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Power and Sample Size for Multilevel and Longitudinal Study Designs
by Albert Ritzhaupt- 4.4
Approx. 24 hours to complete
The goal of the course is to teach and disseminate methods for accurate sample size choice, and ultimately, the creation of a power/sample size analysis for a relevant research study in your professional context. 1 Alignment of power and data analysis Power or sample size analysis quiz 4 3 Power for subgroup analysis...
Survey analysis to Gain Marketing Insights
by David Schweidel- 4.5
Approx. 5 hours to complete
XL Stat offers a 30-day free trial, so students could complete this course without incurring additional expense. Introduction to Factor Analysis Using Factor Analysis to Identify Underlying Constructs - Part 1 Using Factor Analysis to Identify Underlying Constructs - Part 2 Implementing Factor Analysis Using Factor Analysis to Identify Underlying Constructs - Part 3...
Ask Questions to Make Data-Driven Decisions
by Google Career CertificatesTop Instructor- 4.7
Approx. 18 hours to complete
This is the second course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. - Discover how and why spreadsheets are an important tool for data analysts. From issue to action: The six data analysis phases Data scenarios and responses Limitations of data...
Quantitative Research
by Susan Berman , Olivier Rubel, PhD- 4.4
Approx. 17 hours to complete
Week 4: Predict most likely outcomes from the marketing decisions and match the type of analysis needed for your business problem. Course Introduction Reviewing Your Data and Looking for Errors Descriptive Analysis: Nominal Data Descriptive Analysis: Ordinal and Interval Data Association Analysis: Correlation Analysis Causal Analysis Quantitative Data Analysis Techniques for Data-Driven Marketing...
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. (Cool Stuff in) Data Where Do Data Come From? Data Types in Python Introduction to Libraries and Data Management Course Syllabus Meet the Course Team!...
Business intelligence and data warehousing
by María del Pilar Ángeles- 3.9
Approx. 10 hours to complete
Welcome to the specialization course Business Intelligence and Data Warehousing. This course will be completed on six weeks, it will be supported with videos and various documents that will allow you to learn in a very simple way how to identify, design and develop analytical information systems, such as Business Intelligence with a descriptive analysis on data warehouses....
Machine Learning for Data Analysis
by Jen Rose , Lisa Dierker- 4.2
Approx. 10 hours to complete
This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Make sure to familiarize yourself with course 3 of this specialization before diving into these machine learning concepts. Course Codebooks Course Data Sets Uploading Your Own Data to SAS...
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Wrangling Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 4.8
Approx. 14 hours to complete
Data never arrive in the condition that you need them in order to do effective data analysis. This course addresses the problem of wrangling your data so that you can bring them under control and analyze them effectively. Exploratory Data Analysis Exploratory Data Analysis Wrangling Data in the Tidyverse Course Project Conduct basic exploratory data analysis...
Exploratory Data Analysis
by Roger D. Peng, PhD , Jeff Leek, PhD , Brian Caffo, PhD- 4.7
Approx. 55 hours to complete
This course covers the essential exploratory techniques for summarizing data. We will cover in detail the plotting systems in R as well as some of the basic principles of constructing data graphics. Welcome to Exploratory Data Analysis Exploratory Data Analysis with R Book The Art of Data Science Apply cluster analysis techniques to locate patterns in data...
Data Analysis with Python
by Joseph Santarcangelo- 4.7
Approx. 13 hours to complete
Learn how to analyze data using Python. Data Analysis with Python will be delivered through lecture, lab, and assignments. Data Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset. Understanding the Data Exploratory Data Analysis Exploratory Data Analysis Graded Quiz: Exploratory Data Analysis...