Search result for Examples of data manipulation Online Courses & Certifications
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SQL for Data Science Capstone Project
by Don Noxon- 3.9
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Approx. 35 hours to complete
This community of fellow learners will provide additional input to help you refine your approach to data analysis with SQL and present your findings to clients and management. Import of Elon Musk Data Data Models, Part 2: The Evolution of Data Models Introduction of Data of Unknown Quality Importance of Understanding Your Data Tell the Story of Your Data...
Microcontroller Embedded C Programming: absolute beginners
by FastBit Embedded Brain Academy- 4.7
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16.5 hours on-demand video
==> This should be your very first course to dive into the exciting world of "Embedded Systems. Usage of bit manipulation techniques to program MCU peripheral registers Usage of const and volatile type qualifiers Interpret complex variable definitions involving the combination of const and volatile Bit manipulation techniques using bit-wise operators and examples...
$15.99
Healthcare Data Security, Privacy, and Compliance
by Paul Nagy, PhD, FSIIM- 4.7
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Approx. 6 hours to complete
In the final course of the Healthcare IT Support program, we will focus on the types of healthcare data that you need to be aware, complexities of security and privacy within healthcare, and issues related to compliance and reporting. Healthcare Data Common Data Types in Healthcare, Part I Common Data Types in Healthcare, Part II...
Data Analysis Tools
by Jen Rose , Lisa Dierker- 4.5
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Approx. 10 hours to complete
You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific data and question. Using your choice of two powerful statistical software packages (SAS or Python), you will explore ANOVA, Chi-Square, and Pearson correlation analysis. Course Data Sets Uploading Your Own Data to SAS...
IBM Data Privacy for Information Architecture
by Christopher Giardina , Aaron Ritchie- 4.7
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Approx. 10 hours to complete
In this course, students will gain an understanding of what data privacy is along with how to identify and understand typical data protection and privatization objectives that an enterprise may have, and how to choose a data protection approach. IBM DataFirst Data Privacy introduction Data Privacy policies and procedures examples privatization of personal data...
Statistics for International Business
by George Kapetanios- 3.7
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Approx. 10 hours to complete
This course introduces core areas of statistics that will be useful in business and for several MBA modules. It covers a variety of ways to present data, probability, and statistical estimation. Using Graphs to Describe Data 1 Measures of Variability: Examples Formulation of the Null Hypothesis and the Alternative Hypothesis Types of Errors...
Surveillance Systems: The Building Blocks
by Emily Gurley, PhD, MPH- 4.8
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Approx. 6 hours to complete
Epidemiology is often described as the cornerstone science and public health and public health surveillance is a cornerstone of epidemiology. This course will help you build your technical awareness and skills for working with a variety of surveillance systems. Examples of Surveillance Objectives Data Reporting as Part of the Surveillance Cycle...
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Data Warehouse Concepts, Design, and Data Integration
by Michael Mannino- 4.4
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Approx. 22 hours to complete
* Reflect on the role of change data, refresh constraints, refresh frequency trade-offs, and data quality goals in data integration process design; and Data Warehouse Examples video lecture Multidimensional Data Representation and Manipulation Concepts of data integration processes video lecture Architectures, Features, and Details of Data Integration Tools Common features of data Integration tools video lecture...
Mathematics for Machine Learning: PCA
by Marc Peter Deisenroth- 4
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Approx. 18 hours to complete
We'll cover some basic statistics of data sets, such as mean values and variances, we'll compute distances and angles between vectors using inner products and derive orthogonal projections of data onto lower-dimensional subspaces. However, this type of abstract thinking, algebraic manipulation and programming is necessary if you want to understand and develop machine learning algorithms....
Customer Analytics
by Eric Bradlow , Peter Fader , Raghu Iyengar , Ron Berman- 4.6
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Approx. 12 hours to complete
Data about our browsing and buying patterns are everywhere. From credit card transactions and online shopping carts, to customer loyalty programs and user-generated ratings/reviews, there is a staggering amount of data that can be used to describe our past buying behaviors, predict future ones, and prescribe new ways to influence future purchasing decisions. Additional Reading: the Power of Data...
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