Learn from World Class Data Scientists and International Data Science Publishers to become job ready
Get reports on strengths and weaknesses on tech skills through coding on CloudLabs
Learn over 20 tools and technologies through real life industry projects
Career coaching includes mock interviews, CV, LinkedIn, Github and soft skills training
Get access to 10X more job opportunities and get ahead of your peers
Become trained to join the workforce through interactions with tech industry leaders
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.
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.
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.
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.
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.
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.
Build intelligence to predict user’s healthiness based on past grocery orders and recommend healthier options.
Build intelligence to understand the health of machinery using Machine Learning and predict anomaly data/events.
Building an application that detects the mood using still images or videos and recommends the music accordingly.
Build intelligence using Convolutional Neural Networks to detect fire accidents in buildings and forests.
Build a Propensity Model to learn how likely certain target groups customers may act under certain circumstances.
Build your own virtual voice assistant using NLP and Python (on similar lines of Alexa and Siri).
Build intelligence to analyse patient data to help doctors decide the best treatment.
Build intelligence using Machine Learning to predict the scrap percentage in manufacturing.
Build intelligence to help customers discover products they may like and most likely purchase.
Build a Credit Risk Modelling Application via Machine Learning to predict a customer's creditworthiness.
Career guidance sessions
Top Product Companies Instructors
|Tenure (Monthly)||Interest (Flat)||EMI|
|12||10.25||INR - 5,513|
|18||10.25||INR - 3,846|
|24||10.25||INR - 3,013|
|36||10.25||INR - 2,180|
|Tenure (Monthly)||Interest (Flat)||EMI|
|12||10.00||INR - 5,500|
|18||10.00||INR - 3,833|
|24||10.00||INR - 3,000|
|36||10.00||INR - 2,167|
|Paid at the time of enrollment||INR 48,000|
|Pay After you get a tech job||8% of CTC|
|Monthly payments during the course||INR 0|
|Monthly payments after starting new job||0.67% of CTC|
|Total Cost||INR 48,000 + 8% of CTC|
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
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
I relish live, online sessions and understanding the content in detail. I learnt Python and Data Analysis via this program... Show More
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
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
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
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.
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.
Yes, any form of work experience, irrespective of the roles you are currently in, will be considered as work experience.
The qualifying test will check your logical reasoning and English language skills (as the mode of instruction is in English).
Not to worry. You have one more chance to reappear for the entry test.
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.
Yes, you can still apply for the program.
At the time of admission, having an Indian government identity is mandatory.
There would be live sessions conducted on the weekends. To successfully complete the program, you need to attend at least 80% of these sessions.
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.
upGrad’s programs are recognized by the industry. You surely can apply to any company by creating an impressive resume with industry projects.
You just need to go through our T&C and accept it to be eligible for placements.
Yes, you will receive the program completion certificate considering that the exit criteria is met by the student as per policy.
No. But our obligation to get an invitation for the inteview will end with the first job offer you receive.
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).
Program duration is of 6 months. Career services period starts post successful completion of the progam and is of 6 months duration.
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.
We have EMI options with financial institutions for flexible tenures.
Each loan partner would have a different set of documentation requirements for the EMI. upGrad SPOC will guide you through the admission process.
The user will have to bear standard charges as applicable as per loan partner policy.
Yes, you need to pay a block amount to confirm your enrollment in the program
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.