Explore a Career in Data Analysis
Offered By: LinkedIn Learning
Course Description
Overview
After completing this learning path, you'll have a solid understanding of the skills needed for careers in analytics and data analysis. You'll survey the many types of job roles along with the concepts and software skills employers are looking for in a prospective hire.
- Focus on which analytics career options are best for you.
- Learn the basics of statistics: the language of analytics.
- Master basic concepts in data visualization and storytelling.
Syllabus
Courses under this program:
Course 1: Introduction to Career Skills in Data Analytics
-Dive into data analytics to get a new job, boost your career and take on the Microsoft GSI Data Analytics certification exam.
Course 2: Data Science Foundations: Fundamentals
-Get an accessible, nontechnical overview of data science, covering the vocabulary, skills, jobs, tools, and techniques of the field.
Course 3: Statistics Foundations 1: 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 4: Statistics Foundations 2: 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 5: 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 6: Data Visualization for Data Analysis and Analytics (2020)
-Start thinking more clearly and strategically about data visualization. Learn how to leverage best practices in visualization and design to communicate data to any audience.
Course 1: Introduction to Career Skills in Data Analytics
-Dive into data analytics to get a new job, boost your career and take on the Microsoft GSI Data Analytics certification exam.
Course 2: Data Science Foundations: Fundamentals
-Get an accessible, nontechnical overview of data science, covering the vocabulary, skills, jobs, tools, and techniques of the field.
Course 3: Statistics Foundations 1: 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 4: Statistics Foundations 2: 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 5: 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 6: Data Visualization for Data Analysis and Analytics (2020)
-Start thinking more clearly and strategically about data visualization. Learn how to leverage best practices in visualization and design to communicate data to any audience.
Courses
-
Start thinking more clearly and strategically about data visualization. Learn how to leverage best practices in visualization and design to communicate data to any audience.
-
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?
-
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.
-
Get an accessible, nontechnical overview of data science, covering the vocabulary, skills, jobs, tools, and techniques of the field.
-
Learn to understand your data in beginner-friendly lessons, using probability. Topics include permutations, percentiles, how to use probability trees, and much more.
-
Dive into data analytics to get a new job, boost your career and take on the Microsoft GSI Data Analytics certification exam.
Taught by
Robin Hunt, Barton Poulson, PhD, Eddie Davila and Bill Shander
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