About The Course
This course is a comprehensive program crafted to build real, job-ready skills in AI and data science using the latest tools and techniques. It blends theory with real-world application through expert-led sessions and hands-on projects. Over several weeks, participants will dive deep into how data and AI are transforming industries, from analyzing large datasets to building and deploying intelligent models.
- Understand the fundamentals of AI and data science
- Learn to clean, structure, and analyze real-world datasets
- Build and evaluate machine learning models from scratch
- Use data visualization to uncover insights and trends
- Apply statistics and probability to real business problems
- Integrate AI/ML tools into practical, hands-on projects
- Analyze model performance using industry-standard metrics
- Stay ahead with the latest AI and data science trends
Skills You’ll Gain
Python for Data Science
Data Cleaning & Analysis
Machine Learning Basics
Data Visualization
Statistics & Probability
Model Evaluation
SQL for Analytics
AI/ML Tools
What will you learn?
Course content
Week 1 - Python Basics for Data Analysis
02:15
Week 2 - Working with Pandas: DataFrames & Data Wrangling
03:00
Week 3 - Data Visualization with Matplotlib & Seaborn
02:40
Week 4 - NumPy for Numerical Computing
02:55
Week 5 - Working with Real-World Datasets
03:20
Week 6 - Automating Analysis with Python Scripts
02:10
Week 7 - Capstone: Full Data Analysis Report
04:00
Bonus - Tips & Tricks to Speed Up Your Python Workflow
01:30
Who Will Benefit From This Course?
Aspiring Data Analysts & Data Scientists
Software Engineers moving into AI/ML
Students & fresh graduates in tech
Startup Founders & Entrepreneurs
Professionals shifting into AI and data roles
Professional Certificate
Certificate of completion
25.01.2025
Python for Data Analysis
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