Managing Data Analysis

Course Link: https://www.coursera.org/learn/managing-data-analysis

Managing Data Analysis
The course will introduce the basic concepts of data analysis and help prepare students to manage data analysis projects. The course will also focus on the process of data analysis and the workflow used to produce high quality analyses. This focus will allow students to quickly grasp the concepts and workflow needed to manage large datasets.

The course will start by introducing an overview of data analysis and how it differs from machine learning, data mining and data visualization. We will also cover common data analysis tasks such as extracting meaning from data, building diagrams, and working with plots and maps.Building a Data Analysis Team
Exploring a Data Analysis Project
Data Extraction and Visualization
Workflow
Modern Robotics, Course 2: Robot Motion
This course introduces the fundamental concepts of robotics and robots in the 21st century, as well as introduces the latest in human-machine interaction, resulting in an understanding of the human-robot dynamic. The course covers the design of robots and robots in the physical, computational, and mental domains, as well as the application of those concepts in a variety of domains, including the fields of computer science, math, physics, and engineering. The course will also introduce human-robot interaction in the virtual world, including the interfaces between robots and humans, and the skills needed to participate in collaborative problem solving.

This is the second half of the two-part course. A full semester-long course would take 4-5 hours per week, with an additional 3-5 hours devoted to the design and development of robots and robots in the human-robot dynamic. This is a hands-on course with no prerequisite knowledge of robotics or programming.

After completing this course, you will be able to:
1. Design a robot
2. Computationally design a robot
3. Reason analytically about an interaction
4. Reason experimentally about a design problem
5. Reason experimentally about a problem that does not have an obvious solution
6. Reason about the design of a robot and about the design of a robot application
7. Reason about the design of a robot and a robot for a specific application

This is the second half of the two-part course. A full semester-long program would take 4-5 hours per week, with an additional 3-5 hours devoted to the design and development of robots and robots in the human-robot dynamic. This is a hands-on course with no prerequisite knowledge of robotics or programming.

After completing this course, you will be able to:
1. Design a robot
2. Computationally design a robot
3. Reason analytically about an interaction
4. Reason experimentally about a design problem
5. Reason experimentally about a problem that does not have an obvious solution
6. Reason about the design of a robot and a robot

Course Link: https://www.coursera.org/learn/managing-data-analysis