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 and Analytics Career Paths and Certifications: First Steps
-Learn about the history, roles, career paths, and industry-recognized certifications in the field of data science and analytics.

Course 4: Data Science Foundations: Fundamentals
-Get an accessible, nontechnical overview of data science, covering the vocabulary, skills, jobs, tools, and techniques of the field.

Course 5: 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 6: 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 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
-Discover the crucial role big data plays in artificial intelligence. Learn how to navigate and extract meaningful insights from vast data sets to tackle real-world problems.

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 Literacy: Exploring and Describing Data
-Learn the fundamentals of data fluency and how data can help you make better decisions.

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.

Taught by

Lacey Westphal, Ph.D., Keith McCormick, Jungwoo Ryoo, Barton Poulson, Eddie Davila, Eddie Davila, Bill Shander, Barton Poulson, Jonathan Reichental, Ph.D., Barton Poulson, Lacey Westphal, Ph.D. and Keith McCormick