Online Course – Certified Professional Internship in Machine Learning for Marketing from Google and Fundação Instituto de Administração

Discover how effective data management can improve your business marketing in the digital age.

Suggested by: Coursera (What is Coursera?)

Professional Certificate

Beginners Intermediate level Advanced involved

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Communication skills
  • Time management
  • Troubleshooting
  • Creative thinking
  • Teamwork
  • Leadership skills
  • Adaptability
  • Research skills
  • Selling ideas
  • project management

What you will learn in the course

Courses for which the course is suitable

  • Digital Marketing Manager
  • Data Analyst
  • Artificial Intelligence Marketing Expert
  • Digital Marketing Project Manager
  • Data analysis specialist
  • Digital Marketing Strategic Consultant
  • Customer Experience Manager
  • Develop data-driven marketing strategies

Internship – a four-part course series

introduction

Marketing has been one of the most advanced industries in terms of data management and customer information collection. It has moved from manual and cumbersome processes to connected applications that are available at the touch of a button, which results in positive revenue results and improves the customer experience. Large technology companies such as Google, Facebook and Apple are currently responsible for leading this change and are accelerating the implementation and adoption of new technologies, which are affecting the way customers consume information and providing continuous improvement to the field.

The importance of change

The reason this change has become so important is that companies are rethinking the strategies that work to fulfill customer needs, and the way customers interact with the companies’ services and offerings, through:

  • Mobile devices
  • Internet of Things
  • Other devices

Course content

The course covers the key aspects of digital transformation in the marketplace and how we can leverage data science to create a competitive advantage. Topics include:

  • Data Science and Engineering
  • Data analysis tools
  • Basic aspects of artificial intelligence

Course results

At the end of the program, you will be able to implement digital transformation in marketing in your work environment, as well as develop unique strategies for each type of problem.

Hands-on Learning Project

The integrated course program does not require the development of a practical project. Assessment activities are carried out throughout each course. Each course consists of four assessments at the end of each module, for a total of 16 assessments throughout the program.

Details of the courses that make up the specialization

Digital Transformation: Marketing in the Data Age

Course 1 • 32 hours

Course Details

What you’ll learn

Welcome to the course “Digital Transformation: Marketing in the Data Age.” The reason this shift has become so important is that organizations are re-strategizing how they serve their customers’ needs, and how those customers interact with the companies’ services and offerings, whether through mobile devices, the Internet of Things, or other devices.

In this course, you will learn about digital transformation in marketing, from history to the present day.

At the end of the course, you will be able to apply topics such as:

  • Digital transformation
  • Brand culture
  • Customer experience
  • Marketing strategies
  • Creating a culture of innovation with an emphasis on marketing

The course consists of four modules, which are presented in study weeks. Each module includes videos, readings, and tests to learn the information. At the end of each module there is a knowledge test.

We are very happy to have you in this course and hope you will get the most out of the concepts presented here.

Fun studies!

Skills you will acquire

  • Category: Digital Transformation in Marketing
  • Category: Data Analysis
  • Category: Data-Driven Marketing
  • Category: Data-driven organization

Introduction to Data Science and Engineering

Course 2 • 30 hours • 4.3 (33 ratings)

Course Details

What you’ll learn

In this course, you will learn that data has become the central asset in business today. With the rise of big data and the development of new technologies, organizations from all over the world are innovating and finding new ways to analyze the potential of the data they hold, which helps in growth, profitability, managing overall operations, and increasing customer satisfaction.

But in order for all of this to work properly and for the potential to be realized accurately and in a way that is applicable to the business, the field of data science was established.

At the end of the course, you will be able to understand the entire data science process and the use of technology in the connected world, understand the full scope of data science and engineering, and be familiar with the key methodologies in data science projects.

The course includes four modules, which are presented in study weeks. Each module includes videos, readings, and tests to learn the information. At the end of each module there is a knowledge test.

We are very happy to have you in this course and hope you will get the most out of the concepts presented here.

Fun studies!

Skills you will acquire

  • Category: Big Data
  • Category: Data Science
  • Category: Data Engineering
  • Category: Data Mining
  • Category: Artificial Intelligence

Data Science Tools: Introduction to R

Course 3 • 0 minutes

Course Details

What you’ll learn

Welcome to the course “Data Science Tools: Introduction to R.” In this course, you will learn that the world has evolved a lot when it comes to making data-driven decisions. It is no longer possible to compare the amount of information we are exposed to today with what was available to us a few decades ago.

Basically, data science strives to find innovative ways to analyze and drive growth in businesses, and therefore, many tools have been adopted on the market designed to process data, perform advanced analyses, and facilitate the decision-making process.

At the end of the course, you will be able to familiarize yourself with the main tools on the market and learn the basics of the R language and how to use it in your daily life. The course includes the main topics:

  • Data science tools
  • Introduction to the R programming language
  • Using a development environment
  • Installing and using libraries in R
  • Writing functions in R
  • Writing, reading, and manipulating data
  • Graphical analyses

Fundamentals of Artificial Intelligence in Marketing

Course 4 • 27 hours

Course Details

What you’ll learn

Welcome to the course “Fundamentals of Artificial Intelligence in Marketing.” The reason this shift has become so important is that organizations are re-strategizing how they serve their customers’ needs, and how those customers interact with the companies’ services and offerings, whether through mobile devices, the Internet of Things, or other devices.

In this course, you will learn about digital transformation in marketing, from history to the present day.

At the end of the course, you will be able to apply topics such as:

  • Digital transformation
  • Brand culture
  • Customer experience
  • Marketing strategies
  • Creating a culture of innovation with an emphasis on marketing

The course includes four modules, which are presented in study weeks. Each module includes videos, readings, and tests to learn the information. At the end of each module, there is a knowledge test.

We are very happy to have you in this course and hope you will get the most out of the concepts presented here.

Fun studies!

Skills you will acquire

  • Category: Machine Learning
  • Category: Artificial Intelligence
  • Category: Data-driven marketing