Udemy

Data Science Quick: Focus On Correlation & Python

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  • 210 Students
  • Updated 5/2025
4.6
(14 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
2 Hour(s) 12 Minute(s)
Language
English
Taught by
Adam Ross Nelson
Rating
4.6
(14 Ratings)

Course Overview

Data Science Quick: Focus On Correlation & Python

Make This The Year To Get Started in Data Science: Learn The Rudiments of Correlation Analysis & Python.

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

  1. Learn, or re-learn to execute correlation analysis from scratch.

  2. Learn a few simple coding techniques.

  3. Execute correlation analysis from scratch in python.

  4. 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.

Course Content

  • 7 section(s)
  • 42 lecture(s)
  • Section 1 Introduction
  • Section 2 Module One - Correlation Analysis
  • Section 3 Optional Discussion
  • Section 4 Module Two - Python Crash Course
  • Section 5 Course Capstone Experience
  • Section 6 Addon My Python Lessons, How To Define A Correlation Function
  • Section 7 Additional Python Instruction

What You’ll 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.


Reviews

  • R
    Richard Mukechiwa
    5.0

    This course is the best crash course for beginners like me, I have enjoyed learning about list comprehensions. The instructor is making everything look easy.

  • E
    Eric Podchaski
    5.0

    Adam has a great teaching style that is clear, concise, and encouraging. Very well organized and exceptionally good material on learning python. Much easier to use than I remember when I tried learning it a few years ago.

  • M
    Mike Kowalczyk
    5.0

    I really enjoyed this course. Very helpful in my quest to discover data science!

  • Е
    Евгений Дядьков
    3.0

    There only a few materials about correlation. There is no materials about how to select data to correlation analysis, how to plot regression graph, how to estimate results of correlation analysis via additional calculations (e.g. coefficient of determination).

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