Introduction to Python for Data Analysis

Contenuti del Corso

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

Data Study

In this section, we are going to practice using knowledge from previous sections.

We will find some essential product metrics that are used in Data Analysis:

CAC
The percentage of customers whose acquisition is more expensive than the money spent
The percentage of the organic traffic
How much money do we earn daily
ROI

Before starting this section, study the data we will work with.

Column name	Data type	Description
`customer_id`	int	User unique number
`cost`	float	How much money do we spend for the user
`money_spent`	float	How much money does the user spend
`day`	str	The weekday the payment was made
`holiday`	bool	If the day of the payment was the holiday or not

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Sezione 4. Capitolo 1

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Contenuti del Corso

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

Data Study

In this section, we are going to practice using knowledge from previous sections.

We will find some essential product metrics that are used in Data Analysis:

CAC
The percentage of customers whose acquisition is more expensive than the money spent
The percentage of the organic traffic
How much money do we earn daily
ROI

Before starting this section, study the data we will work with.

Column name	Data type	Description
`customer_id`	int	User unique number
`cost`	float	How much money do we spend for the user
`money_spent`	float	How much money does the user spend
`day`	str	The weekday the payment was made
`holiday`	bool	If the day of the payment was the holiday or not

Tutto è chiaro?

Grazie per i tuoi commenti!

Sezione 4. Capitolo 1

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