Knowledge Visualization with Python

About this Course

“An image is value a thousand phrases”. We’re all acquainted with this expression. It particularly applies when attempting to clarify the perception obtained from the evaluation of more and more massive datasets. Knowledge visualization performs an important position within the illustration of each small and large-scale knowledge.

One of many key abilities of an information scientist is the power to inform a compelling story, visualizing knowledge and findings in an approachable and stimulating approach. Studying the right way to leverage a software program instrument to visualise knowledge may also allow you to extract data, higher perceive the information, and make more practical choices. The principle objective of this Knowledge Visualization with Python course is to show you the right way to take knowledge that at the beginning look has little that means and current that knowledge in a type that is sensible to folks. Numerous strategies have been developed for presenting knowledge visually however on this course, we will likely be utilizing a number of knowledge visualization libraries in Python, specifically Matplotlib, Seaborn, and Folium. LIMITED TIME OFFER: Subscription is just $39 USD per thirty days for entry to graded supplies and a certificates.

This course is a part of a number of packages

This course will be utilized to a number of Specializations or Skilled Certificates packages. Finishing this course will rely in direction of your studying in any of the next packages:

• IBM Knowledge Science Skilled Certificates
• Utilized Knowledge Science Specialization

WHAT YOU WILL LEARN

• Describe the significance of information visualization.

• Relate the historical past of Matplotlib and its structure.

• Apply Matplotlib to create plots utilizing Jupyter notebooks.

• Uncover the right way to learn CSV recordsdata right into a Pandas DataFrame; course of and manipulate the information within the DataFrame; and generate line plots utilizing Matplotlib.

SKILLS YOU WILL GAIN

• Python Programming
• Knowledge Virtualization
• Plotly
• Matplotlib
• Knowledge Visualization (DataViz)

Syllabus – What you’ll be taught from this course

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WEEK

1

2 hours to finish

Introduction to Knowledge Visualization Instruments

On this module, you’ll study knowledge visualization and a number of the finest practices to remember when creating plots and visuals. Additionally, you will be taught in regards to the historical past and the structure of Matplotlib and study fundamental plotting with Matplotlib. As well as, you’ll be taught in regards to the dataset on immigration to Canada, which will likely be used extensively all through the course. Lastly, you’ll briefly discover ways to learn csv recordsdata right into a pandas dataframe and course of and manipulate the information within the dataframe, and the right way to generate line plots utilizing Matplotlib.

WEEK

2

3 hours to finish

Fundamental and Specialised Visualization Instruments

On this module, you study space plots and the right way to create them with Matplotlib, histograms and the right way to create them with Matplotlib, bar charts, and the right way to create them with Matplotlib, pie charts, and the right way to create them with Matplotlib, field plots and the right way to create them with Matplotlib, and scatter plots and bubble plots and the right way to create them with Matplotlib.

WEEK

3

3 hours to finish

Superior Visualizations and Geospatial Knowledge

On this module, you’ll study superior visualization instruments corresponding to waffle charts and phrase clouds and the right way to create them. Additionally, you will study seaborn, which is one other visualization library, and the right way to use it to generate engaging regression plots. As well as, you’ll study Folium, which is one other visualization library, designed particularly for visualizing geospatial knowledge. Lastly, you’ll discover ways to use Folium to create maps of various areas of the world and the right way to superimpose markers on high of a map, and the right way to create choropleth maps.

WEEK

4

6 hours to finish

Creating Dashboards with Plotly and Sprint

On this module you’re going to get began with dashboard creation utilizing the Plotly library. You’ll create a dashboard with a theme `US Home Airline Flights Efficiency`. You’ll do that utilizing a US airline reporting service on-time efficiency dataset, Plotly, and Sprint ideas realized all through the course. Palms-on labs will comply with every idea to make you comfy with utilizing the library. Studying lists will reference extra sources to be taught extra in regards to the ideas coated.