About Course
- Under the Curriculum section, click Add New Topic for each major topic in the Data Science syllabus.
- Topic Names could include:
- Introduction to Data Science
- Python for Data Science
- Statistics and Probability
- Data Cleaning and Preprocessing
- Machine Learning (Supervised/Unsupervised)
- Data Visualization
- Capstone Project
- Topic Names could include:
- For each Lesson, add a title and lesson content (text, video, quizzes). You can upload videos, PDFs, or even external links.
Course Content
What is Data Science?
3 Lectures . 00h:00min
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What is Data Science?
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Tools and Technologies Used
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Overview of Data Science Pipeline
Python Basics: Variables, Data Types
3 Lectures . 00h:00min
Descriptive Statistics
3 Lectures . 00h:00min
Handling Missing Data
3 Lectures . 00h:00min
Introduction to Supervised Learning (Regression, Classification)
3 Lectures . 00h:00min
Matplotlib and Seaborn for Data Visualization
3 Lectures . 00h:00min
Real-world Data Science Project
3 Lectures . 00h:00min
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