Data Analysis & Processing with Pandas

Course Overview

Pandas is a very popular Python library that provides powerful, flexible and high-performance tools to process data. If you’re looking to get into data science, machine learning, or you just want to brush up on your analytics skills, then look no further. In this course, you’ll learn ... See More

How You'll Learn

Hands-on coding environments

You don’t get better at swimming by watching others. Coding is no different. Practice as you learn with live code environments inside your browser.

Faster than videos

Videos are holding you back. The average video tutorial is spoken at 150 words per minute, while you can read at 250. That‘s why our courses are text-based.

No set-up required

Start learning immediately instead of fiddling with SDKs and IDEs. It‘s all on the cloud.

Progress you can show

Built in assessments let you test your skills. Completion certificates let you show them off.

Hands-on coding environments

You don’t get better at swimming by watching others. Coding is no different. Practice as you learn with live code environments inside your browser.

Faster than videos

Videos are holding you back. The average video tutorial is spoken at 150 words per minute, while you can read at 250. That‘s why our courses are text-based.

No set-up required

Start learning immediately instead of fiddling with SDKs and IDEs. It‘s all on the cloud.

Progress you can show

Built in assessments let you test your skills. Completion certificates let you show them off.

Course Contents

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1. Introduction

Introduction

Fundamental Data Structures in pandas

Creating a Series Object

Create a Series From a Numpy ndarray and a Scalar Value

Manipulating Series Objects

Creating a DataFrame From Arrays and Lists

Creating a DataFrame From a Series

Creating a DataFrame From a File

Quiz

2. Basic Operations on DataFrames

Indexing and Slicing

Description

Challenge - Overall Description of the Data

Challenge Solution Review

Concatenation

Grouping Data __ Part 1

Grouping Data __ Part 2

Deletion in a DataFrame

Select Data From DataFrame

Merging in a DataFrame

Challenge - Group by a Single Column and Analyze

Challenge Solution Review

Sorting a DataFrame

Apply Function to a DataFrame

Iteration Data in DataFrame

Challenge - Find the Most Popular Item

Challenge Solution Review

Quiz

3. Other topics

Deal with Missing Value

Export Data to File

Convert DataFrame to a List

String Type

Challenge - Drop Duplicated Rows on SN

Challenge Solution Review

Deal With datetime

Type Conversion

Rename Columns

Drop Duplicate Row

Quiz

4. Improve performance

Speed up File Loading

Reduce Memory Usage

Speed up Column Operations

Optimized Data Filtering