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Statistics & Probability for Data Science & Machine Learning

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Statistics & Probability for Data Science & Machine Learning

What’s the secret language of data scientists? Discover how statistics and probability unlock the true potential of AI.

Original price was: £299.Current price is: £25. ex Vat saleend

Level: Diploma
Duration: 11 hours, 27 minutes
Modules: 88 Modules
Students: 3

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Overview of Statistics & Probability for Data Science & Machine Learning

Join our Statistics & Probability for Data Science & Machine Learning course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Statistics & Probability for Data Science & Machine Learning course has everything you need to get a great start in this sector.

Improving and moving forward is key to getting ahead personally. The Statistics & Probability for Data Science & Machine Learning course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now!

Get a Quick Look at The Course Content:

This Statistics & Probability for Data Science & Machine Learning Course will help you to learn:

This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Statistics & Probability for Data Science & Machine Learning. Enrol today and complete the course to achieve a certificate that can change your career forever.

Details

Perks of Learning with IOMH

Process of Evaluation

After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate.

Certificate of Achievement

Certificate of Completion – Digital / PDF Certificate

After completing the Statistics & Probability for Data Science & Machine Learning course, you can order your CPD Accredited Digital/ PDF Certificate for £5.99.

Certificate of Completion – Hard copy Certificate

You can get the CPD Accredited Hard Copy Certificate for £12.99.

Shipping Charges:

Inside the UK: £3.99
International: £10.99

Who Is This Course for?

This Statistics & Probability for Data Science & Machine Learning is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.

On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.

This course has been developed with maximum flexibility and accessibility, making it ideal for people who don’t have the time to devote to traditional education.

Requirements

You don’t need any educational qualification or experience to enrol in the Statistics & Probability for Data Science & Machine Learning course.

Do note: you must be at least 16 years old to enrol.

Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course.

Career Path

The certification and skills you get from this Statistics & Probability for Data Science & Machine Learning Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors.

Frequently Asked Questions

Q. How do I purchase a course?

1. You need to find the right course on our IOMH website at first. You can search for any course or find the course from the Courses section of our website.
2. Click on Take This Course button, and you will be directed to the Cart page.
3. You can update the course quantity and also remove any unwanted items in the CART and after that click on the Checkout option and enter your billing details.
4. Once the payment is made, you will receive an email with the login credentials, and you can start learning after logging into the portal.

Q. I have purchased the course when will I be able to access the materials?

After purchasing the course, you should receive an email with the login credentials within 24 hours. Please check your spam or junk folder if you didn’t receive it in your inbox. You can access your courses by logging into your account. If you still need any assistance, please get in touch with our Customer Support team by providing the details of your purchase.

Q. I haven't received my certificate yet. What should I do?

You should receive your Digital Certificate within 24 hours after placing the order, and it will take 3-9 days to deliver the hard copies to your address if you are in the UK.

For International Delivery, it will take 20-25 days.

If you require any assistance, get in touch with our dedicated Customer Support team, and your queries/issues will be dealt with accordingly.

Q. I don't have a credit/debit card, what other methods of payment do you accept?

You can make the payment using PayPal or you can Bank Transfer the amount.

For Bank transfer you will require an invoice from us and you need to contact our Customer Support team and provide details of your purchase to get the invoice.

After that, you will receive an email with the invoice and bank details and you can make the payment accordingly.

Q. Can I do the courses from outside UK?

We are an online course provider, and learners from anywhere in the world can enrol on our courses using an internet-connected device.

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To resolve this issue, please log out of your account and then log back in.

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