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.
By transforming human language into data, natural language processing helps you make sense of it. In this career path, you’ll learn to extract meaning from text, create chatbots, and build neural networks. Along the way, you’ll build portfolio-worthy projects that will help you prepare for a career in data science.
- Welcome to the Data Scientist: Natural Language Processing Specialist Career PathDiscover what you will learn on your journey to becoming a Data Scientist: Natural Language Processing Specialist!
- Principles of Data LiteracyDiscover the world of data in this fully conceptual course where you will learn how to think about, visualize, and analyze data.
- Learn SQLLearn SQL — a popular language that’s used for communicating with databases and working with data.
- Python Fundamentals for Data Science (Part I)Build a foundation in programming with Python with a focus on Data Science!
- 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.
- Portfolio Project: U.S. Medical InsuranceUse your understanding of Python syntax to sort and analyze data about U.S. medical insurance costs!
- Python Pandas for Data ScienceLearn how to use the Python pandas library and lambda functions for Data Science.
- Exploratory Data Analysis in PythonLearn about exploratory data analysis (EDA) techniques for Data Science
- Statistics Fundamentals for Data ScienceLearn how and when to use the essential statistical tools Data Scientists use to analyze data.
- Data Visualization Fundamentals with PythonIf a picture is worth a thousand words, then a visualization is worth more than a thousand data points. Learn how to make them here!
- Portfolio Project: Data VisualizationUse your understanding of data visualization to analyze and plot data about GDP and life expectancy.
- Data Wrangling, Cleaning, and TidyingClean, well-structured data is essential to data science but cleaning data requires both a keen eye and technical skills. Develop both here!
- Communicating Data Science FindingsCommunication is an important part of your work as a data scientist. Learn best practices for effectively explaining your analysis.
- Data Science Foundations Portfolio ProjectUse your knowledge of data analysis to interpret data about endangered animals for the National Park Service.
- Next Step: The Natural Language Processing SpecialityGet ready for your data science specialization by reviewing how each role works to make meaning from data.
- Python Fundamentals Part IIIExpand your knowledge of Python with Classes and Modules.
- Math for Machine LearningBuild your mathematics foundation in preparation for Machine Learning.
- Machine Learning FundamentalsBuild a foundational understanding of machine learning and feature engineering.
- Supervised Learning I : Regressors, Classifiers and TreesLearn about Supervised Learning algorithms like Linear and Logistic Regression, KNN, and Decision Trees
- Unsupervised Learning Algorithms ILearn about Unsupervised Learning algorithms, their implementation and where they’re used.
- Supervised Learning II: SVM's, Random Forests, Naive BayesContinue building your machine learning knowledge with Support Vector Machines, Random Forests, and Naive Bayes Classifiers.
- Machine Learning Portfolio ProjectUse your knowledge of machine learning to build, train, and test predictions you draw about data from OKCupid.
- Deep Learning and Neural NetworksExplore how deep learning and neural networks are leveraged for machine learning!
- Getting Started with Natural Language ProcessingDelve into the exciting world of Natural Language Processing (NLP) with this overview of major topics in the field.
- Text PreprocessingFind out how to prepare your text data for most NLP tasks.
- Language ParsingApply regular expressions (regex) and other natural language parsing tactics to find meaning and insights in the texts you read every day.
- Language QuantificationLearn different ways to represent language numerically, including bag-of-words, tf-idf, and word embeddings.
- Text GenerationLearn about seq2seq and LSTM neural networks commonly used in NLP work and how to implement them for machine translation.
- Build ChatbotsBuild your very first chatbot with Python and say “hello” to your next cutting-edge skill!
- NLP Portfolio ProjectYou’ve learned a lot and it’s time to show off your skills. Analyze text message data any way you like in this portfolio project.
- Data Scientist: NLP Specialist Final Review Review what you learned in the Data Scientist: NLP Specialist Career Path and explore ways to deepen your knowledge!
