Introduction to Python for Data Analysis

Kursinnhold

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 get acquainted with the pandas library and explore datasets.

We will learn the main functions needed to work with the data:

Reading files and creating DataFrames
Describing data functions
Sorting data function
max(), min(), mean(), median()
Grouping function
.pivot_tables()
.loc()

And after learning these functions, we will also learn how to visualize analytics things!

In this section, we will work with the application subscription data. Please, study the data.

Column name	Data type	About
`user_id`	int	User unique number
`plan`	str	The type of the subscription
`price`	int	The cost of the subscription
`trial`	bool	If the plan is trial or not

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Takk for tilbakemeldingene dine!

Seksjon 3. Kapittel 1

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Kursinnhold

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 get acquainted with the pandas library and explore datasets.

We will learn the main functions needed to work with the data:

Reading files and creating DataFrames
Describing data functions
Sorting data function
max(), min(), mean(), median()
Grouping function
.pivot_tables()
.loc()

And after learning these functions, we will also learn how to visualize analytics things!

In this section, we will work with the application subscription data. Please, study the data.

Column name	Data type	About
`user_id`	int	User unique number
`plan`	str	The type of the subscription
`price`	int	The cost of the subscription
`trial`	bool	If the plan is trial or not

Alt var klart?

Takk for tilbakemeldingene dine!

Seksjon 3. Kapittel 1

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