ANOVA

Sort options

Analyzing Data with Python (edX)

Self Paced
Analyzing Data with Python (edX)
Course Auditing
Categories
Effort
Languages
In this course, you will learn how to analyze data in Python using multi-dimensional arrays in numpy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and perform machine learning using scikit-learn!
1
Average: 1 ( 2 votes )

Applying Data Analytics in Marketing (Coursera)

This course introduces students to the science of business analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide businesses and managers with the foundation needed to apply data analytics to real-world challenges they confront daily in [...]
1
Average: 1 ( 3 votes )

Regression Modeling Fundamentals (Coursera)

Apr 19th 2021
Regression Modeling Fundamentals (Coursera)
Course Auditing
Categories
Effort
Languages
This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.
0
No votes yet

Introduction to Statistical Analysis: Hypothesis Testing (Coursera)

This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.
0
No votes yet

Inferential Statistics (Coursera)

Inferential statistics are concerned with making inferences based on relations found in the sample, to relations in the population. Inferential statistics help us decide, for example, whether the differences between groups that we see in our data are strong enough to provide support for our hypothesis that group differences [...]
9
Average: 9 ( 3 votes )

Operations Management: Strategy and Quality Management for the Digital Age (Coursera)

In this course you will focus on process improvement. You will learn how to set organizational priorities for continuous process improvement, how to execute process improvement projects, and how to sustain the initiative for continuous improvements. Upon successful completion of this course, you will be able to: understand the [...]
3
Average: 3 ( 3 votes )

Managerial Accounting: Tools for Facilitating and Guiding Business Decisions (Coursera)

In this course, you will explore how to use accounting to allocate resources and incentivize manager and employee behaviors in using these resources. You will also learn how financial and non-financial accounting information facilitates strategic performance measurement and how to integrate this information to continuously improve [...]
9
Average: 9 ( 3 votes )

Regression Models (Coursera)

Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions. Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist’s toolkit. This course covers regression analysis, least squares and inference using [...]
3
Average: 3 ( 3 votes )

Factorial and Fractional Factorial Designs (Coursera)

Many experiments in engineering, science and business involve several factors. This course is an introduction to these types of multifactor experiments. The appropriate experimental strategy for these situations is based on the factorial design, a type of experiment where factors are varied together. This course focuses [...]
0
No votes yet

Statistics with SAS (Coursera)

This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.
0
No votes yet