Statistics & Mathematics for Data Science & Data Analytics
Statistics & Mathematics for Data Science & Data Analytics
This course is part of Data Science Essentials: Analysis, Statistics, and ML Specialization
Instructor: Packt - Course Instructors
Access provided by Minia university
11 reviews
Intermediate level
Recommended experience
Flexible schedule
Learn at your own pace
What you'll learn
Master key descriptive statistics concepts, including mean, median, and skewness.
Gain a solid understanding of probability theory, including Bayes' Theorem and the Law of Large Numbers.
Learn hypothesis testing techniques such as t-tests and understand Type I and Type II errors.
Apply regression analysis techniques, including linear and logistic regression, to solve data problems.
Skills you'll gain
- Regression Analysis
- Statistical Inference
- Applied Machine Learning
- Statistics
- Data Analysis
- Probability Distribution
- Statistical Methods
- Data-Driven Decision-Making
- Statistical Analysis
- Predictive Modeling
- Statistical Machine Learning
- Statistical Modeling
- Probability & Statistics
- Probability
- Classification And Regression Tree (CART)
- Data Science
- Bayesian Statistics
- Data Preprocessing
- Predictive Analytics
- Correlation Analysis
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
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This course is part of the Data Science Essentials: Analysis, Statistics, and ML Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
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