Morphosis: Data Analysis Course

The Morphosis swarm is ready with their first class! Santings will be leading the charge with his Data Analysis course.

As many of you know, the Morphosis swarm’s purpose is to provide education and courses to 1hive members to increase their knowledge of useful skills that will benefit the whole community. These skills will allow others to make high value contributions to 1hive and the blockchain space.

Details of the Course:

Name: Data Analysis

Instructor: Santings #9769

Office: 1Hive Discord

Office Hours: Wednesday 9:30 - 11:00 UTC

Duration: 1hr 30min

Description: Data science is the discipline of extracting knowledge from different types of data. Organizations and businesses use these insights to make decisions. This course will use Python language to introduce you to the Data Science world setting up different interactive environments to get you familiar with Pandas, the most common data library. You will learn how to create different data visualizations with charts and we will provide an introduction to machine learning with some of the most common regression and classification algorithms . Although basic coding knowledge is not required, it is recommended to get the most out of the course. When completed, users will have a basic knowledge of data science, machine learning, NumPy, Pandas, Matplotlib, Scikit-Learn, GraphQL, Heroku & more.

Course Schedule:

  • Week 1 - Jan 18th - Python Environment
  • Week 2 - Jan 25th - Data Libraries
  • Week 3 - Feb 1st - Graphics
  • Week 4 - Feb 8th - Machine Learning
  • Week 5 - Feb 15th Blockchain Data Extraction
  • Week 6 - Feb 22nd - Data Publishing
  • Scheduled Time: TBD - Please choose the times in the sign-up sheet that are suitable for you

Course Sign-up:

Anyone is free to sign up, and we encourage all 1hive members interested in the course to come and learn. The seats in the class are however limited to 15-20, so be respectful of others who are wanting to participate. If you would like to sign up, please click here.

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