Data Scientist: Inference Specialist
Inference Data Scientists run A/B tests, do root-cause analysis, and conduct experiments. They use Python, SQL, and R to analyze data.
Includes Python 3, SQL, R, pandas, scikit-learn, NumPy, Matplotlib, and more.
Time to complete26 Weeks
Certificate of completionYes
About this career path
If you want to discover why things happen, and prove a case with data, this is the path for you. Inference Data Scientists design experiments, test hypotheses, and conduct causal inference in order to figure out what factors are driving outcomes. This Career Path will teach you to do just that, and along the way, you’ll build portfolio-worthy projects that will help you get job-ready.
Syllabus24 units • 78 lessons • 59 projects • 53 quizzes
Welcome to the Data Scientist: Inference Specialist Career Path
Discover what you will learn on your journey to becoming a Data Scientist: Inference Specialist!
Principles of Data Literacy
Discover the world of data in this fully conceptual course where you will learn how to think about, visualize, and analyze data.
Learn SQL — a popular language that’s used for communicating with databases and working with data.
Python Fundamentals for Data Science (Part I)
Build a foundation in programming with Python with a focus on Data Science!
Python Fundamentals for Data Science (Part II)
Continue building your Python Skills while applying them to real data science challenges including finding and working with real data.
Portfolio Project: U.S. Medical Insurance
Use your understanding of Python syntax to sort and analyze data about U.S. medical insurance costs!
Python Pandas for Data Science
Learn how to use the Python pandas library and lambda functions for Data Science.
Hands-on learningDon't just watch or read about someone else coding — write your own code live in our online, interactive platform. You'll even get AI-driven recommendations on what you need to review to help keep you on track.
Projects in this career path
Heart Disease Research Part IIInvestigate risk factors for heart disease using descriptive statistics and hypothesis tests.
A/B Testing at Nosh Mish MoshNosh Mish Mosh is a food startup with a cool new idea. Help them make data driven decisions by analyzing their user base.
Familiar: A Study In Data AnalysisIn this project we will be offering our services to a cool new startup named Familiar. We will be using statistical techniques to make statements and draw conclusions about Familiar's user base.
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