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Tables, Data & Networking in iOS
by Mark Price- 4.6
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Approx. 16 hours to complete
In this course you will learn how to work with data in iOS. Data is the key ingredient for any functional app and one must learn how to properly display it to the user. Table data source Creating data models Showing data in cells Tables and Data Project Exploring Data Tables & Data Review...
Innovating with Data and Google Cloud
by Google Cloud Training- 4.9
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Approx. 2 hours to complete
In this course, you'll learn what data is, historical ways companies have used it to make decisions, and why it is so critical for machine learning. The role of data in digital transformation Leveraging data in your organization Understanding data types Important data considerations 01: The Value of Data Module 2: Data Consolidation and Analytics...
Importing Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 4.6
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Approx. 15 hours to complete
Getting data into your statistical analysis system can be one of the most challenging parts of any data science project. Data must be imported and harmonized into a coherent format before any insights can be obtained. You will learn how to get data into R from commonly used formats and harmonizing different kinds of datasets from different sources....
Apache Spark (TM) SQL for Data Analysts
by Kate Sullivan- 4.6
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Approx. 14 hours to complete
Apache Spark is one of the most widely used technologies in big data analytics. You will also learn how to work with Delta Lake, a highly performant, open-source storage layer that brings reliability to data lakes. Common struggles with big data Big Data Needs Data Visualization on Databricks reading introduction Data visualization tools...
Data Processing and Feature Engineering with MATLAB
by Adam Filion , Michael Reardon , Maria Gavilan-Alfonso , Brandon Armstrong , Heather Gorr , Erin Byrne , Brian Buechel , Isaac Bruss , Matt Rich , Nikola Trica , Cris LaPierre- 4.7
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Approx. 18 hours to complete
In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB to lay the foundation required for predictive modeling. This intermediate-level course is useful to anyone who needs to combine data from multiple sources or times and has an interest in modeling. Overview of Data Processing and Feature Engineering...
Using Data for Geographic Mapping and Forecasting in SAS Visual Analytics
by Nicole Ball- 4.8
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Approx. 5 hours to complete
In this course, you learn about the data structure needed for geographic mapping and forecasting, how to use SAS Data Studio to restructure data for analysis, and how to create geo maps and forecasts in SAS Visual Analytics. Restructuring Data for Geographic Mapping Introduction to Restructuring Data for Geographic Mapping SAS Data Studio...
Introduction to Clinical Data Science
by Laura K. Wiley, PhD- 4.6
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Approx. 8 hours to complete
This course will prepare you to complete all parts of the Clinical Data Science Specialization. In this course you will learn how clinical data are generated, the format of these data, and the ethical and legal restrictions on these data. Accessing Course Data and Technology Platform Introduction: Clinical Data Introduction to Clinical Data...
Data Visualization in Tableau
by Mat Leonard- 0.0
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Approx. 3 weeks
Data visualization skills are tremendously important in today’s data driven economy. Collecting and analysing data is just one step; to communicate your results to clients or your managers, you need to present the data in a coherent and intuitive way. Learn to use data with integrity. Learn to use calculations to create new data columns....
Free
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
This course introduces a powerful set of data science tools known as the Tidyverse. The Tidyverse has revolutionized the way in which data scientists do almost every aspect of their job. Data Terminology Principles of Tidy Data Tidy Data Are Rectangular Tidy Data Benefits Rules for Storing Tidy Data Principles of tidy data quiz...
Foundations for Big Data Analysis with SQL
by Glynn Durham- 4.8
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Approx. 12 hours to complete
Then you'll learn the characteristics of big data and SQL tools for working on big data platforms. Data and Databases Data Extraction from Digital Images Data and Databases Data Types Big Data Welcome to Week 3 and the Three Vs of Big Data Structured Data Unstructured Data Semi-Structured Data SQL and Structured Data...
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