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Categories: Data Science Programming

About Course

This Python + Data Science course provides complete training in Python programming, data analysis, machine learning, and real-world data science projects. Students will learn to analyze data, build predictive models, and work with industry tools.

Course Duration

  • Total Duration: 6 Months
  • Mode: Classroom / Online / Hybrid
  • Includes: Real-Time Projects
  • Internship Certificate: Provided

Tools and Technologies Covered

  • Python
  • NumPy and Pandas
  • Matplotlib and Seaborn
  • Machine Learning (Scikit-Learn)
  • SQL
  • Jupyter Notebook
  • Excel
  • Power BI
  • Git and GitHub
  • Deployment Basics

Career Opportunities

  • Data Scientist
  • Data Analyst
  • Python Developer
  • Machine Learning Engineer
  • Business Analyst

What you'll learn

  • Understand Python programming fundamentals including variables, functions, OOP, and file handling
  • Analyze and process data using NumPy and Pandas libraries
  • Clean, transform, and explore datasets for meaningful insights
  • Create data visualizations using Matplotlib and Seaborn
  • Perform data analysis techniques to interpret business data
  • Write SQL queries to retrieve and manage data from databases
  • Understand machine learning concepts including regression and classification
  • Build and evaluate machine learning models using Scikit-Learn
  • Use tools like Jupyter Notebook, Excel, and Power BI for data analysis workflows
  • Work on real-world data science projects and manage code using Git and GitHub

Course Content

Module 1: Core Python Programming

  • Python Introduction and Setup
  • Variables, Data Types, Operators, Control Statements
  • Functions and Modules
  • OOP Concepts and Exception Handling
  • File Handling

Module 2: Data Analysis using Python

Module 3: Data Visualization

Module 4: SQL for Data Science

Module 5: Machine Learning

Module 6: Tools and Deployment