Data Science Quick 2024: Focus On Correlation & Python
Make 2021 The Year To Get Started in Data Science: Learn The Rudiments of Correlation Analysis & Python.
Ratings 4.57 / 5.00
What You Will Learn!
- Students will learn to get started with Data Science, quick.
- This course will teach the rudiments of correlation analysis.
- This course will also teach the rudiments of python.
- Software installation is not required: but this course will provide helpful suggestions for students that wish to install Python.
- Students will learn to execute correlation analysis in Ptyhon from scratch.
- The bonus material also teaches students about Pandas, Data Management, and other related topics.
Description
Taught by a professional data scientist with more than 20 years of experience in teaching and education. Dr. Adam Ross Nelson has taught students of all ages and throughout the world. He has a PhD in Education. He has also taught high school students, college students, graduate students, and seasoned professionals. He also frequently helps technical professionals enter and level up in data science.
Everyone has to start someplace! A "quick start" in data science isn't a contradiction in terms! This course is for beginners.
Students will learn to get started with Data Science, quick. This course will teach the rudiments of two topics.
First, it will teach correlation analysis.
Second, it will teach Python.
There are knowledge checks to help students assess their own learning.
There is also a capstone experience. The capstone experience will ask students to implement correlation analysis from scratch in Python. There are no prerequisites.
This course does not require software installation.
More about the suggested roadmap: The Road To A Quick Start In Data Science
Learn, or re-learn to execute correlation analysis from scratch.
Learn a few simple coding techniques.
Execute correlation analysis from scratch in python.
Keep going! If that is what you want. Don’t look back.
Once you finish with these four steps, there will be more work ahead. Inside this course are guides and suggestions for next steps.
Who Should Attend!
- Students looking to get started with data science.
- Students looking to learn (or review) the rudiments of correlation analysis.
- Students looking to learn (or review) the rudiments of Python.
- Anyone interested in a path to getting started with data science, quickly.
