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» » » The Absolute Beginners Guide to Statistics and Probability

The Absolute Beginners Guide to Statistics and Probability

The Absolute Beginners Guide to Statistics and Probability

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz
Language: English | VTT | Size: 2.18 GB | Duration: 5.5 hours
What you'll 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
You will learn what percentile is with the help of examples
You will get more clarity by solving several examples
Probability tells us how often some event will happen after many repeated trials, we start off with an introduction to this interesting topic.
How to tell the story through data
You will learn how to collect data, how to visualize data, how to predict or explain different behaviors and events and how to find ideas for data research.
Learn the fundamental concepts of descriptive statistics
Students of mathematics and statistics will gain immensely since the course is taught right from the very basics
Everyone can take this course, no experience is needed. We will go step-by-step from the very beginning
Just some time and willingness to learn
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.
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
Who this course is for:
It's for you, if you are interested in data analysis or statistics
It's for you, if you want to update or develop your skills and analyze data the right way
It's for you, if you want to be more efficient in your work
It's for you, if you want to make informed decisions based on data
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