Online Courses to Learn Principal Component Analysis

Explore 42 data science courses and free resources covering everything you need to know about Principal Component Analysis.

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OverviewRelated TrainingCareer Relevance

Overview

Principal component analysis (PCA) is the process of computing the principal components and using them to perform a change of basis on the data, sometimes using only the first few principal components and ignoring the rest.

Related Training

42 learning opportunities
Free Online Data Science Textbooks
Free
Linear Algebra for Data Science with examples in R
Shaina Race Bennett
R Programming Algorithms Applied Mathematics Cluster Analysis Data Analysis Data Mining
Coursera
University of Chicago
Free
Machine Learning: Concepts and Applications
Nick Feamster

38 hours

Intermediate
Keras Pandas Python Tensorflow scikit-learn Classification Cluster Analysis Data Analysis Data Modeling Data Science
Coursera
Imperial College London
Free
Mathematics for Machine Learning: PCA
Marc Peter Deisenroth

18 hours

Intermediate

63,932
Jupyter NumPy Python Algorithms Applied Mathematics Data Analysis Data Sets Dimension Reduction
DataCamp
Advanced Dimensionality Reduction in R
Federico Castanedo

4 hours

Advanced

$300

3,099
R Programming Algorithms Data Sets Dimension Reduction Finance Analytics Neural Networks
FutureLearn
Free
Chemometrics in Air Pollution

3 weeks, 2 hours/week
Data Analysis Data Modeling Distributions Principal Component Analysis Quantitative Analysis
edX
Massachusetts Institute of Technology
Free
Data Analysis: Statistical Modeling and Computation in Applications

16 weeks, 13 hours/week

Advanced
Applied Mathematics Data Analysis Data Modeling Data Science Data Sets
DataCamp
Data Privacy and Anonymization in Python
Rebeca Gonzalez

4 hours

$300
Python scikit-learn Data Analysis Data Modeling Data Privacy Data Sets Dimension Reduction
edX
Harvard University
Free
Data Science: Machine Learning
Rafael A. Irizarry

8 weeks, 3 hours/week

Beginner
Algorithms Data Analysis Data Science Data Sets Machine Learning
edX
Free
Deep Learning with Python and PyTorch

6 weeks, 3 hours/week

Intermediate
PyTorch Python Classification Data Analysis Data Modeling Deep Learning Dimension Reduction
DataCamp
Dimensionality Reduction in Python
Jeroen Boeye

4 hours

$300

11,515
Python Algorithms Data Analysis Data Modeling Data Sets Data Visualization
DataCamp
Dimensionality Reduction in R
Alexandros Tantos

4 hours

$300

5,159
R Programming Data Analysis Data Sets Dimension Reduction Exploratory Data Analysis Principal Component Analysis
edX
University of California, Berkeley
Free
Distributed Machine Learning with Apache Spark

8 hours
Apache Spark Algorithms Big Data Cloud Computing Cluster Analysis Data Analysis
Kaggle
Free
Feature Engineering
Ryan Holbrook

6 hours
Pandas Python Cluster Analysis Data Analysis Data Modeling Feature Engineering Principal Component Analysis
DataCamp
Feature Engineering in R
Jose Hernandez

4 hours

$300

3,136
R Programming Data Analysis Data Modeling Data Visualization Feature Engineering Machine Learning
edX
Massachusetts Institute of Technology
Free
Fundamentals of Statistics

18 weeks, 12 hours/week

Advanced
Artificial Intelligence Confidence Intervals Data Analysis Data Modeling Data Science
edX
Harvard University
Free
High-Dimensional Data Analysis

4 weeks, 3 hours/week

Advanced
R Programming Algorithms Cluster Analysis Data Analysis Data Modeling Data Science
Codecademy
Learn to be a Data Scientist

35 weeks

$240
Matplotlib NumPy Pandas Python SQL Cluster Analysis Data Analysis Data Science Data Visualization Deep Learning
DataCamp
Linear Algebra for Data Science in R
Eric Eager

4 hours

$300

8,539
R Programming Algorithms Big Data Data Analysis Data Science Data Sets
Data Science Certificates
Stanford University
Machine Learning
Andrew Ng

3 months

Intermediate

$1,595
Algorithms Artificial Intelligence Big Data Data Analysis Data Mining
Coursera
IBM
Free
Machine Learning Capstone

19 hours

Intermediate
Pandas Watson scikit-learn Algorithms Classification Cloud Computing Cluster Analysis Data Analysis
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Career Relevance

Principal Component Analysis is most likely to appear on Data Scientist job descriptions where we found it mentioned 1.1 percent of the time.

1. Data Scientist
1.1%
2. Data Analyst
0.2%
3. Data Engineer
0.1%
4. Business Analyst
0.0%

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