Detailing

Whom are we training?

  • Working professionals who wanted to up-skill or re-skill
  • Faculty members
  • Participants
  • Various UG/PG colleges for their work-shop courses/ seminars which they can offer as per UG norms.
  • Conducting courses in collaboration with Universities

Different segments – defined in detail

  • Any employee wanting to switch to data-science
  • All Computers/ Statistics/ Mathematics
  • B.Tech/ M.Tech, MBA/MCA, MSc (Computers, Mathematics, Statistics)
  • All affiliated / autonomous colleges
  • All affiliated Universities or reputed Universities

What are we training on?

  • Fundamental of data-science concepts
  • Data analysis using R / Python
  • Machine learning using R / Python
  • Text-mining using R / Python
  • Deep learning using R / Python
  • A course on Visualisation

By different segments – defined in detail

  • To be updated

Mix of theory and practice

  • 60% Practical.
  • 40% Theory.
Modules offered and required investment
# Courses Target Audience Duration(Academics) Duration(Professionals)
1 Fundamentals of Data Science Graduate from any discipline/ Faculty 2 days 50 hours
2 Data Analysis with R Graduate from any discipline/ Faculty 2 days/4 days 50 hours
3 Machine Learning with R Graduate from any discipline/ MBA/M .Tech/Faculty 2 days/5 days 50 hours
4 Deep learning with R Basic Knowledge of ML/MBA/ M.Tech/M.Sc./Faculty 2 days/5 days 50 hours
5 Text mining with R Graduate from any discipline/ MBA/M .Tech/M.Sc./Faculty 2 days/5 days 50 hours
6 Data Analysis with Python Graduate from any discipline/ Faculty 2 days/4 days 50 hours
7 Machine Learning with Python Graduate from any discipline/ MBA/M .Tech/Faculty 2 days/5 days 50 hours
8 Deep learning with Python Basic Knowledge of ML/MBA/M .Tech/M.Sc./Faculty 2 days/5 days 50 hours
9 Text mining with Python Graduate from any discipline/ MBA/M .Tech/M.Sc./Faculty 2 days/5 days 50 hours
10 Visual analytics Graduate from any discipline/ MBA/M .Tech/M.Sc./Faculty 2 days/5 days 50 hours

The support we seek from the University/Institute:

  • Seminar Hall
  • Projector
  • Internet Connectivity
  • Mikes of better sound quality
  • Systems/Laptops