Search result for Introduction to probability pdf Online Courses & Certifications
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Introductory Probability and Statistics
by Ash Narayan Sah- 3.9
11 hours on-demand video
This is an introductory course in probability and statistics. Regression Analysis- Introduction to Regression, Regression Line, Assumptions of the Classical Linear Regression Model, OLS Method, Coefficient of Determination (R Square), Standard Error of OLS estimates, Confidence Interval for alpha and beta, Hypothesis testing, Two-Tail, One -Tail, Regression Analysis Solved Example, Forecasting With Regression Model, Regression Estimation Using Excel....
$9.99
Introduction to Financial Accounting
by Brian J Bushee- 4.7
Approx. 13 hours to complete
Master the technical skills needed to analyze financial statements and disclosures for use in financial analysis, and learn how accounting standards and managerial incentives affect the financial reporting process. By the end of this course, you’ll be able to read the three most common financial statements: the income statement, balance sheet, and statement of cash flows....
Engineering Systems in Motion: Dynamics of Particles and Bodies in 2D Motion
by Dr. Wayne Whiteman, PE- 4.9
Approx. 23 hours to complete
This course is an introduction to the study of bodies in motion as applied to engineering systems and structures. Pdf Version of Module 40: Continue to Solve a Work-Energy Problem for 2D Planar Rigid Body Motion Lecture Pdf Version of Module 41: Continue to Solve a Work-Energy Problem for 2D Planar Rigid Body Motion Lecture...
Probability: Basic Concepts & Discrete Random Variables
by Mark D. Ward- 0.0
6 Weeks
Learn fundamental concepts of mathematical probability to prepare for a career in the growing field of information and data science. In this statistics and data analysis course, we will provide an introduction to mathematical probability to help meet your career goals in the exciting new areas becoming known as information science....
$49
Digital Systems: From Logic Gates to Processors
by Elena Valderrama , Jean-Pierre Deschamps , Lluis Terés , Merce Rullan , Joaquín Saiz Alcaine , David Bañeres , Juan Antonio Martínez- 4.4
Approx. 29 hours to complete
Arithmetic components + Introduction to VHDL 2 (1outof2): Introduction to VHDL - Lexicon, syntax and structure 2 (2outof2): Introduction to VHDL - Lexicon, syntax and structure 3 (1outof2): Introduction to VHDL - Sequential sentences 3 (2outof2): Introduction to VHDL - Sequential sentences 4 (1outof2): Introduction to VHDL - Concurrent sentences 4 (2outof2): Introduction to VHDL - Concurrent sentences...
UX Research at Scale: Surveys, Analytics, Online Testing
by Clifford Lampe , Lija Hogan- 4.4
Approx. 19 hours to complete
UX surveys typically focus on uncovering user needs, connecting needs to user characteristics, and gaining insight into user attitudes towards systems they use. -Understand the survey population: when to sample, when to recruit -Learn to critique user surveys Introduction to About Research at Scale Introduction to Behavioral Analytics Introduction to Remote Testing...
Robotics: Estimation and Learning
by Daniel Lee- 4.3
Approx. 15 hours to complete
In this module you will learn how to get robots to incorporate uncertainty into estimating and learning from a dynamic and changing world. Course Introduction WEEK 1 Introduction Basic Probability WEEK 2 Introduction WEEK 3 Introduction Introduction to Mapping Introduction to 3D Mapping WEEK 4 Introduction...
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Six Sigma Advanced Define and Measure Phases
by Christina Scherrer, PhD , Gregory Wiles, PhD , Bill Bailey, PhD- 4.8
Approx. 15 hours to complete
This course is for you if you are looking to dive deeper into Six Sigma or strengthen and expand your knowledge of the basic components of green belt level of Six Sigma and Lean. These skills have been proven to help improve business processes and performance. Introduction Probability and Statistics - pt1...
Neural Networks and Deep Learning
by Andrew NgTop Instructor , Kian KatanforooshTop Instructor , Younes Bensouda MourriTop Instructor- 4.9
Approx. 23 hours to complete
By the end, you will be familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural networks; identify key parameters in a neural network’s architecture; and apply deep learning to your own applications. Introduction to Deep Learning Introduction to Deep Learning...
Data Science Math Skills
by Daniel Egger , Paul Bendich- 4.5
Approx. 13 hours to complete
While this course is intended as a general introduction to the math skills needed for data science, it can be considered a prerequisite for learners interested in the course, "Mastering Data Analysis in Excel," which is part of the Excel to MySQL Data Science Specialization. Sigma Notation - Introduction to Summation Introduction to Probability Theory...