Mathematics Probability & Statistics for Machine Learning

SKU: M2044
5 Lesson
|
8 Hours
Probability and Statistics for Machine Learning helps learners build a strong mathematical foundation for machine learning and data science. The course introduces key concepts such as probability theory, probability distributions, statistical inference, hypothesis testing, and Bayesian methods using practical machine learning examples. By the end of this course, learners will understand how statistical concepts support machine learning models and data analysis. This course is ideal for aspiring data scientists, machine learning engineers, and analytics professionals who want to strengthen their mathematical fundamentals.

Overview

Prerequisites

  • Basic understanding of mathematics concepts
  • Familiarity with basic Python programming
  • Interest in machine learning and data analysis

What You Will Learn in This Course

  • Fundamentals of probability for machine learning
  • Understanding random variables and probability distributions
  • Basics of statistical inference and hypothesis testing
  • Introduction to Bayesian methods in machine learning
  • Understanding mean, variance, and standard deviation in data analysis
  • How probability and statistics support machine learning models

Career Opportunities

  • Data Analyst
  • Junior Data Scientist
  • Entry-Level Machine Learning Engineer
  • Business Intelligence Analyst
  • Data Science Associate

Key Features

Course Curriculum

1. Probability concepts and terminology
2. Events, outcomes, and sample space
3. Conditional probability and independence
1. Discrete and continuous random variables
2. Common probability distributions (Normal, Binomial, Poisson)
3. Expected value and variance
1. Mean, median, and mode
2. Variance and standard deviation
3. Understanding data distribution and skewness
1. Population vs sample concepts
2. Confidence intervals
3. Hypothesis testing and p-values
1. Introduction to Bayesian thinking
2. Bayes’ theorem and conditional probability
3. Role of probability and statistics in machine learning models
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Course Fees

Online Class Room Program

US $ 199.00
100% Money Back Guarantee
  • Duration : 8 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 24 Jun 2026
  • Weekday Batch 29 Jun 2026
  • Weekend Batch 27 Jun 2026

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support

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Certification

After completing the Probability and Statistics for Machine Learning Training, you will receive an igmGuru Course Completion Certificate. This certification confirms that you have gained a solid understanding of fundamental probability and statistical concepts used in machine learning, including probability distributions, hypothesis testing, and statistical inference.

The certificate demonstrates that you have built a strong beginner-level foundation in probability and statistics and are prepared to apply these concepts in data analysis and continue learning advanced machine learning and data science topics.

Certification

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