“The learning paths on Dataquest are incredible. They give you a direction through the learning process – you don’t have to guess what to learn next.”

Otávio Silveira

Data Analyst @ Hortifruti

Path overview

On this path, you’ll learn all about deep learning, including how to build, train, and evaluate models with the TensorFlow framework. 

You’ll then learn how to conduct forecasts on real data by applying sequential neural network models to time series forecasting. 

Next, you’ll learn how to use TensorFlow tools and libraries to work on a range of NLP use cases, including text visualization, sentiment analysis models, and more.

Finally, you’ll learn how to apply convolutional neural networks (CNNs) to computer vision tasks so that you can teach computers to see and interpret digital images.

Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser. You’ll apply your skills to several guided projects with realistic business scenarios to build your portfolio and prepare for your next interview. 

Key skills

  • Building and evaluating deep learning regression models using TensorFlow’s Sequential and Functional APIs in Keras
  • Implementing a time series forecast model using LSTM and GRU
  • Building and evaluating a deep learning sentiment classification model using Transformers.
  • Building and training a CNN for image classification tasks

Path outline

Part 1: Deep Learning in TensorFlow [4 courses]

Introduction to Deep Learning in TensorFlow 5h

  • Explain the major concepts and terminology used in deep learning
  • Perform data preprocessing and exploratory analysis to prepare data for modeling
  • Build and evaluate deep learning regression models using TensorFlow’s Sequential and Functional APIs in Keras
  • Build a deep neural network to predict listing gains of IPOs on the Indian market

Sequence Models for Deep Learning 12h

  • Describe sequential neural network models
  • Determine when to use RNN, GRU, and LSTM
  • Implement a sequential model using a basic RNN
  • Implement a time series forecast model using LSTM and GRU

Natural Language Processing for Deep Learning 12h

  • Process and explore text data
  • Visualize text data using a word cloud
  • Implement tokenization and word embeddings
  • Build sequence models
  • Build a transformer-based text classification model

Convolutional Neural Networks for Deep Learning 12h

  • Explain the basics of convolutional neural networks (CNNs)
  • Build and train a CNN for an image classification task
  • Implement regularization techniques
  • Fine-tune a CNN model using transfer learning

The Dataquest guarantee


Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you’ll master data skills and grow your career.


We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.

Master skills faster with Dataquest

Go from zero to job-ready

Go from zero to job-ready

Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.

Build your project portfolio

Build your project portfolio

Build confidence with our in-depth projects, and show off your data skills.

Challenge yourself with exercises

Challenge yourself with exercises

Work with real data from day one with interactive lessons and hands-on exercises.

Showcase your path certification

Showcase your path certification

Impress employers by completing a capstone project and certifying it with an expert review.

Projects in this path

Guided Project: Predicting Listing Gains in the Indian IPO Market Using TensorFlow

Build a deep learning model to predict the listing gains of IPOs in the Indian market.

Guided Project: Time-Series Forecasting on the S&P 500

Build, train, and evaluate an LSTM model with a convolutional layer for S&P 500 index (stock) price prediction.

Guided Project: Classifying Disaster-Related Tweets as Real or Fake

Build a deep learning text classification model to predict whether a given tweet is about a real disaster or not.

Guided Project: Detect Pneumonia Using X-Ray Images with CNNs and Transfer Learning

Build and train multiple deep learning models to detect pneumonia in images of chest X-rays. 

Grow your career with

of learners recommend
Dataquest for career advancement
Dataquest rating on
G2Crowd and SwitchUp
Average salary boost
for learners who complete a path

Aaron Melton

Business Analyst at Aditi Consulting

“Dataquest starts at the most basic level, so a beginner can understand the concepts. I tried learning to code before, using Codecademy and Coursera. I struggled because I had no background in coding, and I was spending a lot of time Googling. Dataquest helped me actually learn.”


Jessica Ko

Machine Learning Engineer at Twitter

“I liked the interactive environment on Dataquest. The material was clear and well organized. I spent more time practicing then watching videos and it made me want to keep learning.”


Victoria E. Guzik

Associate Data Scientist at Callisto Media

“I really love learning on Dataquest. I looked into a couple of other options and I found that they were much too handhold-y and fill in the blank relative to Dataquest’s method. The projects on Dataquest were key to getting my job. I doubled my income!”

Join 1M+ data learners on


Create a free account


Choose a learning path


Complete exercises and projects


Advance your career

Start learning today