Learn Data Analytics - Machine Learning And Phyton(̶₱̶̶̶1̶̶̶3̶,̶̶̶1̶0̶̶̶0̶̶̶)̶

Day 1

✅ Introduction To Data Analytics
✅ Introduction to Python and Basic Syntax
✅ Environment Setup

Day 2

✅ Data Analysis with Python
✅ Working with NumPy and Pandas libraries
✅ Cleaning and manipulating data
✅ Basic data visualization with Matplotlib

Day 3

✅ Advanced data manipulation and cleaning techniques
✅ Advanced data visualization with Seaborn and Plotly
✅ Data analysis using real-world data

Day 4

✅ Introduction to machine learning
✅ Supervised learning: classification and regression
✅ Unsupervised learning: clustering and dimensionality reduction

Day 5

✅ Best practices for data analysis and machine learning in Python
✅ Applying data analytics and Python to a real-world project
✅ Building a simple machine learning model with Scikit-learn