Rating: 4.6 out of 5
Are you looking to dive into the world of Data Science or Data Analytics but feel intimidated by the thought of having to know advanced math? Well, it turns out you don’t need a degree in Mathematics to understand the practical statistics required for the job. This online course offers the perfect chance for individuals interested in becoming Data Scientists or Data Analysts to develop a strong foundation in statistics and probability theory.
Taught by an experienced mathematician who also works as a data scientist, this course bridges both theory and real-life practical examples. It is designed to help you systematically master core concepts in probability, descriptive statistics, hypothesis testing, regression analysis, and even some advanced machine learning methods such as logistic regressions, decision trees, and more. By completing this course, you’ll possess the essential knowledge and confidence to conquer the fundamentals of statistics and probability required in data science and data analysis. Don’t let that lingering hesitation hold you back any longer. Enroll in this course today and take the first steps to advance your career!
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Skills you’ll learn
- Core concepts in statistics and probability
- Descriptive statistics
- Hypothesis testing
- Regression analysis
- Analysis of variance
- Logistic regression
- Polynomial regression
- Decision trees and other advanced machine learning methods
Dive into the fascinating world of data science and data analytics with the highly-regarded instructor Nikolai Schuler. Consisting of 91 meticulously crafted lessons, this course has already lured over 7,000 enthusiastic learners. Garnering an impressive 4.6 stars out of 5, it promises to deliver a thorough education in both statistics and mathematics catered to the contemporary data-driven landscape.