Search result for Introduction to Statistics Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 329 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Statistical Inference and Modeling for High-throughput Experiments
by Rafael Irizarry , Michael Love- 0.0
-
![]()
![]()
![]()
![]()
![]()
4 Weeks
A focus on the techniques commonly used to perform statistical inference on high throughput data. In this course you’ll learn various statistics topics including multiple testing problem, error rates, error rate controlling procedures, false discovery rates, q-values and exploratory data analysis. 2x: Introduction to Linear Models and Matrix Algebra 5x: Introduction to Bioconductor...
$149
Learn By Example: Statistics and Data Science in R
by Loony Corn- 3.8
-
![]()
![]()
![]()
![]()
![]()
9 hours on-demand video
A gentle yet thorough introduction to Data Science, Statistics and R using real life examples This course is a gentle yet thorough introduction to Data Science, Statistics and R using real life examples. Data Science, Statistics and R: This course is an introduction to Data Science and Statistics using the R programming language....
$12.99
Exploratory Data Analysis with MATLAB
by Erin Byrne , Michael Reardon , Maria Gavilan-Alfonso , Brandon Armstrong , Nikola Trica , Cris LaPierre , Adam Filion , Heather Gorr- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 19 hours to complete
You will use interactive features in MATLAB to extract subsets of data and to compute statistics on groups of related data. Introduction to the Data Science Workflow Introduction to Storm Events Data Quiz 1: Introduction to Data Science Introduction to Module 2: Importing Data Introduction to Module 3: Visualizing and Filtering Data...
Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions
by Sharad Borle- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 21 hours to complete
The ability to understand and apply Business Statistics is becoming increasingly important in the industry. A good understanding of Business Statistics is a requirement to make correct and relevant interpretations of data. • Introduction to statistical distributions Introduction to the Box Plot and Standard Deviation Introduction to the Box Plot and the Standard Deviation...
Statistics and R
by Rafael Irizarry , Michael Love- 0.0
-
![]()
![]()
![]()
![]()
![]()
4 Weeks
An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences. Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. 2x: Introduction to Linear Models and Matrix Algebra 5x: Introduction to Bioconductor...
$249
Mathematical Biostatistics Boot Camp 1
by Brian Caffo, PhD- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 13 hours to complete
Welcome to the Course...
Understanding and Visualizing Data with Python
by Brenda Gunderson , Brady T. West , Kerby Shedden- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 20 hours to complete
In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visualizing data. WEEK 1 - INTRODUCTION TO DATA Interview: Perspectives on Statistics in Real Life Introduction to Jupyter Notebooks Introduction to Libraries and Data Management Introduction to Pizza Assignment...
Related searches
Introduction to Data Science and Machine Learning
by Fadi Khoury- 4
-
![]()
![]()
![]()
![]()
![]()
1 hour on-demand video
This is a high level introduction to Data Science and Machine Learning for beginners and managers. This is a great way to start your journey towards data literacy! 2) Basic Probability and Statistics...
$12.99
Probability Theory, Statistics and Exploratory Data Analysis
by Ilya V. Schurov- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 22 hours to complete
While introducing you to the theory, we'll pay special attention to practical aspects for working with probabilities, sampling, data analysis, and data visualization in Python. Introduction to the 1st week Introduction to the 2nd week Introduction to the 3rd week Introduction to the 4th week Introduction to the 5th week Introduction to the 6th week...
Bayesian Statistics
by Mine Çetinkaya-Rundel , David Banks , Colin Rundel , Merlise A Clyde- 3.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 35 hours to complete
You will learn to use Bayes’ rule to transform prior probabilities into posterior probabilities, and be introduced to the underlying theory and perspective of the Bayesian paradigm. Introduction to Statistics with R The Basics of Bayesian Statistics The Basics of Bayesian Statistics From the Discrete to the Continuous Comparing Two Independent Means: What to Report?...
Previous
