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Natural Language Processing with Python

Develop skills to process, analyze, and classify text using Natural Language Processing.
Who Is This For?

Data Practitioners with experience building machine learning learning models that are interested in incorporating NLP into their models.

Any prerequisites?
  • Python: Familiarity with object oriented programming and concepts like nested for loops; a developed understanding of syntax, data structures, Pandas DataFrames, NumPy, and Scikit-Learn.
  • Machine Learning: Supervised Machine Learning topics, such as the components of, and process for building, a regression ML model.
  • Stats & Algebra: Statistics, especially probability, and applying these concepts using Python; Linear algebra concepts like matrices and vector spaces.
What will I be able to do after this Course?
  • Apply preprocessing techniques for initial investigation of text data.
  • Vectorize text data for use as input to a ML model.
  • Visualize, explain and apply word embeddings for use in a ML model.
  • Perform sentiment analysis on a text document using polarity scores and analyze the results.
Reimbursement FAQ

Course Overview

Sprint 1: Cleaning Natural Language
Learn the foundational concepts and datasets used in NLP, and begin basic text preprocessing and analysis.
Sprint 2: Vectorization
Learn how to vectorize text data for ML models, explore the different ways in which you can vectorize data, and apply that data to a ML problem.
Sprint 3: Word Embeddings
Transform text using word embeddings, visualize those embeddings, and interpret the results.
Sprint 4: Sentiment Analysis
Learn the fundamentals of sentiment analysis.

What’s in a Modal course?

1:1 Coaching
Receive personal guidance, instruction, and motivation from real, practicing industry experts.
Real-world simulations
Practical coursework blends simulated and real-world projects, ensuring you are building job-ready skills.
Integrated code editor
In-browser coding environment mitigates challenges while enabling paired programming and inline feedback.
Structure & flexibility
Engage with content when your schedule allows. Our assignments and deadlines help you stay on track and our coaches keep you accountable.
Individual guidance
Courses for a variety of career goals, skill needs, and company objectives, ensuring learning is both relevant and productive.
Capstones projects
Challenging and satisfying capstone projects allow you to demonstrate the skills you’ve learned, while reinforcing collaboration and business skills.

Meet our coaches

Linda Liu
Director, Data Science & Analytics

Working with the learners makes it an incredibly rewarding journey. The shared excitement and collaborative growth highlight the entire fulfilling coaching experience!

Nataliia Maksimova
Director, Business Intelligence

It's incredibly inspiring to introduce people to the fascinating world of data. Sharing my passion for data and showing that it's not just dry numbers but a creative field where you can grow and innovate is deeply rewarding.

Udit Mehrotra
Senior Data Scientist

Seeing the growth in my learners is not only heartening but also assuring because I know I had a significant role to play in shaping their journey.

Interested in buying multiple seats for your team?
Contact us