This short course is designed to ease your understanding of Hadoop and Java and is a way into developing with Hadoop. A series of hands-on tutorials will help you to use the Java language in conjunction with Hortonworks sandbox. This course is based on a series of tutorials by Apache.
Step 1: Explore the Core Concepts of Apache Hadoop
Step 2: Write a MapReduce program
Step 3: Hive and Pig: Motivation
Basic understanding of Java programming
Altino is hardware loaded with sensors in a shape of a car. Coding with Altino is a fun way to learn and teach core programming languages such as C, C++, Java, and specialized visual coding tools such as Android and Scratch. With Altino you focus on coding, where with Robotics you focus on design.
In this course, you will learn the basics of how to bring an Altino car to life by sending a set of instructions to solve situational challenges. At the end of this course you will be able to program an autonomous driving car, and since the focus is on developing software you can explore the use of this coding machine to create projects that solve other problems. You will use Arduino and/or Raspberry Pi microcontrollers to enhance your experience.
Middle and high school students (and adults) will enjoy learning to code with the Altino hardware.
This course will teach you about the design, development, and handling of health information data. Learn how information is stored, retained, and retrieved in accordance with ethical, legal, and voluntary rules, regulations, and standards, numbering and filing systems, documentation and form requirements, screen designs and content, use and structure of health data sets, and how these components relate to primary and secondary record systems.
Upon successful completion of this course participants will be able to:
• Analyze health record data sets in order to construct reports, graphs, and data maps according to industry standards
• Classify healthcare information requirements and determine if an organization is meeting industry standards.
• Analyze health information situations to determine the most probable healthcare delivery system to locate needed information.
• Apply knowledge of healthcare privacy, confidentiality, and ethical issues in accordance with laws and industry standards.
• Apply data security, data storage, and retrieval skills to organize and locate health information needed for continuity of care, billing, and legal requirements.
This course is part of the Certified Coding Series where courses may be taken individually for professional development.
Completion of Computers in Healthcare
Introduction to Data Analysis sets a foundation for those interested in pursuing more advanced topics in data analysis. Becoming a data analyst requires proficiency in several areas:
• Data wrangling
• Statistical methods
• Machine learning
• Data visualization
There is truly a vast amount of open data available to anyone who knows where to find it, but data is often found in a form that does not lend itself to analysis.
Data wrangling is the use of tools and techniques to transform unstructured data into structured data from which descriptive, predictive, and prescriptive analytics can be derived. Business leaders depend on high-quality, real-time analytics to make informed business decisions. This "business intelligence" enables a company to differentiate itself from its competition, but high-quality, real-time analytics is the end game. One has to walk before they can run. Data analysts often point out that roughly 70% of their work involves data wrangling.
This course sets you on a successful path in data analysis by building a solid foundation. A course will follow that introduces learners to machine learning via Microsoft Azure Machine Learning Studio.
Algebra and basic statistics. No programming experience is required - the necessary R programming will be learned in the context of working with data sets.
StoryMaps is an Esri product which lets you “combine authoritative maps with narrative text, images, and multimedia content. They make it easy to harness the power of maps and geography to tell your story.” In this introduction, you will:
• Sample story maps
• Learn to use online data resources
• Create a simple web map
• Customize your web map
• Create a Basic story map using your web map
In Part 2, you will continue to add skills to your ability to use StoryMaps in hands-on labs. You will:
• Publish your own data online
• ArcGIS Desktop
• Update your online data
• Learn about additional story map templates
• Map Tour
• Map Journal
• Swipe and Spyglass
Completion of Introduction to StoryMaps (Using ArcGIS)
Part 3 will have you flying with more cool tools in StoryMaps. You will:
• Learn about additional StoryMap templates
• Map Series
• Use Web App Builder
Completion of StoryMaps (Using ArcGIS) Part 2