Data Understanding and Data Visualization with Python

Video description

Learn to understand raw data and visualize it using Python along with hands-on mini projects.

About This Video

Learn data manipulation and visualization with the help of a practical and easy-to-guide course
Master various Python libraries such as NumPy, Pandas, Matplotlib, and so on
Create interactive and insightful visualizations from scratch with minimal efforts

In Detail

Data visualization has gained a lot of traction …

Data Understanding and Data Visualization with Python

Video description

Learn to understand raw data and visualize it using Python along with hands-on mini projects.

About This Video

Learn data manipulation and visualization with the help of a practical and easy-to-guide course
Master various Python libraries such as NumPy, Pandas, Matplotlib, and so on
Create interactive and insightful visualizations from scratch with minimal efforts

In Detail

Data visualization has gained a lot of traction resulting from an increased focus on data analytics. To be a successful data scientist, data manipulation and wrangling are not enough. Visualizing data to garner insights is an equally important tool in the data science toolkit. Given the myriad types of data that exist, visualization has become an increasingly important topic.

This course will equip you with all the skills you need to successfully create insightful visualizations. The course first starts with the fundamentals of Python. Then, the course teaches you how to use libraries such as NumPy, Pandas, Matplotlib, Seaborn, Bokeh, and so on. Additionally, you will learn data manipulation, which is the step prior to visualization. You will also learn how to plot geographical data using Folium. Each module in the course has practical hands-on mini projects, and with the mammoth content, this is one of the most comprehensive courses you will be doing on data visualization in Python.

By the end of this course, you have not only learned the theoretical fundamentals of visualizations but also gained essential practical skills to explore this growing domain.

Audience

This course is for anyone who seeks to perform data manipulations and create insightful visualizations. Even if you are an absolute beginner, you will benefit from this course as it begins with the fundamentals of Python and teaches you the necessary skills in using Python-based visualization libraries.

Publisher resources

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Chapter 1 : Introduction to the Course

About the Tutor and AI Sciences

Introduction to Instructor

Focus of the Course

Content of the Course

Chapter 2 : Strings in Python

Introduction to Strings

Multi-Line Strings

Indexing Strings

Indexing Strings Quiz

Indexing Strings Solution

String Methods

String Methods Quiz

String Methods Solution

String Escape Sequences

String Escape Sequences Quiz

String Escape Sequences Solution

Chapter 3 : Python Data Structure

Introduction to Data Structure

Data Structures - Defining and Indexing

Data Structures - Insertion and Deletion

Data Structures-Insertion and Deletion Quiz

Data Structures-Insertion and Deletion Solution

Data Structures - Insertion and Deletion Python Practice

Data Structures-Insertion and Deletion Python Practice Quiz

Data Structures insertion And Deletion python Practice Solution

Data Structures - Deep Copy or Reference and Slicing

Data Structures-Deep Copy or Reference and Slicing Quiz

Data Structures-Deep Copy or Reference and Slicing Solution

Data Structures - Exploring Methods Using TAB Completion

Data Structures - Abstract Ways

Data Structures - Problem Solving Practice

Data Structures Problem Solving Practice Quiz

Data Structures-Problem Solving Practice Solution

Chapter 4 : NumPy for Numerical Data Processing

Introduction to NumPy

NumPy Dimensions

NumPy Shape, Size, and Bytes

NumPy Arange and Random Package

NumPy Arange and Random Package Quiz

NumPy Arange and Random Package Solution

NumPy Random and Reshape

NumPy Slicing Combined

NumPy Slicing Combined Quiz

NumPy Slicing Combined Solution

NumPy Masking

NumPy Masking Quiz

NumPy Masking Solution

NumPy Broadcasting and Concatenation

NumPy Ufuncs and SpeedTest

Ufuncs Add, Sum, and Plus Operators

Ufuncs Subtract Power Mod

Ufuncs Comparisons Logical Operators

Ufuncs Comparisons Logical Operators Quiz

Ufuncs Comparisons Logical Operators Solution

Ufuncs Output Argument

NumPy Playing with Images

NumPy Playing With Images Quiz

NumPy Playing With Images Solution

NumPy KNN Classifier from Scratch

NumPy Structured Arrays

NumPy Structured Arrays Quiz

NumPy Structured Arrays Solution

Chapter 5 : Pandas for Data Manipulation and Understanding

Introduction to Pandas

Pandas Series

Pandas DataFrame

Pandas DataFrame Quiz

Pandas DataFrame Solution

Pandas Missing Values

Pandas loc and Iloc

Pandas in Practice

Pandas Group By

Pandas Group By Quiz

Pandas Group By Solution

Hierarchical Indexing

Pandas Rolling

Pandas Rolling Quiz

Pandas Rolling Solution

Pandas Where

Pandas Clip

Pandas Clip Quiz

Pandas Clip Solution

Pandas Merge

Pandas Merge Quiz

Pandas Merge Solution

Pandas Pivot Table

Pandas Strings

Pandas DateTime

Pandas Hands-On COVID-19 Data

Pandas Hands-On COVID-19 Data Bug Fixed

Chapter 6 : Matplotlib for Data Visualization

Introduction to Matplotlib

Matplotlib Multiple Plots

Matplotlib Colors and Styles

Matplotlib Colors and Styles Quiz

Matplotlib Colors and Styles Solution

Matplotlib Colors and Styles Shortcuts

Matplotlib Axis Limits

Matplotlib Axis Limits Quiz

Matplotlib Axis Limits Solution

Matplotlib Legends Labels

Matplotlib Set Function

Matplotlib Set Function Quiz

Matplotlib Set Function Solution

Matplotlib Markers

Matplotlib Markers Random Plots

Matplotlib Scatter Plot

Matplotlib Contour Plot

Matplotlib Contour Plot Quiz

Matplotlib Contour Plot Solution

Matplotlib Histograms

Matplotlib Subplots

Matplotlib Subplots Quiz

Matplotlib Subplots Solution

Matplotlib 3D Introduction

Matplotlib 3D Scatter Plots

Matplotlib 3D Scatter Plot Quiz

Matplotlib 3D Scatter Plot Solution

Matplotlib 3D Surface Plots

Chapter 7 : Seaborn for Data Visualization

Introduction to Seaborn

Seaborn Relplot

Seaborn Relplot Quiz

Seaborn Relplot Solution

Seaborn Relplot Kind Line

Seaborn Relplot Facets

Seaborn Relplot Facets Quiz

Seaborn Relplot Facets Solution

Seaborn Catplot

Seaborn Heatmaps

Chapter 8 : Bokeh for Interactive Plotting

Introduction to Bokeh

Bokeh Multiplots Markers

Bokeh Multiplots Grid Plot

Bokeh Multiplots Grid Plot Quiz

Bokeh Multiplots Grid Plot Solution

Chapter 9 : Plotly for 3D Interactive Plotting

Plotly 3D Interactive Scatter Plot

Plotly 3D Interactive Scatter Plot Quiz

Plotly 3D Interactive Scatter Plot Solution

Plotly 3D Interactive Surface Plot

Plotly 3D Interactive Surface Plot Quiz

Plotly 3D Interactive Surface Plot Solution

Chapter 10 : Geographic Maps with Folium

Geographic Maps with Folium Using COVID-19 Data

Geographic Maps with Folium Using COVID-19 Data Quiz

Geographic Maps with Folium Using COVID-19 Data Solution

Chapter 11 : Pandas for Plotting

Pandas for Plotting

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