Data Science and Machine Learning
Start Your Data Science Journey Data Science is one of the most in-demand fields in the world. This course teaches you the essentials of data analysis, visualization, and machine learning using Python. Learn libraries like Pandas, NumPy, Matplotlib, and Scikit-learn. By the end of this course, you will be equipped to work on real-world data projects and gain insights from data. • Data cleaning and preprocessing • Exploratory Data Analysis (EDA) • Build predictive models Unlock the Power of Data This course provides a comprehensive introduction to data science and machine learning. You will learn how to analyze data, build predictive models, and apply machine learning algorithms to real-world problems. By the end of this course, you will have a solid understanding of data manipulation, visualization, and machine learning techniques, enabling you to make data-driven decisions. • Understand data analysis and visualization • Learn machine learning algorithms and their applications • Work with popular data science libraries like Pandas and Scikit-Learn
- Chapters
- 4
- Topics
- 8
- Lectures
- 4
- Video time
- 50m
Chapters
1Chapter 1 – Python for Data Science2 topics · 0 lectures
- Python Basics
Lectures coming soon
- Working with NumPy
Lectures coming soon
2Chapter 2 – Data Visualization2 topics · 0 lectures
- Introduction to Matplotlib
Lectures coming soon
- Advanced Visualizations with Seaborn
Lectures coming soon
3Chapter 3 – Introduction to Data Science2 topics · 2 lectures · 22m
4Chapter 4 – Machine Learning Basics2 topics · 2 lectures · 28m