Summary  
This chapter explains how to select specific columns from a tabular dataset by their titles using indexing syntax (e.g., data['Director'] or data[['Title', 'Stars']]) and how to print those selected columns.  

General domain of usage  
Data analysis

You are already familiar with the functions that can output the dataset, but imagine you want to output only a specific column. Firstly, let's get acquainted with the dataset for this section. By the way, it is inconvenient to output the whole data set, so data analysts usually output a part of it to examine. In this course, we will usually output the first 5 rows.

> Note
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> Some tables in the course, such as the one below, contain numerous columns. Therefore, you may need to scroll horizontally to see all the columns.

This table will help you understand how to output specific columns:

We want to output 'Category' and 'IMDb-Rating' columns; choose the correct way to do so.

This course contains a lot of useful functions for a future data analyst. You will learn different ways of extracting data and even set conditions on it. After it, you will be familiar with the methods of grouping data. Also, you will learn how to preprocess data. Each section has its data set so that the course will be gripping.

This section will teach you how to output specific columns by their titles or indices. Also, you will get acquainted with the ways you can select rows  by indices.

Here, you will learn how to extract data that has specific conditions. Also, you will learn how to combine them and even create your own.

In this section, you will expand your knowledge on setting different data conditions. You will learn to check if your data is in a defined list of values or between two values. You will also learn how to find the largest and smallest values.

This section is one of the most fascinating of the course. Here, you will learn how to group data in different ways. It will help you work as a data analyst to find out information on specific data groups.

This section is one of the most significant for a data analyst because if the data contains missing data values in the incorrect format, it will be impossible to work with. Thus, you will learn how to deal with such inappropriate values here. 

Outputting Columns by Title

Awesome!

Outputting Columns by Title