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Python Data Products for Predictive Analytics Coursera

Highlights
Tuition fee
Free
Free
Unknown
Tuition fee
Free
Free
Unknown
Duration
1 months
Duration
1 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

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.

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. 

Key facts

  • 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

Skills you'll gain

  • Machine Learning
  • Data Analysis
  • Machine Learning Algorithms
  • Probability & Statistics
  • Regression
  • Python Programming
  • Statistical Programming
  • Computer Programming
  • Algorithms
  • Programming Principles
  • General Statistics
  • Data Visualization

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

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

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 Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free

Additional Details

  • Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
  • $59/month, cancel anytime or $399/year with 14-day money-back guarantee

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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