Ementorhub

What you'll learn

Implement data visualization techniques and plots using Python libraries, such as Matplotlib, Seaborn, and Folium to tell a stimulating story

Create different types of charts and plots such as line, area, histograms, bar, pie, box, scatter, and bubble

Create advanced visualizations such as waffle charts, word clouds, regression plots, maps with markers, & choropleth maps

Generate interactive dashboards containing scatter, line, bar, bubble, pie, and sunburst charts using the Dash framework and Plotly library

Skills you'll gain

Histogram

Dashboard

Pandas (Python Package)

Data Presentation

Data Analysis

Box Plots

Scatter Plots

Data Visualization

Seaborn

Heat Maps

Plotly

Interactive Data Visualization

Data Visualization Software

Matplotlib

Geospatial Information and Technology

There are 5 modules in this course

This course will teach you to work with many Data Visualization tools and techniques. You will learn to create various types of basic and advanced graphs and charts like: Waffle Charts, Area Plots, Histograms, Bar Charts, Pie Charts, Scatter Plots, Word Clouds, Choropleth Maps, and many more! You will also create interactive dashboards that allow even those without any Data Science experience to better understand data, and make more effective and informed decisions. You will learn hands-on by completing numerous labs and a final project to practice and apply the many aspects and techniques of Data Visualization using Jupyter Notebooks and a Cloud-based IDE. You will use several data visualization libraries in Python, including Matplotlib, Seaborn, Folium, Plotly & Dash.

Basic and Specialized Visualization Tools

Advanced Visualizations and Geospatial Data

Creating Dashboards with Plotly and Dash

Final Project and Exam