We may earn an affiliate commission when you visit our partners.

Data

Executive Briefing

We all work with data — but often don’t consider the big picture around it. In this fast-paced, practical introduction, quickly get up to speed on multiple ideas, tools and technologies around “data” in the business world today.

These days, every business role needs to understand the core ideas, tools and technologies their organizations rely on. This course, Data: Executive Briefing, is a fast-paced, practical, and pragmatic introduction to multiple ways to work with (and think about) data. First, we’ll quickly see how “data” differs from other terms like “information”, “knowledge” — or even “wisdom”. Next, we’ll get clear on the most important jargon and terminology, including “Big Data”, data silos and data warehouses, working with structured and unstructured data, and more. When you’re finished with this course, you’ll recognize the various — and sometimes unpredictable — ways that data can add value to your product, team, or organization.

Enroll now

Or start your subscription today

And complete this course over a free trial

What's inside

Syllabus

Data: Executive Briefing

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Offers a fast-paced and practical introduction to data-centric concepts, tools, and technologies

Delves into various facets of data, including 'Big Data,' data silos, and data warehouses

Explores the distinction between 'data' and related terms like 'information' and 'knowledge.'

Provides insights into how data can add value across different business contexts

Applies to any business role requiring an understanding of data-related concepts and tools

Save this course

Save Data: Executive Briefing to your list so you can find it easily later:

Save

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 Data: Executive Briefing with these activities:

Review basic statistics and probability concepts

Show steps

Strengthen your foundation in statistics and probability to enhance your understanding of data analysis and interpretation.

Browse courses on Statistics

Show steps

Review lecture notes or textbooks on basic statistics and probability.
Complete practice problems to reinforce your understanding.

Identify potential mentors in the field of data analytics

Show steps

Seek guidance and support from experienced professionals to accelerate your learning and gain valuable industry insights.

Show steps

Attend industry events and conferences to network with data analytics professionals.
Reach out to individuals on LinkedIn or other professional networking platforms.
Inquire about their willingness to provide mentorship or guidance.

Review 'Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's Businesses' by Michael Minelli, Michelle Chambers, and Ambiga Dhiraj

Show steps

Equip yourself with the concepts and frameworks presented in this book to strengthen your understanding of data and analytics in business.

View Big Data, Big Analytics: Emerging Business... on Amazon

Show steps

Read the book thoroughly, taking notes and highlighting key points.
Summarize each chapter, capturing the main ideas and their relevance to the course.
Identify and explain the key terms and concepts introduced in the book.

Five other activities

Expand to see all activities and additional details

Show all eight activities

Complete online exercises on data analysis and visualization

Show steps

Enhance your data analysis and visualization skills through hands-on exercises, reinforcing the concepts covered in the course.

Browse courses on Data Analysis

Show steps

Identify and access online platforms or resources offering data analysis and visualization exercises.
Select exercises that align with the concepts covered in the course.
Complete the exercises, following the instructions and applying the techniques learned.
Review your results and identify areas for improvement.

Create a data dictionary for a specific business scenario

Show steps

Develop a structured and comprehensive data dictionary to enhance your understanding of data organization and management.

Show steps

Identify and define the business scenario and its data requirements.
Gather and analyze data from various sources to determine data elements.
Create a data dictionary template and populate it with data elements and definitions.
Validate and finalize the data dictionary for use in the business scenario.

Compile a list of resources on data governance and best practices

Show steps

Expand your knowledge of data governance and best practices by gathering resources that provide valuable insights and guidance.

Browse courses on Data Governance

Show steps

Conduct online research to identify articles, white papers, and industry reports on data governance.
Review the resources and select those that align with the course topics.
Organize and compile the resources into a comprehensive document or online repository.

Follow tutorials on advanced data manipulation techniques

Show steps

Expand your data manipulation skills by exploring advanced techniques through guided tutorials, enhancing your proficiency in data preparation and transformation.

Browse courses on Data Manipulation

Show steps

Identify online tutorials or resources that focus on advanced data manipulation techniques.
Select tutorials that align with your learning objectives and skill level.
Follow the tutorials step-by-step, implementing the techniques in a hands-on environment.
Practice applying the techniques to your own datasets.

Develop a data-driven presentation for a business stakeholder

Show steps

Showcase your ability to effectively communicate data insights to non-technical stakeholders, demonstrating your understanding of data-driven decision-making.

Browse courses on Data Presentation

Show steps

Identify a specific business scenario and collect relevant data.
Analyze the data and identify key insights and trends.
Create a presentation that visually represents the data and highlights the insights.
Practice delivering the presentation to an audience.

Career center

Learners who complete Data: Executive Briefing will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use a variety of statistical techniques and predictive models to turn raw data into useful insights that drive better decision-making. This course will help build a foundation for using these techniques such as regression analysis, clustering, and neural networks, while contextualizing these methods in a business setting.

See salaries and explore the career path for Data Scientist

Business Intelligence Analyst

Business Intelligence Analysts interpret data to identify trends and patterns that can help businesses make better decisions. This course will provide a strong foundation in the core concepts of data warehousing, data mining, and data visualization, giving you the skills you need to succeed in this role.

See salaries and explore the career path for Business Intelligence Analyst

Data Analyst

Data Analysts collect, clean, and analyze data to help businesses make informed decisions. This course will provide you with a foundation in data analysis techniques, including data mining, statistical analysis, and data visualization, helping you develop the skills you need to succeed as a Data Analyst.

See salaries and explore the career path for Data Analyst

Product Manager

Product Managers are responsible for the development and launch of new products and services. This course will provide you with the knowledge you need to understand the data that drives product development, helping you make better decisions about what products to build and how to market them.

See salaries and explore the career path for Product Manager

Marketing Analyst

Marketing Analysts use data to understand customer behavior and develop effective marketing campaigns. This course will provide you with the skills you need to collect, analyze, and interpret data, helping you make better decisions about how to reach your target audience.

See salaries and explore the career path for Marketing Analyst

Financial Analyst

Financial Analysts use data to make recommendations about investments and financial decisions. This course will provide you with the skills you need to collect, analyze, and interpret financial data, helping you make better decisions about how to invest your money.

See salaries and explore the career path for Financial Analyst

Operations Research Analyst

Operations Research Analysts use data to improve the efficiency and effectiveness of business operations. This course will provide you with the skills you need to collect, analyze, and interpret data, helping you make better decisions about how to streamline your operations.

See salaries and explore the career path for Operations Research Analyst

Actuary

Actuaries use data to assess risk and uncertainty. This course will provide you with the skills you need to collect, analyze, and interpret data, helping you make better decisions about how to manage risk.

See salaries and explore the career path for Actuary

Market Researcher

Market Researchers use data to understand customer behavior and develop new products and services. This course will provide you with the skills you need to collect, analyze, and interpret data, helping you make better decisions about how to reach your target audience.

See salaries and explore the career path for Market Researcher

Statistician

Statisticians use data to solve problems and make decisions. This course will provide you with the skills you need to collect, analyze, and interpret data, helping you make better decisions about how to solve problems in your field.

See salaries and explore the career path for Statistician

Database Administrator

Database Administrators are responsible for the day-to-day operation and maintenance of databases. This course will provide you with the skills you need to install, configure, and manage database systems, helping you ensure that your organization's data is secure and accessible.

See salaries and explore the career path for Database Administrator

Data Engineer

Data Engineers are responsible for building and maintaining the data infrastructure that supports data-driven decision-making. This course will provide you with the skills you need to design, build, and manage data pipelines, helping you ensure that your organization has the data it needs to succeed.

See salaries and explore the career path for Data Engineer

Software Engineer

Software Engineers are responsible for designing, developing, and maintaining software applications. While this course does not teach software development, it will provide you with a strong foundation in the core concepts of data management, which is essential for building data-driven applications.

See salaries and explore the career path for Software Engineer

Information Systems Manager

Information Systems Managers are responsible for planning, implementing, and managing information systems. This course may be useful for Information Systems Managers who want to develop a stronger understanding of the data that drives their organization's decision-making.

See salaries and explore the career path for Information Systems Manager

Business Analyst

Business Analysts help organizations identify and solve business problems. This course may be useful for Business Analysts who want to develop a stronger understanding of the data that drives their organization's decision-making.

See salaries and explore the career path for Business Analyst

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data: Executive Briefing.

Data Mining

Save

Provides a comprehensive guide to data mining, which is the process of extracting knowledge from data. It covers the basics of data mining, as well as advanced topics such as machine learning and data visualization.

Data

Executive Briefing

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

Share

Similar courses