Search result for Variables and data types Online Courses & Certifications
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Analyze Data to Answer Questions
by Google Career CertificatesTop Instructor- 4.6
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Approx. 25 hours to complete
Types of data validation Discuss the importance of organizing your data before analysis with references to sorts and filters Demonstrate an understanding of what is involved in the conversion and formatting of data Apply the use of functions and syntax to create SQL queries for combining data from multiple database tables...
Introduction to Probability and Data with R
by Mine Çetinkaya-Rundel- 4.7
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Approx. 14 hours to complete
You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. Exploratory Data Analysis and Introduction to Inference Exploratory Data Analysis and Introduction to Inference Project...
Introduction to Data Science in Python
by Christopher Brooks- 4.5
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Approx. 31 hours to complete
The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. Describe common Python functionality and features used for data science...
Business Statistics and Analysis Capstone
by Sharad Borle- 4.7
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Approx. 7 hours to complete
The Business Statistics and Analysis Capstone is an opportunity to apply various skills developed across the four courses in the specialization to a real life data. The Capstone, in collaboration with an industry partner uses publicly available ‘Housing Data’ to pose various questions typically a client would pose to a data analyst. Merging and Cleaning Data for the Capstone...
Business Analytics Executive Overview
by Douglas B. Laney- 4.6
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Approx. 17 hours to complete
Businesses run on data, and data offers little value without analytics. The course will also touch on analytic technologies, architectures, and roles from business intelligence to data science, and from data warehouses to data lakes. Lecture 1-5-3 Where to Put the Data and How to Get it There? Lecture 4-3-4 A Data Science and AI Ethical Code of Conduct...
Excel Skills for Business: Essentials
by Nicky Bull , Dr Prashan S. M. Karunaratne , A/Professor Yvonne Breyer- 4.9
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Approx. 26 hours to complete
Within six weeks, you will be able to expertly navigate the Excel user interface, perform basic calculations with formulas and functions, professionally format spreadsheets, and create visualizations of data through charts and graphs. This course uses downloadable Excel workbooks and full data sets with applied examples and practical challenge exercises. Practice Video: Data Entry, Data Types, Editing and Deleting...
The Social and Technical Context of Health Informatics
by Harold P. Lehmann, MD, Ph.D.- 4.2
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Approx. 9 hours to complete
Improving health and healthcare institutions requires understanding of data and creation of interventions at the many levels at which health IT interact and affect the institution. Data scientists find that, when they aim at implementing their models in practice, it is the “socio” components that are both novel to them and mission critical to success....
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Fundamentals of GIS
by Nick Santos- 4.8
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Approx. 31 hours to complete
Week 2: Open up ArcGIS and explore data using ArcMap. Week 3: Make your own maps! Symbolize data and create an eye-catching final product. Week 4: Share your data and maps and learn to store and organize your data. Retrieving and Sharing Data Practice with subset data using selections and feature attributes...
Exploring and Producing Data for Business Decision Making
by Fataneh Taghaboni-Dutta, Ph.D., PMP- 4.8
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Approx. 23 hours to complete
Specifically, you will learn how to summarize data and learn concepts of frequency, normal distribution, statistical studies, sampling, and confidence intervals. • Summarize large data sets in graphical, tabular, and numerical forms Welcome to Exploring and Producing Data for Business Decision Making! Module 1: Introduction and Summarizing Data Discrete and Continuous Random Variables...
Getting Started with Data Visualization in R
by Collin Paschall- 4.8
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Approx. 12 hours to complete
One of the critical tools for data visualization today is the R statistical programming language. Getting Started with Data Management and Visualization with R Dataframes and Importing Data in R Data import and structure in the tidyverse Grouping and summarizing data R for Data Science, Introduction and Part II: Wrangle Manipulating Variables and Creating Summaries Quiz...
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