Business Intelligence and Visual Analytics (Coursera)

Business Intelligence and Visual Analytics (Coursera)

Building on “Data Warehousing and Business Intelligence,” this course focuses on data visualization and visual analytics. Starting with a thorough coverage of what data visualization is and what type of visualization is good for a given purpose, the course quickly dives into development of practical skills and knowledge about visual analytics by way of using one of the most popular visual analytics tools: SAS Viya, a cloud-based analytics platform. An overview of cloud architecture, automation, and machine learning is also provided.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

What You Will Learn

  • Identify best practices for building data visualizations
  • Develop hands-on data visualization skills using SAS Viya
  • Explain advanced topics in business intelligence and data warehousing, such as cloud architecture, automation, and machine learning

Course 3 of 3 in the Database Design and Operational Business Intelligence Specialization.

Syllabus

WEEK 1
Data Visualization and Visual Analytics
Welcome to Module 1, Data Visualization and Visual Analytics. In this model, we will go over the need for data visualization in business reporting. We will identify the benefits of data visualization as well as differentiate between types of data visualizations. We will also overview visual analytics and the landscape of visual analytics tools. Finally, in our activity, we will describe an effective visualization and how to derive value and insight based on available data points.

WEEK 2
Visual Analytics Basics and SAS Viya Platform
Welcome to Module 2, Visual Analytics Basics and SAS Viya Platform. This module provides an introduction to SAS Visual Analytics and SAS Viya. Through this module, we will identify the phases and select the features of SAS Visual Analytics. In our activity, we will identify the types of reports that could be useful for specific datasets. We will also describe the import process for datasets in SAS Data studio.

WEEK 3
Developing Advanced Visualizations with SAS Viya
Welcome to Module 3, Developing Advanced Visualizations with SAS Viya. Through this module, we will go over how to use SAS Viya to create data visualizations. We will identify key features and functions of SAS Visual Analytics. We will also learn key functions in SAS and be able to differentiate between their functionalities. Finally, in our activity, we will create interactive data reports and describe the value and insights that can be derived from data reports.

WEEK 4
Advanced Business Intelligence and Data Warehousing Topics
Welcome to Module 4, Advanced Business Intelligence and Data Warehousing Topics. In this final module, we will define machine learning, identify the key enablers of big data, and list the advantages of cloud-based architectures. Our course (and specialization) culminates in this module’s graded assignment. In it, we will design and implement a dashboard in SAS Visual Analytics, tell a cohesive story through data, and derive insights from interaction on a visualization dashboard. We will also practice our new skills in visual analytics by

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Automation for Business (Coursera) Coursera
Starweaver

Automation for Business (Coursera)

"Automation for Business" is a dynamic 90-minute online course designed to empower learners with the knowledge and skills needed to harness the transformative power of automation in today's business environment. This course caters to a diverse audience, from beginners to intermediate-level professionals, seeking a comprehensive understanding of automation concepts, tools, and strategies. By examining real-world examples, participants will gain actionable insights to drive efficiency and innovation within their organizations.

Aug 17th 2026
1 Week
Gen AI for Code Generation for Python (Coursera) Coursera
Edureka

Gen AI for Code Generation for Python (Coursera)

Welcome to the 'Gen AI for Code Generation for Python' course, where you'll embark on a journey to explore and develop your skills in the art of code generation with Generative AI. Throughout this short course, you will delve into various techniques for generating Python code effortlessly, ranging from simple scripts to complete end-to-end projects.

Aug 17th 2026
1 Week
Remote Sensing Image Acquisition, Analysis and Applications (Coursera) Coursera
UNSW Sydney - University of New South Wales

Remote Sensing Image Acquisition, Analysis and Applications (Coursera)

Welcome to Remote Sensing Image Acquisition, Analysis and Applications, in which we explore the nature of imaging the earth's surface from space or from airborne vehicles. This course covers the fundamental nature of remote sensing and the platforms and sensor types used. It also provides an in-depth treatment of the computational algorithms employed in image understanding, ranging from the earliest historically important techniques to more recent approaches based on deep learning.

Aug 17th 2026
13-24 Weeks
Snowflake - SnowPro Core Certification Preparation (Coursera) Coursera
Board Infinity

Snowflake - SnowPro Core Certification Preparation (Coursera)

"Snowflake - SnowPro Core Certification Preparation" is a comprehensive course meticulously crafted to guide learners through the essentials of Snowflake, preparing them for the SnowPro Core Certification. Spanning three modules, the course begins with the fundamentals of Snowflake, exploring its architecture, data loading, and modeling. The second module delves into operational and management aspects, including account management, performance optimization, and security.

Aug 17th 2026
3 Weeks
Deep Learning Applications for Computer Vision (Coursera) Coursera
University of Colorado Boulder

Deep Learning Applications for Computer Vision (Coursera)

This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics.

Aug 17th 2026
5-12 Weeks
Cadeia de Suprimentos na Nuvem (Coursera) Coursera
FIA Business School

Cadeia de Suprimentos na Nuvem (Coursera)

Nossas boas-vindas ao Curso Cadeia de Suprimentos na Nuvem. Neste curso, você aprenderá como o supply chain pode ampliar o valor da empresa explorando as diversas ferramentas disponíveis em cloud para potencializar a visibilidade e a responsividade da cadeia, melhorando o nível de serviço prestado aos clientes.

Aug 17th 2026
5-12 Weeks
Fundamentals of Machine Learning in Finance (Coursera) Coursera
New York University Tandon School of Engineering

Fundamentals of Machine Learning in Finance (Coursera)

The course aims at helping students to be able to solve practical ML-amenable problems that they may encounter in real life that include: (1) understanding where the problem one faces lands on a general landscape of available ML methods, (2) understanding which particular ML approach(es) would be most appropriate for resolving the problem, and (3) ability to successfully implement a solution, and assess its performance.

Aug 17th 2026
4 Weeks
People, Technology and the Future of Mobility (Coursera) Coursera
University of Michigan

People, Technology and the Future of Mobility (Coursera)

Welcome to the People Technology & Future of Mobility course! This course provides a lay-person’s introduction to some of the major technological innovations currently underway in the mobility space and asks learners to apply a variety of social science concepts to understand the likely social impacts of these technologies. The course is appropriate for learners from all backgrounds and does not require prior training in engineering or social science.

Aug 17th 2026
5-12 Weeks
Machine Learning Introduction for Everyone (Coursera) Coursera
IBM

Machine Learning Introduction for Everyone (Coursera)

This three-module course introduces machine learning and data science for everyone with a foundational understanding of machine learning models. You’ll learn about the history of machine learning, applications of machine learning, the machine learning model lifecycle, and tools for machine learning. You’ll also learn about supervised versus unsupervised learning, classification, regression, evaluating machine learning models, and more.

Aug 17th 2026
3 Weeks
Introduction to Image Generation (Coursera) Coursera
Google Cloud

Introduction to Image Generation (Coursera)

This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.

Aug 17th 2026
3 Weeks