Data Science
Best Data Science Course with Python, ML & Projects
Learn Python, statistics, SQL, data visualization, machine learning and capstone projects with practical data science training.
Curriculum
Data Science Course Curriculum
Step-by-step course modules designed for practical learning and career preparation.
Module 1
Data Science Foundations
- Introduction to Data Science
- Types of data and business problems
- Statistics basics
- Data science workflow
Module 2
Python for Data Science
- Python basics
- NumPy arrays
- Pandas DataFrames
- Data cleaning and transformation
Module 3
Data Visualization
- Matplotlib
- Seaborn
- Charts and dashboards
- Data storytelling
Module 4
SQL for Analytics
- SELECT, WHERE, GROUP BY
- Joins and subqueries
- Analytics queries
- Case studies
Module 5
Machine Learning
- Regression
- Classification
- Clustering
- Model evaluation
Module 6
Capstone Project
- End-to-end project
- Report preparation
- Portfolio presentation
- Interview discussion
Projects
Project Work Included
Build practical projects that can be added to your resume and discussed during interviews.
Sales prediction model
Customer churn analysis
Student performance analysis
Business dashboard with insights
Career Outcome
What You Can Do After This Course
This course helps you build practical skills, complete assignments, create projects and prepare for internships or entry-level roles.
- Understand core concepts and tools
- Work on practical assignments
- Create portfolio-ready projects
- Prepare for interviews and technical discussions
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Website: bestdatascienceinstitute.com
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