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Building Neural Networks

In this intro to deep learning and neural networks, you’ll build, train, and test neural networks to classify data and make predictions.
Who Is This For?

Data Scientists interested in building a foundational understanding of neural networks and a skill set to build NN models with Python.

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.
  • Stats & Algebra: Statistics, especially probability, and applying these concepts using Python; Linear algebra concepts like matrices and vector spaces.
  • ML: Supervised Machine Learning topics, such as the components of, and process for building, a regression ML model.
What will I be able to do after this Course?
  • Describe the fundamental structure of neural networks and propagate data through an untrained neural network using the feed forward algorithm.
  • Configure neural networks with proper activation functions and train neural networks using backpropagation and gradient descent.
  • Build, train, and evaluate neural networks for regression and classification problems using Keras.
Reimbursement FAQ

Course Overview

Sprint 1: The Structure of a Neural Network
Learn the fundamental structure of neural networks and propagate data through an untrained neural network using the feed forward algorithm.
Sprint 2: Training a Neural Network
Learn how to configure neural networks with proper activation functions and train neural networks using backpropagation and gradient descent.
Sprint 3: Using Keras To Create Neural Networks
Learn how to build, train, and evaluate neural networks for regression and classification problems using Keras.
Sprint 4: Finalizing Your Housing Models
Build several neural networks for the Capstone Project to predict the price of houses and whether those houses will be sold within 30 days.

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