Become a Data Analytics Specialist

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Free Online Course: Become a Data Analytics Specialist provided by LinkedIn Learning is a comprehensive online course. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. Become a Data Analytics Specialist is taught by John David Ariansen, MBA, Robin Hunt, Sara Anstey, Heather E. Johnson, Eddie Davila, Michael M. and Jungwoo Ryoo.

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.