Statistics & Probability for Data Science & Machine Learning
Overview Grasp the science of and how it relates to launching a lucrative career. Prepare for future needs by looking …
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Overview
Grasp the science of Statistics & Probability for Data Science & Machine Learning and how it relates to launching a lucrative career. Prepare for future Statistics & Probability for Data Science & Machine Learning needs by looking beyond the ongoing Statistics & Probability for Data Science & Machine Learning impact with Discover Training’s up-to-date Statistics & Probability for Data Science & Machine Learning course .
Discover Training’s Statistics & Probability for Data Science & Machine Learning course gives you a solid foundation in Statistics & Probability for Data Science & Machine Learning in many settings of human development. With industry expert interviews, you’ll gain a greater understanding of Statistics & Probability for Data Science & Machine Learning‘s applications and limitations, as well as how it’s already been efficiently used in the field. Discover Training’s Statistics & Probability for Data Science & Machine Learning course will help you obtain facts and knowledge to strengthen your abilities on both standard Statistics & Probability for Data Science & Machine Learning techniques.
As you progress through the interactive modules of this online program, you will have a strong grasp of Statistics & Probability for Data Science & Machine Learning to identify new opportunities for innovation and drive digital growth within your organization. Enrol in the Statistics & Probability for Data Science & Machine Learning course today and leverage your knowledge tomorrow.
Description:
Industry professionals developed the content of this online Statistics & Probability for Data Science & Machine Learning course, combining their expertise and in-depth knowledge. The curriculum was developed by Discover Training to assist you in growing in your current role by providing you with the necessary information and concepts. As you progress through the modules of this course, you’ll learn the fundamentals of Statistics & Probability for Data Science & Machine Learning and explore the essential concepts.
Who is this course for?
This Statistics & Probability for Data Science & Machine Learning course is for you if you want to learn about the revolutionary potential of Statistics & Probability for Data Science & Machine Learning. Whether you are a newbie or a seasoned veteran, a grasp of challenges that Statistics & Probability for Data Science & Machine Learning techniques can tackle would benefit anyone working in the Statistics & Probability for Data Science & Machine Learning sector. This Statistics & Probability for Data Science & Machine Learning training covers crucial subjects that will help you overcome challenges and improve your practices.
Requirements:
- Prerequisites: None
- Age Limit: 16+
- Gadgets: Smart devices and internet
Certification
Once the Statistics & Probability for Data Science & Machine Learning course is successfully completed, the learner can obtain the PDF certificate without any cost. The hardcopy version of the certificate is also available for only £9.99. However, anyone ordering the hardcopy certificate from outside the United Kingdom may need to pay an additional delivery charge.
Statistics & Probability for Data Science & Machine Learning Course Reviews
An outstanding online course with clear explanations and practical examples. I could study at my own pace and still feel fully supported throughout. It’s truly boosted my confidence and career prospects
The course was well-structured, engaging, and easy to follow. The flexibility made it perfect alongside my full-time job. I’ve gained valuable, real-world skills that I can apply immediately.
Excellent learning experience from start to finish. The content was professional, up-to-date, and highly relevant. I would highly recommend it to anyone looking to upskill online.
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 | ||
Frequently Asked Questions
Yes, Discover Training provides accredited and CPD-certified courses, ensuring learners receive recognised qualifications that support career progression and professional compliance.
Anyone can enrol, including students, professionals, job seekers, career changers, and organisations. Most courses do not require previous experience, making them accessible to learners at all levels.
Discover Training offers courses across multiple sectors, including business, health and safety, compliance, leadership, IT, personal development, and professional skills training.
You will have 14 days to revoke your Course purchase from your purchase date. Regrettably, refunds are not allowed after your purchase have been approved, and materials have been posted to the student’s dashboard or accessed.
Yes, learners receive a downloadable digital certificate upon successful completion, suitable for CPD records, CVs, and professional portfolios.
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Number of Units:
88 -
Access:
1 Year -
Duration:
11 hours, 27 minutes -
PDF Certificate
Included
