Python and Data Analysis
- Python basics
- NumPy
- Pandas
- Matplotlib
- Seaborn
Course Overview
Data Science with Python
Learn the full data science workflow from analysis to machine learning and deep learning basics.
This course combines Python, data analysis, statistics, preprocessing, machine learning, and deep learning foundations into a complete career-oriented roadmap.
Duration
14 Weeks
Level
Beginner
Format
Live + Projects + Case Studies
Outcome
Career-focused roadmap
What you will learn
Analyze and visualize data with Python
Use statistics and probability in practical work
Build ML models with scikit-learn
Understand deep learning basics and neural networks
Who this course is for
Aspiring data scientists
Analysts moving into ML
Python learners seeking applied skills
Program highlights
Python, NumPy, PandasStatistics and probabilityEDA and feature engineeringMachine learning algorithmsDeep learning foundations
Curriculum
Module-wise breakdown
The roadmap is organized from fundamentals to advanced implementation, so learners can build confidence step by step.
Statistics and Probability
- Descriptive stats
- probability
- tests
- distributions
Machine Learning
- Regression
- classification
- clustering
- PCA
Deep Learning
- Perceptron
- forward/backward propagation
- activation and loss
Ready to start your data science with python journey?
Get a structured learning path, hands-on practice, and career guidance tailored to this program.