The Master statistics & machine learning: intuition, math, code is a comprehensive course that delves deep into the fundamental concepts of statistics and machine learning. This course is designed to help you master these techniques with practical applications in Python and MATLAB, making you a proficient data scientist or researcher in any technical field. The course provides a rigorous and engaging deep-dive into statistics and machine-learning, with the right mix of mathematical rigor and intuitive explanations, and plenty of hands-on explorations.
A Course That Covers Everything You Need
The course is a one-stop-shop for everything you need to understand the fundamentals of statistics, machine learning, and data science, from bar plots to ANOVAs, regression to k-means, t-test to non-parametric permutation testing. With over 1768 course reviews and an aggregate rating of 4.68032, students have lauded the course for its comprehensive curriculum and practical applications.
Whether you are looking to become a future-proof employee, an employer, a data scientist, or a researcher in any technical field, this course will provide you the knowledge and skills you need to succeed. The course's instructor, who has over 20 years of experience studying, developing, and teaching statistics, brings the same passion and enthusiasm to the topic, making the subject matter accessible and fun to learn.
What's more, the course comes with access to a Q&A section, in which the instructor actively participates every day. This means that you can post your questions and doubts about the course material, and get a response from the instructor within a day. You can also post your code for feedback, ask for explanations or just show off!
A Balancing Act Between Mathematical Rigor and Intuitive Explanations
The course's instructor strikes the right balance between mathematical rigor and intuitive explanations. High-school level maths are enough to understand the applications-oriented curriculum of the course, meaning that you don't have to worry about proofs, derivations, or calculus. And if you're afraid of coding, the course is designed to cater to everyone's needs. You can successfully complete the course without writing a single line of code!
But if you do want to follow along with the code, basic coding skills in Python or MATLAB will suffice. Participating in the coding exercises will help you learn the material better. The MATLAB code relies on the Statistics and Machine Learning toolbox, but you can use Octave if you don't have MATLAB or the statistics toolbox. Python code is written in Jupyter notebooks.
The course provides six solid reasons as to why you should take this course:
- This course covers everything you need to understand the fundamentals of statistics, machine learning, and data science, from bar plots to ANOVAs, regression to k-means, t-test to non-parametric permutation testing.
- After completing this course, you will be able to understand a wide range of statistical and machine-learning analyses, which will help you with even the most advanced methods.
- This course balances mathematical rigor with intuitive explanations and hands-on explorations in code, making it accessible to everyone.
- You will have access to the Q&A section, where you will be able to post your questions and doubts about the course material, and get a response from the instructor within a day.
- The course instructor has over 20 years of experience studying, developing, and teaching statistics.
- The course is a one-stop-shop for becoming a proficient data scientist or researcher in any technical field.
A Course That Is Always Improving
The course is always up-to-date, regularly maintained and updated with new lectures to keep it alive. The instructor also adds new lectures (or sometimes re-film existing lectures) to explain maths concepts better if students find a topic confusing or if there are some mistakes in the lecture.
The "last updated" text at the top of the page lets you know when the course was last improved. This means that you don't have to worry about the course being out of date. The instructor strives to keep everything up-to-date, so that you can learn the latest concepts, techniques, and applications in the field without any worry.
A Course That Helps You Future-Proof Yourself
The world is changing rapidly, and so are the skills that are required to succeed. Statistics and machine learning are fundamental to artificial intelligence (AI) and business intelligence, making them increasingly important topics in the job market. In fact, nearly all areas of human civilization are incorporating code and numerical computations, meaning that many jobs and areas of study are based on applications of statistical and machine-learning techniques in programming languages like Python and MATLAB.
The course is designed to provide you with the skills you need to become a future-proof employee, employer, data scientist, or researcher in any technical field. Whether you're looking to study data science, engineering, research science, or even deep learning, the course provides the concepts you need to know, such as probability theory and confidence intervals, k-means clustering and PCA, Spearman correlation and logistic regression, in computer languages like Python or MATLAB.
The course's curriculum is perfect for anyone who wants to stay ahead of the curve in the field of statistics and machine learning. And, it's never too late to start learning statistical concepts, even if you have no previous experience with statistics, machine learning, deep learning, or data science. So, invest in yourself and your future by learning from this course.
