 17 Years
Mark Strefford

Mark Strefford

Founder and CTO, Timelaps AI Limited

Ex-Capgemini

  • Exp - 15 Years
Emmanuel Segui

Emmanuel Segui

Asst. Director, Reporting and Programming, Univ of Alabama

University of Alabama

  • Exp - 15 Years
Rahul Tiwari

Rahul Tiwari

Data Scientist and Co-Founder, TheScholar

Ex-Deloitte

  • Exp - 15 Years
Dr. Vishwakarma J.S.

Dr. Vishwakarma J.S.

Chief Technology Officer, Aeries

Ex-Volkwagen, PWC, EY

  • Exp - 14 Years
George Mount

George Mount

Founder, Stringfest Analytics

Stringfest Analytics

  • Exp - 14 Years
Enes Bilgin

Enes Bilgin

Staff Machine Learning Engineer, Argo AI

Ex-Microsoft, Amazon

  • Exp - 13 Years
Jeremiah Lobo

Jeremiah Lobo

Data Visualization Lead, Bank of America

Ex-Capgemini, Bank of America

  • Exp - 13 Years
Marie Stephen Leo

Marie Stephen Leo

Director of Data Science APAC, Edelman Data & Intelligence

Sephora

  • Exp - 12+ Years
Mo Medwani

Mo Medwani

Adjunct Faculty - Data Science & Analytics, Mercer University

Ex-CDC, RBS

  • Exp - 12+ Years
Harish Masand

Harish Masand

Project Manager - Digital Enablement (Data and AI), Hewlett Packard Enterprise

Hewlett Packard

  • Exp - 12 Years
Anatoly Zelenin

Anatoly Zelenin

Freelance Trainer - Apache Kafka

Anatoly Zelenin

  • Exp - 11 Years
Rashmi Banthi

Rashmi Banthi

Data Scientist, AArete

Ex-Harvard, Pfizer

  • Exp - 10 Years
Bradford Tuckfield

Bradford Tuckfield

Data Science Instructor and Consultant

Ex-American Express

  • Exp - 10 Years
Malvik Vaghadia

Malvik Vaghadia

Principal Consultant - Data and Analytics, NTT DATA

NTT Data, Ex-EY

  • Exp - 10 Years
Avery Smith

Avery Smith

Data Scientist, Data Career Jumpstart

Ex-Exxonmobil

  • Exp - 7 Years
Rocky Jagtiani

Rocky Jagtiani

Master Data Science ML and AI trainer and Project Consultant to RTI CAG( Central Govt )

Suven Consultants and Technology Pvt.Ltd.

  • Exp - 16 Years
Manikant Kandukuri

Manikant Kandukuri

Senior Data Scientist

Ex Axis Solar

  • Exp - 11 Years
Jayanth MK

Jayanth MK

Data Science Engineer at Siemens Technology

Siemens Technology India

  • Exp - 4 Years
Akashdeep Makkar

Akashdeep Makkar

Senior Data Scientist

Kearney

  • Exp - 8 Years
Urvinder Singh

Urvinder Singh

Data Scientist at Colgate-Palmolive DnA CoE | 2xGCP Certified | Mentor- Data Science & Tableau

Colgate-Palmolive

  • Exp - 13 Years
Tushit Dave

Tushit Dave

Data Science Consultant @ HCL | NLP | Keynote Speaker | Trainer & Coach | Author & Content Creator | MLOPS | Analytical Experimentor | Data manipulator | Strategist | Story Teller and in the end Theory Matter

HCL

  • Exp - 10 Years

Learn with a world class curriculum

Module-1

Mastering MS Excel and Concepts of Programing

Week 1-3

This module helps you take your first steps towards becoming a successful Data Scientist. You will be introduced to the fundamentals of MS Excel, Learn about formatting concepts, formulas and Statistical Analysis using Excel, Learn the meaning and utility of algorithms, loops, and flow charts, Understand how computers, operating systems,and the World Wide Web works.

Topics Covered

  • Discovering MS Excel
  • Understanding Programming Basics
Module-2

Discovering Data Analysis

Week 4-13

In this module you will learn how to store, manipulate, and retrieve the data along with the advanced visualisation techniques using Matplotlib, Seaborn and Plotly. You will master converting the raw data into high order operations and perform analysis using NumPy and Pandas.

Topics Covered

  • Discovering SQL Basics and mastering Data Analysis
  • Understanding Python for DS - Installation, Building Blocks, Strings and Data Structures
  • Grasping Python for DS - Functions, Modules, Files, Lambda functions, Errors and OOPs
  • Discerning Probability and Statistics - Descriptive Statistics, Distributions and Probability Theory
  • Mastering Probability and Statistics - Hypothesis Testing, Regressions and ANOVA
  • Grasping Data Preprocessing - Numpy, Pandas, RegEx
  • Discovering Data Preprocessing - Web Scraping and EDA
  • Mastering NoSQL
  • Discerning Data Visualization with Tableau
Module-3

Understanding Machine Learning with Python

Week 14-15

During this module you'll learn about linear algebra and calculus and their applications in Data Science, You'll also get a comprehensive understanding of Machine Learning, Linear Regression, Naïve Bayes and Support Vector Machine along with understanding the difference between Bagging and Boosting in Machine Learning.

Topics Covered

  • Grasping Machine Learning - Math for DS
  • Discovering Machine Learning - Linear Regression
  • Understanding Regularization Techniques - LASSO and RIDGE
  • Introduction to Classification and Logistic Regression
  • Discovering KNN, Naive Bayes and SVM
  • Mastering Decision Tree, Random Forest and Boosting
  • Grasping Unsupervised Learning - Clustering and PCA
Module-4

Data Engineering

Week 16-19

Discover the various elements of the Hadoop Ecosystem and how they can be used to solve Big Dataproblems. Understand how Relational Data Processing works in Spark and perform real-time Stream Processing Using Apache Spark and with Amazon Kinesis. You will then get a thorough understanding of Spark SQL and Understand how to deploy Machine Learning models to make inferences using Amazon SageMaker.

Topics Covered

  • Grasping Big Data Processing with Hadoop
  • Discovering Streaming Big Data with Spark
  • Mastering Streaming Big Data with Spark
  • Mastering Machine Learning Model Deployment on Cloud
Module-5

NLP and Deep Learning

Week 20-21

This module strengthen your fundamentals of Natural Language Processing (NLP) and provides the hands-on experience with TextBlob and then Spacy. You will be performing sentimental analysis and creating chatbots and gain in depth understanding of Deep Learning, TensorFlow, and how Neural Networks work. You will also gain the exposure of understanding the application of AI in the real world.

Topics Covered

  • Discovering NLP - Feature Extraction, Texblob, Spacy, Text Classification
  • Grasping NLP - Sentiment Analysis and Chatbots
  • Discerning Deep Learning with Keras and Tensorflow - Keras, Tensorflow and CNN
  • Mastering Deep Learning with Keras and TensorFlow, Adv CNNs, NLP and GANs
Module-6

Data Structures and Algorithms with Career Support

Week 22-27

Explore the fundamentals techniques of Algorithm Analysis, Linked Lists and Binary Trees. You will also learn about the Advanced Data Structures and how to analyze the Asymptotic Performance of Algorithms. Learn Algorithmic Design Paradigms and Methods of Analysis and Microservices Architecture and its Implications.

Topics Covered

  • Basic Techniques of Algorithm Analysis
  • Linked Lists and Binary Trees
  • Advanced Data Structures
  • Analyze the Asymptotic Performance of Algorithms
  • Algorithmic Design Paradigms and Methods of Analysis
  • Microservices Architecture and its Implications

Get a real world understanding through industry projects

Recommender
Recommender

Shopping

Build intelligence on variables of user behaviour based on transactions and selections to identify and recommend products.

Tripredictor
Tripredictor

Travel and Local

Build navigational intelligence to predict when a trip would end, and the next trip to be assigned to a particular cab.

For-Rest from Fires
For-Rest from Fires

Tools

Build intelligence on the possibility of forest fires in advance to take precautionary measures and avert its occurrence.

E-Motion
E-Motion

Personal Assistance

Build intelligence on emotions used in speech to frame more appropriate responses based on the situation at hand.

Temp-Rate-Change
Temp-Rate-Change

Weather

Build intelligence on climate change by generating graphical images with the use of monthly temperature to predict changes.

AlgoTrade
AlgoTrade

Finance

Build intelligence to execute trading orders based on variables like price, time, and volume via automated instructions.

RiskMate
RiskMate

Business

Identify and manage the risk linked to a specific business process by using operational metrics and threat intelligence.

BizHealth
BizHealth

Business

Build intelligence on an organization’s health to indicate if it will be profitable or moving towards bankruptcy.

Scrypto
Scrypto

Finance

Build predictive intelligence around the movement of volatile crypto currencies to bring stability to their investments.

Commuticator
Commuticator

Travel and Local

Build navigational intelligence to predict delays in public transportation that can be communicated to fellow travellers.

SupPORT
SupPORT

Sports and Betting

Build intelligence on what players a team would require, helping improve its chances of winning while being cost-effective.

D-Tect
D-Tect

Safety

Build intelligence on crime zones via visual analytics and machine learning algorithms to predict and prevent more crime.

Lern
Lern

Education

Build intelligence on the stickiness and effectiveness of e-learning content in engaging students to learn.

BestInClass
BestInClass

Education

Build intelligence on the effectiveness and success rate of classroom training, the teacher, and content being taught.

The Next Move
The Next Move

Chess/Board

Build intelligence around chess movements to predict future moves of players via deep learning and reinforcement models.

Detroll
Detroll

Social Media

Build intelligence in identifying trolls via comments so as to deactivate such accounts using machine learning models.

Tools and Technologies covered

The upGrad Advantage

Video Course Bootcamps upGrad

Cloud Labs

Industry projects

Interview Opportunity

Career guidance sessions

Performance Report

MAANG instructors

Admission Process

Pricing Plans

Scholarships upto INR 35,000
1. Program Fees
INR 85,000 + GST INR 1,55,000
EMI Partners
Tenure (Monthly) Interest (Flat) EMI
12 10.25 INR - 8,269
18 10.25 INR - 5,769
24 10.25 INR - 4,519
36 10.25 INR - 3,269
Tenure (Monthly) Interest (Flat) EMI
12 17.5 INR - 8,250
18 17.5 INR - 5,750
24 17.5 INR - 4,500
36 17.5 INR - 3,250
  • The credit facility is provided by a third party credit facility provider and any arrangement with such third party is outside upGrad's purview.
  • A processing fee will be charged on the basis of the payment method selected.
  • ₹ 10,000 as Downpayment has to be paid before the program begins.
  • Standard Interest based EMI Plans of Propelld have Reducing interest rates mentioned are approx. 10 -10.25% flat rate for 10% flat rate for Propelld.
  • Standard Interest based EMI plans for Liquiloans mentioned is Flat interest Rates.
2. Pay After Placement
INR 49,000 + GST Upfront Payment
+
INR 70,000 + GST Pay After Placement
EMI Partners
Tenure (Monthly) Interest (Flat) EMI
12 10.25 INR - 11,983
18 10.25 INR - 8,360
24 10.25 INR - 6,548
36 10.25 INR - 4,737
Tenure (Monthly) Interest (Flat) EMI
12 17.5 INR - 11,955
18 17.5 INR - 8,332
24 17.5 INR - 6,521
36 17.5 INR - 4,710
  • The credit facility is provided by a third party credit facility provider and any arrangement with such third party is outside upGrad's purview.
  • A processing fee will be charged on the basis of the payment method selected.
  • ₹ 10,000 as Downpayment has to be paid before the program begins.
  • Standard Interest based EMI Plans of Propelld have Reducing interest rates mentioned are approx. 10 -10.25% flat rate for 10% flat rate for Propelld.
  • Standard Interest based EMI plans for Liquiloans mentioned is Flat interest Rates.

See what our learners say

Bhupendra Choudhary

Bhupendra Choudhary

My overall journey has been great. My mentor and trainer have been super supportive. They help everyone in the batch follow the curriculum... Show More

Amrita Surensra Bimal

Amrita Surensra Bimal

I enjoyed this Data Science program a lot. Most importantly for me, I learnt about Python and Data engineering-related Big Data tools... Show More

Brajesh Chotia

Brajesh Chotia

I relish live, online sessions and understanding the content in detail. I learnt Python and Data Analysis via this program... Show More

Vaibhav Sah

Vaibhav Sah

After 8 years of journey, I have always been looking for continuing my studies. Then after comparing through multiple options, I finally chose... Show More

Nandish Swarup

Nandish Swarup

My journey at upgrade has been nothing but a rollercoaster ride full of fun and excitement. I was looking for ways to add some skills to my skill set...Show More

Austin Bernard

Austin Bernard

While looking to upskill myself, I found Upgrad. It was a tremendous journey over the last year. The program has helped change my perceptions... Show More

Frequently Asked Questions

1. What is the prerequisite to join the program?

There is no prerequisite for the Data Science Bootcamp. Even without any prior programming or analytics expertise, learners can enroll in this bootcamp that features best-in-class live training, plenty of hands-on exercises and assignments with Cloud Lab.

2. What kind of jobs can I expect as a working professional from non-technical backgrounds?

The program will train you to apply for roles like Data Scientist, Data Analyst, Business Analyst, Big Data Engineer, Statistician, Business Intelligence Developer. That said, the outcome entirely depends on the time you dedicate to this course.

3. Does non-tech experience count as work experience?

Yes, any form of work experience, irrespective of the roles you are currently in, will be considered as work experience.

4. What is the format of the qualifying test?

The qualifying test will check your logical reasoning and English language skills (as the mode of instruction is in English).

5. What if I fail the entry test?

Not to worry. You have one more chance to reappear for the entry test.

6. What is the medium of instruction?

Medium of instruction and program delivery is 100% English and we expect candidates to know English as a mandatory language to apply for the program.

7. Can someone who has a gap after graduation and doesn’t have a job at present, apply to the program?

Yes, you can still apply for the program.

8. What if I do not have an Indian government identity proof?

At the time of admission, having an Indian government identity is mandatory.

1. How many live sessions do I have to attend?

There would be live sessions conducted on the weekends. To successfully complete the program, you need to attend at least 80% of these sessions.

2. Do I have the option to fast-track this program?

We want all our learners to pursue the curriculum we have designed for you to gain an entry into the world of full stack development. There are no shortcuts to this program.

3. Can I opt for a job by myself?

upGrad’s programs are recognized by the industry. You surely can apply to any company by creating an impressive resume with industry projects.

4. Do I need to sign any documents for getting a job?

You just need to go through our T&C and accept it to be eligible for placements.

5. Will I receive the certificate after program completion?

Yes, you will receive the program completion certificate considering that the exit criteria is met by the student as per policy.

6. Do I have to take the first job I am offered?

No. But our obligation to get an invitation for the inteview will end with the first job offer you receive.

7. The course hours do not work for me. Can I attend classes in my own time?

No. It is mandatory for students to attend lectures as per defined program schedule and required to maintain 80% attendance for all live deliverables (lectures, mentorship calls).

8. What is the program duration and career services period?

Program duration is of 6 months. Career services period starts post successful completion of the progam and is of 6 months duration.

1. Can I get any special discount for this program?

We are offering you this program at competitive rates. Hence, we are not offering any discounts, however, we have a lot of financing options to support you to do this program.

2. What financing options do I have?

We have EMI options with financial institutions for flexible tenures.

3. What are the documents required for opting for an EMI?

Each loan partner would have a different set of documentation requirements for the EMI. upGrad SPOC will guide you through the admission process.

4. Are there interest or processing fee charges on EMI?

The user will have to bear standard charges as applicable as per loan partner policy.

5. Is there any down payment to block the seat?

Yes, you need to pay a block amount to confirm your enrollment in the program

1. How does the Interview Opportunity Program work?

The Guaranteed Interview Opportunity Program provides prospective learners from partner companies with a clear path to earn an interview. Each company requires that learners complete the program requirements outlined by upGrad.

  • Prospective learners that have met the criteria will be provided an opportunity to interview with the partner companies.

  • Qualified learners should will be contacted by upGrad's placement team during the 6th month or within six months following successful program completion.

Support

Got a question?

Chat with our Admissions Counsellor today!