Advance Your Skills in Predictive Analytics
Offered By: LinkedIn Learning
Course Description
Overview
Predictive analytics is one of the richest disciplines within the realm of data science. As the tools and techniques for using data to predict future outcomes have evolved, business and data analysis professionals can use this learning path to stay up to date with the latest advancements.
- Explore how machine learning is changing predictive analytics.
- Apply predictive analytics techniques for financial forecasting.
- Master the predictive analytics functions of AWS and Google Cloud Platform.
Syllabus
Courses under this program:
Course 1: Machine Learning and AI Foundations: Predictive Modeling Strategy at Scale
-Scalability is one of the biggest challenges in data science. Learn how to evaluate data, choose the right algorithms, and perform predictive modeling at scale.
Course 2: Data Science on Google Cloud Platform: Exploratory Data Analytics
-Learn how to conduct exploratory data analytics on Google Cloud Platform.
Course 3: The Essential Elements of Predictive Analytics and Data Mining
-Learn the basics of data mining and predictive analytics. Explore a real-world project, from defining the problem to putting the solution into practice; review CRISP-DM; and more.
Course 4: Data Science on Google Cloud Platform: Predictive Analytics
-Learn how to use Google Cloud Platform to train and deploy machine learning models for predictive analytics.
Course 5: Data Analytics for Pricing Analysts in Excel
-Learn how to use pricing analysis to maximize firm profits with scenario analysis, price optimization, and data analytics in Excel.
Course 6: Financial Forecasting with Big Data
-Quickly create financial forecasts using big data, predictive analytics, and Microsoft Excel.
Course 7: Business Analytics Foundations: Predictive, Prescriptive, and Experimental Analytics
-Learn about the stages in business analytics used to predict future events and improve decision-making: predictive analytics, prescriptive analytics, and experimental analytics.
Course 8: Business Analytics Foundations: Descriptive, Exploratory, and Explanatory Analytics
-Learn about the three types of data analytics used to analyze past business performance: descriptive, exploratory, and explanatory analytics.
Course 9: Amazon Web Services: Data Analytics
-Learn about best practices, patterns, and tools for designing and implementing data analytics using AWS.
Course 1: Machine Learning and AI Foundations: Predictive Modeling Strategy at Scale
-Scalability is one of the biggest challenges in data science. Learn how to evaluate data, choose the right algorithms, and perform predictive modeling at scale.
Course 2: Data Science on Google Cloud Platform: Exploratory Data Analytics
-Learn how to conduct exploratory data analytics on Google Cloud Platform.
Course 3: The Essential Elements of Predictive Analytics and Data Mining
-Learn the basics of data mining and predictive analytics. Explore a real-world project, from defining the problem to putting the solution into practice; review CRISP-DM; and more.
Course 4: Data Science on Google Cloud Platform: Predictive Analytics
-Learn how to use Google Cloud Platform to train and deploy machine learning models for predictive analytics.
Course 5: Data Analytics for Pricing Analysts in Excel
-Learn how to use pricing analysis to maximize firm profits with scenario analysis, price optimization, and data analytics in Excel.
Course 6: Financial Forecasting with Big Data
-Quickly create financial forecasts using big data, predictive analytics, and Microsoft Excel.
Course 7: Business Analytics Foundations: Predictive, Prescriptive, and Experimental Analytics
-Learn about the stages in business analytics used to predict future events and improve decision-making: predictive analytics, prescriptive analytics, and experimental analytics.
Course 8: Business Analytics Foundations: Descriptive, Exploratory, and Explanatory Analytics
-Learn about the three types of data analytics used to analyze past business performance: descriptive, exploratory, and explanatory analytics.
Course 9: Amazon Web Services: Data Analytics
-Learn about best practices, patterns, and tools for designing and implementing data analytics using AWS.
Courses
-
Learn how to use pricing analysis to maximize firm profits with scenario analysis, price optimization, and data analytics in Excel.
-
Learn how to conduct exploratory data analytics on Google Cloud Platform.
-
Learn about best practices, patterns, and tools for designing and implementing data analytics using AWS.
-
Learn about the stages in business analytics used to predict future events and improve decision-making: predictive analytics, prescriptive analytics, and experimental analytics.
-
Learn how to use Google Cloud Platform to train and deploy machine learning models for predictive analytics.
-
Quickly create financial forecasts using big data, predictive analytics, and Microsoft Excel.
-
Scalability is one of the biggest challenges in data science. Learn how to evaluate data, choose the right algorithms, and perform predictive modeling at scale.
-
Get useful, real-world insights into using predictive analysis and data mining to solve problems.
-
Learn about the three types of data analytics used to analyze past business performance: descriptive, exploratory, and explanatory analytics.
Taught by
Keith McCormick, Kumaran Ponnambalam, Michael M. and Lynn Langit
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