Data Science And Analysis: Make DataFrames in Pandas And Python
This course was funded by a wildly successful Kickstarter. Let's learn data analysis with pandas and Python! This course is suitable for coding beginners because we begin with a complete introducti...
- All levels
- English
Course Description
This course was funded by a wildly successful Kickstarter. Let's learn data analysis with pandas and Python! This course is suitable for coding beginners because we begin with a complete introduction to coding. Then we delve deep into using pandas, an open source library with high-performance and easy-to-use data structures and data analysis tools written for Python.
This course was funded by a wildly successful Kickstarter. Let's learn data analysis with pandas and Python! This course is suitable for coding beginners because we begin with a complete introduction to coding. Then we delve deep into using pandas, an open source library with high-performance and easy-to-use data structures and data analysis tools written for Python.
What you’ll learn
- you learn how to use Python,
- You learn the basics of programming
- You learn about data structures such as lists, dictionaries, and sets
- You learn classes, methods, attributes,expand a dataframe
- You learn how to get values from data and how to handle NaN values
- ou learn how to read and write data from and to the comma-separated values (CSV) file format
Covering Topics
Section 1 : Introduction to Python
Section 2 : Basics of Programming
Section 3 : Lists
Section 4 : Loops
Section 5 : Sets and Dictionaries
Section 6 : Input and Output
Section 7 : Classes
Section 8 : Importing
Section 9 : Project - Blackjack game
Section 10 : Error Handling
Section 11 : Pandas
Section 12 : Datastructures
Section 13 : Manipulating Dataframes
Section 14 : Reading and Writing Data
Section 15 : Analytical Approaches to Data
Curriculum
Frequently Asked Questions
This course includes
- Lectures 52
- Duration 21 Hour
- Language English
- Certificate No