Python Data Products for Predictive Analytics, Short Course | Part time online | Coursera | United States
1 months
Duration
Free
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Tuition fee
Anytime
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About

Build Predictive Systems with Accuracy. Collect, model, and deploy data-driven systems using Python and machine learning with this Python Data Products for Predictive Analytics Specialization offered by Coursera in partnership with UC San Diego.

Visit the Visit programme website for more information

Overview

Python data products are powering the AI revolution. Top companies like Google, Facebook, and Netflix use predictive analytics to improve the products and services we use every day. Take your Python skills to the next level and learn to make accurate predictions with data-driven systems and deploy machine learning models with this four-course Specialization from UC San Diego.

This  Python Data Products for Predictive Analytics  Specialization offered by Coursera in partnership with UC San Diego is for learners who are proficient with the basics of Python. You’ll start by creating your first data strategy. You’ll also develop statistical models, devise data-driven workflows, and learn to make meaningful predictions for a wide-range of business and research purposes. 

Finally, you’ll use design thinking methodology and data science techniques to extract insights from a wide range of data sources. This is your chance to master one of the technology industry’s most in-demand skills.

What you will learn

  • Discover how to transform data and make it suitable for data-driven predictive tasks
  • Understand how to compute basic statistics using real-world datasets of consumer activities, like product reviews and more
  • Use Python to create interactive data visualizations to make meaningful predictions and build simple demo systems
  • Perform simple regressions and classifications on datasets using machine learning libraries

Programme Structure

Courses include:

  • Basic Data Processing and Visualization
  • Design Thinking and Predictive Analytics for Data Products
  • Meaningful Predictive Modeling
  • Deploying Machine Learning Models

Key information

Duration

  • Part-time
    • 1 months
    • 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

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

  • Some related experience required.

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 months.
  • National

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

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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