Data Science And Analysis: Make DataFrames in Pandas And Python
- Offered byEduonix
Data Science And Analysis: Make DataFrames in Pandas And Python at Eduonix Overview
Duration | 31 hours |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Intermediate |
Credential | Certificate |
Data Science And Analysis: Make DataFrames in Pandas And Python at Eduonix Highlights
- Start instantly and learn at your own schedule.
- Lifetime Access. No Limits!
- A great course for learning Data Science
- Self paced Course
Data Science And Analysis: Make DataFrames in Pandas And Python at Eduonix Course details
- 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.
Data Science And Analysis: Make DataFrames in Pandas And Python at Eduonix Curriculum
Section 1 : Introduction to Python
Introduction
Section 2 : Basics of Programming
Variables
Functions
IfStatements
Section 3 : Lists
Introduction to Lists
Section 4 : Loops
Introduction To And Examples Using For Loops
Getting Familiar With While Loops
Breaking And Continuing In Loops
Making Shapes With Loops
Nested Loops And Printing A Tic-tac-toe Field
Section 5 : Sets and Dictionaries
Understanding Sets and Dictionaries
An example for an inventory list
Section 6 : Input and Output
Introduction and implementation of Input and Output
Introduction to and Integrating File Input and Output
An example for a tic-tac-toe game part 1
An example of a tic-tac-toe game part 2
An example writing participant data to file
An example reading participant data from file
Doing some simple statistics with participant data from file
Section 7 : Classes
A first look at classes
Inheritance and classes
An example of classes using pets
An example of classes using pets - dogs
An example of classes using pets - cats
Taking the pets example further and adding humans
Section 8 : Importing
Introduction to importing and the random library
Another way of importing and using lists with random
Using the time Library
Introduction to the math library
Creating a user guessing game with random
Making the computer guess a random number
Section 9 : Project - Blackjack game
Blackjack game Part 1: creating and shuffling a deck
Blackjack Game Part 2: Creating the Player Class
Blackjack game Part 3: Expanding the Player Class
Blackjack game Part 4: Implementing a bet and Win
Blackjack game Part 5: Implementing the Player moves
Blackjack game
Part 6: Running the Game (Final)
Section 10 : Error Handling
Getting Started with Error Handling
Section 11 : Pandas
Setting up Pandas
Section 12 : Datastructures
Creating a DataFrame
Sorting and Series
Expanding a Dataframe
Section 13 : Manipulating Dataframes
Getting Values and dealing with NaN Values
Dropping rows and columns
Section 14 : Reading and Writing Data
Reading from CSV
Writing to CSV
Section 15 : Analytical Approaches to Data
Starting with an analysis
Locating data by labels
Statistical description of data
Histogram plots in pandas
Starting an analysis of all our data
Continuing an analysis of all our data