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Data Science for Marketing Coursera

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

About

Data Science for Marketing Success. Gain advanced skills in marketing data analytics, machine learning, and decision-making strategies to increase customer lifetime value on this Data Science for Marketing Specialization offered by Coursera in partnership with University of Colorado System.

Overview

This Data Science for Marketing Specialization offered by Coursera in partnership with University of Colorado System is designed for marketing professionals aiming to harness the power of data science. Across four comprehensive courses, learners will learn about modern marketing data analytics, regression modeling, machine learning, and decision-making. 

This program covers statistical concepts, predictive analytics, and decision optimization, ensuring a well-rounded understanding of how to apply data science in marketing. Participants will learn to interpret data, forecast trends, and make data-driven marketing decisions, enhancing both customer engagement and business profitability. 

Applied Learning Project

  • Students will use data visualizations and statistical outputs to interpret marketing data for real-world applications. 
  • The instructor provides several sample cases through which learners can apply skills taught in the courses. 
  • Learners have the opportunity to practice predicting how marketing actions influence customer behavior.

Skills you'll gain

  • Predictive Analytics
  • Data Visualization
  • Regression Analysis
  • Unsupervised Learning
  • Anomaly Detection
  • Customer Analysis
  • Bayesian Network
  • Marketing Analytics
  • Classification And Regression Tree (CART)
  • Data-Driven Decision-Making
  • Statistical Analysis
  • Statistical Hypothesis Testing

Programme Structure

Courses include:

  • Customer Data Analytics for Marketers
  • Regression Modeling for Marketers
  • Machine Learning for Marketers
  • Time, Change, and Decisions for Marketing

Key information

Duration

  • Part-time
    • 4 months
    • Flexible

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

  • At least 2 years of marketing or business experience. 

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
  • Domestic

    In-State
    Free

Additional Details

  • This short course is included with Coursera Plus subscription

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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