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- Data Science (1)
- Machine Learning (2)
- Management (1)
- Software & Technology (1)
Data Science Courses
Whether you are an amateur or a professional, Data Science courses with upGrad will equip you with the practical and theoretical knowledge required in order to become a successful Data Scientist. You will get to study about open source tools and libraries, Python, databases, SQL, data visualization, data analysis and machine learning. You will also learn what questions to ask when faced with data, draw inferences from it and then visualise it to effectively communicate your findings. With a focus on hands-on learning, you will also work on various projects and assignments in domains like e-commerce, finance, entertainment and many more.
4000+
Learners of Data Science
300+
Hiring Partners
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Programs in Data science (5 to 18 months)
Anyone including novices, statisticians, information architects, developers, big data professionals, business analysts, or someone who is simply curious about this rapidly growing field can take a course that fits their needs and can confidently take the next step in their Data Science journey.
PG Diploma in Data Science | 12 months
Become a Data Scientist and learn how Uber bridges its supply-demand gap and lots more
Program Level
Advance
Duration
12 Months
Hours of Learning
400+
No of Case Studies
7
Master of Science in Data Science | 18 months
Pursue an integrated Master's Program in Data Science from IIIT-B and LJMU
Program Level
Advance
Duration
18 Months
Hours of Learning
400+
No of Case Studies
7
PG Certification in Data Science | 7 months
Become a Data Analyst by learning how Gramener identifies credit defaulters and lots more
Program Level
Advance
Duration
7 Months
Hours of Learning
200+
No of Case Studies
5
Why Learn Data Science?
According to a report by the US Bureau of Labour Statistics, the rise of data science needs will create approximately 11.5 million job openings by 2026. The World Economic Forum predicts that by 2022, data scientists and analysts will become the number one emerging role in the world.
India is the second most prominent hub of such positions after the United States. So, data science is a highly employable and appealing sector as per the current industry trends.
Data science, as a field, has established itself as a top career option. Its importance in business cannot be downplayed. Experts already rate it as one of the highest-paying careers of the 21st century. Government, as well as private organisations are on the lookout for competent Data Scientists and there exists a scarcity of the same.
In 2017, McKinsey estimated that bad data could be costing the US government roughly $3.1 trillion a year. On the other hand, the country can also save $300 billion to $450 billion on healthcare expenditure through concentrated data initiatives.
The overwhelming value that Data Science provides to organisations, economies, and the people is why it has exploded in the past few years and why companies are willing to pay high-salaries to the people with the right skill sets.
How to be a Data Scientist?
Ideal educational qualifications:
Bachelor's degree, A graduate (engineering or equivalent).
Ideal pre-requisite knowledge:
- Bachelor’s degree
- No coding experience required
- Engineers, Marketing Professionals, Software & IT Professionals can do Data Science programs
Data Science requires mastering various skills and programming languages like:
- - Python or R
- - Mathematics and Statistics
- - Algorithms
- - Data Visualizations
- - Spark, SQL, NoSQL
- - Hadoop
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Programming Languages and Tools Covered
Professional Certificate In Data Science
The Data Science courses provided by upGrad will make you industry-ready. Our courses allow you the flexibility to choose a course depending on your current skill level, your career aspirations and the time that you are willing to devote.
You’ll get to study the basic as well as advanced Data Science concepts in the fields of statistics, machine learning, programming and incorporate them with Data Science.
In the statistics domain, you’ll learn about probability, regression and inference, to name a few. Segments on machine learning will prepare you design algorithms that learn on their own. SQL and Hadoop will help you to deal with large volumes of data- access it, manipulate it and break it. Programming will help you put all of this into practice and derive the insights and results you want.
The case studies for the Data Science certification program have been carefully chosen from a variety of fields so that no matter which one you go in, you will be able to apply your Data Science skills. These skills can be used in the fields of banking, finance, entertainment, pharmaceutical, environment, economics and many more.
What you learn:
- Fundamental programming skills
- Implementing machine learning algorithms
- Using data visualization and reporting tools for real-world scenarios
- Theoretical and practical aspects of statistical concepts like inference, probability, Bayes Theorem, modeling
- Putting it all into practice through case studies and projects
Instructors
Learn from India’s leading Data Science faculty & industry leaders
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
- Fluency in a coding language, probably R or Python
- 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.
Benefits with upGrad
360 Degree Career Support services, Personalised Mentorship from Industry Experts, Hands-on Projects & Hackathons, Peer Networking opportunities & a whole lot more to help you master Machine Learning & AI.
- upGrad Opportunities
- upGrad Elevate: Virtual hiring drive giving you the opportunity to interview with upGrad's 300+ hiring partners
- Job Opportunities Portal: Gain exclusive access to upGrad's Job Opportunities portal which has 100+ openings from upGrad's hiring partners at any given time
- Relevant Internship opportunities for learners open to gaining hands-on experience
- Top performers in Hacakthons will have the opportunity to interview with the host company
- Post graduation Career Support: live sessions with industry mentors to guide you, dedicated mentorship, & access to upGrad’s career assistance resources.
- Interview Prep & Resume Building
- Get 1:1 Resume Review Sessions with Industry Experts & a dedicated Career Mentor
- Profile Building Workshops: Live sessions on how to build your profile - be it your resume or GitHub profile
- Explore 100+ commonly asked interview questions across modules
Company Specific Preparation- Just-in-Time Interviews: Get company & role-specific preparation with mock interviews right before your actual interviews
- Access to a carefully curated pool of interview resources per company to ensure you're interview-ready
- Industry Expert Mentorship
- Fortnightly personalised group (1:8) mentorship sessions with industry experts for pro-active mentoring
- Calls with industry experts for personalised feedback & guidance spread over 3 months
- Live interactive sessions with leading industry experts covering curriculum + advanced topics
Dedicated upGrad Mentors- Student Success Mentor to track your program progress & aid you at every point with all doubts
- A dedicated Career mentor to help track your weekly company application targets, coach you on your profile and assist with your career transition journey
Our Hiring Partners
Opening the doors to the best in the industry such as:
Over 500 Careers Transformed
Learn more about successful career transitions in the
50%
inc. in Salary
The curriculum and program is very structured and easy to consume. The mock calls and encouraging words from the CEO before my interview were extremely encouraging.
Research Assistant
News Analyst
The support of upGrad student mentors in the course was a crucial part. I followed them and they helped a lot in clarifying my queries. There was also placement assistance given where you are perfectly guided on how to start a career as a Data Analyst.
Fresher
Product Analyst
200%
inc. in Salary
The program has been absolutely fantastic. The mentorship through industry veterans, BaseCamps, and student mentors makes the program extremely engaging. I would definitely endorse the program for its rich content and comprehensive approach to Data Science.
Business Systems Analyst
Business Analyst
The program's content was so well structured that it helped me grasp concepts very new to me. I was able to secure a job at Kantar Analytics through upGrad's placement drive.
Fresher
Data Analyst
The mock interviews at upGrad was very helpful since it was catered to the kind of role I was looking to get into. The feedback was extremely useful and also helped me gain confidence before the main interview.
Data Consultant
Business Analyst
100%
inc. in Salary
Learning with upGrad was like going back to University for me. Their career support and mentorship calls really helped me switch to a career in the field of Data Science.
Software Engineer
Data Analyst
58%
Average Salary Hike
72L
Highest Salary
500+
Career Transitions
300+
Hiring Partners
Career Counselling
Get personalised career paths traced by experts to ascertain the best opportunities
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Resume Feedback
Obtain specific, personalised inputs on your resume structure and content
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Interview Preparation
Get unlimited mock interview sessions with hiring managers and receive detailed feedback
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Job Assistance
Get an opportunity to interview for upGrad's 300+ hiring partners with upGrad Career Fairs & more
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Data Science Articles
Find the latest and informative post on Data Science. Keep yourself updated, know the current trends in Data Science industry and use cases for data viz and data storytelling.
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Interesting Data Structure Project Ideas
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26 Data Analyst Interview Questions & Answers
Before attending a data analysis interview, it is better to have an idea of the type of data analyst interview questions can be asked.
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