Search result for Introduction to Statistics Online Courses & Certifications
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Big Data Analysis with Apache Spark
by Anthony D. Joseph- 0.0
4 Weeks
This statistics and data analysis course will attempt to articulate the expected output of data scientists and then teach students how to use PySpark (part of Spark) to deliver against these expectations. All exercises will use PySpark (the Python API for Spark), and previous experience with Spark equivalent to Introduction to Apache Spark, is required....
$99
Statistical Data Analysis with SAS
by John Zhong | JSTARTS.COM- 4.4
4.5 hours on-demand video
Understanding the Data Flow in SAS: Learn SAS Programming from Data Importing, Management, Manipulation to Data Analysis This course aims to provide a comprehensive introduction to the SAS analytic software for Windows. A comprehensive course design from SAS basics to statistical analysis Exposed to several useful PROC step (PRINT, SORT, TRANSPOSE, etc....
$11.99
Population Health: Study Design
by Dennis Mook-Kanamori , Frits Rosendaal , Johanna (Anske) G. van der Bom- 0.0
Approx. 29 hours to complete
Health care professionals increasingly have to make clinical decisions in aging and diverse populations. Also, they have to deal with rising health care costs, fragmented health care supply and advancing medical technologies and IT systems. How to succeed in your online class? Introduction How to create a good research question? To conclude...
Introduction to Bioconductor
by Rafael Irizarry , Michael Love , Vincent Carey- 0.0
4 Weeks
We begin with an introduction to the relevant biology, explaining what we measure and why. 1x: Statistics and R for the Life Sciences 2x: Introduction to Linear Models and Matrix Algebra 5x: Introduction to Bioconductor HarvardX requires individuals who enroll in its courses on edX to abide by the terms of the edX honor code. Introduction to high-throughput technologies...
$149
Applied Machine Learning in Python
by Kevyn Collins-Thompson- 4.6
Approx. 34 hours to complete
This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. Introduction Introduction to Supervised Machine Learning A Few Useful Things to Know about Machine Learning How Machines Make Sense of Big Data: an Introduction to Clustering Algorithms...
Data Analytics for Lean Six Sigma
by Inez ZwetslootTop Instructor- 4.8
Approx. 11 hours to complete
Introduction to Data Analytics for Lean Six Sigma M1-V1 Introduction to Lean Six Sigma M1-V8 Introduction to Minitab Introduction to testing M4-V1 Introduction to data analysis Practice quiz - Introduction to testing M5-V1 Introduction to ANOVA Graded quiz - Introduction to testing & Testing: numerical Y and categorical X M6-V2 Introduction to regression...
Basics of R Programming Language for Buddies
by Prof. M. NAGABHUSHANA RAO , Team, K L UNIVERSITY - INDIA- 3.7
2.5 hours on-demand video
Imbibe R like a passion get knowledge on Data Frames , Basic Statistics and Graphs Hi all this course is designed for elementary level students in R who want to enjoy in learning R. Introduction to R Basic Statistics in R...
$11.99
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Advanced Linear Models for Data Science 1: Least Squares
by Brian Caffo, PhD- 4.4
Approx. 8 hours to complete
Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. This class is an introduction to least squares from a linear algebraic and mathematical perspective. - A basic understanding of statistics and regression models. Introduction Welcome to the class Bases, introduction Introduction to residuals...
Advanced Linear Models for Data Science 2: Statistical Linear Models
by Brian Caffo, PhD- 4.6
Approx. 6 hours to complete
Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective. - A basic understanding of statistics and regression models. Welcome to the class Introduction to expected values Introduction to the multivariate normal...
Data – What It Is, What We Can Do With It
by Jennifer Bachner, PhD- 4.5
Approx. 11 hours to complete
This course introduces students to data and statistics. By the end of the course, students should be able to interpret descriptive statistics, causal analyses and visualizations to draw meaningful insights. We’ll then cover how to develop a research study for causal analysis, compute and interpret descriptive statistics and design effective visualizations....