Introduction to Python for Data Analysis

Course Content

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

First Step in Programming

It is time for us to dive deeper into programming, but let's start from the very beginning.

The first step is learning how to output messages! You need to use the print() statement to do it. Into the print() statement, you need to put the string in the output, in '' or " " quotes.

For instance, if we want to output the sentence The US Independence Day is on the 4th of July:


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print('The US Independence Day is on the 4th of July')
# or
print("The US Independence Day is on the 4th of July")

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Section 1. Chapter 1

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