Зміст курсу

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

Visualize ROI

In the previous chapter, we calculated ROI daily, which will help us recognize the unprofitable day. Indeed, if we know that Monday is unprofitable, we should spend less money to attract users, for example!

It is tough to conclude without graphs, so visualize ROI!

Завдання

Create barplot with the arguments:

df as the data parameter.
'day' column for x-axis.
'ROI' column for y-axis.

Output barplot

Завдання

Create barplot with the arguments:

df as the data parameter.
'day' column for x-axis.
'ROI' column for y-axis.

Output barplot

Congratulations! We figured out that Monday and Thursday are the most unprofitable days. Further, it is fantastic to find out whether these two days are similar or if we are making the same mistake on Monday and Thursday. But to do it, you should continue learning courses that will help you to become a Data Analyst.

Все було зрозуміло?

Секція 4. Розділ 11

Visualize ROI

It is tough to conclude without graphs, so visualize ROI!

Завдання

Create barplot with the arguments:

df as the data parameter.
'day' column for x-axis.
'ROI' column for y-axis.

Output barplot

Завдання

Create barplot with the arguments:

df as the data parameter.
'day' column for x-axis.
'ROI' column for y-axis.

Output barplot

Congratulations! We figured out that Monday and Thursday are the most unprofitable days. Further, it is fantastic to find out whether these two days are similar or if we are making the same mistake on Monday and Thursday. But to do it, you should continue learning courses that will help you to become a Data Analyst.

Все було зрозуміло?

Секція 4. Розділ 11

Visualize ROI

It is tough to conclude without graphs, so visualize ROI!

Завдання

Create barplot with the arguments:

df as the data parameter.
'day' column for x-axis.
'ROI' column for y-axis.

Output barplot

Завдання

Create barplot with the arguments:

df as the data parameter.
'day' column for x-axis.
'ROI' column for y-axis.

Output barplot

Congratulations! We figured out that Monday and Thursday are the most unprofitable days. Further, it is fantastic to find out whether these two days are similar or if we are making the same mistake on Monday and Thursday. But to do it, you should continue learning courses that will help you to become a Data Analyst.

Все було зрозуміло?

It is tough to conclude without graphs, so visualize ROI!

Завдання

Create barplot with the arguments:

df as the data parameter.
'day' column for x-axis.
'ROI' column for y-axis.

Output barplot

Congratulations! We figured out that Monday and Thursday are the most unprofitable days. Further, it is fantastic to find out whether these two days are similar or if we are making the same mistake on Monday and Thursday. But to do it, you should continue learning courses that will help you to become a Data Analyst.

Секція 4. Розділ 11

Перейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантів