Upcoming Batches | Class Timings | Course Duration |
---|---|---|
May 2 | 7:30 AM to 9 AM | 30 hours |
May 18 | 7:30 AM to 9 AM | 30 hours |
Upcoming Batches | Class Timings | Course Duration |
---|---|---|
May 7 | Flexible Timings | 30 hours |
June 11 | Flexible Timings | 30 hours |
Covid-19 Update!! We have enabled all courses through virtual classroom facility using Skype or Zoom. Don't stop learning. Enjoy Learning from Home.
Data science is a multidisciplinary blend which uses different methods, algorithms and Systems to extract knowledge and insights from the business data which is at various forms like structured and unstructured. Using Python Data Analysis Library Pandas, everything can be taken care from importing data from Excel till processing sets for time-series analysis. As one of the best Data Science training institutes in Bangalore BTM layout, TIB Academy offers you Data Science with Python course that will let the student to completely utilize its core concepts and create code that is simple yet fully functional and strong.
Choosing this Data science course with Python at our Data Science training institute in BTM Layout gives you a complete knowledge and practice about data acquisition, data preparation, data cleaning, data analysis, data handling, data visualisation, statistical data modelling and machine learning effectively with practical examples and case studies making it one of the most practical learning. Modelling can be done using Python, SAS or R.
Our TIB Academy offers two modes of training such as online Data science course with Python and classroom Data Science training. The students choose their preferred mode of training. TIB Academy provides coaching by highly qualified Data science Python professionals who have years of industry experience. The students are provided with course materials & case studies which are prepared by the Data Science experts.
Upcoming Batches | Class Timings | Course Duration |
---|---|---|
May 2 | 7:30 AM to 9 AM | 30 hours |
May 18 | 7:30 AM to 9 AM | 30 hours |
Upcoming Batches | Class Timings | Course Duration |
---|---|---|
May 7 | Flexible Timings | 30 hours |
June 11 | Flexible Timings | 30 hours |