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Home Programming

Data Analysis with Python by Christian Cisne

November 28, 2022
in Programming, Free Course, Tutorials
Data Analysis with Python by Christian Cisne

Data Analysis with Python by Christian Cisne

Download Data Analysis with Python by Christian Cisne in one single click, On our website, you will find free many premium assets like Free Courses, Photoshop Mockups, Lightroom Preset, Photoshop Actions, Brushes & Gradient, Videohive After Effect Templates, Fonts, Luts, Sounds, 3d models, Plugins, and much more. Psdly.com is a free graphics content provider website that helps beginner graphic designers as well as freelancers who can’t afford high-cost courses and other things.

File Name:Data Analysis with Python by Christian Cisne
Content Source:https://www.udemy.com/course/statistics-introduction-applied-to-data-science/
Genre / Category:Programming
File Size :590MB
Publisher:udemy
Updated and Published:November 28, 2022
Product Details

Do you need help with statistics?. In this course we will learn the basic statistical techniques to perform an Exploratory Data Analysis in a professional way. Data analysis is a broad and multidisciplinary concept. With this course, you will learn to take your first steps in the world of data analysis. It combines both theory and practice.

The course begins by explaining basic concepts about data and its properties. Univariate measures as measures of central tendency and dispersion. And it ends with more advanced applications like regression, correlation, analysis of variance, and other important statistical techniques.

You can review the first lessons that I have published totally free for you and you can evaluate the content of the course in detail.

We use Python Jupyter Notebooks as a technology tool of support. Knowledge of the Python language is desirable, but not essential, since during the course the necessary knowledge to carry out the labs and exercises will be provided.

If you need improve your statistics ability, this course is for you.

if you are interested in learning or improving your skills in data analysis, this course is for you.

If you are a student interested in learning data analysis, this course is for you too.

This course, have six modules, and six laboratories for practices.

  • Module one. We will look at the most basic topics of the course.
  • Module two. We will see some data types that we will use in python language.
  • Module three. We will see some of the main properties of quantitative data.
  • Module four. We will see what data preprocessing is, using the python language.
  • Module five. We will begin with basics, of exploratory data analysis.
  • Module six. We will see more advanced topics, of exploratory data analysis.
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