+91 63601 23191 Kudlu Gate Signal, Hosur Road, Bangalore


data science
  • Data Science Essentials is a Certificate program from Bhrighu. 
  • The data science essentials certificate program is primarily aimed at final year students pursuing non-data science & non-computer science engineering courses and students from other arts and science streams. 
  • The data science essentials is an excellent opportunity for fresher’s wishing to equip themselves with skill sets in data science even if they do not have engineering, core mathematics backgrounds. 
  • The program offers a simplistic approach to mastering data science and being considered for typical roles in the market like business analyst, data analyst, visualization specialist etc
who should attend

Who Should Attend

  • “Final year students who are looking in improve their chances of employability and therefore become ‘industry context ready’.
  • If you are someone who is looking to quickly merge with the work force in the firm and start contributing to business results from the word go.
  • If you are looking to beef up your fundamentals with application and experience of industry cases then this program is for you.
  • The program is designed to accommodate learners from science, technology & maths background as well as those without science & matth backgrounds.
  • The program is designed to equip you to take on Business Analyst, Data Analyst, Data Scientist, Data Visualization Experts, Machine Learning Engineer, Data Architect roles which reputed Indian organizations and MNCs recruit regulary in large numbers.”
learning 2 png

What The Learner Will Learn

  •  A Certificate of program completion upon completion of all the modules + assignments + project work.
  • Digital badge for select learners.
  • Alumni of Bhrighu Academy of E-Learning
  • Access to Bhrighu’s Talent Exchange
learning png

Discover A New Way To Learn

  • The technology platform at BAEL provides a GPS type of clear & structured pathway for learning that involves mapping out a clear and structured learning path to help students navigate their way towards their desired destination or goal.
  • A combination of real-world examples, hands-on experience, collaborating with industry professionals, use of technology and inter disciplinary learning opportunity will help the students develop the skills and knowledge required to succeed in the industry
  • BAEL will offer live cases which will allow students to work on real-life problems faced by businesses, giving them the opportunity to apply their knowledge and skills in a practical setting. This helps students develop critical thinking, problem-solving, and decision-making skills, which are highly valued by employers.
  • Social learning activities – BAEL’s program design puts emphasis on social learning activities such as collaboration and teamwork, feedback and evaluation, knowledge sharing, networking, and exposure to diverse perspectives.
  • Improved employability – BAEL will offer placement assistance to all students who successfully complete the program.


  • Target Audience
    • Final year students in an undergraduate program.
    • Students pursuing engineering in non data-science / computer science disciplines.
    • Students pursuing graduation in other disciplines having minimal maths, statistics, coding, programming and science subjects.
    • Pathway-1 includes learning foundation topics and the basic theory essential before taking up the core topics of data science.
    • 10 hours’ time investment each week
    • Total 450 hours
    • 6 months duration


  • Target Audience
    • Final year students in an undergraduate program.
    • Students pursuing engineering in data-science / computer science disciplines
    • Students who have some knowledge of programming & coding.
    • Pathway-2 will suit students who do not need to go through a foundation module.
    • 10 hours’ time investment each week
    • Total 300 hours
    • 4 months duration


  • There will be 7 modules that will be covered under the program. Bhrigu believes that it is crucial to provide a well-rounded curriculum that covers both foundation + elective modules to cater to specific needs and interests of each learner.
  • Listed below are some foundation topics and potential electives that we would offer.
recipe tracks
  • The choice of electives is offered to cater to specific needs and competencies of individual learners.  
  • The foundation + elective approach ensures that participants gain a comprehensive understanding of data science fundamentals while also delving deeper into areas relevant to their likes and preferences