This online course is designed to equip you with the skills and knowledge needed to efficiently and effectively manipulate and analyze data using two powerful Python libraries: Pandas and NumPy. In this course, you will start by learning the fundamentals of data wrangling, including the different types of data and data cleaning techniques. You will then dive into the NumPy library, exploring its powerful features for working with N-dimensional arrays and universal functions.
Next, you will explore the Pandas library, which offers powerful tools for data manipulation, including data structures and data frame manipulation. You will learn how to use advanced Pandas functions, manipulate time and time series data, and read and write data with Pandas. Throughout the course, you will engage in hands-on exercises and practice problems to reinforce your learning and build your skills. By the end of the course, you will be able to effectively wrangle and analyze data using Pandas and NumPy, and create compelling data visualizations using these tools.
Whether you’re a data analyst, data scientist, or data enthusiast, this course will give you the skills you need to take your data wrangling and analysis to the next level.
Content Table:
- Lesson 1: Introduction to Data Wrangling
- Lesson 2: Introduction to NumPy
- Lesson 3: Data structure in Pandas
- Lesson 4: Pandas DataFrame Manipulation
- Lesson 5: Advanced Pandas Functions
- Lesson 6: Time and Time Series in Pandas
- Lesson 7: Reading and Writing Data with Pandas
- Lesson 8: Data Visualization with Pandas
Practice Exercises
