Data Science With Python
Created By: Training Head
What you'll learn
- Python for Data Science
- End-to-End Data Handling
- Machine Learning Mastery
- Capstone Project
- Practical, Industry-Relevant Skills
Requirements
This program is ideal for learners with a basic understanding of programming concepts, preferably in Python. You will need a laptop or desktop with a stable internet connection to participate in the live online or offline classes and hands-on sessions. A commitment of 10–12 hours per week for the 8-week duration is recommended to keep pace with assignments, quizzes, and project work. Most importantly, you should have the curiosity and motivation to explore data-driven problem-solving using Python and machine learning.
Course Description
The Data Science with Python program is an intensive 8-week, hands-on course designed to equip learners with practical skills in data analysis, visualization, and machine learning. Starting with Python programming essentials, you’ll progress to advanced techniques like dimensionality reduction, clustering, and ensemble methods.
Using tools such as NumPy, pandas, matplotlib, seaborn, scikit-learn, and Jupyter Notebook, you’ll learn how to clean, process, and visualize data, as well as build predictive models for real-world applications. The course concludes with a capstone project, where you will develop a Python-based intelligent chatbot, showcasing your ability to integrate data science and AI into a complete solution.
Course Content
Module 1: Python for Data Science (Week 1-2)
0 lectures, hrs
Module 2: Data Analytics and Manipulation (Week 2-3)
0 lectures, hrs
Module 3: Machine Learning (ML) (Week 4-5)
0 lectures, hrs
Module 4: Advanced Machine Learning (Week 5-6)
0 lectures, hrs
Module 5: Capstone Project (Week 7-8)
0 lectures, hrs
