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Essential Epidemiologic Tools for Public Health Practice
by Aruna Chandran, MD, MPH- 4.7
Approx. 4 hours to complete
This course provides you with some essential skills and tools that will enhance your ability to describe and understand the health of your community. The tools that epidemiologists use are in fact useful for all public health practitioners, including data scientists, program officials, agency leaders, and policymakers. Course Projects Data Visualization Definition and Basic Description...
Preparing for the SAS Programming Certification Exam
by Stacey Syphus- 4.7
Approx. 16 hours to complete
In this course you have the opportunity to use the skills you acquired in the two SAS programming courses to solve realistic problems. This course is also designed to give you a thorough review of SAS programming concepts so you are prepared to take the SAS Certified Specialist: Base Programming Using SAS 9. Course Overview and Data Setup...
Web Development with Java Spring Framework
by Martyshkin Alexey Ivanovich , Sinev Mikhail Petrovich- 3.7
Approx. 19 hours to complete
Our course is for anyone interested in Web Development and java. Students wishing to study in this course should have the basic knowledge of Java programming, XML, JSON, Web Development and SQL queries. Course Introduction About the course team JSON Data Binding with Jackson Understand the Dependency Injection, Inversion of control and how to access data using Hibernate....
Fundamentals of Cash Flow Forecasting
by Illumeo Learning- 3.6
1 hour on-demand video
This course explores flow forecasting at its most basic level. In this course we explore cash flow forecasting at its most basic level. We begin with a description of a common structure for cash flow forecasting and then fill in the pieces – information, sources, etc....
$12.99
Data Analysis with R Programming
by Google Career CertificatesTop Instructor- 4.8
Approx. 37 hours to complete
This course is the seventh course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. Programming and data analytics Hands-On Activity: Visualizing data with ggplot2 Test your knowledge on data visualizations in R Structure of markdown documents Course challenge...
Artificial Intelligence Algorithms Models and Limitations
by Brent Summers- 4.7
Approx. 8 hours to complete
Course Introduction Sorting: functions and data Mirrors: training models with real data...
Big Data - Capstone Project
by Ilkay Altintas , Amarnath Gupta- 4.4
Approx. 21 hours to complete
Welcome to the Capstone Project for Big Data! In this culminating project, you will build a big data ecosystem using tools and methods form the earlier courses in this specialization. You will analyze a data set simulating big data generated from a large number of users who are playing our imaginary game "Catch the Pink Flamingo"....
Practical SAS Programming and Certification Review
by Stacey Syphus , Peter Styliadis- 4.9
Approx. 21 hours to complete
In this course you have the opportunity to use the skills you acquired in the two SAS programming courses to solve realistic problems. This course is also designed to give you a thorough review of SAS programming concepts so you are prepared to take the SAS Certified Specialist: Base Programming Using SAS 9. Course Overview and Data Setup...
Distributed Computing with Spark SQL
by Brooke Wenig , Conor Murphy- 4.5
Approx. 14 hours to complete
This course is all about big data. The four modules build on one another and by the end of the course you will understand: the Spark architecture, queries within Spark, common ways to optimize Spark SQL, and how to build reliable data pipelines. The final module covers data lakes, data warehouses, and lakehouses....
Big Data Science with the BD2K-LINCS Data Coordination and Integration Center
by Avi Ma’ayan, PhD- 4.8
Approx. 9 hours to complete
In this course we briefly introduce the DCIC and the various Centers that collect data for LINCS. Most importantly, the course covers computational methods including: data clustering, gene-set enrichment analysis, interactive data visualization, and supervised learning. LINCS Data and Signature Generation Centers BD2K-LINCS Data Coordination and Integration Center Introduction to LINCS L1000 Data...