Introduction to Python for Data Analysis

Contenu du cours

Introduction to Python for Data Analysis

Introduction to Python for Data Analysis

1. Introduction to Python 1/2

First Step in Programming Deal with Variables Practice Math Skills Challenge Deal with Percents How to Attract One User?Challenge Learn Numbers Boolean Numbers Challenge Work with Strings Get Familiar with Lists How to Append New Element?

2. Introduction to Python 2/2

If/Else Challenge If/Elif/Else Challenge For Loop While Loop Challenge

3. Explore Dataset

Data Study Operations with the File How to Explore the Data Sorting Data Max, min, mean, median Challenge Group Data Dive Deeper into Grouping Data Group Data 2.0 Introduction to NumPy Pivot Tables Recall Loops .loc Function Deal with Several Conditions Challenge Visualization: First Steps Dive Deeper into Visualization

4. Becoming an Analyst

Data Study Examine Dataset Challenge СAC 1/2 CAC 2/2 Costly Customers Organic Traffic How Much Do We Earn Is Our Project Profitable? ROI 1/2 ROI 2/2 Visualize ROI

Deal with Variables

Another crucial term for coding is variables. The variables are the way of storing information. For instance, here, number = 5, we assign 5 to the variable number. Here, string = 'cat', we assign the string 'cat' to the variable string. There are no special rules; you can create the name of a variable using numbers, special characters, or symbols, but the order is crucial! You can not start the name of a variable with numbers.

By the way, you can output several variables or strings and variables.


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number = 3
print('The number of cats I have is', number)

If you want the message not to be printed, just put the # sign at the beginning of the string; it is also called comment.

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Section 1. Chapitre 2

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