Perform an Exploratory Data Analysis
- Offered byOpenClassrooms
Perform an Exploratory Data Analysis at OpenClassrooms Overview
Perform an Exploratory Data Analysis
at OpenClassrooms
Duration | 10 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Perform an Exploratory Data Analysis at OpenClassrooms Highlights
Perform an Exploratory Data Analysis
at OpenClassrooms
- Earn a certificate of completion from Openclassroom
Perform an Exploratory Data Analysis at OpenClassrooms Course details
Perform an Exploratory Data Analysis
at OpenClassrooms
What are the course deliverables?
- Learning objectives
- By the end of this course, you will be able to:
- Reduce the number of dimensions in your data Using Principal Component Analysis
- Find groups in your data using the K-Means Clustering Method
- Find groups in your data using Hierarchical Clustering Methods
More about this course
- In this course, we will examine ways to efficiently analyze your data using techniques such as Principle Component Analysis, or PCA , which allows you to reduce the number of variables in your dataset while minimizing the amount of information lost
- We will also look at two of the most popular Clustering Methods: the k-means algorithm and hierarchical classification
- By the end of this course, you will understand when and how to apply these powerful analytical methods to your data
Perform an Exploratory Data Analysis at OpenClassrooms Curriculum
Perform an Exploratory Data Analysis
at OpenClassrooms
Part #1 - Reduce Dimensions in your Data Using Principal Component Analysis
Part #2 - Find Groups in your Data Using K-Means and Hierarchical Clustering Methods
Perform an Exploratory Data Analysis at OpenClassrooms Faculty details
Perform an Exploratory Data Analysis
at OpenClassrooms
Llewelyn Fernandes
Designation : Founder of Think Create Learn (@tcreatelearn), helping young people and career changers build skills in data, AI, robotics, and programming.
Perform an Exploratory Data Analysis at OpenClassrooms Entry Requirements
Perform an Exploratory Data Analysis
at OpenClassrooms
Eligibility criteria
- Prerequisites Mastery of one and two-dimensional descriptive statistics, in particular: the basic terminology used in statistics the four variable types how to represent the empirical distribution of a variable how to find correlations in your data Familiarity with the notion of vectors Knowledge in Python - If you are unfamiliar with this programming language, we highly encourage you to take the following courses: Learn Python Basics for Data Analysis and Use Python Libraries for Data Science .
Conditional Offer
- Not mentioned
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