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Statistics & Probability for Data Science & Machine Learning

CPD Accredited Course

  • Calendar 3 Students
  • Calendar 1 Year
  • calendar Intermediate
  • clock 11 hours, 27 minutes

Get This Course And 2200+ Others For Only £49. ORDER NOW

Course Overview

Gear up to get well equipped in Statistics & Probability for Data Science & Machine Learning now, and make up your mind to be the best in the business! All you need is proper training, firm support and a push to shine in your vocation, and Compliance Central is determined to provide you with it all! Explore what you got in this exclusive Statistics & Probability for Data Science & Machine Learning Skills, start learning and excel in it! This amazing Statistics & Probability for Data Science & Machine Learning course has been designed and developed by the industry specialists.! You’ll get to-the-point knowledge both practical and theoretical, and gain valuable insights into the business which will help you understand the drill better than ever! Join today, be skilled, learn with positive energy and enthusiasm, and create an excellent career using your full potential! Brace yourself, enrol now for an amazing venture!
 

This Statistics & Probability for Data Science & Machine Learning Course Package Includes

  • Free CPD Accredited PDF Certificate
  • Comprehensive lessons and training provided by experts on Statistics & Probability for Data Science & Machine Learning
  • Interactive online learning experience at your convenience
  • 24/7 Access to the course materials and learner assistance
  • Easy accessibility from any smart device (Laptop, Tablet, Smartphone etc.)
  • A happy and handy learning experience for the professionals and students
  • 100% learning satisfaction, guaranteed by Compliance Central
 

Certification

You can instantly download your certificate for £4.79 right after finishing the Statistics & Probability for Data Science & Machine Learning course. The hard copy of the certification will also be sent right at your doorstep via post for £10.79. All of our courses are continually reviewed to ensure their quality, and that provide appropriate current training for your chosen subject. As such, although certificates do not expire, it is recommended that they are reviewed or renewed on an annual basis.

Who Is This Course For

Compliance Central aims to prepare efficient human resources for the industry and make it more productive than ever. This helpful course is suitable for any person who is interested in Statistics & Probability for Data Science & Machine Learning. There are no pre-requirements to take it. You can attend the course if you are a student, an enthusiast or a
  • Employee
  • Employer
  • Manager
  • Supervisor
  • Entrepreneur
  • Business Professional
  • Company Leader
  • HR Professional

Course Currilcum

    • Welcome! 00:02:00
    • What will you learn in this course? 00:06:00
    • How can you get the most out of it? 00:06:00
    • Intro 00:03:00
    • Mean 00:06:00
    • Median 00:05:00
    • Mode 00:04:00
    • Mean or Median? 00:08:00
    • Skewness 00:08:00
    • Practice: Skewness 00:01:00
    • Solution: Skewness 00:03:00
    • Range & IQR 00:10:00
    • Sample vs. Population 00:05:00
    • Variance & Standard deviation 00:11:00
    • Impact of Scaling & Shifting 00:19:00
    • Statistical moments 00:06:00
    • What is a distribution? 00:10:00
    • Normal distribution 00:09:00
    • Z-Scores 00:13:00
    • Practice: Normal distribution 00:04:00
    • Solution: Normal distribution 00:07:00
    • Intro 00:01:00
    • Probability Basics 00:10:00
    • Calculating simple Probabilities 00:05:00
    • Practice: Simple Probabilities 00:01:00
    • Quick solution: Simple Probabilities 00:01:00
    • Detailed solution: Simple Probabilities 00:06:00
    • Rule of addition 00:13:00
    • Practice: Rule of addition 00:02:00
    • Quick solution: Rule of addition 00:01:00
    • Detailed solution: Rule of addition 00:07:00
    • Rule of multiplication 00:11:00
    • Practice: Rule of multiplication 00:01:00
    • Solution: Rule of multiplication 00:03:00
    • Bayes Theorem 00:10:00
    • Bayes Theorem – Practical example 00:07:00
    • Expected value 00:11:00
    • Practice: Expected value 00:01:00
    • Solution: Expected value 00:03:00
    • Law of Large Numbers 00:08:00
    • Central Limit Theorem – Theory 00:10:00
    • Central Limit Theorem – Intuition 00:08:00
    • Central Limit Theorem – Challenge 00:11:00
    • Central Limit Theorem – Exercise 00:02:00
    • Central Limit Theorem – Solution 00:14:00
    • Binomial distribution 00:16:00
    • Poisson distribution 00:17:00
    • Real life problems 00:15:00
    • Intro 00:01:00
    • What is a hypothesis? 00:19:00
    • Significance level and p-value 00:06:00
    • Type I and Type II errors 00:05:00
    • Confidence intervals and margin of error 00:15:00
    • Excursion: Calculating sample size & power 00:11:00
    • Performing the hypothesis test 00:20:00
    • Practice: Hypothesis test 00:01:00
    • Solution: Hypothesis test 00:06:00
    • T-test and t-distribution 00:13:00
    • Proportion testing 00:10:00
    • Important p-z pairs 00:08:00
    • Intro 00:02:00
    • Linear Regression 00:11:00
    • Correlation coefficient 00:10:00
    • Practice: Correlation 00:02:00
    • Solution: Correlation 00:08:00
    • Practice: Linear Regression 00:01:00
    • Solution: Linear Regression 00:07:00
    • Residual, MSE & MAE 00:08:00
    • Practice: MSE & MAE 00:01:00
    • Solution: MSE & MAE 00:03:00
    • Coefficient of determination 00:12:00
    • Root Mean Square Error 00:06:00
    • Practice: RMSE 00:01:00
    • Solution: RMSE 00:02:00
    • Multiple Linear Regression 00:16:00
    • Overfitting 00:05:00
    • Polynomial Regression 00:13:00
    • Logistic Regression 00:09:00
    • Decision Trees 00:21:00
    • Regression Trees 00:14:00
    • Random Forests 00:13:00
    • Dealing with missing data 00:10:00
    • ANOVA – Basics & Assumptions 00:06:00
    • One-way ANOVA 00:12:00
    • F-Distribution 00:10:00
    • Two-way ANOVA – Sum of Squares 00:16:00
    • Two-way ANOVA – F-ratio & conclusions 00:11:00
    • Wrap up 00:01:00
    • Assignment – Statistics & Probability for Data Science & Machine Learning 00:00:00
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Student Reviews

Ben lim

Gaining improve knowledge in the construction project management and the course is easy to understand.

Mr Brian Joseph Keenan

Very good and informative and quick with marking my assignments and issuing my certificate.

Sarah D

Being a support worker I needed add a child care cert in my portfolio. I have done the course and that was really a good course.

Sam Ryder

The first aid course was very informative with well organised curriculum. I already have some bit and pieces knowledge of first aid, this course helped me a lot.

Ben lim

Gaining improve knowledge in the construction project management and the course is easy to understand.

Thelma Gittens

Highly recommended. The module is easy to understand and definitely the best value for money. Many thanks

BF Carey

First course with Compliance Central. It was a good experience.

Course Currilcum

    • Welcome! 00:02:00
    • What will you learn in this course? 00:06:00
    • How can you get the most out of it? 00:06:00
    • Intro 00:03:00
    • Mean 00:06:00
    • Median 00:05:00
    • Mode 00:04:00
    • Mean or Median? 00:08:00
    • Skewness 00:08:00
    • Practice: Skewness 00:01:00
    • Solution: Skewness 00:03:00
    • Range & IQR 00:10:00
    • Sample vs. Population 00:05:00
    • Variance & Standard deviation 00:11:00
    • Impact of Scaling & Shifting 00:19:00
    • Statistical moments 00:06:00
    • What is a distribution? 00:10:00
    • Normal distribution 00:09:00
    • Z-Scores 00:13:00
    • Practice: Normal distribution 00:04:00
    • Solution: Normal distribution 00:07:00
    • Intro 00:01:00
    • Probability Basics 00:10:00
    • Calculating simple Probabilities 00:05:00
    • Practice: Simple Probabilities 00:01:00
    • Quick solution: Simple Probabilities 00:01:00
    • Detailed solution: Simple Probabilities 00:06:00
    • Rule of addition 00:13:00
    • Practice: Rule of addition 00:02:00
    • Quick solution: Rule of addition 00:01:00
    • Detailed solution: Rule of addition 00:07:00
    • Rule of multiplication 00:11:00
    • Practice: Rule of multiplication 00:01:00
    • Solution: Rule of multiplication 00:03:00
    • Bayes Theorem 00:10:00
    • Bayes Theorem – Practical example 00:07:00
    • Expected value 00:11:00
    • Practice: Expected value 00:01:00
    • Solution: Expected value 00:03:00
    • Law of Large Numbers 00:08:00
    • Central Limit Theorem – Theory 00:10:00
    • Central Limit Theorem – Intuition 00:08:00
    • Central Limit Theorem – Challenge 00:11:00
    • Central Limit Theorem – Exercise 00:02:00
    • Central Limit Theorem – Solution 00:14:00
    • Binomial distribution 00:16:00
    • Poisson distribution 00:17:00
    • Real life problems 00:15:00
    • Intro 00:01:00
    • What is a hypothesis? 00:19:00
    • Significance level and p-value 00:06:00
    • Type I and Type II errors 00:05:00
    • Confidence intervals and margin of error 00:15:00
    • Excursion: Calculating sample size & power 00:11:00
    • Performing the hypothesis test 00:20:00
    • Practice: Hypothesis test 00:01:00
    • Solution: Hypothesis test 00:06:00
    • T-test and t-distribution 00:13:00
    • Proportion testing 00:10:00
    • Important p-z pairs 00:08:00
    • Intro 00:02:00
    • Linear Regression 00:11:00
    • Correlation coefficient 00:10:00
    • Practice: Correlation 00:02:00
    • Solution: Correlation 00:08:00
    • Practice: Linear Regression 00:01:00
    • Solution: Linear Regression 00:07:00
    • Residual, MSE & MAE 00:08:00
    • Practice: MSE & MAE 00:01:00
    • Solution: MSE & MAE 00:03:00
    • Coefficient of determination 00:12:00
    • Root Mean Square Error 00:06:00
    • Practice: RMSE 00:01:00
    • Solution: RMSE 00:02:00
    • Multiple Linear Regression 00:16:00
    • Overfitting 00:05:00
    • Polynomial Regression 00:13:00
    • Logistic Regression 00:09:00
    • Decision Trees 00:21:00
    • Regression Trees 00:14:00
    • Random Forests 00:13:00
    • Dealing with missing data 00:10:00
    • ANOVA – Basics & Assumptions 00:06:00
    • One-way ANOVA 00:12:00
    • F-Distribution 00:10:00
    • Two-way ANOVA – Sum of Squares 00:16:00
    • Two-way ANOVA – F-ratio & conclusions 00:11:00
    • Wrap up 00:01:00
    • Assignment – Statistics & Probability for Data Science & Machine Learning 00:00:00

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