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.
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Skill level
BeginnerTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary85 hoursProjects
59Prerequisites
None
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.
Syllabus
24 units • 78 lessons • 59 projects • 53 quizzes- 1
Welcome to the Data Scientist: Inference Specialist Career Path
Discover what you will learn on your journey to becoming a Data Scientist: Inference Specialist!
- 2
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.
- 3
Learn SQL
Learn SQL — a popular language that’s used for communicating with databases and working with data.
- 4
Python Fundamentals for Data Science (Part I)
Build a foundation in programming with Python with a focus on Data Science!
- 5
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.
- 6
Portfolio Project: U.S. Medical Insurance
Use your understanding of Python syntax to sort and analyze data about U.S. medical insurance costs!
- 7
Python Pandas for Data Science
Learn how to use the Python pandas library and lambda functions for Data Science.
Certificate of completion available with Pro
Earn a certificate of completion and showcase your accomplishment on your resume or LinkedIn.
Take your skills into the real world with projects
Practice new skills, connect concepts, and put it all together to create something of your own.- portfolio Project
Data Scientist: Inference Specialist Final Portfolio
Bring together all of your data science and inference skills into a portfolio project. Clean, analyze, and visualize, a dataset and then compile your results into a portfolio-worthy report. - portfolio Project
U.S. Medical Insurance Costs
Analyze a medical insurance costs dataset using Python. Explore the relationships between variables and investigate the role of attributes like age and location on medical insurance costs. - portfolio Project
Life Expectancy and GDP
Analyze, prepare, and visualize data about GDP and life expectancy from the World Health Organization. Identify trends and spot outliers using your data analysis skills.
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Earn a certificate of completion
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Career paths teach you exactly what you need to start a new career. Curated by our team of experts, career paths contain a collection of courses, projects, prep for technical interviews, and more. By the end, you’ll be ready to start interviewing for entry-level jobs in the career of your choice.
Everything you need for a Data Scientist: Inference Specialist career
- Job-readiness checkerUse AI to evaluate how well your skills and experience meet the requirements of a job posting.Powered by AI
- Portfolio projectsApply what you're learning to create recruiter-ready projects for your portfolio.
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Learn the skills
This expertly curated career path gives you all the knowledge and experience you need to start this career.Prep for interviews
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