Data Visualization with plotly for Data Science

Date: 22 February 10:00-15:00

Fee: 1500 UAH

Description:

You will learn how to transform raw tables with numbers into interactive and human-readable charts. We will start with the overview of basic chart types, when to use a specific type and how to make it easy to read. Then we will learn how to create and adjust these plots using plotly in Python. 

Outline:

  1. Basic types of charts (Line chart, Bar chart, Scatterplot, etc.).
  2. Some good/bad examples.
  3. Rule of thumb for creating a chart (sections 1-3 are ~1.5 hours in total).
  4. Plotly (~3.5 hours):
    1. Basic charts.
    2. Map charts.
    3. 3D charts.
    4. Subplots.
    5. Custom controls (buttons, sliders).
    6. Animations.

Who is the workshop for:

Data analysts, data scientists, data visualization specialists or any other people who are involved (interested) in creating data visualization.

Key skills:

After this workshop you will get the idea of how to:

Use the proper type chart for your data.

Create interactive plots using plotly packages.

Create multiple plots on one chart.

Create dynamic filters on a plot using buttons and sliders.

Create animation plots.

Duration: 5 hours.

Requirements: Python experience. Basic experience with visualization packages (like Matplotlib or Seaborn) is a plus.

Instructor:

Ruslan Klymentiev

Ruslan is a curriculum writer at DEVrepublik and Practice Instructor.
He graduated from Odessa National Polytechnic University, a specialist in “Radio-electronic devices.”
2.5 years of experience in Data Science.
Interests: statistics, Data Visualization, CNN models and Computer Vision
2 times received at Weekly Kernels Award on Kaggle.com
Winner.
Hobbies: climbing and hiking