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LinkedIn Learning

Become a Data Analytics Specialist

via LinkedIn Learning

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

  • Course 1: Data Analytics for Students
    • 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.

Taught by

John David Ariansen, MBA, Robin Hunt, Robin Hunt, Sara Anstey, Heather E. Johnson, Eddie Davila, Eddie Davila, Michael M., Jungwoo Ryoo and Jungwoo Ryoo

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