A Guide to Statistics and Probability

Build your mathematics and statistics foundations strongly

4.10 (30 reviews)
Udemy
platform
English
language
Math
category
A Guide to Statistics and Probability
10,735
students
5.5 hours
content
Feb 2020
last update
$19.99
regular price

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

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

Why take this course?

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


Testimonials:

This course is very informative and taught by an excellent instructor. Really loved it. It is very easy to understand for absolute beginners like me. It could be a little problematic for native English speakers, because the instructor is not a native English speaker but otherwise it is worth it. I am looking forward to learn more from this particular instructor. Have a great day guys. ~ Jensen Jacob

Great ways of giving examples to help visualising each piece in the puzzle of statistics is going to place. ~ Ngoc Bao Tran Nguyen

amazing ~ Ahmed Mohamed Aboelyazied


Reviews

Jensen
April 30, 2021
This course is very informative and taught by an excellent instructor. Really loved it. It is very easy to understand for absolute beginners like me. It could be a little problematic for native English speakers, because the instructor is not a native English speaker but otherwise it is worth it. I am looking forward to learn more from this particular instructor. Have a great day guys??.
Emily
March 11, 2021
Good basic information to get some fundamentals. Instructor is knowledgeable and explains things well. Instructor had heavy accent, but I could follow the lectures.
Ngoc
November 15, 2020
Great ways of giving examples to help visualising each piece in the puzzle of statistics is going to place. However, the course does not include intro of so many concepts that had been introduced at the beginning of the course. Should have leave the name of the course is part 1 and part 2 is about "Inferential" rather current course name. In general, great beginning to approach statistics.

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2788426
udemy ID
1/31/2020
course created date
2/8/2020
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