Become a Data Scientist
Offered By: LinkedIn Learning
Course Description
Overview
Whether you're working in IT or simply have an interest in entering the exciting field, this learning path will support you in developing a career in data science. Learn about the fundamental stages of data science work, from Statistics and Systems Engineering to Data Mining and Machine Learning.
- Build a solid foundational understanding of statistics, which is necessary for any data science-related field.
- Discover the many categories of job specialization within Data Science.
- Learn how to source, explore, and communicate with data through graphs and statistics.
Syllabus
Courses under this program:
Course 1: A Day In The Life of a Data Scientist
-Follow along with one day in the life of real data scientists working on real projects. Get on-the-job insights to help prepare you to tackle the next challenge or choose your next data science role.
Course 2: The Non-Technical Skills of Effective Data Scientists
-Learn the nontechnical skills that effective data scientists must nurture to convert their first job into a successful, lifelong career.
Course 3: Data Science & Analytics Career Paths & Certifications: First Steps
-Learn about the jobs and most valuable certifications available in big data, data analytics, and data science.
Course 4: Data Science Foundations: Fundamentals (2019)
-Get a basic introduction to the careers, tools, and techniques of modern data science.
Course 5: 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 6: 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 7: Data Visualization: Storytelling
-Learn the keys to telling a story with data from data visualization expert Bill Shander.
Course 8: Big Data in the Age of AI
-Explore big data and how it works. Learn about big data's relationship to AI, data science, social media, and the Internet of Things (IoT).
Course 9: Learning Data Governance
-Understand why data governance is an essential part of helping every organization succeed in the era of big data and data science
Course 10: Data Fluency: Exploring and Describing Data (2019)
-Learn how anyone, in any industry, can speak the language of data analysis. Find out how to prepare data, explore it visually, and describe it using statistical methods.
Course 11: Lessons from Data Scientists
-Get advice and real-world lessons from practicing data scientists: from how to get a job to mastering your skills to growing in your role.
Course 12: Side Hustle Strategies for Data Science and Analytics Experts
-Diversify your career prospects by integrating a side hustle with your existing responsibilities. Learn how to leverage your data science and analytics skills to work for yourself.
Course 1: A Day In The Life of a Data Scientist
-Follow along with one day in the life of real data scientists working on real projects. Get on-the-job insights to help prepare you to tackle the next challenge or choose your next data science role.
Course 2: The Non-Technical Skills of Effective Data Scientists
-Learn the nontechnical skills that effective data scientists must nurture to convert their first job into a successful, lifelong career.
Course 3: Data Science & Analytics Career Paths & Certifications: First Steps
-Learn about the jobs and most valuable certifications available in big data, data analytics, and data science.
Course 4: Data Science Foundations: Fundamentals (2019)
-Get a basic introduction to the careers, tools, and techniques of modern data science.
Course 5: 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 6: 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 7: Data Visualization: Storytelling
-Learn the keys to telling a story with data from data visualization expert Bill Shander.
Course 8: Big Data in the Age of AI
-Explore big data and how it works. Learn about big data's relationship to AI, data science, social media, and the Internet of Things (IoT).
Course 9: Learning Data Governance
-Understand why data governance is an essential part of helping every organization succeed in the era of big data and data science
Course 10: Data Fluency: Exploring and Describing Data (2019)
-Learn how anyone, in any industry, can speak the language of data analysis. Find out how to prepare data, explore it visually, and describe it using statistical methods.
Course 11: Lessons from Data Scientists
-Get advice and real-world lessons from practicing data scientists: from how to get a job to mastering your skills to growing in your role.
Course 12: Side Hustle Strategies for Data Science and Analytics Experts
-Diversify your career prospects by integrating a side hustle with your existing responsibilities. Learn how to leverage your data science and analytics skills to work for yourself.
Courses
-
Follow along with one day in the life of real data scientists working on real projects. Get on-the-job insights to help prepare you to tackle the next challenge or choose your next data science role.
-
Explore big data and how it works. Learn about big data's relationship to AI, data science, social media, and the Internet of Things (IoT).
-
Learn the keys to telling a story with data from data visualization expert Bill Shander.
-
Get advice and real-world lessons from practicing data scientists: from how to get a job to mastering your skills to growing in your role.
-
Diversify your career prospects by integrating a side hustle with your existing responsibilities. Learn how to leverage your data science and analytics skills to work for yourself.
-
Learn the nontechnical skills that effective data scientists must nurture to convert their first job into a successful, lifelong career.
-
Learn how anyone, in any industry, can speak the language of data analysis. Find out how to prepare data, explore it visually, and describe it using statistical methods.
-
Learn about the jobs and most valuable certifications available in big data, data analytics, and data science.
-
Get a basic introduction to the careers, tools, and techniques of modern data science.
-
Understand why data governance is an essential part of helping every organization succeed in the era of big data and data science
-
Learn to understand your data in beginner-friendly lessons, using probability. Topics include permutations, percentiles, how to use probability trees, and much more.
-
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.
Taught by
Lacey Westphal, Ph.D., Keith McCormick, Jungwoo Ryoo, Barton Poulson, Eddie Davila, Bill Shander and Jonathan Reichental, Ph.D.
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