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- Be part of the global upGrad community
- Network with like-minded individuals and learners
- Access and learn from global subject matter experts
- Enhance your data science skills
- Real world Data Science Industry Based Projects & Case Studies
IOA Recognise Program | AACSB Member
Post Graduate Diploma in Data Science (E-Learning)
Advance your career and unlock the potential of data with our all-encompassing course. Delve into foundational data toolkits, master machine learning algorithms, explore databases, and seamlessly integrate threading—all under one comprehensive program. Additionally, hone the art of data-driven storytelling to effectively communicate insights and drive impactful decision-making. Start your journey towards data mastery today!
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TypePost-graduate
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Start DateComing Soon
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Duration12 months
upGrad Institute
- For Working Professionals 100% Online
- | 25+ Industry Project
Accreditation and Membership
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Introduction to PGD DS
Course Snapshot
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Expand your horizons:
Learn alongside global peers
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Dive into diverse tracks:
Choose your specialization!
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IOA
recognized course
- Best-in-class content by leading faculty and industry leaders in the form of videos, case studies and projects
- 90+ Hours of Live Sessions
- Collaborative projects with student-mentor interaction
- AI Powered Profile Builder
- Unlock Excellence - We are member of AACSB - Business Education Alliance
PGD in Data Science Certificate
Post Graduate Diploma in Data Science (E-Learning)
Upon successful completion of the Course, you will receive a Post Graduate Diploma in Data Science (E-Learning) from upGrad Institue.
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Post Graduate Diploma in Data Science (E-Learning) from upGrad Institue.
- Be part of the global upGrad community
- Network with like-minded individuals and learners
- Access and learn from global subject matter experts
- Enhance your data science skills
- Real world Data Science Industry Based Projects & Case Studies
Explore Our Learning Platform
Learn on an AI-powered & personalised platform with best-in-class
content, live sessions & mentoring from leading industry experts.
PGD in Data Science Instructors
Whom will you learn from?
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12 Instructors
Marcello Trovati
Professor in Data Science-
A computer and data scientist with several years of experience in Academic, having graduated from University of Exeter and Aberdeen
A computer and data scientist with several years of experience in Academic, having graduated from University of Exeter and Aberdeen
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Matthew Kolakowski
- United States of America
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Judy has developed and taught Master of Science degrees in IT Management, Project Management, and Business Analytics.
Judy has developed and taught Master of Science degrees in IT Management, Project Management, and Business Analytics.
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Filipa Peleja
- United States of America
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A data science and machine learning specialist having graduated from LSBF and NOVA School of Science and Technology
A data science and machine learning specialist having graduated from LSBF and NOVA School of Science and Technology
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Hindol Basu
- CEO
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An alumnus of IIT and IIM with over 13 years of experience in analytics with industry leaders such as CitiGroup, Tata Industries, etc.
An alumnus of IIT and IIM with over 13 years of experience in analytics with industry leaders such as CitiGroup, Tata Industries, etc.
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S. Anand
- CEO
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A gold medallist from IIM Bangalore, an alumnus of IIT Madras and London Business School, Anand is among the top 10 data scientists in India.
A gold medallist from IIM Bangalore, an alumnus of IIT Madras and London Business School, Anand is among the top 10 data scientists in India.
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Sameer Dhanrajani
- Co-Founder & CEO
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An AI and Analytics evangelist for Fortune 500 companies who have won several industry awards in the field of analytics
An AI and Analytics evangelist for Fortune 500 companies who have won several industry awards in the field of analytics
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Ujjyaini Mitra
- Head of Analytics
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An alumnus of McKinsey and Co., Flipkart, and Bharti Airtel with over 11 years of experience.
An alumnus of McKinsey and Co., Flipkart, and Bharti Airtel with over 11 years of experience.
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Kalpana Subbaramappa
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- Ex-AVP
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Kalpana is the ex-AVP of Decision Sciences at Genpact with over 20 years of experience.
Kalpana is the ex-AVP of Decision Sciences at Genpact with over 20 years of experience.
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Ankit Jain
- Sr. Research Scientist
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An alumnus of IIT Bombay, UCB and Harvard Business School with over 9 years of experience
An alumnus of IIT Bombay, UCB and Harvard Business School with over 9 years of experience
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Sajan Kedia
- Lead Data Scientist (Pricing)
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An alumnus of IIT with over 7 years of experience at Watson at IBM Research, startups & Myntra
An alumnus of IIT with over 7 years of experience at Watson at IBM Research, startups & Myntra
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Mirza Rahim Baig
- Lead | Business Analytics
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Advanced analytics professional with 8+ years of experience as a consultant in the e-commerce and healthcare domains.
Advanced analytics professional with 8+ years of experience as a consultant in the e-commerce and healthcare domains.
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Bijoy Kumar Khandelwal
- Chief Operating Officer
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Bijoy comes with a deep understanding of private and cloud architectures and has helped numerous companies make the transition.
Bijoy comes with a deep understanding of private and cloud architectures and has helped numerous companies make the transition.
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PGD in Data Science Syllabus
What will you learn?
Best in class curriculum designed by leading faculty and industry practitioners
1:20 Teacher-Student Ratio
200+ Hours of Learning
90+ Hours of Live Sessions
Track 1: Deep Learning
Topics
- Machine Learning – 2
- Advanced Machine Learning and Deep Learning
- Advanced Deep Learning and Computer Vision
Track 2: Natural Language Processing
Topics
- Machine Learning – 2
- Advanced Machine Learning and Natural Language Processing
- Advanced Natural Language Processing
Track 3: Business Analytics
Topics
- Advanced Machine Learning
- Data Visualisation and Story Telling
- Solving Business Requirements
Track 4: Business Intelligence / Data Analytics
Topics
- Advanced DBs and Big Data Analytics
- Data Visualisation and Story Telling
- Advanced Problem Solving and Programming
Track 5: Data Engineering
Projects
Learn by Doing
Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions
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Engage in collaborative projects with student-mentor interaction -
Benefit by learning in-person with Expert Mentors
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Personalised descriptive feedback on your submissions to facilitate improvement
Credit EDA Assignment
In this assignment, you will work for a consumer finance company which specialises in lending various types of loans to urban customers, and use EDA to analyse the patterns present in the data. This will ensure that the applicants that are capable of repaying the loan are not rejected.
In this assignment, you will work for a consumer finance company which specialises in lending various types of loans to urban customers, and use EDA to analyse the patterns present in the data. This will ensure that the applicants that are capable of repaying the loan are not rejected.
Skills learned
- Data Mining
- Data Mining
- Data Mining
- Data Mining
RSVP Case Study
In this assignment, you will work on a movies dataset using SQL to extract exciting insights about popular films and the factors that drive a film.
In this assignment, you will work on a movies dataset using SQL to extract exciting insights about popular films and the factors that drive a film.
Skills learned
- Data Mining
- Data Mining
- Data Mining
- Data Mining
Bike Sharing Assignment
Build a regression model to understand the factors on which the demand for bike sharing systems vary on and help a company optimise its revenue.
Build a regression model to understand the factors on which the demand for bike sharing systems vary on and help a company optimise its revenue.
Skills learned
- Data Mining
- Data Mining
- Data Mining
- Data Mining
Lead Scoring Case Study
In this case study, the company requires you to build a machine learning classification model wherein using some demographics and behavorial data of the leads (potential buyers), it will be able to identify the ones most likely to convert.
In this case study, the company requires you to build a machine learning classification model wherein using some demographics and behavorial data of the leads (potential buyers), it will be able to identify the ones most likely to convert.
Skills learned
- Data Mining
- Data Mining
- Data Mining
- Data Mining
Big Data Case Study
Understand how a big data project in the industry is taken up and solved through a comprehensive big data case study on cloud.
Understand how a big data project in the industry is taken up and solved through a comprehensive big data case study on cloud.
Skills learned
- Data Mining
- Data Mining
- Data Mining
- Data Mining
SQL & Python Lab
Solve intensive programming questions in a competitive lab environment to showcase and evaluate your SQL and Python coding skills.
Solve intensive programming questions in a competitive lab environment to showcase and evaluate your SQL and Python coding skills.
Skills learned
- Data Mining
- Data Mining
- Data Mining
- Data Mining
Model Selection Case Study - Telecom Churn
Telecom companies often face the problem of churning customers due to the competitive nature of the industry. Help a telecom company identify customers that are likely to churn and make data-driven strategies to retain them from the perspective of a business analyst.
Telecom companies often face the problem of churning customers due to the competitive nature of the industry. Help a telecom company identify customers that are likely to churn and make data-driven strategies to retain them from the perspective of a business analyst.
Skills learned
- Data Mining
- Data Mining
- Data Mining
- Data Mining
Airbnb Case Study
Understand the factors that drive the Airbnb business and help the team leads tackle problems and bottlenecks through extensive data analysis on UI tools.
Understand the factors that drive the Airbnb business and help the team leads tackle problems and bottlenecks through extensive data analysis on UI tools.
Skills learned
- Data Mining
- Data Mining
- Data Mining
- Data Mining
Business Case Study
Understand how data projects are taken up in the industry and implement the steps required to successfully manage and complete a data project.
Understand how data projects are taken up in the industry and implement the steps required to successfully manage and complete a data project.
Skills learned
- Data Mining
- Data Mining
- Data Mining
- Data Mining
NN Assignment
In this assignment, you will build a complete neural network using Numpy. You will implement all the steps required to build a network - feedforward, loss computation, backpropagation, weight updates etc. You will use the MNIST dataset to train your model to classify handwritten digits between 0-9.
In this assignment, you will build a complete neural network using Numpy. You will implement all the steps required to build a network - feedforward, loss computation, backpropagation, weight updates etc. You will use the MNIST dataset to train your model to classify handwritten digits between 0-9.
Skills learned
- Data Mining
- Data Mining
- Data Mining
- Data Mining
Gesture Recognition Case Study
Imagine you are working as a data scientist at a home electronics company which manufactures state of the art smart televisions. You want to develop a cool feature in the smart-TV that can recognise five different gestures performed by the user which will help users control the TV without using a remote.
Imagine you are working as a data scientist at a home electronics company which manufactures state of the art smart televisions. You want to develop a cool feature in the smart-TV that can recognise five different gestures performed by the user which will help users control the TV without using a remote.
Skills learned
- Data Mining
- Data Mining
- Data Mining
- Data Mining
Advanced ML Case Study - Telecom Churn
Telecom companies often face the problem of churning customers due to the competitive nature of the industry. Help a telecom company identify customers that are likely to churn and make data-driven strategies to retain them from the perspective of a data scientist.
Telecom companies often face the problem of churning customers due to the competitive nature of the industry. Help a telecom company identify customers that are likely to churn and make data-driven strategies to retain them from the perspective of a data scientist.
Skills learned
- Data Mining
- Data Mining
- Data Mining
- Data Mining
Syntactic Processing Assignment
Use the techniques such as POS tagging and Dependency parsing to extract information from unstructured text data.
Use the techniques such as POS tagging and Dependency parsing to extract information from unstructured text data.
Skills learned
- Data Mining
- Data Mining
- Data Mining
- Data Mining
Automatic Ticket Classification Case Study
In this case study you will create a solution that will help in automating the classification of different complaint tickets raised by the customers of a multinational bank.
In this case study you will create a solution that will help in automating the classification of different complaint tickets raised by the customers of a multinational bank.
Skills learned
- Data Mining
- Data Mining
- Data Mining
- Data Mining
MapReduce Programming Assignment
Perform MapReduce Programming in a big data environment on a large dataset.
Perform MapReduce Programming in a big data environment on a large dataset.
Skills learned
- Data Mining
- Data Mining
- Data Mining
- Data Mining
ETL Project
Make use of Sqoop, Redshift & Spark to design an ETL data pipeline.
Make use of Sqoop, Redshift & Spark to design an ETL data pipeline.
Skills learned
- Data Mining
- Data Mining
- Data Mining
- Data Mining
Retail Project
Build an end-to-end real-time data processing application using Spark Streaming and Kafka.
Build an end-to-end real-time data processing application using Spark Streaming and Kafka.
Skills learned
- Data Mining
- Data Mining
- Data Mining
- Data Mining
Learner Support and Services
How will upGrad support you?
Strong hand-holding with dedicated support to help you navigate your Post Graduate Diploma in Data Science (E-Learning)
Student Support (Non-Academic queries)
- Student Support Team is available 24*7
- Email us on studentsupport@upgrad.com OR use the "Talk to Us" option on the Learning platform
Doubt Resolution (Academic)
- Live Discussion forum for peer to peer doubt resolution monitored by technical experts
- 1-1 Doubt solving sessions with Teaching Experts
- Informal peer groups on WhatsApp for doubt solving
Industry Networking
- Global alumni network based in over 85 countries
- Virtual networking sessions with classmates and alumni
- Online discussion forums for peer to peer interaction
- Learn and network with our industry experts and career coaches
- Informal peer groups on WhatsApp for learners to interact and network
Services
- Industry leaders to guide you on job opportunities, career path in the field of Data. Support on polishing your hard skills and soft skills for interview preparation
- Resume and LinkedIn profile building support, to enhance your career prospects
- Global job opportunities
20 Programming Languages, Tools & Libraries Covered
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Career Impact
Career Coaching (1:1)
(1:1) with a dedicated career coach to build your career path.
Career Webinars
Industry leaders to guide you on job opportunities, career path in the field of Data. Support on polishing your hard skills and soft skills for interview preparation.
Profile Builder
Resume and LinkedIn Profile Building to enhance your career.
Interview Preparation
Support on polishing your hard skills and soft skills for interview preparation.
Course Fee: USD 3,000
Application Fee: USD 500*
All GST and other taxes are inclusive in the fees
*Application Fee is additional to the course Fee
PGD DS Eligibility & Admissions
How to apply for PGD DS Program?
There are 5 simple steps in the Admission Process which is detailed below:
Eligibility
Minimum Age: 21 Years Old
Minimum Age: 21 Years Old
Language Proficiency: Bachelor’s Degree where English is the mode of delivery, or IELTS 6.0 or equivalent.
Academic Level: Bachelor Degree (or equivalent) or mature candidates who are at least 30 years old and above with 8 years of work experience and with a Diploma.
Application
Fill in Application Form and complete the admission test
Fill in Application Form and complete the admission test
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Course Counselling
Pre-course counselling to be conducted by our seasoned admissions counsellor
Pre-course counselling to be conducted by our seasoned admissions counsellor
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Get Shortlisted
Obtain the offer letter if you have met our admissions requirements
Obtain the offer letter if you have met our admissions requirements
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Application Fee
Pay the application fee and sign the requisite documents
Pay the application fee and sign the requisite documents
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Finalise Enrolment
Pay the course fee and complete your orientation to start your journey
Pay the course fee and complete your orientation to start your journey
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Refer someone you know and receive cash reimbursements of up to
!*
*More details under the referral policy under Support Section
Data Science Program Success Stories
What Our Learners Say
My skill set has been sharpened, I've learnt new skills, and improved my competency
As part of my upskilling, I searched for programs that could help achieve that and came across upGrad and enrolled. It has been a really enlightening journey and one that I've thoroughly enjoyed. My skill set has been sharpened, I've learnt new skills, and improved my competency. I've also connected and made friends with some really awesome and like-minded people along the way and thus I've enlarged my network. Part of my success was that I was invited by the Vice Chancellor of one of the Universities in South Africa to address the executive council on a large language model i.e ChatGPT, and its impact on research.
As part of my upskilling, I searched for programs that could help achieve that and came across upGrad and enrolled. It has been a really enlightening journey and one that I've thoroughly enjoyed. My skill set has been sharpened, I've learnt new skills, and improved my competency. I've also connected and made friends with some really awesome and like-minded people along the way and thus I've enlarged my network. Part of my success was that I was invited by the Vice Chancellor of one of the Universities in South Africa to address the executive council on a large language model i.e ChatGPT, and its impact on research.
Read More
Elisha Bax Dibakoane
- Lead Data Scientist at Vodacom
- 16 Years of Experience
My experience this far has been nothing short of exceptional.
I took up the upGrad Data Science course with a desire to challenge myself and expand my knowledge in this rapidly evolving field. My experience this far has been nothing short of exceptional. The program has pushed me to grow both professionally and personally, and I feel equipped with the skills and confidence to take on new challenges in my career.
I took up the upGrad Data Science course with a desire to challenge myself and expand my knowledge in this rapidly evolving field. My experience this far has been nothing short of exceptional. The program has pushed me to grow both professionally and personally, and I feel equipped with the skills and confidence to take on new challenges in my career.
Read More
Noaman Kazi
- Head - Digital Technology, Product delivery at Jawwy
- 20 Years of Experience
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