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Introduction to Python for Data Analysis
course content

Course Content

Introduction to Python for Data Analysis

Introduction to Python for Data Analysis

1. Introduction to Python 1/2
First Step in ProgrammingDeal with VariablesPractice Math SkillsChallengeDeal with PercentsHow to Attract One User?ChallengeLearn NumbersBoolean NumbersChallengeWork with StringsGet Familiar with ListsHow to Append New Element?
2. Introduction to Python 2/2
If/ElseChallengeIf/Elif/ElseChallengeFor LoopWhile LoopChallenge
3. Explore Dataset
Data StudyOperations with the FileHow to Explore the DataSorting DataMax, min, mean, medianChallengeGroup DataDive Deeper into Grouping DataGroup Data 2.0Introduction to NumPyPivot TablesRecall Loops.loc FunctionDeal with Several ConditionsChallengeVisualization: First StepsDive Deeper into Visualization
4. Becoming an Analyst
Data StudyExamine DatasetChallengeСAC 1/2CAC 2/2Costly CustomersOrganic TrafficHow Much Do We EarnIs Our Project Profitable? ROI 1/2ROI 2/2Visualize ROI

bookVisualize 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!

Task

  1. Create barplot with the arguments:
  • df as the data parameter.
  • 'day' column for x-axis.
  • 'ROI' column for y-axis.
  1. 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.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 4. Chapter 11
toggle bottom row

bookVisualize 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!

Task

  1. Create barplot with the arguments:
  • df as the data parameter.
  • 'day' column for x-axis.
  • 'ROI' column for y-axis.
  1. 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.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 4. Chapter 11
toggle bottom row

bookVisualize 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!

Task

  1. Create barplot with the arguments:
  • df as the data parameter.
  • 'day' column for x-axis.
  • 'ROI' column for y-axis.
  1. 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.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

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!

Task

  1. Create barplot with the arguments:
  • df as the data parameter.
  • 'day' column for x-axis.
  • 'ROI' column for y-axis.
  1. 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.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 4. Chapter 11
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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