Become a Data Scientist

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.

• 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
• 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
• 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.