The Absolute Beginners Guide to Statistics and Probability
3.9 (16 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
10,011 students enrolled

The Absolute Beginners Guide to Statistics and Probability

Build your mathematics and statistics foundations strongly
3.9 (16 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
10,011 students enrolled
Last updated 2/2020
English
English [Auto]
Current price: $69.99 Original price: $99.99 Discount: 30% off
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This course includes
  • 5.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Assignments
  • Certificate of Completion
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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
Requirements
  • 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
Description

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

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
Course content
Expand all 8 lectures 05:40:08
+ Understanding Percentile
1 lecture 50:51
Understanding Percentile
50:51
Calculate the physical significance of percentile from 3 examples
Assignment: Calculate the physical significance of percentile from 3 examples
1 question
+ Probability: Continued
1 lecture 01:00:20
Probability: Examples & Caselets
01:00:20
+ Descriptive statistics part 1
1 lecture 01:01:54
Fundamentals of Descriptive statistics
01:01:54
+ Descriptive statistics part 2
1 lecture 57:36
Part 2:Descriptive Statistics
57:36