Data Science with Python

This program provides a practical and comprehensive introduction to Data Science using Python. Participants will learn how to collect, process, analyze, visualize, and interpret data to support business intelligence and predictive analytics. The program focuses on hands-on analytical workflows using Python libraries and tools commonly used in modern data science and AI projects. It is designed for learners who want to build analytical and problem-solving skills using real-world datasets and data-driven methodologies.

Foundations of Data Science

• Introduction to Data Science concepts

• Understanding data-driven decision making

• Data Science lifecycle and workflows

• Real-world applications across industries

• Overview of Python in data science

Python for Data Analysis

• Python fundamentals for data science

• Working with NumPy and Pandas

• Data import, cleaning, and transformation

• Handling structured and unstructured data

• Data manipulation techniques

Data Visualization & Exploratory Analysis

• Creating charts and visualizations

• Identifying trends and patterns in data

• Exploratory data analysis techniques

• Data storytelling and reporting

• Visualization best practices

Statistical Analysis & Predictive Modeling

• Descriptive and inferential statistics

• Correlation and regression analysis

• Introduction to predictive analytics

• Building basic machine learning models

• Evaluating analytical results

Real-World Data Science Applications

• Business intelligence and analytics use cases

• Customer behavior and market analysis

• Forecasting and predictive insights

• Data-driven automation opportunities

• Future trends in Data Science and AI