Apna College Data Science Course ((top)) -

8-Week Guide: Apna College — Data Science Course (Assumed cohort-style, beginner→job-ready)

I. Depth of Advanced Topics

Phase 4: Machine Learning Algorithms (The Core)

Duration:

The course is structured for individuals ranging from students to working professionals, focusing on practical skills and job readiness. Approximately 4.5 months . Key Modules:

• SQL (Structured Query Language): Essential for database management. Covers queries, joins, and nested queries.
• Statistics: Both descriptive and inferential statistics, which are crucial for understanding data distributions and hypothesis testing.
• Machine Learning: Implementation of algorithms like Linear Regression, Logistic Regression, Decision Trees, and Clustering using Scikit-Learn.

7. Conclusion

1. Educational Background: Students should have a bachelor's degree in any discipline, including computer science, mathematics, statistics, or engineering.
2. Technical Skills: Students should have basic programming skills in Python or R.
3. No prior experience: No prior experience in data science is required.

Fees and Payment