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Statistics & Probability for Data Science & Machine Learning Course

Statistics & Probability for Data Science & Machine Learning Course

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Highlights

  • On-Demand course

  • 11 hours 27 minutes

  • All levels

Description

Overview

By enroling in Statistics & Probability for Data Science & Machine Learning, you can kickstart your vibrant career and strengthen your profound knowledge. You can learn everything you need to know about the topic.

The Statistics & Probability for Data Science & Machine Learning course includes all of the most recent information to keep you abreast of the employment market and prepare you for your future. The curriculum for this excellent Statistics & Probability for Data Science & Machine Learning course includes modules at all skill levels, from beginner to expert. You will have the productivity necessary to succeed in your organisation once you have completed our Statistics & Probability for Data Science & Machine Learning Program.

So enrol in our Statistics & Probability for Data Science & Machine Learning course right away if you're keen to envision yourself in a rewarding career.

Description

Enroling in this Statistics & Probability for Data Science & Machine Learning course can improve your Statistics & Probability for Data Science & Machine Learning perspective, regardless of your skill levels in the Statistics & Probability for Data Science & Machine Learning topics you want to master. If you're already a Statistics & Probability for Data Science & Machine Learning expert, this peek under the hood will provide you with suggestions for accelerating your learning, including advanced Statistics & Probability for Data Science & Machine Learning insights that will help you make the most of your time. This Statistics & Probability for Data Science & Machine Learning course will act as a guide for you if you've ever wished to excel at Statistics & Probability for Data Science & Machine Learning.

Why Choose Us?

  • This course is accredited by the CPD Quality Standards.
  • Lifetime access to the whole collection of the learning materials.
  • Online test with immediate results.
  • Enroling in the course has no additional cost.
  • You can study and complete the course at your own pace.
  • Study for the course using any internet-connected device, such as a computer, tablet, or mobile device.

Certificate of Achievement

Upon successful completion, you will qualify for the UK and internationally-recognised CPD certificate and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £4.99 and Hardcopy Certificate for £9.99.

Who Is This Course For?

This Statistics & Probability for Data Science & Machine Learning course is a great place to start if you're looking to start a new career in Statistics & Probability for Data Science & Machine Learning field. This training is for anyone interested in gaining in-demand Statistics & Probability for Data Science & Machine Learning proficiency to help launch a career or their business aptitude. 

Requirements

The Statistics & Probability for Data Science & Machine Learning course requires no prior degree or experience. All you require is English proficiency, numeracy literacy and a gadget with stable internet connection. Learn and train for a prosperous career in the thriving and fast-growing industry of Statistics & Probability for Data Science & Machine Learning, without any fuss.

Career Path

This Statistics & Probability for Data Science & Machine Learning training will assist you develop your Statistics & Probability for Data Science & Machine Learning ability, establish a personal brand, and present a portfolio of relevant talents. It will help you articulate a  Statistics & Probability for Data Science & Machine Learning professional story and personalise your path to a new career. Furthermore, developing this Statistics & Probability for Data Science & Machine Learning skillset can lead to numerous opportunities for high-paying jobs in a variety of fields.

Order Your Certificate

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Course Curriculum

Section 01: Let's get started
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
Section 02: Descriptive statistics
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
Section 03: Distributions
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
Section 04: Probability theory
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
Section 05: Hypothesis testing
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
Section 06: Regressions
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
Section 07: Advanced regression & machine learning algorithms
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
Section 08: ANOVA (Analysis of Variance)
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
Section 09: Wrap up
Wrap up 00:01:00
Order Your Certificate
Order Your Certificate 00:00:00

About The Provider

NextGen Learning
NextGen Learning
London, United Kingdom

NextGen Learning offers futuristic learning tailored for emerging leaders. Dedicated to empowering learners, this platform boasts a vast array of courses, crafted by industry...

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