Data Science & Analytics
//Course Overview//
Learn how to analyze data, generate insights, and make data-driven decisions using modern tools and techniques. This course is designed to help you become proficient in data analysis, visualization, and basic machine learning.
What You Will Learn
- Data analysis fundamentals
- Python for data science
- Data cleaning & preprocessing
- Data visualization techniques
- Statistics basics
- Machine learning introduction
- Working with real-world datasets
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Rahul Sharma
"The teaching style is very easy to understand. I got my first freelance project after this course."
Priya Verma
"Best platform for beginners. Support and guidance are excellent!"
Amit Kumar
//Course Curriculum//
Module 1: Introduction to Data Science
- What is Data Science
- Data lifecycle
- Tools & setup
Module 2: Python for Data Science
- Python basics
- NumPy & Pandas
- Data handling
Module 3: Data Analysis
- Data cleaning
- Exploratory Data Analysis (EDA)
- Data transformation
Module 4: Data Visualization
- Charts & graphs
- Matplotlib & Seaborn
- Dashboard basics
Module 5: Statistics & Machine Learning
- Descriptive statistics
- Regression basics
- ML introduction
Module 6: Projects & Case Studies
- Real-world datasets
- Business insights
- Final project
