Search result for Probability and Statistics Online Courses & Certifications
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Algebra: Elementary to Advanced - Equations & Inequalities
by Joseph W. Cutrone, PhDTop Instructor- 4.8
Approx. 10 hours to complete
This course is intended for students looking to create a solid algebraic foundation of fundamental mathematical concepts from which to take more advanced courses that use concepts from precalculus, calculus, probability, and statistics. This course will help solidify your computational methods, review algebraic formulas and properties, and apply these concepts model real world situations....
The Actuarial Profession: Basic Sciences and Principles
by Mohammad Sartawi- 3.1
35 mins on-demand video
The Actuarial Profession: Historical Development, Basic Sciences, and Principles the principles and scientific concepts and ideas that underpin the actuarial Differences between the principles and the rules of practice of Basic concepts and ideas underlying the actuarial studies – Explain the standards and rules of practice of the actuarial...
$12.99
Applied Statistics Masterclass
by Sumit Saha (Ph.D)- 4.5
8 hours on-demand video
Taught 3000+ students offline and now extending the course and experience to online students like you. Training, quizzes, and practical steps you can follow - this is one of the most comprehensive Statisticscourses available. - Downloadable workout Notes for competitive exams and future reference purpose Every second you wait is costing you a valuable chance for learning and to outstand....
$12.99
Introduction to Statistics
by Quantitative Specialists- 4.6
2.5 hours on-demand video
Introductory Statistics as Covered in the Social, Behavioral, and Natural Sciences Probability, the Normal Curve and z-Scores - An introduction to probability is provided, along with properties of the normal distribution and how to calculate and interpret z-scores Goals/Learning Objectives: Understand beginning probability including important characteristics of the normal (Gaussian) distribution, as well as how to calculate and interpret z-scores....
$13.99
Statistics for Data science
by Shivprasad Koirala- 4.3
1 hour on-demand video
This course teaches Data Science with Maths statistics from basic to advanced level. I recommend start with statistics first using simple excel and the later apply the same using python and R. Chapter 4:- Spread and seeing the same visually. Lesson 4 :- The ZScore calculationChapter 16:- Probability of getting 50% above and 50% less....
$11.99
Probabilistic Graphical Models 1: Representation
by Daphne Koller- 4.6
Approx. 67 hours to complete
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more....
Probabilistic Deep Learning with TensorFlow 2
by Dr Kevin Webster- 4.7
Approx. 53 hours to complete
You will learn how probability distributions can be represented and incorporated into deep learning models in TensorFlow, including Bayesian neural networks, normalising flows and variational autoencoders. The additional prerequisite knowledge required in order to be successful in this course is a solid foundation in probability and statistics. The TensorFlow Probability library...
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Distributed Machine Learning with Apache Spark
by Ameet Talwalkar , Jon Bates- 0.0
4 Weeks
Learn the underlying principles required to develop scalable machine learning pipelines and gain hands-on experience using Apache Spark. Machine learning aims to extract knowledge from data, relying on fundamental concepts in computer science, statistics, probability and optimization. This statistics and data analysis course introduces the underlying statistical and algorithmic principles required to develop scalable real-world machine learning pipelines....
$99
Probabilistic Graphical Models 3: Learning
by Daphne Koller- 4.6
Approx. 66 hours to complete
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more....
Probabilistic Graphical Models 2: Inference
by Daphne Koller- 4.6
Approx. 38 hours to complete
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more....