Python Programming

Description

Program Overview

(Python Programming for Data Science)

1. About the course: -

This course provides a good understanding of Python, the most popular

programming languages in the world. It covers data structures, data processing, data

visualization, predictive modelling with complete hands-on activities and creating projects. It

equips learners to apply Python for data science as well as programming in general. By doing

this course students will be able to develop relevant programming abilities in field of data

science, demonstrate proficiency with statistical analysis of data, develop the ability to build

and assess data-based models and demonstrate skill in data management.

2. Course Objective: -

• To develop relevant programming abilities in field of data science.

• To demonstrate proficiency with statistical analysis of data.

• To develop the ability to build and assess data-based models.

• To demonstrate skills in data management.

3. Learning outcomes: -

 • Install and run the Python interpreter

 • Create and execute Python programs

 • Understand the concepts of file I/O

• Be able to read data from a text file using Python

 • Build Real application with Python

4. Medium of Instruction or recording: -

• Hindi and English

5. Minimum Eligibility: -

• 12th pass or its equivalent from a recognized Board or

University.

6. Pre-requisite: -

• No prior knowledge of Programming language/Computer exposure is

required.

7. Maximum Duration: -

• 60 days

8. Hardware Requirement (Minimum Specification): -

• Processor: Intel i3 7th Generations or Higher

• RAM: 4GB

• Graphic Card: Not Required

• Storage: 256 GB

9. Software Requirement: -

• Anaconda

• OS: Windows* Linux* macOS*

10. Course Break-up: -

This course is delivered as a blended program. It means it includes

Recorded sessions and Live Sessions as well. The duration of each topic (Live or Recorded)

varies, depending of the nature and need of the topic.

11. Qualifying Marks: -

• To get the certificate of completion, a student needs to obtain

minimum 40 % aggregate marks.

12. Assessment: -

Assessment of each student will be done on the basis of their score in

Quizzes, assignment submitted (through Jupyter Notebook), presence and interaction in live

classes and finally completion of the course within the stipulated time period or before the

expiry of their validity. Assessment and marking in assignments and live classes is done by

the faculties of Boston Training Academy.

13. Assignment Submission Deadline: - 

• On or before 7 days from release of assignment.

14. Grading: -

• The grades are allocated as follows.

15. Job Opportunities : -

• Junior Data Scientist

• Business Analyst

• Assistant Manager- Analytics

16. Certification: -

Certificate of completion is provided jointly by CSC Academy and Boston

Training Academy.