Search result for Probability and statistics course online Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 340 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
State Estimation and Localization for Self-Driving Cars
by Jonathan Kelly , Steven Waslander- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 27 hours to complete
Welcome to State Estimation and Localization for Self-Driving Cars, the second course in University of Toronto’s Self-Driving Cars Specialization. 0, familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vectors and inverses), Statistics (Gaussian probability distributions), Calculus and Physics (forces, moments, inertia, Newton's Laws). Module 0: Welcome to Course 2: State Estimation and Localization for Self-Driving Cars...
Fundamentals of Machine Learning in Finance
by Igor Halperin- 3.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 18 hours to complete
Experience with Python (including numpy, pandas, and IPython/Jupyter notebooks), linear algebra, basic probability theory and basic calculus is necessary to complete assignments in this course. Smola and B. Scholkopf, “A Tutorial on Support Vector Regression”, Statistics and Computing, vol. Geron, “Hands-On Machine Learning with Scikit-Learn and TensorFlow”, Chapters 6 & 7...
Quantitative Methods
by Annemarie Zand Scholten- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 30 hours to complete
Discover the principles of solid scientific methods in the behavioral and social sciences. Join us and learn to separate sloppy science from solid research! This course will cover the fundamental principles of science, some history and philosophy of science, research designs, measurement, sampling and ethics. How do manipulation and control work (in the lab vs the field)?...
Bayesian Machine Learning in Python: A/B Testing
by Lazy Programmer Inc.- 4.6
-
![]()
![]()
![]()
![]()
![]()
10.5 hours on-demand video
Data Science, Machine Learning, and Data Analytics Techniques for Marketing, Digital Media, Online Advertising, and More This course is all about A/B testing. Marketing, retail, newsfeeds, online advertising, and more. You’ll probably need to come back to this course several times before it fully sinks in. Probability (joint, marginal, conditional distributions, continuous and discrete random variables, PDF, PMF, CDF)...
$14.99
Accounting Data Analytics with Python
by Ronald Guymon , Linden Lu- 4.1
-
![]()
![]()
![]()
![]()
![]()
Approx. 32 hours to complete
This course focuses on developing Python skills for assembling business data. The first half of the course picks up where Introduction to Accounting Data Analytics and Visualization left off: using in an integrated development environment to automate data analytic tasks. We then analyze the data using visualizations and linear regression. Gies Online Programs...
Certified Six Sigma Green Belt Training
by Quality Gurus Inc.- 4.5
-
![]()
![]()
![]()
![]()
![]()
24 hours on-demand video
You find concepts such as central limit theorem, probability distributions, hypothesis testing and design of experiments are too complex to understand. You wish someone could explain these to you without using complex terminology, in a plain and simple language. Let me help you in understanding these concepts in plain and simple terms at such an affordable price. Probability and statistics...
$49.99
Keras: Deep Learning in Python
by Francisco Juretig- 3.7
-
![]()
![]()
![]()
![]()
![]()
10 hours on-demand video
The student is required to be familiar with Python, and machine learning; Some general knowledge on statistics and probability is recommended, but not strictly necessary. We also show how to actually bypass Keras, and build the models directly in Theano/Tensorflow syntax (although this is quite complex!) All the lectures here can be downloaded and come with the corresponding material....
$13.99
Related searches
Manufacturing Systems I
by Stanley B. Gershwin- 0.0
-
![]()
![]()
![]()
![]()
![]()
8 Weeks
Learn about manufacturing systems and ways to analyze them in terms of material flow and storage, information flow, capacities, and times and durations of events, especially random events. We will start with a review of probability and statistics, and then cover topics in linear programming, queueing theory, inventory management and the Toyota Production System (TPS)....
$175
Introduction to Self-Driving Cars
by Steven Waslander , Jonathan Kelly- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 35 hours to complete
Welcome to Introduction to Self-Driving Cars, the first course in University of Toronto’s Self-Driving Cars Specialization. This course will introduce you to the terminology, design considerations and safety assessment of self-driving cars. 0, familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vectors and inverses), Statistics (Gaussian probability distributions), Calculus and Physics (forces, moments, inertia, Newton's Laws)....
Ultimate Guide to Options Trading: From Novice to Pro
by Alex Yi- 3.9
-
![]()
![]()
![]()
![]()
![]()
4 hours on-demand video
Instead of trying to hopelessly guess what the next stock move is going to be, we rely on proven probability and statistics to drive our trading decisions. You'll get lifetime access! Register once and you'll have lifetime access to the course materials, which will continuously be updated with any new strategies, videos, and course materials....
$12.99
Previous
