PG Program in Data Science – UPES
- Become a Certified Data Scientist from one of India's top university - UPES.
- Ranked amongst India's top 5 Data Science Programs by Analytics India Magazine
- Get UPES alumni status and 100% placement assistance.
- Become an expert in predictive modeling & machine learning techniques on SQL, R & Python.
Watch a Free Class Video
Enquire Here
Courses Highlights
150 Hrs of online classes on weekends or video based learning with support
Hands-on training with 70% practical content
150 Hours of assignments & 9 industry projects
24x7 lifetime access to online videos and content
Top class faculty from UPES & premier companies like EY, Fractal, Accenture etc.
Get industry recognised PG certificate from UPES with full job assistance
Our Students are Placed in
Learning Options
Live Online Class
Learn from the best data science faculty around the world without moving from home!
Key Features
- Learn through 150 hours of live online classes on weekends with 150 hours of assignments & projects
- Get the benefits of learning from home through fully interactive, online classes. (SQL will be available on video only).
- Learn R, Python, SQL, Predictive Analytics & Machine Learning in this comprehensive specialization course
- Interact and ask your questions and doubts to the faculty in the class like a normal class
- Get 100% placement assistance post certification to get into a career in data science
- 24x7 lifetime access to the course content and all recorded videos of your classes.
- Reserve your seats with just Rs. 5000/- now!
- Pay in 6 interest free installments! (*Subject to partner approval)
- We offer a full refund 6 days post start of classes if you would like to cancel, though with such a good deal we wonder who would!
Self-Paced + Faculty Support Learning
Get complete flexibility in learning without compromising on content or doubt clearance!
Key Features
- Learn through 150 hours of online class recorded videos and 150 hours of assignments & projects
- Learn easily at your own time and pace from anywhere. Enrol and start learning immediately!
- Learn R, Python, SQL, Predictive Analytics & Machine Learning. All content is same as live class option.
- Get all your doubts and queries cleared by faculty through forums, emails and scheduled calls
- Get 100% placement assistance post certification to get into a career in data science
- 24x7 lifetime access to the course content and all recorded videos of your classes. No time limits or deadlines!
- No need to wait for batches! Start learning as soon as you enrol!
- Pay in 6 interest free installments! (*Subject to partner approval)
- We offer a full refund up to 3 days post your enrolment if you would like to cancel, though with such a good deal we wonder who would!
About UPES
Conceived in 2003 UPES, recognized by UGC and accredited by NAAC, is amongst the best-known universities in India and first in Asia to offer domain focused programs in Infrastructure Management, Energy, HSE, Project Management, International Business, Aviation. Logistics, IT and others. It has undisputed leadership in these domain areas and has emerged as a preferred centre for talent for best of corporates. The Centre for Continuing Education offers management programs and executive education to working professionals and students through distance learning mode.
With over 100 programs, 600 faculty and 12,000 students it is one of India's largest universities. UPES works with 3,500 recruiters and has placed over 13,000 students till date.
Global QS Ratings- 5 star rating for Employability and 4 star for Teaching
Member of Association of Indian Universities & International Association of Universities
Best University for Placements and Employability’, Times Now National Education Excellence Award 2018
Pre-requistes
- Completed graduation or in final year of any graduation discipline
- Not mandatory to have a maths or programming background. However comfort with learning maths and programming will be required.
Technologies Covered
Course Curriculum
Business Analytics in R
- Introduction to Analytics
- Fundamentals of R
- Basic Statistics in R
- Data Cleaning & Visualization in R
- Linear Regression in R
- Logistic Regression in R
- Segmentation for marketing analytics in R
- Time series forecasting in R
- Decision Trees in R
- Random Forest & XGBoost in R
- Solving an actual business problem through analytics
Machine Learning in Python
- Introduction to Data Science
- Fundamentals of Python
- Data summary & visualization in Python
- Data Handling in Python using NumPy & Pandas
- Basics of Machine Learning
- Generalised Linear Models in Python
- Tree Models using Python
- Boosting Algorithms in Python
- SVM and kNN in Python
- Unsupervised learning in Python
- Neural Networks in Python
- Text Mining in Python
- Ensemble Methods in Python & Bokeh
Data Analysis in SQL
- Introduction to SQL
- SQL data types & operators
- Useful operations in SQL
- Aggregating Data in SQL
- Functions and sub-queries in SQL
- DML and DDL statements in SQL
- Joins and views in SQL
Example Projects
You will work on multiple real-world projects from different industries which you will put on your CV
- Healthcare: Predict patient re-admission risk for a hospital chain based on their medical history data.
- BFSI: Identify fraudulent transactions for a credit card providing company to create an early warning system to prevent frauds in real time.
- Retail: Identify locations where a retail giant’s new stores should be opened and will do well.
- BPO: Create a machine learning system which will automatically pick out customer complaints most likely to be unresolved and escalate them.
- Real Estate: Predict property prices and help the prop-tech startup’s agents close deals quicker.
Placement Assistance Process
Career Transition Stories
How I shifted my career from IT to Data Science Read More
Senior Associate, Cognizant
How I moved from teaching to a career in Analytics Read More
SAS Programming Analyst, FedEx Express
How I got into a cutting-edge analytics job after a career break Read More
Credit Risk Analyst, Bright House Networks
How a fresher made his move into analytics Read More
Sr. Analyst – Tiger Analytics
I married finance and data science! Read More
Quantitative Data Analyst - Tradepath Capital
I shifted my career into analytics after 9 years in finance and audit Read More
Data Scientist, Capgemini
How I shifted my career from IT to Data Science Read More
Senior Associate, Cognizant
From back-office operations into analytics. Here is how I did it... Read More
Sr. Analyst – TCS (Risk Analytics-Mortgage)
I moved from software testing to data science! Read More
Data Analyst - Born Bright Products
I Got 3 Job Offers Post the Course! Read More
Business Analyst, Aon Hewitt
I shifted my career into analytics after 9 years in finance and audit Read More
Data Scientist, Capgemini
How I got into a cutting-edge analytics job after a career break Read More
Credit Risk Analyst, Bright House Networks
I got a huge salary hike! Read More
Data Scientist - Deloitte India (Offices of the US)
From back-office operations into analytics. Here is how I did it... Read More
Sr. Analyst – TCS (Risk Analytics-Mortgage)
I married finance and data science! Read More
Quantitative Data Analyst - Tradepath Capital
From back-office operations into analytics. Here is how I did it... Read More
Sr. Analyst – TCS (Risk Analytics-Mortgage)
I Got 3 Job Offers Post the Course! Read More
Business Analyst, Aon Hewitt
How a fresher made his move into analytics Read More
Sr. Analyst – Tiger Analytics
I shifted my career into analytics after 9 years in finance and audit Read More
Data Scientist, Capgemini
I got a huge salary hike! Read More
Data Scientist - Deloitte India (Offices of the US)
I changed my career from Sales to Analytics Read More
Associate - Projects, Cognizant
How I got into a cutting-edge analytics job after a career break Read More
Credit Risk Analyst, Bright House Networks
How I shifted my career from IT to Data Science Read More
Senior Associate, Cognizant
How I got a data science job as a fresher! Read More
Associate Consultant- Data Science, Bristlecone
How a fresher made his move into analytics Read More
Sr. Analyst – Tiger Analytics
Faculty Profiles
Dr. Kingshuk Srivastava
Assistant Professor - School of Computer Science - UPESDr. Kingshuk is an Assistant Professor in the School of Computer Science Engineering in UPES and has 10 years teaching experience. He is a Ph.D in Computer Science Engineering and his field of research is in AI, Data Science and NoSQL databases. He has conducted multiple workshops on AI and Machine Learning as well as Big Data. He is also the founding member of CredFic Technologies and worked for Product Design and Development in Artificial Intelligence.
Mr. Lalit Sachan
Co-Founder & Head - Data Science, EdvancerLalit Sachan is the co-founder and head of data science vertical at Edvancer. He has about 7 years of experience in data science consulting and training. hands on experience in data science. He has worked in Banking/Financial Services & Consumer domains with companies like Global Analytics & Shopveg. Lalit is a corporate trainer in data science & AI for top companies like EY, PwC, Deloitte, GE, HDFC Bank etc. He has done his B.Tech from IIT Kanpur and Masters from ISI Kolkata.
Mr. Utsab Chakraborty
Manager - Customer & Marketing Analytics - FlipkartUtsab is an Analytics Manager at Flipkart and has a total of 10+ years of experience in analytics. He is an expert on predictive analytics, machine learning, R & Python. He has worked extensively in the retail/CPG, e-commerce and banking domains. His rich experience in consulting & delivery has transformed analytics journeys of several Fortune 500 companies. He also has a lot of training experience. Utsab has completed his PGDM from XLRI and his B.Tech from Kalyani Government Engineering College.
Mr. Renold Devaraj
Data Scientist - DellMr. Renold Devaraj. Renold is a Data Scientist with 10 years of experience working with companies like Dell, Cognizant, TCS, Capgemini, Latentview etc. He is an expert on predictive modeling and marketing analytics and has worked on various projects for verticals like telecom, banking & retail. He is also a visiting faculty at various management & engineering schools in the country. Renold is an MBA from NIT Trichy and BE from Anna University.
Mr. Abhishek Nagarjuna
Sr. Ai Scientist - Course5iAbhishek is an AI & Data Scientist with 5 years of work experience working with a globalconsulting companies. He has worked on various projects using advanced machine learning & AI algorithms. He is an expert on predictive modelling, machine learning, deep learning, R and Python.
Get Certified By UPES and Edvancer
Benefits of taking this course
Become a full-stack data scientist with core skills in the highly in-demand areas of Machine Learning and Predictive Analytics.
Get certified by UPES, one of India's largest universities and get UPES alumni status with 100% placement assistance.
Create a Data Science project portfolio to establish your skills and credibility and attract recruiters
Showcase your projects on your CV at the end of the course to industry stalwarts
Gain hands-on knowledge through the hands on problem solving based approach of the course
Get a 40%-100% jump in your salary by becoming a data scientist
Testimonials
It was a great experience and pleasure to learn from Edvancer. The online class room is as good as a real class room. It was highly interactive with brainstor Read More
The course was of very high quality and engaging. The interactive atmosphere and live examples were refreshing. The instructor had the real world experience t Read More
I got a great job as Sr. Analyst with a 75% pay hike post this course! The course is a perfect blend of analytics tools and techniques. If you want to learn rea Read More
The data science course provides an in-depth understanding of analytics with hands-on experience on R & Python using case studies from varied domains. You Read More
Edvancer's content is better than other institutes with whom I enquired and at much economical cost. After the course I got a job as a Campaign Management Analy Read More
