Overview

Get a thorough grounding in the concepts and skills needed for data analytics, including statistics, financial forecasting, data mining, predictive analytics, and meta-analysis.

Explore the expanding applications for data analytics skills.
Master statistics, the core skill needed in analytics work.
Build skills in financial forecasting and data mining.

Syllabus

Courses under this program:
Course 1: Data Analytics for Students (2020)
-Analytics is such a broad topic that it's hard to know where to get started. In this course designed for students, explore how to use data analytics to make informed decisions.

Course 2: Learning Data Analytics: 1 Foundations
-This course covers foundational data analysis skills such as thinking like an analyst, gathering useful data, SQL queries, data cleaning, and more. Are you ready to be an analyst?

Course 3: Learning Data Analytics Part 2: Extending and Applying Core Knowledge
-Learn how to provide quality data sets and accurate visualizations and explore practical skills to get the most from your data.

Course 4: Data Analytics: Dashboards vs. Data Stories
-Learn the basic applications of two common data science and analytics tools: dashboards and data stories.

Course 5: Data Analytics: Graph Analytics
-Learn the fundamentals of graph analytics—an up-and-coming approach to tackling data science projects—in this concise course.

Course 6: Statistics Foundations: The Basics
-Learn to understand your data using basics of statistics, such as defining the middle, mean, and median of your data set; measuring the standard deviation; and finding outliers.

Course 7: Statistics Foundations: Probability
-Learn to understand your data in beginner-friendly lessons, using probability. Topics include permutations, percentiles, how to use probability trees, and much more.

Course 8: Excel: Economic Analysis and Data Analytics
-Use big data to forecast economic trends. Find out how to perform regression analysis for economic forecasting using Microsoft Excel.

Course 9: Certified Analytics Professional (CAP) Cert Prep: Domains 1–4
-Learn what it takes to become a Certified Analytics Professional (CAP). Explore the core data science topics covered in the first four domains of the CAP exam.

Course 10: Certified Analytics Professional (CAP) Cert Prep: Domains 5–7
-Need a study guide for the Certified Analytics Professional (CAP) exam? This course helps prepare test takers for the topics covered in exam domains 5–7.

Courses

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2 hours 17 minutes
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Find out how to use big data to perform regression analysis for economic forecasting in Microsoft Excel.
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1-2 hours
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Need a study guide for the Certified Analytics Professional (CAP) exam? This course helps prepare test takers for the topics covered in exam domains 5–7.
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1-2 hours
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Learn what it takes to become a Certified Analytics Professional (CAP). Explore the core data science topics covered in the first four domains of the CAP exam.
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3-4 hours
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This course covers foundational data analysis skills such as thinking like an analyst, gathering useful data, SQL queries, data cleaning, and more. Are you ready to be an analyst?
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3 hours 23 minutes
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Learn how to provide quality data sets and accurate visualizations and explore practical skills to get the most from your data.
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1 hour 10 minutes
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Learn to understand your data in beginner-friendly lessons, using probability. Topics include permutations, percentiles, how to use probability trees, and much more.
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View details

Learn to understand your data using basics of statistics, such as defining the middle, mean, and median of your data set; measuring the standard deviation; and finding outliers.