This Class is for :  Any Level of Students from Science Background. Participant will understand how data can be handle with Applied Math to draw inference.

Topics to be Covewred in Class:

• How to use Python to handle data.
• How to get Python from Different Frame work.
• How to make your system ready for specific work with specific Python Version
• Concept of Virtual Environment.
• Data Handling, Data Processing, Data Visualization with Python.\
• Find inner charecteristics of Data to get specific information.
• Mathmetical Knowledge transfer from Class-X to Data Science Field.
• Approach  to remove eronious data?
• Building a small function in Python to obtain specfic result from the data.

Use Cases of Data Science: Health, Insurance, Automobile, Entertainment

Key Takeaways  :

• Foundation in Data Science Concepts
• Understand Data Science Tools Used
• Hands-on Python Experience
• Problem-Solving and Analytical Thinking
• Career Preparedness

Key Requirements: gmail accounts for hands on. good internet speed. quality microphone with minimum noise.