Cademy logoCademy Marketplace

Course Images

Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7

Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7

By Studyhub UK

4.3(3)
  • 30 Day Money Back Guarantee
  • Completion Certificate
  • 24/7 Technical Support

Highlights

  • On-Demand course

  • 11 hours 27 minutes

  • All levels

Description

Do you want to master the essential mathematical skills for data science and machine learning? Do you want to learn how to apply statistics and probability to real-world problems and scenarios? If yes, then this course is for you!

In this course, you will learn the advanced concepts and techniques of statistics and probability that are widely used in data science and machine learning. You will learn how to describe and analyse data using descriptive statistics, distributions, and probability theory. You will also learn how to perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data. You will gain hands-on experience with practical exercises and projects using Python and R.

Learning Outcomes

By the end of this course, you will be able to:

  • Apply descriptive statistics, distributions, and probability theory to summarise and visualise data
  • Perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data
  • Use Python and R to implement statistical and machine learning methods
  • Interpret and communicate the results of your analysis using appropriate metrics and visualisations
  • Solve real-world problems and scenarios using statistics and probability

Why choose this Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 course?

  1. Unlimited access to the course for a lifetime.
  2. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course.
  3. Structured lesson planning in line with industry standards.
  4. Immerse yourself in innovative and captivating course materials and activities.
  5. Assessments designed to evaluate advanced cognitive abilities and skill proficiency.
  6. Flexibility to complete the Course at your own pace, on your own schedule.
  7. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience.
  8. Unlock career resources for CV improvement, interview readiness, and job success.

Who is this Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 course for?

This course is for anyone who wants to learn the advanced concepts and techniques of statistics and probability for data science and machine learning. This course is suitable for:

  • Data scientists, machine learning engineers, and analysts who want to enhance their skills and knowledge
  • Students and researchers who want to learn the mathematical foundations of data science and machine learning
  • Professionals and managers who want to understand and apply data-driven decision making
  • Hobbyists and enthusiasts who want to explore and learn from data
  • Anyone who loves statistics and probability and wants to challenge themselves

Career path

  • Data Scientist (£35,000 - £55,000)
  • Machine Learning Engineer (£40,000 - £60,000)
  • Statistician (£35,000 - £55,000)
  • Data Analyst (£40,000 - £60,000)
  • Business Intelligence Analyst (£45,000 - £65,000)
  • Senior Data Analyst (£50,000 - £70,000)

Prerequisites

This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.

Certification

After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8.

Endorsed Certificate of Achievement from the Quality Licence Scheme

Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £135 to be delivered to your home by post. For international students, there is an additional postage charge of £10.

Endorsement

The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards.

Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses.

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
Assignment
Assignment - Statistics & Probability for Data Science & Machine Learning 00:00:00
Order your QLS Endorsed Certificate
Order your QLS Endorsed Certificate 00:00:00

About The Provider

Studyhub UK
Studyhub UK
London, England
4.3(3)

Studyhub is a premier online learning platform which aims to help individuals worldwide to realise their educational dreams. For 5 years, we have been dedicated...

Read more about Studyhub UK

Tags

Reviews