About this course: "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. 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.
Who is this class for: Anyone interested in data science, and knows how to program in Python or has completed the IBM Cognitive Class Python for Data Science course.
Created by: IBM
Taught by: Alex Aklson, Data Scientist
IBM Cognitive Class
| Basic Info | Course 2 of 4 in the Applied Data Science Specialization |
| Level | Intermediate |
| Commitment | 3 weeks of study, 4-5 hours/week |
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
Syllabus
WEEK 1
Introduction to Data Visualization Tools
In this module, you will learn about data visualization and some of the best practices to keep in mind when creating plots and visuals. You will also learn about the history and the architecture of Matplotlib and learn about basic plotting with Matplotlib. In addition, you will learn about the dataset on immigration to Canada, which will be used extensively throughout the course. Finally, you will briefly learn how to read csv files into a pandas dataframe and process and manipulate the data in the dataframe, and how to generate line plots using Matplotlib.
6 videos, 1 reading
- Материал для самостоятельного изучения: Syllabus
- Video: Introduction to Data Visualization
- Video: Introduction to Matplotlib
- Video: Basic Plotting with Matplotlib
- Video: Dataset on Immigration to Canada
- Video: Line Plots
- Элемент LTI: Introduction to Matplotlib and Line Plots
Graded: Introduction to Data Visualization Tools
WEEK 2
Basic and Specialized Visualization Tools
In this module, you learn about area plots and how to create them with Matplotlib, histograms and how to create them with Matplotlib, bar charts, and how to create them with Matplotlib, pie charts, and how to create them with Matplotlib, box plots and how to create them with Matplotlib, and scatter plots and bubble plots and how to create them with Matplotlib.
6 videos
- Video: Histograms
- Video: Bar Charts
- Элемент LTI: Basic Visualization Tools
- Video: Pie Charts
- Video: Box Plots
- Video: Scatter Plots
- Элемент LTI: Specialized Visualization Tools
Graded: Basic Visualization Tools
Graded: Specialized Visualization Tools
WEEK 3
Advanced Visualizations and Geospatial Data
In this module, you will learn about advanced visualization tools such as waffle charts and word clouds and how to create them. You will also learn about seaborn, which is another visualization library, and how to use it to generate attractive regression plots. In addition, you will learn about Folium, which is another visualization library, designed especially for visualizing geospatial data. Finally, you will learn how to use Folium to create maps of different regions of the world and how to superimpose markers on top of a map, and how to create choropleth maps.
6 videos
- Video: Word Clouds
- Video: Seaborn and Regression Plots
- Элемент LTI: Advanced Visualization Tools
- Video: Introduction to Folium
- Video: Maps with Markers
- Video: Choropleth Maps
- Элемент LTI: Creating Maps and Visualizing Geospatial Data
Graded: Advanced Visualization Tools
Graded: Visualizing Geospatial Data
Graded: Final Assignment
FAQs
How It Works
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Creators
IBM
IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.
Pricing
| Purchase Course | |
|---|---|
| Access to course materials | Available |
| Access to graded materials | Available |
| Receive a final grade | Available |
| Earn a shareable Course Certificate | Available |
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