Course Content

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

Operations with the File

We are ready to continue!

Now we are going to learn how to:

Import libraries
Read files with the pandas
Create DataFrames.

Import libraries

Python is an ocean of libraries that serve various purposes, and as a Python developer, we must have sound knowledge of the best ones.

Books in every library are functions that can be used to perform different operations. Now we are going to work with the pandas library.

To import the library, use the following code:

pd alias is used for the ease of the work usually.

Creating the DF by reading the csv-file

There is a special function in the pandas - .read_csv(). The function helps to meet (read) the file (csv, xlsx, etc.). Pandas is the library that works with the DataFrames. DF is a structure made of your file. Sounds a little bit difficult? Don't worry! It only seems to be like that. To create the DataFrame from the csv-file, use the following code:

Task

Let's try to create the DataFrame by opening the csv-file.

Import the pandas with the pd alias.
Create the df variable and put the read csv-file into this variable.

Task

Let's try to create the DataFrame by opening the csv-file.

Import the pandas with the pd alias.
Create the df variable and put the read csv-file into this variable.

Everything was clear?

Section 3. Chapter 2

Operations with the File

We are ready to continue!

Now we are going to learn how to:

Import libraries
Read files with the pandas
Create DataFrames.

Import libraries

Python is an ocean of libraries that serve various purposes, and as a Python developer, we must have sound knowledge of the best ones.

Books in every library are functions that can be used to perform different operations. Now we are going to work with the pandas library.

To import the library, use the following code:

pd alias is used for the ease of the work usually.

Creating the DF by reading the csv-file

Task

Let's try to create the DataFrame by opening the csv-file.

Import the pandas with the pd alias.
Create the df variable and put the read csv-file into this variable.

Task

Let's try to create the DataFrame by opening the csv-file.

Import the pandas with the pd alias.
Create the df variable and put the read csv-file into this variable.

Everything was clear?

Section 3. Chapter 2

Operations with the File

We are ready to continue!

Now we are going to learn how to:

Import libraries
Read files with the pandas
Create DataFrames.

Import libraries

Python is an ocean of libraries that serve various purposes, and as a Python developer, we must have sound knowledge of the best ones.

Books in every library are functions that can be used to perform different operations. Now we are going to work with the pandas library.

To import the library, use the following code:

pd alias is used for the ease of the work usually.

Creating the DF by reading the csv-file

Task

Let's try to create the DataFrame by opening the csv-file.

Import the pandas with the pd alias.
Create the df variable and put the read csv-file into this variable.

Task

Let's try to create the DataFrame by opening the csv-file.

Import the pandas with the pd alias.
Create the df variable and put the read csv-file into this variable.

Everything was clear?

We are ready to continue!

Now we are going to learn how to:

Import libraries
Read files with the pandas
Create DataFrames.

Import libraries

Python is an ocean of libraries that serve various purposes, and as a Python developer, we must have sound knowledge of the best ones.

Books in every library are functions that can be used to perform different operations. Now we are going to work with the pandas library.

To import the library, use the following code:

pd alias is used for the ease of the work usually.

Creating the DF by reading the csv-file

Task

Let's try to create the DataFrame by opening the csv-file.

Import the pandas with the pd alias.
Create the df variable and put the read csv-file into this variable.

Section 3. Chapter 2

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