Search result for Data analysis and interpretation specialization Online Courses & Certifications
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Data Management and Visualization
by Lisa Dierker- 4.4
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Approx. 12 hours to complete
By the end of the course, you will be able to use powerful data analysis tools – either SAS or Python – to manage and visualize your data, including how to deal with missing data, variable groups, and graphs. SAS Lesson 1 - Defining exploratory data analysis Python Lesson 1 - Defining Exploratory Data Analysis...
Machine Learning for Data Analysis
by Jen Rose , Lisa Dierker- 4.2
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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. Strengths and Weaknesses of Decision Trees in SAS Some Guidance for Learners New to the Specialization Course Data Sets Uploading Your Own Data to SAS Data Set for Decision Tree Videos (tree_addhealth....
Global Marketing Research and Analytics
by Dr. Hector Gonzalez-Jimenez- 4.1
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4 hours on-demand video
Understand and conduct market research on a global scale This course examines the vital role of information and research in global marketing decisions. The key aim of the module is to enable students to understand the value of information, research, and analytics, the processes involved and techniques which can facilitate the collection, analysis and interpretation of marketing data and information....
$12.99
Qualitative Research Methods
by Gerben Moerman- 4.6
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Approx. 24 hours to complete
You will learn about data collection, description, analysis and interpretation in qualitative research. We will focus on the ingredients required for this process: data collection and analysis. 9 Observation and Interpretation Focus and the assignment 5 Probing and prompting Qualitative Analysis 1 Qualitative Analysis 2 Code and Retrieve 3 Framework Analysis Qualitative Analysis...
Six Sigma Tools for Analyze
by Christina Scherrer, PhD , David Cook, PhD , Gregory Wiles, PhD , Bill Bailey, PhD- 4.7
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Approx. 8 hours to complete
You will learn about lean tools for process analysis, failure mode and effects analysis (FMEA), measurement system analysis (MSA) and gauge repeatability and reproducibility (GR&R), and you will be introduced to basic statistics. This course will outline useful measure and analysis phase tools and will give you an overview of statistics as they are related to the Six Sigma process....
Introduction to the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 0.0
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Approx. 8 hours to complete
We will cover the simple idea of "tidy data" and how this idea serves to organize data for analysis and modeling. We will also cover how non-tidy can be transformed to tidy data, the data science project life cycle, and the ecosystem of Tidyverse R packages that can be used to execute a data science project....
Business Metrics for Data-Driven Companies
by Daniel Egger , Jana Schaich Borg- 4.6
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Approx. 8 hours to complete
In this course, you will learn best practices for how to use data analytics to make any company more competitive and more profitable. You’ll get a clear picture of the vital but different roles business analysts, business data analysts, and data scientists each play in various types of companies. Roles and Companies as They Relate to Big Data...
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Capstone: Retrieving, Processing, and Visualizing Data with Python
by Charles Russell Severance- 4.7
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Approx. 9 hours to complete
In the capstone, students will build a series of applications to retrieve, process and visualize data using Python. In the first part of the capstone, students will do some visualizations to become familiar with the technologies in use and then will pursue their own project to visualize some other data that they have or can find....
Demystifying Biomedical Big Data: A User’s Guide
by Bassem R. Haddad , Sheila Cohen Zimmet , Robert Clarke , Yuriy Gusev- 0.0
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8 Weeks
This course was designed to facilitate the understanding, analysis, and interpretation of biomedical big data to those in the biomedical field with limited or no significant experience in bioinformatics. Explore and analyze genomic, transcriptomic, and proteomic data using various online analysis tools Make sense of big data using systems biology resources and tools...
$49
Surveillance Systems: Analysis, Dissemination, and Special Systems
by Stefan Baral, MD, MPH, MBA, FRCPC- 4.7
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Approx. 6 hours to complete
We'll learn how to get the most out of surveillance data analysis, focusing specifically on interpreting time trend data to detect temporal aberrations as well as person, place, and time in the context of surveillance data. Assessing Trends with Temporal and Geographic Data Summary of Analysis and Interpretation of Surveillance Data...
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