Data Science Online Certification Courses and Training from the World’s Top Universities
Online Data Science Programs
from the World’s Top Universities
MS | Executive PGP | Professional Certificate |
Advanced Certificate
360 Degree Career Support
14+ Programming languages & tools
1:1 Mentorship
40+ Live Sessions
5 Out Of 6 Learners
Get positive career growth.
Featured Programs for you
Viewing 7 programspopular
Executive PG Program in Data Science | 12 months
#1 Data Science program with 6 unique specializations and 60+ industry projects
Ranked among the Top 10 Technical Universities in India. (India Today, 2020)
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Caltech CTME Data Analytics Certificate Program | 7 months
Blended Program with online and live sessions.
Masterclasses from Caltech faculty and live training from Full Stack Academy
MS in Data Science | 18 months
Get free python programming bootcamp with 60+ case studies & projects
Access to global job opportunities with timely doubt resolution
MS in Data Science | 24 months
Get 30+ live learning sessions, masterclass by industry experts & 25+ case studies
Access to global job opportunities with timely doubt resolution
Still Not sure? Talk to our Expert Mentors
For Managers
Professional Certificate for Business Decision Making | 8 months
Access to 20+ live learning sessions with 5+ expert coaching sessions and 3 industry projects
Case based pedagogy
Advanced Certificate Programme in Data Science | 8 months
Get free python programming bootcamp with fortnightly mentorship from industry experts
300+ hours of learning; access to 7+ case studies & projects
Advanced Programme in Data Science | 12 months
Learn Predictive Analysis, Data Analysis, Machine Learning, Data Visualisation, and more.
Designed for working professionals.
UPGRAD is
South Asia’s largest higher EdTech company.
Transform your career with these services
Career Counselling
Get relevant career paths traced by experts to ascertain the best opportunities.
Resume Feedback
Get feedback on your resume from experts through resume-building workshops.
Interview Preparation
Mock interview sessions with hiring managers for detailed feedback.
Job Assistance
Access to global job opportunities and virtual hiring drives with our 300+ hiring partners.
upGrad Benefits
With India's largest online higher education company, get 360 degree career support. mentorship from industry experts, networking opportunities, and more.
Get access to upGrad's career portal with 5000+ openings every month
Become interview-ready with training, mentorship sessions and resume-building tools
Make informed choices with career counselling sessions from industry experts
Our Track Record
Because words aren’t enough, we let numbers do the talking. 🙌
50% Avg. Salary Hike
400% Salary Hike Recorded
INR 73 LPA Highest Salary Offered
World-class Faculty & Industry Experts
Data Science Programs
Skills required to be a Data Scientist
Data Science is an amalgamation of maths, computing, statistics and people. Here is a list of skills that you’ll need to hone for a career in Data Science:
- A good hold in Statistics, Mathematics, and Machine learning
- No coding experience required.
- An understanding of databases
- Experience with big data tools like Hadoop, Spark, and MapReduce
- Experience with data munging, visualization, and reporting tools
Further skill development will take place through competitions, pet projects, internships, boot camps and by meeting fellow data scientists.
Career path for a Data Scientist
Below is the typical trajectory followed in a Data Science career, along with the roles and responsibilities involved:
Step #1: Executive
Executives might be MBA graduates or BBA freshers. They are typically involved in the making of CRM reports, MIS (Management Information System) and DQA (Data Quality Assessment).
Step #2: Analyst
Analysts are involved in product tech support, data munging, sales lead, CRM, data visualization, advanced statistics, MDM corrections and carry out all the roles and responsibilities related to the same.
Step #3: Business Analyst
Most people confuse business analysts with analysts, but the former is 1 step above. Hence, their concerned domains also differ and include product/ project SDLC, programming logic and solutions, vendor coordination, MDM & logics, and business processes.
Step #4: Data Architect
The role of Data Architects generally revolve around data warehousing, data architecture development, data modelling, ETL working, data cleaning, and elastic working and functionalities.
Step #5: Chief Data Officer/ Data Scientist
The CDO works with advanced data algorithms, advanced predictive algorithms, big data processing, NoSQL, and ETL logic. Their primary task is also to innovate and hence, they are the creators.
UPGRAD is
South Asia’s largest higher EdTech company.
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