Search result for Applied data science Online Courses & Certifications
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Computational Social Science Methods
by Martin Hilbert- 4.7
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Approx. 11 hours to complete
In short, all of them do social science by computational means. Why Computational Social Science (CSS) now? Computational Social Science (CSS) A Very Short History of Science A Very Simplistic Hierarchy of Science Social Science Challenges Example of Computational Social Science: Data Science Overview of Big Data Fighting Poverty with Data...
Data Science for Business | 6 Real-world Case Studies
by Dr. Ryan Ahmed, Ph.D., MBA- 4.7
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11.5 hours on-demand video
Or are you an aspiring entrepreneur who wants to maximize business revenue with Data Science and Artificial Intelligence? In business, Data Science is applied to optimize business processes, maximize revenue and reduce cost. In this course, we will assume that you are an experienced data scientist who have been recently as a data science consultant to several clients....
$9.99
Advanced Linear Models for Data Science 1: Least Squares
by Brian Caffo, PhD- 4.4
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Approx. 8 hours to complete
Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. This will greatly augment applied data scientists' general understanding of regression models....
Advanced Linear Models for Data Science 2: Statistical Linear Models
by Brian Caffo, PhD- 4.6
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Approx. 6 hours to complete
Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This will greatly augment applied data scientists' general understanding of regression models....
Applied Statistics with Python
by Ben Tasker , David Sze- 0.0
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16 Weeks
Analyze data using statistical methods and technology. This course helps prepare you for positions that require the analysis of large data sets, providing the statistics foundation you’ll need for data analysis. This course specifically explores inferential statistics - the science of applying statistical techniques to quantify and answer real-world data analysis questions....
$498
Complete & Practical SAS, Statistics & Data Analysis Course
by Shenggang Li- 4.4
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16.5 hours on-demand video
A complete guide and use cases study for job seekers and beginners -- start career in SAS, Statistics and Data science • Whether you are a job seeker or beginner intending to start a data science career Apply powerful data manipulation -- SQL, subsetting, slicing, filtering, transformation, ranking, sorting. Understand data management and data piping...
$14.99
AI Workflow: Business Priorities and Data Ingestion
by Mark J Grover , Ray Lopez, Ph.D.- 4.3
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Approx. 8 hours to complete
Know the advantages of carrying out data science using a structured process Explain where data science and data engineering have the most overlap in the AI workflow This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises....
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Python and Machine-Learning for Asset Management with Alternative Data Sets
by Gideon OZIK , Sean McOwen- 4.4
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Approx. 19 hours to complete
This course will enable you to learn new data and research techniques applied to the financial markets while strengthening data science and python skills. Lab session: Mapping Data with Folium Lab session: Applied Text Data Processing Gain an understanding and hands-on experience in data analytics, visualization and quantitative modeling applied to alternative data in finance...
(NEW) Python Programming Course: The Complete Bootcamp
by Python Camp- 4.3
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5.5 hours on-demand video
Learn and understand the fundamentals of Python and how to apply it to data science, programming, and web development. Python Programming language - an extremely flexible and powerful programming language that can be applied to many disciplines. You'll learn how to write programs, build websites, and work with data by harnessing Python's renowned data science libraries....
$9.99
Causal Inference 2
by Michael E. Sobel- 0.0
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Approx. 6 hours to complete
This course provides an introduction to the statistical literature on causal inference that has emerged in the last 35-40 years and that has revolutionized the way in which statisticians and applied researchers in many disciplines use data to make inferences about causal relationships....
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