Statistics & Probability for Data Science & Machine Learning
Statistics & Probability for Data Science & Machine Learning
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Description
Welcome to “Statistics & Probability for Data Science & Machine Learning!” This course provides a comprehensive introduction to statistics and probability concepts essential for data science and machine learning. Understanding statistics and probability is crucial for analyzing data, making predictions, and building machine learning models. In this course, you’ll learn key statistical techniques, probability distributions, and their applications in data analysis, inference, and predictive modeling using real-world datasets.
Interactive video lectures by industry experts
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Fully online, interactive course with Professional voice-over
Developed by qualified first aid professionals
Self paced learning and laptop, tablet, smartphone friendly
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Who Should Take the Course
Anyone with a knack for learning new skills can take this Statistics & Probability for Data Science & Machine Learning
Certification
Once you’ve successfully completed your course, you will immediately be sent a digital certificate.
Accreditation
All of our courses, including this Statistics & Probability for Data Science & Machine Learning, are fully accredited.
Course Curriculum
This section provides an in-depth breakdown of the course structure, topics covered, and what students can expect from each module.
- " Module 01: Let's get started
- Module 02: Descriptive statistics
- Module 03: Distributions
- Module 04: Probability theory
- Module 05: Hypothesis testing
- Module 06: Regressions
- Module 07: Advanced regression & machine learning algorithms
- Section 08: ANOVA (Analysis of Variance)
- Section 09: Wrap up"
Course Rating
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