Sequences, Time Series and Prediction, Certificate | Part time online | Coursera | United States
1 days
Duration
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Tuition fee
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About

This Sequences, Time Series and Prediction course offered by Coursera in partnership with Deeplearning will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.

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Overview

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. 

In this Sequences, Time Series and Prediction course offered by Coursera in partnership with Deeplearning, you will learn how to build time series models in TensorFlow. You’ll first implement best practices to prepare time series data. You’ll also explore how RNNs and 1D ConvNets can be used for prediction. Finally, you’ll apply everything you’ve learned throughout the Specialization to build a sunspot prediction model using real-world data!

Key facts

The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.

Programme Structure

Courses include:

  • Sequences and Prediction
  • Deep Neural Networks for Time Series
  • Recurrent Neural Networks for Time Series
  • Real-world time series data

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online
  • Self-paced

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Intermediate Level

  • You should take the first 3 courses of the TensorFlow Specialization and be comfortable coding in Python and understanding high school-level math.

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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