Post Graduate Diploma in Data Science (E-learning)
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Accreditations
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For Working ProfessionalsRecommended 15hrs/week
12 MonthsIndustry Projects
25+Start Date
Coming SoonCredits
36Faculty
GlobalProgramme Overview
Key Highlights
Why pursue a career in Data Science?
- 30% - Nasscom-Zinnov report estimates that the demand for data scientists in India will grow at a CAGR of 30% over the 5 five years.
- $15bn The data science industry in India is expected to grow to $15 billion by 2025 - Nasscom.
- 30% - India is the fastest-growing market for data scientists in the world. 20% is the global avg growth rate.
- 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
Top Topics You Will Learn
Graduation Requirements
Who Is This Program For?
Minimum Eligibility
Level: Bachelor’s Degree iview more
Syllabus
Best-in-class content by leading faculty and industry leaders in the form of videos, case studies and projects
Instructors
Learn from India’s leading Data Science faculty and industry leaders
Marcello Trovati
Matthew Kolakowski
Filipa Peleja
Hindol Basu
S. Anand
Sameer Dhanrajani
Ujjyaini Mitra
Kalpana Subbaramappa
Ankit Jain
Sajan Kedia
Mirza Rahim Baig
Bijoy Kumar Khandelwal
Syllabus
Best-in-class content by leading faculty and industry leaders in the form of videos, case studies and projects
Core Modules
- Data Toolkit
- Machine Learning - 1
- Capstone Project
Track 1: Deep Learning
- Machine Learning – 2
- Advanced Machine Learning and Deep Learning
- Advanced Deep Learning and Computer Vision
Track 2: Natural Language Processing
- Machine Learning – 2
- Advanced Machine Learning and Natural Language Processing
- Advanced Natural Language Processing
Track 3: Business Analytics
- Advanced Machine Learning
- Data Visualisation and Story Telling
- Solving Business Requirements
Track 4: Business Intelligence/ Data Analytics
- Advanced DBs and Big Data Analytics
- Data Visualisation and Story Telling
- Advanced Problem Solving and Programming
Track 5: Data Engineering
- Data Engineering – 1
- Data Engineering – 2
- Data Engineering – 3
Industry Projects
- Engage in collaborative projects with student-mentor interaction
- Benefit by learning in-person with expert mentors
- Personalized subjective 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.
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.
Bike sharing systems
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.
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.
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.
SQL & Python Lab
Solve intensive programming questions in a competitive lab environment to showcase and evaluate your SQL and Python coding skills.
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.
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.
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.
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.
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.
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.
Syntactic Processing Assignment
Use the techniques such as POS tagging and Dependency parsing to extract information from unstructured text data.
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.
MapReduce Programming Assignment
Perform MapReduce Programming in a big data environment on a large dataset.
ETL Project
Make use of Sqoop, Redshift & Spark to design an ETL data pipeline.
Retail Project
Build an end-to-end real-time data processing application using Spark Streaming and Kafka.
The upGrad Institute, Singapore Advantage
Practical Learning and Networking
- Live Discussion forum for peer to peer doubt resolution monitored by technical experts
- Peer to peer networking opportunities with alumni pool
- Lab walkthroughs of industry-driven projects
- Real-time doubt clearing sessions
- 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
Networking Opportunities
- Global alumni network based in over 85 countries
- Virtual networking sessions to interact with batchmates and alumni
- Online discussion forums for peer to peer interaction
- Learn & network with our industry experts and career coaches
- Informal peer groups on WhatsApp for learners to interact and network
Career 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
Programming Languages and Tools Covered
upGrad Institute Singapore
upGrad Institute, Singapore is a premier Private Education Institution (PEI), built to accelerate the global delivery and adoption of world-class career skilling programs powered by innovation. upGrad Institute holds a 4-year EduTrust certificate which is the Singapore government standard for PEIs and distinguishes schools that are able to consistently maintain a high standard of quality. upGrad Institute programs are developed with a strong outcome-focus that will empower learners with industry-ready formal education and skills. upGrad Institute will offer a range of Post Graduate Diplomas, Masters and Doctorate programs in partnership with top global universities along with skill-based Bootcamps.
upGrad Institute, Singapore is a subsidiary of upGrad - Asia’s largest integrated learning, skilling and career development company that has touched over 7 million total registered learners across 100+ countries, to date. It further boasts an alumni base of 400 in Singapore alone, while also enjoying a strong network of 300 direct global university partners, 20,000+ recruitment partners, and an enterprise arm with a clientele of 3000 corporate partners worldwide.
Admission Process
Step 1
Application
Fill in Application Form and complete the admission test
Step 2
Program Counselling
Pre-course counselling to be conducted by our seasoned admissions counsellor
Step 3
Get Shortlisted
Obtain the offer letter if you have met our admissions requirements
Step 4
Application Fee
Pay the application fee and sign the requisite documents
Step 5
Finalise Enrolment
Pay the course fee and complete your orientation to start your journey
Course Fee
₹ NaN (Inclusive of taxes)*
Application Fee: INR 15,000/-
Refer someone you know and receive cash reimbursements of up to USD 500!*
*More details under the referral policy under Support Section
Empowering learners of tomorrow
Supporting Leaders of tomorrow
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Frequently Asked Questions
Program details
What are some of the topics that will be covered?
Predictive Analytics using Python, Machine Learning, Data Visualization, Big Data, Natural Language Processing.
Who is this program for?
Engineers, Marketing & Sales Professionals, Fresher graduates, Domain Experts, Software & IT Professionals.
What are some of the job opportunities after graduation?
Data Analyst, Data Scientist, Data Engineer, Product Analyst, Machine Learning Engineer, Decision Scientist.
How long is the course?
12 months.
What are the equivalent requirements for IELTS 6.0?
upGrad Institute IELTS 6.0 Equivalent Chart
- International English Language Testing System (IELTS), score of 6.0 and above
- Test of English as a Foreign Language (TOEFL), score of 80 and above
- Pearson Test of English (PTE), score of 54 and above
- Cambridge English for Speakers of other Languages (ESOL),Level 1 and above
- Cambridge Occupational English Test (OET), score of C/250+ and above
- Cambridge CPE and CAE, score of 169 and above
- Test of English for Education Purposes (TEEP), score of 6.0 and above
- Oxford International Business English Certificate (OIBEC), Pass
- Duolingo English Test, score of 105 and above
- GCSE English, grade C and above
- GCE A-level English Language, grade C and above
- GCE AS-level English language, grade C and above
- Cambridge O-level, grade C and above
- Cambridge International GCSE, English as First Language, grade C and above
- Cambridge International GCSE, English as Second Language, grade C and above
- International Baccalaureate: English A, 4 at SL or HL and above
- International Baccalaureate: English B, 4 at SL or HL and above
- For HongKong learners taking the HKDSE exam, Grade 4 and above
- For HongKong learners taking the HKAL exam, Grade C and above
- For Indian learners taking the National Board Standard XII exam, 70% and above
- For Indian learners taking the State Board Standard XII exam, 80% and above
Disclaimer
**All telephone calls will be recorded for training and quality purposes.
**If we are unavailable to attend to your call, it is deemed that we have your consent to contact you in response.