Search result for Data bias Online Courses & Certifications
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Introduction to Statistics
by Guenther Walther- 4.5
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Approx. 15 hours to complete
Stanford's "Introduction to Statistics" teaches you statistical thinking concepts that are essential for learning from data and communicating insights. By the end of the course, you will be able to perform exploratory data analysis, understand key principles of sampling, and select appropriate tests of significance for multiple contexts. Analysis of Categorical Data...
Electrical, Optical & Magnetic Materials and Devices
by Caroline Ross , Jessica Sandland- 0.0
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16 Weeks
Applications presented include diodes, transistors, photodetectors, solar cells (photovoltaics), displays, light emitting diodes, lasers, optical fibers and optical communications, photonic devices, magnetic data storage, motors, transformers and spintronics. The behavior of p-n junctions at equilibrium and under bias How data is stored on hard disks...
$150
Research Report: Delivering Insights
by Robin Boyar , Ashwin Aravindakshan, PhD- 4.5
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Approx. 14 hours to complete
You have analyzed all the data and are able to formulate insights and recommendations based on your research proposal. You will incorporate data visualization best practices and use tips and tricks when presenting to your various levels of decision makers and stakeholders. False Narratives and Data Storytelling Data Visualization, Part 1...
Statistical Thinking for Industrial Problem Solving, presented by JMP
by Mia Stephens , Ledi Trutna- 4.8
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Approx. 44 hours to complete
By completing this course, students will understand the importance of statistical thinking, and will be able to use data and basic statistical methods to solve many real-world problems. Describing Categorical Data Creating Tabular Summaries for Categorical Data Introduction to Exploratory Data Analysis Packed Bar Charts and Data Filtering Demo: Using the Local Data Filter...
Easy Statistics: Linear and Non-Linear Regression
by F. Buscha- 4.7
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5.5 hours on-demand video
Bias versus efficiency There are many pitfalls to avoid and tricks to learn when modelling data in a regression setting. Dealing with Missing Data - How to See the Unseen...
$12.99
Practical Predictive Analytics: Models and Methods
by Bill Howe- 4.1
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Approx. 7 hours to complete
Statistical experiment design and analytics are at the heart of data science. Bad Science Revisited: Publication Bias Big Data and Spurious Correlations How is Big Data Different?...
Financial Engineering and Risk Management Part II
by Martin Haugh , Garud Iyengar- 4.7
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Approx. 17 hours to complete
Survivorship Bias and Data Snooping...
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Regression Machine Learning with Python
by Diego Fernandez- 3.5
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6 hours on-demand video
Learn regression machine learning through a practical course with Python programming language using S&P 500® Index ETF prices historical data for algorithm learning. Learning regression machine learning is indispensable for data mining applications in areas such as consumer analytics, finance, banking, health care, science, e-commerce and social media....
$12.99
Supervised Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.8
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Approx. 11 hours to complete
This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Regression techniques in a business setting. 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
This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Regression techniques in a business setting. 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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