Courses

Data Science Courses

Whether you’re 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, how to clean it, draw inferences from it and then visualise it to effectively communicate your findings. With a focus on hands-on learning, you’ll also work on various projects and assignments in domains like e-commerce, finance, entertainment and many more.

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Why Data Science?
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.
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.
How to be a Data Scientist?
Ideal educational qualifications:
  • Bachelor’s degree in IT, Computer Science, Maths, or a related field.
  • Master’s degree in Data Science or a related field.
  • Experience in the field you want to work in (physics, healthcare, pharma, etc.)
Ideal pre-requisite knowledge:
  • Knowledge of statistics, mathematics and machine learning
  • Coding in R or Python
  • Ability to study databases: the data types, the technologies used to store them, and how they are retrieved
  • Knowledge of tools like Hadoop, Spark, and MapReduce. Couple these with visualization and data reporting tools like Tableau.
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.
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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
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
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
PG Diploma in Data Science | Online + Offline
PG Diploma in Data Science | Online + Offline | 12 months
Learn in-demand skills with 22 classroom lectures in IIIT-B's campus and 400+ hours of online learning
Program Level
Advance
Duration
12 Months
Hours of Learning
400+
No of Case Studies
7
Master of Science in Data Science
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
PG Certification in Data Science | 5 months
Become a Data Analyst by learning how Gramener identifies credit defaulters and lots more
Program Level
Advance
Duration
5 Months
Hours of Learning
200+
No of Case Studies
5
The upGrad Advantage
Strong hand-holding with dedicated support to help you master Data Science
  • Industry Mentors
    • Receive unparalleled guidance from industry mentors, teaching assistants and graders
    • Receive one-on-one feedback on submissions and personalised feedbacks on improvement
    Student Success Mentors
    • A dedicated Success Mentors is allocated to each student so as to ensure consistent progress
    • Success Mentors are your single points of contact for all your non-academic queries
  • Q&A Forum
    • Timely doubt resolution by Industry experts and peers
    • 100% Expert-verified responses to ensure quality learning
    Expert Feedback
    • Personalised expert feedback on assignments and projects
    • Regular live sessions by experts to clarify concept related doubts
  • upGrad BaseCamp
    • Fun-packed, informative and career building workshops Sessions by industry professionals and professors
    • Group activities with your peers and alumni
    Industry Networking
    • Live sessions by experts on various industry topics
    • One-on-one discussion and feedback sessions with industry mentors

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