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The richest data store is only as good as your ability to search, sort, analyze and present the data within it. This introductory-level course gives you a broad overview of the theory and practice of data analytics and the many ways in which artificial intelligence (AI) contributes to it. Get started with a brief history of data analytics before proceeding into discussions of data warehouses, data mining, business intelligence, machine learning and other emerging AI techniques to make sense of big data.
Upon completion of this course, you will know how data is captured, cleansed, analyzed and presented on business intelligence dashboards that captivate and persuade an audience. You will gain a strong foundation in data science know-how, whether you are investigating analytics as a potential career move or wish to better understand the terminology you encounter in your professional circles.
Learning Objectives
In this course, participants will:
Understand the Foundations of Data Analytics and AI
Describe the history and evolution of data analytics and the role of artificial intelligence in this field.
Explain key concepts such as data warehouses, data mining, business intelligence, and machine learning.
Develop Data Analysis Skills
Demonstrate the ability to search, sort, cleanse, and analyze data to derive meaningful insights.
Identify techniques for presenting data effectively on business intelligence dashboards to influence decision-making.
Apply AI Techniques in Data Analytics
Explore the application of emerging AI techniques in enhancing data analytics processes.
Recognize the impact of machine learning and other AI technologies in interpreting big data.
Build a Foundation for a Career in Data Science
Gain a solid understanding of data science terminology and concepts for career development or professional growth.
Assess the potential career paths in data analytics and the skills required to pursue them.
About this item
Members $150 Non-members $220
The richest data store is only as good as your ability to search, sort, analyze and present the data within it. This introductory-level course gives you a broad overview of the theory and practice of data analytics and the many ways in which artificial intelligence (AI) contributes to it. Get started with a brief history of data analytics before proceeding into discussions of data warehouses, data mining, business intelligence, machine learning and other emerging AI techniques to make sense of big data.
Upon completion of this course, you will know how data is captured, cleansed, analyzed and presented on business intelligence dashboards that captivate and persuade an audience. You will gain a strong foundation in data science know-how, whether you are investigating analytics as a potential career move or wish to better understand the terminology you encounter in your professional circles.
Learning Objectives
In this course, participants will:
-
Understand the Foundations of Data Analytics and AI
-
Describe the history and evolution of data analytics and the role of artificial intelligence in this field.
-
Explain key concepts such as data warehouses, data mining, business intelligence, and machine learning.
-
Develop Data Analysis Skills
-
Demonstrate the ability to search, sort, cleanse, and analyze data to derive meaningful insights.
-
Identify techniques for presenting data effectively on business intelligence dashboards to influence decision-making.
-
Apply AI Techniques in Data Analytics
-
Explore the application of emerging AI techniques in enhancing data analytics processes.
-
Recognize the impact of machine learning and other AI technologies in interpreting big data.
-
Build a Foundation for a Career in Data Science
-
Gain a solid understanding of data science terminology and concepts for career development or professional growth.
-
Assess the potential career paths in data analytics and the skills required to pursue them.
Course/Activity Information
Members $150 Non-members $220
Estimated completion time: 3 hours
Course access length: 6 months upon enrollment
Awards 3 CFE education credits upon completion