Is this course really 100% online? Do I need to attend any classes in person?

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Can I just enroll in a single course?

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Can I take the course for free?

No, you cannot take this course for free. When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you cannot afford the fee, you can apply for financial aid.

Will I earn university credit for completing the Specialization?

This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

Spécialisation Machine Learning for Marketing

Ce spécialisation n'est pas disponible en Français (France)

Nous sommes actuellement en train de le traduire dans plus de langues.

Spécialisation Machine Learning for Marketing

Learn Machine Learning Techniques in Marketing. This 5-course Specialization from Jindal Global Business School (JGBS) is for marketing professionals, and anyone interested in gaining greater knowledge of how to conceptualize effective marketing strategies and decisions using Machine Learning (ML) and Decision Science.

Instructeurs : Ambica Ghai

Inclus avec Coursera Plus

Série de 5 cours

Approfondissez votre connaissance d’un sujet

4.2

(12 avis)

niveau Débutant

Expérience recommandée

3 mois à raison de 10 heures par semaine

Planning flexible

Obtenir une qualification professionnelle

Partagez votre expertise avec les employeurs

Série de 5 cours

Approfondissez votre connaissance d’un sujet

4.2

(12 avis)

niveau Débutant

Expérience recommandée

3 mois à raison de 10 heures par semaine

Planning flexible

Obtenir une qualification professionnelle

Partagez votre expertise avec les employeurs

Ce que vous apprendrez

You will create a digital marketing plan and an Ad Campaign on Google Ads using KPIs to evaluate the performance of campaigns.
You will use Google Analytics, Google search engine, Python programming language, and Anaconda Navigator to make informed marketing decisions.
You will also use text mining techniques for sentiment analysis and customer feedback analysis in marketing.

Vue d'ensemble

Understand the structure and techniques used in Machine Learning, Text Mining, and Decision Science for Marketing.
Explore the fascinating world of Machine Learning and its transformative applications in marketing.
Explain how analytics and decision science approaches for marketing can enhance the quality of marketing decision-making.
Foundation in digital marketing analytics to understand the consumer journey, intent, and activity on your business website.

Ce qui est inclus

Certificat partageable

Ajouter à votre profil LinkedIn

Enseigné en Anglais

179 exercices pratiques

Améliorez votre expertise en la matière

Acquérez des compétences recherchées auprès d’universités et d’experts du secteur
Maîtrisez un sujet ou un outil avec des projets pratiques
Développez une compréhension approfondie de concepts clés
Obtenez un certificat professionnel auprès de O.P. Jindal Global University

Spécialisation - série de 5 cours

You will engage in hands-on activities and create a digital marketing plan and an Ad Campaign on Google Ads using KPIs to evaluate the performance of campaigns.

In the specialization courses, you will be able to perform tasks such as:

Use Google Analytics to get important data for marketing performance
Optimize the brand website for the Google search engine and use the latest technologies for digital marketing
Use text mining techniques for sentiment analysis and customer feedback analysis in marketing
Use Python programming language to analyze data for making marketing predictions

Supervised Learning and Its Applications in Marketing

COURS 121 heuresVoir le cours

Ce que vous apprendrez

Apply Python as an effective tool for supervised learning techniques.
Develop and train supervised machine learning models for classification and regression tasks.
Interpret and analyze various applications of supervised learning in marketing.
Describe the deployment of machine learning models and the challenges encountered in the deployment.

Compétences que vous acquerrez

Customer Retention, Supervised Learning, Marketing Analytics, Python Programming, Marketing, Customer Insights, Applied Machine Learning, Predictive Analytics, Regression Analysis, Scikit Learn (Machine Learning Library), Marketing Strategies, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Application Deployment, Machine Learning et Personalized Service

Unsupervised Learning and Its Applications in Marketing

COURS 221 heuresVoir le cours

Ce que vous apprendrez

Apply Python as an effective tool for implementing various algorithms.
Describe unsupervised learning and list its various algorithms.
List the various applications and promising areas for the application of unsupervised learning.

Compétences que vous acquerrez

Unsupervised Learning, Dimensionality Reduction, Anomaly Detection, Customer Analysis, Python Programming, Algorithms, Marketing Analytics, Unstructured Data, Applied Machine Learning, Target Audience, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Market Analysis, Machine Learning Algorithms, Customer Insights, Marketing, Data-Driven Decision-Making, Exploratory Data Analysis, Data Mining et Artificial Neural Networks

Introduction to Decision Science for Marketing

COURS 322 heuresVoir le cours

Ce que vous apprendrez

Demonstrate a solid understanding of the decision-making process through data analytics.
Visualize and imagine the application of data analytics techniques to real-world marketing problems.
Explain how marketing analytics and decision science approaches for marketing can enhance the quality of marketing decision-making.

Compétences que vous acquerrez

Customer Retention, Predictive Analytics, Customer Acquisition Management, Loyalty Programs, Customer Analysis, Data-Driven Decision-Making, Business Analytics, Marketing Analytics, Consumer Behaviour, Marketing Strategies, Customer Insights, Customer experience improvement et Personalized Service

Text Mining for Marketing

COURS 420 heuresVoir le cours

Ce que vous apprendrez

Comprehend what text mining is, what it accomplishes, and what use cases it can be put to in the marketing discipline.
Examine how theoretical issues are translated into practical applications in text mining for the marketing domain.
Identify the potent analytical techniques that you can apply to text and other types of data.
Explain what constitutes sound practices and what does not while analyzing texts for decision-making in marketing.

Compétences que vous acquerrez

Text Mining, Marketing, Unstructured Data, Customer Insights, Brand Awareness, Predictive Analytics, Natural Language Processing, Marketing Analytics, Machine Learning, Data Quality, Data Ethics et Data Mining

Digital Marketing Analytics

COURS 516 heures4.4 (11 évaluations)Voir le cours

Ce que vous apprendrez

Describe consumer journey, intent, and activity on your business website or landing pages.
Discuss the various digital marketing platforms, their nature, the business elements to create a digital marketing strategy, and various KPIs.
Explain Google Analytics, its importance and data insights that businesses can leverage upon, and how GA4 is different from Universal Analytics.
Analyze how to understand and fine-tune the brand image and market objectives from various KPIs.

Compétences que vous acquerrez

Digital Marketing, Google Analytics, Emerging Technologies, Social Media, Online Advertising, Search Engine Marketing, Search Engine Optimization, Marketing Planning, Digital Advertising, Web Analytics, Keyword Research, Web Analytics and SEO, Google Ads, Blogs, Advertising, Marketing Analytics, Marketing Channel, Marketing Strategies, Social Media Marketing et Paid media

Obtenez un certificat professionnel

Ajoutez ce titre à votre profil LinkedIn, à votre curriculum vitae ou à votre CV. Partagez-le sur les médias sociaux et dans votre évaluation des performances.

Instructeurs

Ambica Ghai

O.P. Jindal Global University

2 Cours1 814 apprenants

Prof. Lalit Pankaj

O.P. Jindal Global University

2 Cours774 apprenants

Dr. Janardan Krishna Yadav

O.P. Jindal Global University

1 Cours2 213 apprenants

Offert par

O.P. Jindal Global University

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Foire Aux Questions

You will need approximately 100-120 hours to complete the Specialization.

You should have a basic knowledge of marketing concepts and data analytics techniques, Google search engine, Google Ads, and Google Analytics. An intermediate-level knowledge in Python programming would be beneficial.

No, you can take courses in any order.