Welcome to the world of data science! In this course, you will learn the fundamentals of data science, including data manipulation, analysis, and visualization.
Course Outline
Introduction to Data Science
- What is data science?
- The importance of data science in today's world
Data Manipulation
- Introduction to Python
- Data types and structures
- Data cleaning and transformation
Data Analysis
- Descriptive statistics
- Inferential statistics
- Hypothesis testing
Data Visualization
- Introduction to matplotlib and seaborn
- Creating various types of plots
- Interactive visualizations
Key Concepts
Data Science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data.
Python is a popular programming language for data science due to its simplicity and the vast number of libraries available for data manipulation and analysis.
Data visualization is an essential part of data science, as it helps to communicate insights and patterns in data more effectively.
Additional Resources
For more information on data science, check out our Introduction to Data Science Course.