Data Science with Python for People in a Hurry.
What you'll learn
- Understand the Basics of Data Science.
- Learn how to debug and fix machine learning models.
- Know and understand how to use popular data science tools.
Course content
- Preview01:00
- 00:31How to Navigate Through This Course.
- 15:21Installing Software on Mac OS.
- 10:00Installing Software on Windows OS
- 00:22Cram Session with Python
Requirements
- Know how to use a computer (MAC or Windows).
- Exposed to Computer Programming (in any language) preferably Python.
- Know Basic Statistics (mean, std, median, etc.)
Description
This is not your typical Data Science course.
We aim to show you the very basics of Data Science with practical examples. We require you to be familiar computer programming in general but not an expert. This course includes hands on lectures demonstrating fundamental concepts of data science, and useful python libraries for data science. For each hands on lecture we provide you with the code, documentation, and excercises.
We present the information in an understandable format, so if you have no experience with Data Science but are interested in learning more about it in a short time period you are in the right place.
Why should you take this course?
- You are a entrepreneur or business owner and you want to learn about how Data Science and/or Analytics can make your business thrive.
- You are a student and you feel like you really do not understand the basics of Data Science.
- You dread taking a course about Python and Data Science because it sounds too complicated and just want a simple explanations
- You want to see how to implement projects in data Science
This course Introduces:
- Jupyter Environment
- Preprocessing Data
- Statistical Visualizations
- Machine Learning
- Debugging Machine Learning Models
- Creating Data Science Presentations
Who this course is for:
- Anyone who wants to learn the basics of modern data science.
- This course is NOT for someone who has no experience computer programming.
Instructor
![Kelechi Ikegwu](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 3.5 Instructor Rating
- 2 Reviews
- 25 Students
- 1 Course
Kelechi Ikegwu has a BS and is currently pursuing his PhD in Informatics at The University of Illinois at Urbana Champaign. He has worked at NASA Research Centers, other government facilities, and academia in positions all related to Data Science.
Over the course of his career he has developed a skill set in analyzing and gaining insights from data using computational methods. Feel free to contact him on LinkedIn for more information about him.