Data Scientist: Natural Language Processing Specialist

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