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.
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Skill level
BeginnerTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary100 hoursProjects
59Prerequisites
None
About this career path
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.
Syllabus
31 units • 84 lessons • 59 projects • 64 quizzes- 1
Welcome to the Data Scientist: Natural Language Processing Specialist Career Path
Discover what you will learn on your journey to becoming a Data Scientist: Natural Language Processing 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.
Certificate of completion available with Pro
Earn a certificate of completion and showcase your accomplishment on your resume or LinkedIn.
Take your skills into the real world with projects
Practice new skills, connect concepts, and put it all together to create something of your own.- portfolio Project
U.S. Medical Insurance Costs
Analyze a medical insurance costs dataset using Python. Explore the relationships between variables and investigate the role of attributes like age and location on medical insurance costs. - portfolio Project
Life Expectancy and GDP
Analyze, prepare, and visualize data about GDP and life expectancy from the World Health Organization. Identify trends and spot outliers using your data analysis skills. - portfolio Project
OKCupid Date-A-Scientist
In this project, you will analyze some data from OKCupid, an app that focuses on using multiple choice and short answers to match users. You'll apply your machine learning knowledge to build, train, and test predictions that you draw from the data.
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Earn a certificate of completion
Show your network you've done the work by earning a certificate of completion for each course or path you finish.- Show proofReceive a certificate that demonstrates you've completed a course or path.
- Build a collectionThe more courses and paths you complete, the more certificates you collect.
- Share with your networkEasily add certificates of completion to your LinkedIn profile to share your accomplishments.
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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.
Everything you need for a Data Scientist: Natural Language Processing Specialist career
- Job-readiness checkerUse AI to evaluate how well your skills and experience meet the requirements of a job posting.Powered by AI
- Portfolio projectsApply what you're learning to create recruiter-ready projects for your portfolio.
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Learn the skills
This expertly curated career path gives you all the knowledge and experience you need to start this career.Prep for interviews
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