Probability and Statistics Essential Training

Probability and Statistics Essential Training

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Course Overview

Become a trained professional from the safety and comfort of your own home by taking Probability and Statistics Essential Training . Whatever your situation and requirements, One Education can supply you with professional teaching, gained from industry experts, and brought to you for a great price with a limited-time discount.

One Education has been proud to produce an extensive range of best-selling courses, and Probability and Statistics Essential Training is one of our best offerings. It is crafted specially to promote easy learning at any location with an online device. Each topic has been separated into digestible portions that can be memorised and understood in the minimum of time. 

Teaching and training are more than just a job for the staff at One Education; we take pride in employing those who share our vision for e-learning and its importance in today’s society. To prove this, all learning materials for each course are available for at least one year after the initial purchase.  

All of our tutors and IT help desk personnel are available to answer any questions regarding your training or any technical difficulties. 

By completing Probability and Statistics Essential Training, you will have automatically earnt an e-certificate that is industry-recognised and will be a great addition to your competencies on your CV.

Whatever your reason for studying Probability and Statistics Essential Training, make the most of this opportunity from One Education and excel in your chosen field.

Please be aware that there are no hidden fees, no sudden exam charges, and no other kind of unexpected payments. All costs will be made very clear before you even attempt to sign up. 

Course design

The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.

You are taught through a combination of

  • Video lessons
  • Online study materials

Will I receive a certificate of completion?

Upon successful completion, you will qualify for the UK and internationally-recognised CPD accredited certification. You can choose to make your achievement formal by obtaining your PDF Certificate at the cost of £9 and Hard Copy Certificate for £15.

Why study this course

It doesn’t matter if you are an aspiring professional or absolute beginner; this course will enhance your expertise and boost your CV with critical skills and an accredited certification attesting to your knowledge.

The Probability and Statistics Essential Training is fully available to anyone, and no previous qualifications are needed to enrol. All One Education needs to know is that you are eager to learn and are over 16.

Course Curriculum

Introduction 00:02:00
Course Overview 00:03:00
Descriptive Statistics
The Mean Average 00:15:00
The Median Average 00:09:00
The Modal Average 00:08:00
Comparing Averages 00:09:00
Quantiles, Range and Inter-Quartile Range 00:14:00
Standard Deviation and Variance 00:16:00
The Coefficient of Variation 00:05:00
Skew 00:12:00
Kurtosis 00:11:00
Correlation Coefficients 00:17:00
Cleaning Data
Anomalies and Outliers 00:17:00
Coding Your Data 00:11:00
Data Visualization
Line Graphs 00:11:00
Bar Charts 00:10:00
Dual Axis Charts 00:07:00
Pie Charts 00:07:00
Histograms 00:13:00
Box Plots 00:09:00
Cumulative Frequency 00:10:00
Comparing Visualizations 00:13:00
Populations and Samples 00:06:00
Random Sampling 00:14:00
Non-Random Sampling 00:06:00
What is Probability? 00:09:00
Set Notation 00:10:00
Independent Events 00:04:00
Mutually Exclusive Events 00:06:00
Tree Diagrams 00:07:00
Venn Diagrams 00:13:00
Conditional Probability 00:11:00
Bayes’ Theorem 00:14:00
Discrete Distributions
What is a Discrete Random Variable? 00:08:00
Probability Mass Functions 00:06:00
The Expectation of a Discrete Random Variable 00:07:00
The Variance of a Discrete Random Variable 00:08:00
The Binomial Distribution – Intro 00:11:00
The Binomial Distribution Formula – Part 1 00:18:00
The Binomial Distribution Formula – Part 2 00:07:00
Using Excel to Solve Binomial Problems 00:08:00
Applying the Binomial Distribution to Real-World Problems 00:06:00
Conditional Probability with the Binomial Distribution 00:06:00
The Poisson Distribution – Intro 00:07:00
Using Excel to Solve Poisson Problems 00:09:00
Applying the Poisson Distribution Real-World Problems 00:08:00
Conditional Probability with the Poisson Distribution 00:06:00
The Geometric Distribution 00:09:00
Expectation and Variance of Distributions 00:08:00
Approximating the Binomial Distribution with the Poisson Distribution 00:06:00
Derivation of the Poisson Formula 00:13:00
Continuous Distributions
What is a Continuous Distribution? 00:13:00
The Normal Distribution – Intro 00:12:00
Calculating Probabilities with the Normal Distribution 00:14:00
The Inverse Normal Distribution 00:13:00
Z-Scores 00:11:00
Finding Unknown Means and Standard Deviations 00:10:00
Conditional Probability with the Normal Distribution 00:10:00
Normal Approximations to Binomial Distributions – Part 1 00:13:00
Normal Approximations to Binomial Distributions – Part 2 00:08:00
Normal Approximations to Poisson Distributions 00:14:00
The Central Limit Theorem 00:22:00
The Limitations of the Central Limit Theorem 00:09:00
Continuous Random Variables – Probability Density Functions 00:14:00
Continuous Random Variables – Cumulative Distribution Functions 00:11:00
Continuous Random Variables – Expectation and Variance 00:09:00
Continuous Random Variables – Medians and Quartiles 00:09:00
Hypothesis Tests
Introduction to Hypothesis Tests – P-Values 00:11:00
Binomial Hypothesis Tests – Part 1 00:10:00
Binomial Hypothesis Tests – Part 2 00:07:00
Binomial Hypothesis Tests – Critical Regions 00:15:00
Two-Tailed Tests 00:09:00
Poisson Hypothesis Tests 00:08:00
Poisson Critical Regions 00:08:00
Normal Hypothesis Tests 00:12:00
Normal Hypothesis Tests – Critical Regions 00:13:00
T-Tests 00:13:00
Confidence Intervals 00:14:00
Correlation 00:08:00
Linear Regression 00:15:00
Evaluating a Regression Line 00:07:00
Correlation Hypothesis Tests – Intro 00:07:00
Carrying Out a Test for Correlation 00:08:00
Correlation Confidence Intervals 00:05:00
Working with Non-Linear Data – Exponential Models 00:09:00
Working with Non-Linear Data – Polynomial Models 00:08:00
Quality of Tests
Type I Errors 00:16:00
Type II Errors 00:10:00
Size and Power 00:23:00
P-Hacking 00:06:00
Chi-Squared Tests
The Chi-Squared Distribution 00:11:00
Chi-Squared Tests for Goodness of Fit 00:14:00
Grouping 00:12:00
Using Estimated Parameters in Chi-Squared Tests 00:13:00
Chi-Squared Tests for Association 00:15:00

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