Career Path

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.

6,566 learners enrolled

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  • Skill level

    Beginner
  • Time to complete

    Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary
    85 hours
  • Certificate of completion

    Yes
  • Prerequisites

    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.

Average Salary (US)
$125,000

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.

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Frequently asked

  • 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.

How it works

Start your new career faster

  1. Learn the skills

    This expertly curated career path gives you all the knowledge and experience you need to start this career.
  2. Prep for interviews

    Assess if you're ready to apply for jobs, then build your confidence with code challenges and practice questions.
  3. Get hired

    Showcase your skills with a Codecademy professional certification and connect with employers directly.

Become a Data Scientist

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