Statistics with MATLAB
Statistics with MATLAB, available at Free, has an average rating of 4.55, with 16 lectures, based on 111 reviews, and has 8131 subscribers.
You will learn about Statistics with MATLAB This course is ideal for individuals who are Anyone interested in statistics and matlab It is particularly useful for Anyone interested in statistics and matlab.
Enroll now: Statistics with MATLAB
Summary
Title: Statistics with MATLAB
Price: Free
Average Rating: 4.55
Number of Lectures: 16
Number of Published Lectures: 16
Number of Curriculum Items: 16
Number of Published Curriculum Objects: 16
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- Statistics with MATLAB
Who Should Attend
- Anyone interested in statistics and matlab
Target Audiences
- Anyone interested in statistics and matlab
In this course, statistic subjects will be covered using MATLAB. We will start with the explanation of vectors, matrices and cells, then proceed with the tables which is an important subject in statistics. Density functions and cumulative distribution functions will be explained. Histograms and boxplots use in MATLAB will be explained by examples. We will consider Hypothesis tests using MATLAB functions ztest, ttest, vartest. Analysis of variance, and multivariate analysis of variance will be studied using MATLAB. Linear and non-linear regression models will be covered. Generation of random data for definite densities and simulation using random data is the last topic to be covered in this course.
Course Curriculum
Chapter 1: Vectors, matrices, indexing, sub-vectors and sub-matrices, cells, arrays
Lecture 1: Creating, Concatenating, and Expanding Matrices
Lecture 2: Accessing to the Elements of Vectors and Matrices
Lecture 3: Reshaping and sorting vectors and matrices
Lecture 4: Multidimentional arrays
Lecture 5: Cell array creation and accessing to the elements of cell arrays
Lecture 6: Access Data in Cell Array
Chapter 2: Tables and manipulation of tables in MATLAB
Lecture 1: Table creation in MATLAB
Lecture 2: Table creation from file using readtable matlab function and import table icon
Lecture 3: Table creation, assigning row and variable names and accessing to the elements
Lecture 4: Table indexing methods
Chapter 3: Histogram Plot
Lecture 1: Histogram plot using the MATLAB histogram() function
Lecture 2: Histogram plot using the MATLAB histogram() function
Lecture 3: Histogram Plot with Normalization
Lecture 4: Plot multiple histograms, fitting pdf to normalized histogram
Lecture 5: 2D Histogram plot using histogram2() MATLAB function
Chapter 4: Hypothesis Testing
Lecture 1: Z-TEST using MATLAB
Instructors
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Prof. Dr. Academic Educator
Prof. Dr. Academic Educator
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 4 votes
- 3 stars: 19 votes
- 4 stars: 40 votes
- 5 stars: 48 votes
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