Search result for Examples of data manipulation Online Courses & Certifications
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Introduction to GIS Mapping
by Don BoyesTop Instructor- 4.9
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Approx. 14 hours to complete
In the course project, you will create your own GIS data by tracing geographic features from a satellite image for a location and theme of your choice. A quick tour of the software Examples of geospatial data PDF files of all lecture slides A quick tour of ArcGIS Online Spatial resolution of raster data in ArcMap...
Feature Engineering
by Google Cloud Training- 4.5
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Approx. 18 hours to complete
Want to know how you can improve the accuracy of your ML models? What about how to find which data columns make the most useful features? Features Should Have Enough Examples Raw Data to Features and Good vs Bad Features Data Pipelines that Scale Lab Intro: Computing Time-Windowed Features in Cloud Data...
Computational Social Science Methods
by Martin Hilbert- 4.7
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Approx. 11 hours to complete
What are examples of CSS? In this last part, we take a bird’s-eye view on four main applications of CSS. Example of Computational Social Science: Data Science Introduction to Examples of CSS (Part 1) Overview of Big Data Examples of CSS: Machine Learning & AI Introduction to Examples of CSS (Part 2) Examples of CSS: Social Networks and Computer Simulations...
Introduction to Apache Spark for Developers and Engineers
by Adastra Academy- 3.9
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2 hours on-demand video
Upon completion of the course, students will be able to explain core concepts relating to Spark, understand the fundamentals of coding in Scala, and execute basic programming and data manipulation in Spark. Adastra Academy is a leading source of training and development for Information Management professionals and individuals interested in Data Management and Analytics technology....
$12.99
Managing Machine Learning Projects with Google Cloud
by Google Cloud Training- 4.6
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Approx. 14 hours to complete
Practice assessing the feasibility of ML use cases Standard algorithm and data Data quality More ML examples Common types of human bias Automate processes and understand unstructured data Creative uses of ML Data strategy (pillars 1–3) Data strategy (pillars 4–7) Define data characteristics and biases that affect the quality of ML models....
Introduction to MicroStrategy Report Development I
by Adastra Academy- 3.8
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9.5 hours on-demand video
Describe the core MicroStrategy concepts and MicroStrategy Project Lifecycle phasesDefine components and different types of MicroStrategy ArchitectureCreate Scheme Objects, Public Objects and MicroStrategy reportsUnderstand the Report Execution Lifecycle, apply data manipulation techniques, and analyze different report views of the MicroStrategy reports. However, some knowledge of the Business Intelligence and Information Management concepts will be helpful....
$11.99
Octave for Data Scientists
by SimpliCode Point- 3.4
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6.5 hours on-demand video
To understand the basics of Octave Neural Network such as running octave and getting started with basic commands, statem There are many trainings and a lot of examples of what the neural network is and what it does. There are many trainings and a lot of examples of what the neural network is and what it does....
$9.99
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Current-Mode Control
by Dr. Dragan Maksimovic- 0.0
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Approx. 14 hours to complete
This course can also be taken for academic credit as ECEA 5708, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is Course #4 in the Modeling and Control of Power Electronics course sequence. ● Understand the operating principles and benefits of current-mode control for dc-dc converters Stabilization with Addition of an Artificial Ramp...
Supervised Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.8
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Approx. 11 hours to complete
Use a variety of error metrics to compare and select a linear regression model that best suits your data To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....
Supervised Machine Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.7
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Approx. 11 hours to complete
Use a variety of error metrics to compare and select a linear regression model that best suits your data To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....
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