Online Course – Certified Professional Internship in Machine Learning for Marketing from Google and OP Jindal University

Learn Machine Learning Techniques in Marketing. This 5-course specialization from Jindal Global Business School (JGBS) is designed for marketers and anyone interested in gaining in-depth knowledge of how to determine effective marketing strategies using machine learning and decision science.

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קורס אונליין - התמחות מקצועית מוסמכת בלמידת מכונה לשיווק של Google ואוניברסיטת O.P. Jindal

Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Google Analytics
  • Python Programming Language
  • Anaconda navigator
  • Sentiment Analysis
  • Text mining techniques

What you will learn in the course

Courses for which the course is suitable

  • Marketing Data Analyst
  • Machine Learning Expert in Marketing
  • Digital Campaign Manager
  • Digital Marketing Analysis Specialist
  • SEO Manager
  • Customer Experience Analyst
  • Data-driven marketing content developer
  • Expert in sentiment analysis in marketing
  • Campaign Performance Analyst
  • Digital marketing program developer

Internship – Series of 5 courses

Understand the structure and techniques used in machine learning, text search, and decision science in marketing. Discover the fascinating world of machine learning and its revolutionary applications in marketing.

Improving marketing decision-making

Explain how analytical approaches and decision science in marketing can improve the quality of marketing decision-making.

Basics of digital marketing analysis

A foundation in digital marketing analysis to understand the customer journey, intent, and activity on your business website.

Hands-on Learning Project

You will participate in practical activities and create a digital marketing plan and a Google Ads campaign using KPIs to evaluate campaign performance.

Tasks during the internship courses

  • Use Google Analytics to get important data about marketing performance
  • Improve the brand website for Google search engine and use the latest technologies in digital marketing
  • Use text search techniques for sentiment analysis and customer feedback analysis in marketing
  • Use the Python programming language for data analysis to predict marketing trends

Details of the courses that make up the specialization

Supervised Machine Learning and Its Applications in Marketing

Course 1 • 21 hours

Course Details
  • What you will learn:
    • Use Python as an effective tool in supervised learning methods.
    • Develop and implement supervised machine learning models for classification and regression purposes.
    • Interpret and analyze various applications of supervised machine learning in marketing.
    • Describe the deployment of machine learning models and the challenges associated with it.
  • Skills you will acquire:
    • Category: Google Analytics
    • Category: Performance Indicators
    • Category: Google Ads advertising campaigns
    • Category: Digital Marketing Plan
    • Category: Digital Marketing Techniques

Unsupervised machine learning and its applications in marketing

Course 2 • 21 hours

Course Details
  • What you will learn:
    • Use Python as an effective tool for implementing various algorithms.
    • Describe unsupervised machine learning and list its various algorithms.
    • List the various applications and promising areas for innovation through unsupervised learning.
  • Skills you will acquire:
    • Category: Meaning of text mining in marketing
    • Category: Customer Feedback Analysis
    • Category: Emotion Analysis
    • Category: Text mining techniques
    • Category: Kibbutz

Introduction to Decision Sciences in Marketing

Course 3 • 22 hours

Course Details
  • What you will learn:
    • Demonstrate a solid understanding of the decision-making process through data analysis.
    • Imagine and see how data analysis techniques are designed for real marketing problems.
    • Explain how marketing analytics and a decision science approach can improve the quality of marketing decision-making.
  • Skills you will acquire:
    • Category: Decision Theory
    • Category: Decision Making
    • Category: Marketing Analysis
    • Category: Data Analysis Techniques

Text mining for marketing

Course 4 • 20 hours

Course Details
  • What you will learn:
    • Understand what text mining is, what it achieves, and what possible uses it has in the field of marketing.
    • To examine how theoretical problems translate into practical applications in the field of text mining in marketing.
    • Identify powerful analytical techniques that can be applied to texts and other types of data.
    • Explain what is the correct and incorrect process for analyzing texts for the purpose of making marketing decisions.
  • Skills you will acquire:
    • Category: Anomaly Detection
    • Category: Dimensionality Reduction
    • Category: Unsupervised Machine Learning
    • Category: K-Means clustering
    • Category: Association Learning

Digital Marketing Analytics

Course 5 • 16 hours

Course Details
  • What you will learn:
    • Describe the consumer journey, intentions, and activity on your business website or landing pages.
    • Discuss the various digital marketing platforms, their essence, the business components required to create a digital marketing strategy, and the various key performance indicators (KPIs).
    • Explain Google Analytics, its importance and data insights that businesses can leverage, and how GA4 is different from Google Analytics Universal.
    • Analyze how to understand and refine brand image and marketing goals from the various performance indicators.
  • Skills you will acquire:
    • Category: Performance Indicators
    • Category: Regression
    • Category: Supervised Machine Learning
    • Category: Classification
    • Category: Visualization

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