# Data Analysis Concepts

Data Science    |    Beginner
• 12 videos | 1h
• Includes Assessment
Rating 3.9 of 565 users (565)
There are many software and programming tools for data scientists. Before applying these tools effectively, you must understand underlying concepts. Explore data analysis concepts for effectively employing software and programming tools.

## WHAT YOU WILL LEARN

• Perform basic math operations required by data scientists
Perform basic vector math operations required by data scientists
Perform basic matrix math operations required by data scientists
Perform a matrix decomposition
Identify different forms of data
Describe probability in terms of events and sample space size
• Describe basic properties of outcomes
Apply probability rules in calculation
Identify common continuous probability distributions
Identify common discrete probability distributions
Apply bayes theorem and describe how it is used in email spam algorithms
Apply random sampling to a/b tests

## IN THIS COURSE

• In this video, learn how to perform basic math operations required for data science.
• In this video, you will perform basic vector math operations required for data scientists.
• 3.  Linear Algebra Matrix Math
In this video, learn how to perform basic matrix math operations required for data science.
• 4.  Linear Algebra Matrix Decomposition
Learn how to decompose a matrix.
• 5.  Data Formation
Learn how to identify different forms of data.
• 6.  Introduction to Probability
After completing this video, you will be able to describe probability in terms of events and sample space.
• 7.  Working with Events
Upon completion of this video, you will be able to describe basic properties of outcomes.
• 8.  Working with Probability
During this video, you will learn how to apply probability rules to calculations.
• 9.  Continuous Probability Distributions
Learn how to identify common probability distributions that are continuous.
• 10.  Discrete Probability Distributions
In this video, you will learn how to identify common discrete probability distributions.
• 11.  Introduction to Bayes Theorem
In this video, you will apply Bayes' theorem and describe how it is used in email spam algorithms.
• 12.  Exercise: Identify Data Sets by Type
To find out how to apply random sampling to A/B tests, consult a statistics textbook or an online statistics course.

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