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Codecademy

Data Scientist: Inference Specialist

via Codecademy Path

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Overview

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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.

Syllabus

  • Welcome to the Data Scientist: Inference Specialist Career Path
  • Principles of Data Literacy
  • Learn SQL
  • Python Fundamentals for Data Science (Part I)
  • Python Fundamentals for Data Science (Part II)
  • Portfolio Project: U.S. Medical Insurance
  • Python Pandas for Data Science
  • Exploratory Data Analysis in Python
  • Statistics Fundamentals for Data Science
  • Data Visualization Fundamentals with Python
  • Portfolio Project: Data Visualization
  • Data Wrangling, Cleaning, and Tidying
  • Communicating Data Science Findings
  • Data Science Foundations Portfolio Project
  • Next Step: The Inference Speciality
  • Advanced Exploratory Data Analysis
  • Statistics Fundamentals Part II
  • Math for Inference Data Science
  • Regression for Inference Data Science
  • R for Programmers
  • Causal Inference Fundamentals
  • Advanced SQL for Data Science
  • Data Scientist: Inference Final Portfolio Project
  • Data Scientist: Inference Specialist Final Review

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