Updated on Jul, 2024
Language - English
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Statistics and Mathematics for Data Science and Data Analytics
Learn statistics & probability for data science and data analysis
Lectures -99
Resources -26
Duration -11 hours
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Course Description
Statistics and Mathematics play an important role if you are aiming for a career in Data Science or Data Analytics. Instead of pursuing a degree in maths, you can use this course as your primary resource to master these crucial concepts. This course by Tutorials Point is designed to equip you with practical knowledge essential to mastering statistics.
Statistics and probability theory often do come across to someone who wants to become a Data Scientist or Data Analyst. Although there is more to Data Science than statistics, knowing the fundamentals can go a long way.
Statistics and Mathematics For Data Science and Data Analytics Overview
This course provides you with the actual knowledge you need in statistics if you work with data. It is taught by an actual mathematician who is also a data scientist. Balancing both, theory and practical real-life examples, the course helps you master the fundamentals of statistics and probability needed in data science and analysis.
The curriculum walks you through the fundamentals of statistics and probability, descriptive statistics, hypothesis testing, regression analysis, and analysis of variance. The course also discusses some advanced regression/Machine Learning techniques such as logistic regressions, polynomial regressions, decision trees, etc.
You will quickly pick up the statistics skills required for a job as a data scientist or data analyst by studying real-world examples.
Who this course is for:
Anyone interested in learning statistics and probability for data science and analysis
Professionals and students who wish to comprehend the necessary statistics for data analysis
Who wants to pursue a career in data science?
Goals
Learn statistics principles for data science and analytics
Master probability theory and descriptive statistics
Learn Machine Learning techniques such as Decision Forests and Decision Trees
Learn Normal distribution, Poisson distribution, and other probability distributions
Understand type I and type II errors, p-values, and hypothesis testing
Understand correlation, R-Square, RMSE, MAE, coefficient of determination, and more.
Learn about logistic regressions, multiple linear regression, regression trees
Prerequisites
The course starts from the basics and gradually paces up to advanced concepts. So, no prior experience is necessary.
Willingness and drive to learn
Curriculum
Check out the detailed breakdown of what’s inside the course
Let's get started
4 Lectures
-
Welcome!
02:05
02:05
-
What will you learn in this course?
05:50
05:50
-
How can you get the most out of it?
05:49
05:49
-
Download: Formula cheat sheet
Descriptive statistics
17 Lectures
Distributions
6 Lectures
Probability Theory
28 Lectures
Hypothesis testing
13 Lectures
Regressions
15 Lectures
Advanced Regression & Machine learning Algorithms
8 Lectures
ANOVA (Analysis of Variance)
6 Lectures
Wrap up
2 Lectures
Instructor Details
Nikolai Schuler
Are you thinking about pursuing a career as a Data Analyst or Data Scientist?
Do you ever think that your career could take a leap forward if you would have more knowledge and skills in the world of data?
Perhaps you are even feeling overwhelmed by the number of courses available or by the fact that your life is already too full to concentrate on one more course?
I am Nikolai Schuler, I am a data scientist and BI consultant, and I have been there too...
A few years ago I noticed that the world of data benefits from many new tools and technologies. However, I also realized that it is extremely difficult to get trained in the field: Practical courses with real quality content are rare and are often structured in such a way that they are incompatible with a working life full of other tasks and activities.
While going through hours of research and training, I came up with the idea of creating a course that would offer extremely valuable content but that would be at the same time easy to follow due to its structure.
My goal is to help as many people as possible to pursue their desired career in this new Digital Age by enabling them to upgrade their data analysis skills. I am proud to say that I am heading in the right direction as my courses have already found their audience in over 170 countries and received thousands of positive feedbacks.
I am super excited about equipping you with the skillset to master Data Science and Data Analytics! If you are looking for quality AND approachable training, then jump onboard! I am really looking forward to leveling up your IT skills.
-- German version --
In meiner Arbeit als Data Scientist sehe ich, dass in der heutigen Zeit neue Tools riesige Vorteile bringen und sie nicht mehr wegzudenken sind. Allerdings sehe ich auch, dass es nicht immer leicht ist, sich neben der täglichen Arbeit in diese neuen Tools einzuarbeiten.
Mir selbst ist es auch schwer gefallen Kurse zu finden, die einerseits qualitativ hochwertig und andererseits verständlich und gut strukturiert sind.
Aus diesem Grund habe ich mich dazu entschlossen, selbst strukturierte und praxisorientierte Kurse zu erstellen.
Da ich sowohl für einfache Anwender als auch für Datenspezialisten Einweisungen in Power BI und anderen Tools gebe, bin ich einerseits technischer Spezialist, habe aber andererseits auch ein gutes Gefühl für die, die nicht die reinen Datenspezialisten sind.
Mir zu überlegen, wie man das Wissen wirklich sinnvoll und verständlich vermitteln kann, ist das, was mir dabei Freude macht.
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