The Absolute Beginners Guide to Statistics and Probability
The Absolute Beginners Guide to Statistics and Probability
Statistics
You need to think like a scientist before you can become a scientist. Statistics trains your mind to frame problems as hypotheses and gives you techniques to test these hypotheses, just like a scientist.
Mathematics
Learning the tools is the first step to doing data science. You must first see the big picture to then examine the parts in detail.
We take a detailed look specifically at calculus and linear algebra as they are the subfields data science relies on.
Why learn it?
Probability, Calculus and linear algebra are essential for programming in data science. If you want to understand advanced machine learning algorithms, then you need these skills in your arsenal.
Advanced Statistics
Regressions, clustering, and factor analysis are all disciplines that were invented before machine learning. However, now these statistical methods are all performed through machine learning to provide predictions with unparalleled accuracy. This section will look at these techniques in detail.
Main features of this course:
Provides you the complete package to be comfortable using statistics and analyzing data
Covers all stages of data analysis process
Very easy to understand
No complicated equations
Plain English instead of multiple statistical terms
Practical, with mobile shopping case study
Exercises and quizzes to help you master data analysis and statistics
Upon completion of this course, you'll be ready to apply what you've learned to excel in your statistics classes and make smarter business decisions
Who this course is for:
Professionals desiring to augment their statistical & mathematical skills
Anyone seeking to increase their data analytics capability
Build your mathematics and statistics foundations strongly - 2022 Q4 Updated
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What you will learn
- You will understand the important terminologies and statistical methods in data science
- You will understand confusion matrix, discrete and continuous random variables
- You will learn the basics of descriptive statistics using a Metric example
Rating: 4.1
Level: All Levels
Duration: 5.5 hours
Instructor: Sai Acuity Institute of Learning Pvt Ltd Enabling Learning Through Insight!
Courses By: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
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