Data Visualization in Python Using Matplotlib and Seaborn
We will be using several data visualization libraries in Python Matplotlib, Seaborn.
What you will learn
What is data visualization ?
Why is it important?
What types of data are?
How can i visualize categorical data?
How can i visualize Numerical data?
Exploring the distribution
Create line, bar, box, scatter, pie, violin, strip, cat, reg, join, hist, heat map, cluster map, pair, count and other plots!
Create projects using real world data
Work with Jupyter Notebooks
learn basics of seaborn
Create rich informative data graphs
Format your graphs for simplicity
Data analysis with Python
Transform raw data into beautiful interactive visuals
Description
"A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data.
Welcome to this project-based course on Data Visualization with seaborn. In this project, you will create quick and interactive data visualizations with seaborn: a high-level data visualization library in Python inspired by matplotlib. You will explore the various features of the in-built Gapminder dataset, and produce interactive, publication-quality graphs to augment analysis.
One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions. The main goal of this Data Visualization with Python course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using several data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium.
Content
Introduction to data visualization
Seaborn histplot | How to make a Seaborn histogram plot with Python code
Seaborn boxplot | Box plot explanation and how to make a box plot
What is a violin plot and how to make a Seaborn violinplot in Python
Seaborn stripplot | What is a strip plot and how to make a strip plot in Python
Seaborn scatter plot | How to make and style a scatterplot in Python seaborn
Seaborn regplot | What is a regplot and how to make a regression plot in Python
Seaborn heatmap | How to make a heatmap in Python Seaborn and adjust the heatmap
Seaborn clustermap | How the clustermap works and what is the clustermap?
Seaborn Bar Plot Tutorial | How to make and style a barplot with Seaborn Python
Seaborn countplot | What is the countplot?
Seaborn jointplot | What is a joint plot and how to code a jointplot in Python
Seaborn catplot | Using catplot kind to create multiple categorical plots
Seaborn JointGrid | Understanding the jointgrid
Project 1 | Mobile Price Analysis and Visualization
Project 2 | Black Friday Dataset EDA And Visualization
Coupons
Submit by | Date | Coupon Code | Discount | Emitted/Used | Status |
---|---|---|---|---|---|
- | 6/29/2022 | M_ASHOUR00 | 100% OFF | 1000/830 | expired |