Data Science with Python Syllabus

Data Science with Python

Master Python, Statistics, Data Analysis, Data Visualization, and Machine Learning with hands-on projects and real-world datasets. This comprehensive program takes you from Python fundamentals to advanced machine learning techniques using industry-standard tools and libraries.

Pre Requisite

No prior programming experience is required. Basic knowledge of:

• Computer fundamentals
• Mathematics and statistics fundamentals
• Logical and analytical thinking
• Internet-enabled system

Description

The Data Science with Python program provides comprehensive training in Python programming, statistics, data analysis, data visualization, and machine learning.

Students will learn:

• Python programming fundamentals and object-oriented concepts
• Statistical concepts and probability for data-driven decision making
• NumPy and Pandas for data manipulation and analysis
• Data visualization using Matplotlib and Seaborn
• Scientific computing with SciPy
• SQL integration with Python and exception handling
• Data cleaning and preprocessing techniques
• Machine learning using Scikit-Learn
• Natural Language Processing (NLP) fundamentals
• Real-world data science projects and case studies

By the end of the program, learners will be able to analyze complex datasets, build predictive models, visualize insights, and develop end-to-end data science solutions using Python and industry-standard libraries.