Business Intelligence and Visual Analytics from Coursera

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Syllabus

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.

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.

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.

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 peer reviewing other’s dashboards.

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Know what's good

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Provides a comprehensive study of data visualization and analytics tools

Utilizes an industry-standard tool, SAS Viya, for hands-on practice

Taught by an experienced instructor, Tim Carrington

Covers advanced topics such as machine learning and cloud architecture

Builds a strong foundation for beginners in data visualization and analytics

Suitable for professionals seeking to enhance their data visualization skills

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Business Intelligence and Visual Analytics with these activities:

Review basic data mining and warehousing concepts

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Reinforces understanding of preliminary concepts in the course.

Browse courses on Data Warehousing

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Review lecture notes and textbook readings from previous courses
Complete online tutorials or exercises on data mining and warehousing

Participate in online discussion forums

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Engages students with course material and peers, fostering a collaborative learning environment.

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Join online discussion forums related to the course
Post questions, share insights, and engage in discussions

Practice creating data visualizations using SQL

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Provides hands-on experience in creating visualizations, a core skill of the course.

Browse courses on Data Visualization

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Install a SQL database management system
Import sample data into the database
Write SQL queries to extract and visualize data

Four other activities

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Explore advanced features of SAS Viya

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Enhances proficiency in using SAS Viya, the primary tool used in the course.

Browse courses on SAS Viya

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Review online documentation and tutorials on SAS Viya
Experiment with different features and functions
Apply advanced techniques to real-world data analysis tasks

Attend a workshop on data visualization best practices

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Provides exposure to industry best practices and expert insights in data visualization.

Browse courses on Data Visualization

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Identify and attend workshops on data visualization
Take notes and actively participate in discussions

Build a dashboard visualizing a real-world dataset

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Applies skills in visualizing and interpreting data, a central objective of the course.

Browse courses on Data Visualization

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Identify a relevant dataset
Clean and prepare the data for visualization
Select appropriate visualization techniques
Create an interactive dashboard using SAS Viya
Present and discuss insights derived from the dashboard

Contribute to open-source data visualization projects

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Provides practical experience in applying data visualization skills and contributing to the community.

Browse courses on Data Visualization

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Identify open-source data visualization projects
Review project documentation and codebase
Identify areas where contributions can be made
Develop and submit code contributions

Career center

Learners who complete Business Intelligence and Visual Analytics will develop knowledge and skills that may be useful to these careers:

Data Scientist

A Data Scientist uses data to build models that can predict future outcomes. This course may be useful for Data Scientists as it provides a foundation in data visualization and visual analytics, which are essential skills for understanding and communicating data insights. The course also covers advanced topics such as machine learning and cloud-based architectures, which are essential for building and deploying data science models.

See salaries and explore the career path for Data Scientist

Statistician

A Statistician collects, analyzes, and interprets data to provide insights into a variety of topics. This course may be useful for Statisticians as it provides a foundation in data visualization and visual analytics, which are essential skills for communicating data insights to non-technical audiences. The course also covers advanced topics such as machine learning and cloud-based architectures, which are becoming increasingly important in the field of statistics.

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Business Intelligence Analyst

A Business Intelligence Analyst uses data to help businesses make better decisions. This course may be useful for Business Intelligence Analysts as it provides a comprehensive overview of data visualization and visual analytics, which are essential skills for communicating data insights to non-technical audiences. The course also covers advanced topics such as machine learning and cloud-based architectures, which are becoming increasingly important in the field of business intelligence.

See salaries and explore the career path for Business Intelligence Analyst

Operations Research Analyst

An Operations Research Analyst uses data to improve the efficiency and effectiveness of business operations. This course may be useful for Operations Research Analysts as it provides a foundation in data visualization and visual analytics, which are essential skills for understanding and communicating data insights to non-technical audiences. The course also covers advanced topics such as machine learning and cloud-based architectures, which are becoming increasingly important in the field of operations research.

See salaries and explore the career path for Operations Research Analyst

Actuary

An Actuary uses data to assess risk and uncertainty. This course may be useful for Actuaries as it provides a foundation in data visualization and visual analytics, which are essential skills for understanding and communicating risk and uncertainty. The course also covers advanced topics such as machine learning and cloud-based architectures, which are becoming increasingly important in the field of actuarial science.

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Risk Manager

A Risk Manager uses data to identify, assess, and manage risk. This course may be useful for Risk Managers as it provides a foundation in data visualization and visual analytics, which are essential skills for understanding and communicating risk to non-technical audiences. The course also covers advanced topics such as machine learning and cloud-based architectures, which are becoming increasingly important in the field of risk management.

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Forensic Accountant

A Forensic Accountant uses data to investigate financial crimes. This course may be useful for Forensic Accountants as it provides a foundation in data visualization and visual analytics, which are essential skills for understanding and communicating financial data. The course also covers advanced topics such as machine learning and cloud-based architectures, which are becoming increasingly important in the field of forensic accounting.

See salaries and explore the career path for Forensic Accountant

Market Researcher

A Market Researcher collects and analyzes data to understand consumer behavior and market trends. This course may be useful for Market Researchers as it provides a foundation in data visualization and visual analytics, which are essential skills for understanding and communicating market research insights. The course also covers advanced topics such as machine learning and cloud-based architectures, which are becoming increasingly important in the field of market research.

See salaries and explore the career path for Market Researcher

Compliance Officer

A Compliance Officer ensures that a company complies with laws and regulations. This course may be useful for Compliance Officers as it provides a foundation in data visualization and visual analytics, which are essential skills for understanding and communicating compliance data. The course also covers advanced topics such as machine learning and cloud-based architectures, which are becoming increasingly important in the field of compliance.

See salaries and explore the career path for Compliance Officer

Data Protection Officer

A Data Protection Officer ensures that an organization complies with data protection laws and regulations. This course may be useful for Data Protection Officers as it provides a foundation in data visualization and visual analytics, which are essential skills for understanding and communicating data protection policies and procedures. The course also covers advanced topics such as machine learning and cloud-based architectures, which are becoming increasingly important in the field of data protection.

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Data Governance Analyst

A Data Governance Analyst develops and implements policies and procedures for managing data. This course may be useful for Data Governance Analysts as it provides a foundation in data visualization and visual analytics, which are essential skills for understanding and communicating data governance policies and procedures. The course also covers advanced topics such as machine learning and cloud-based architectures, which are becoming increasingly important in the field of data governance.

See salaries and explore the career path for Data Governance Analyst

Financial Analyst

A Financial Analyst uses data to evaluate investments and make financial recommendations. This course may be useful for Financial Analysts as it provides a foundation in data visualization and visual analytics, which are essential skills for understanding and communicating financial data. The course also covers advanced topics such as machine learning and cloud-based architectures, which are becoming increasingly important in the field of financial analysis.

See salaries and explore the career path for Financial Analyst

Data Engineer

A Data Engineer builds and maintains the infrastructure that supports data analysis and data science. This course may be useful for Data Engineers as it provides a foundation in data visualization and visual analytics, which are essential skills for understanding and communicating data needs and requirements. The course also covers advanced topics such as cloud-based architectures, which are becoming increasingly important in the field of data engineering.

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Privacy Analyst

A Privacy Analyst assesses an organization's privacy risks and develops strategies to mitigate those risks. This course may be useful for Privacy Analysts as it provides a foundation in data visualization and visual analytics, which are essential skills for understanding and communicating privacy risks and strategies. The course also covers advanced topics such as machine learning and cloud-based architectures, which are becoming increasingly important in the field of privacy.

See salaries and explore the career path for Privacy Analyst

Data Analyst

A Data Analyst is responsible for collecting, cleaning, and analyzing data to identify trends and patterns. This course may be useful for Data Analysts as it provides a foundation in data visualization and visual analytics, which are essential skills for understanding and communicating data insights. The course also covers advanced topics such as machine learning and cloud-based architectures, which are becoming increasingly important in the field of data analysis.

See salaries and explore the career path for Data Analyst

Business Intelligence and Visual Analytics

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