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Codecademy

Data Scientist: Natural Language Processing Specialist

via Codecademy Path

Overview

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NLP Data Scientists find meaning in language, analyze text and speech, and create chatbots. They use Python, SQL, & NLP to answer questions. Includes **Python 3**, **SQL**, **pandas**, **scikit-learn**, **SpaCy**, **NLTK**, **Tensorflow**, **Matplotlib**, and more.

Syllabus

  • Welcome to the Data Scientist: Natural Language Processing 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 Natural Language Processing Speciality
  • Python Fundamentals Part III
  • Math for Machine Learning
  • Machine Learning Fundamentals
  • Supervised Learning I : Regressors, Classifiers and Trees
  • Unsupervised Learning Algorithms I
  • Supervised Learning II: SVM's, Random Forests, Naive Bayes
  • Machine Learning Portfolio Project
  • Deep Learning and Neural Networks
  • Getting Started with Natural Language Processing
  • Text Preprocessing
  • Language Parsing
  • Language Quantification
  • Text Generation
  • Build Chatbots
  • NLP Portfolio Project
  • Data Scientist: NLP Specialist Final Review

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