infyni

Current Opportunities in Data Science

If you are passionate about computers, mathematics, and finding solutions to minor and major problems through data analysis, then a career in data science is what you should pursue. Join our webinar to find out what options you have.

Live Course

Live Class: Wednesday, 19 Oct

Duration: 1 Hour

Enrolled: 1

Offered by: infyni

Live Course

About Course

There has never been a better time to be a Data Scientist than now. And today, you don’t need to have an engineering or computer science background to learn Data Science. What is even more interesting is that the demand for data scientists will only grow, as organizations are increasingly relying on data-driven insights.

This webinar is open to working professionals, job seekers and graduates who have completed under graduation in any discipline.

Below are some of the careers you can break into with a Data Science course. 

  1. Data Scientist

  2. Machine Learning Engineer

  3. Machine Learning Scientist

  4. Applications Architect

  5. Enterprise Architect

  6. Data Architect

  7. Infrastructure Architect

  8. Data Engineer

  9. Business Intelligence (BI) Developer

  10. Statistician

Skills You Will Gain

Data Scientist Machine Learning Business Intelligence Data Science With Python Data Science Applications

Course Offerings

  • Instructor-led interactive classes
  • Clarify your doubts during class
  • Access recordings of the class
  • Attend on mobile or tablet
  • Live projects to practice
  • Case studies to learn from
  • Lifetime mentorship support
  • Industry specific curriculum
  • Certificate of completion
  • Employability opportunity
  • Topics
  • Instructor (1)
  • What is Data Science?
  • What purpose can it serve?
  • What can Data Science do for businesses and corporates?
  • What are the latest trends Data Science has made in the IT industry?
  • Who do Data scientists do?
  • What are the applications of Data Science?
  • Learning Data Science With Python – Libraries
  • Data Scientist versus Data Analyst