Organizing Business Data with Data Modeling
Modeling data can help businesses better organize and access data. Organizations rely on various kinds of data, including Big Data, to fully understand their business. To do so, they need that data to be easy to access and understand. Data modeling plays a critical role in both of these.
In this course, you’ll learn about the characteristics of data modeling, and the common styles and types of data models used. You’ll find out how the three levels of data modeling can provide a detailed blueprint of a company’s data. And you’ll also learn about common strategies for building data models, and how doing so improves an organization’s daily operations.
0.4 Hours
- Organizing Business Data with Data Modeling
- Identify the characteristics of data modeling
- Recognize the ways in which data modeling enhances business operations
- Identify the basic tasks in modeling data
- Identify the common types of data models
- Recognize the differences between the three styles of data modeling
- Identify common strategies for building data models
- Knowledge Check: Data Modeling
Turning Social Intelligence into Actionable Insight
Using social intelligence (SI) is not just about recording the number of likes, retweets, or followers you have on your various social media outlets. True social intelligence involves using the vast amount of raw, real-time data you have at your disposal and converting it into practicable insights to improve customer relationships.
In this course, you’ll learn about the benefits of social intelligence to your organization’s performance. You’ll explore how to monitor social media, as well as common sources of social media data. Finally, you’ll discover best practices for analyzing that data, common mistakes to avoid, and ways to use social-awareness strategies that deliver real business value.
0.4 Hours
- Turning Social Intelligence into Actionable Insight
- Recognize the business benefits of utilizing social intelligence
- Recognize characteristics of effective social media monitoring programs and services
- Recognize common sources for gathering social intelligence insight and key benefits of each
- Identify best practices for effective social intelligence analysis and insight
- Recognize challenges of social analytics
- Recognize ways to use social intelligence findings to make effective business decisions
- Knowledge Check: Utilizing Social Intelligence
Harnessing the Power of Data Science for Business Growth
Data science involves using scientific analysis, tools, and mathematics to extract useful insight from raw data, and then applying that knowledge for effective business strategy. Increasingly, companies are turning to data science. They can use scientific analysis, tools, and mathematics to extract useful insight from Big Data, to guide their decisions and drive business improvements.
In this course, you’ll learn about the characteristics and key elements of data science, and its potential benefits for organizations. You’ll also learn what skill sets are required on a data management team, best practices for extracting useful, actionable insights from data, and common challenges organizations face in using data science.
0.4 Hours
- Harnessing the Power of Data Science for Business Growth
- Recognize characteristics of data science
- Recognize the ways data science can increase business value
- Distinguish between the three key aspects of data science
- Recognize the required skillsets for effective data science
- Identify best practices for extracting useful insights from your data
- Identify common challenges organizations face in data science
- Knowledge Check: Utilizing Data Science
Making Data-driven Decisions
Organizations around the world are now realizing the many advantages of using data to overhaul their business strategies and gain a competitive edge. However, data-driven decision making doesn’t mean you have to ignore your intuition or past experience. In fact, when used in combination with business acumen, data-driven decisions can be a powerful tool for change.
In this course, you’ll learn about the benefits of making decisions with data as the basis of your choice. You’ll explore best practices for taking a balanced approach to decisions that don’t rely on a single perspective. And you’ll also learn how to avoid common mistakes associated with using data to inform decisions.
0.4 Hours
- Making Data-driven Decisions
- Identify the benefits of data-driven decision making
- Recognize the questions to ask when thinking critically about data
- Identify how to create a data-driven decision-making culture at an organization
- Identify the steps of a data-driven decision-making process
- Identify key best practices for data-driven decision making
- Describe how to avoid common mistakes in data-driven decision making
- Knowledge Check: Data-driven Decision Making
Big Data Fundamentals
You’ve probably heard of big data, but what exactly is it, and how can it be used to give your organization a competitive advantage? In this course you’ll learn about the key characteristics of big data, the benefits it can provide, and the types of data it incorporates. You’ll also be introduced to the different ways it can be applied, depending on your market sector.
This course also covers some fundamental security challenges of big data and some best practices for managing big data through an effective information lifecycle.
0.4 Hours
- Recognize the key characteristics of big data
- Identify the benefits of big data to organizations
- Distinguish between the two types of data source in big data
- Recognize applications of big data by market sector
- Identify best practices for securing big data
- Recognize the phases of the data life cycle
Big Data Interpretation
Using big data can lead to significant gains for your organization. Managing big data effectively can lead to lower operating costs, better decision making, and innovative new product development.
Dealing with big data means utilizing big data technologies to identify, gather, and analyze data sets and develop big data strategies that reap benefits for your organization. In this course, you’ll learn about the data analysis process. You’ll be introduced to the most common basic and advanced analytics methods, including data mining.
You’ll also learn about some of the most common big data tools and their associated uses, and some challenges to keep in mind when undertaking big data analysis activities in your organization.
0.4 Hours
- Sequence the five steps of the data analysis process
- Identify the four data analysis categories
- Recognize basic data analysis methods
- Recognize advanced data analysis methods
- Recognize some of the most common big data tools used for data storage, management, cleaning, and mining activities
- Recognize some of the most common big data tools used for data analysis, visualization, integration, and collection activities
- Identify the challenges associated with big data analysis
Being a Responsible Corporate Digital Citizen
Security risks are high online and businesses need flexibility to adapt to change if they are going to navigate online interactions safely. Staying current on digital innovation and security guidelines ensures your company’s resilience against threats to secure data management.
This course will explore some responsibilities when interacting in an online world so you can become a good corporate digital citizen and reduce your data security risk
0.4 Hours
- Identify the rules of etiquette you should follow to be a good corporate digital citizen
- Identify your rights and responsibilities as a corporate digital citizen
- Identify ways individuals can maintain company safety and security online
- Identify the tenets of consumer-managed data
- Identify the steps an organization can take to move toward contextual data privacy
- Knowledge Check: Contributing as a Digital Citizen
Killer Marketing with Big Data
Professional marketers today have unprecedented access to customer data and complex data sets. By using Big Data technologies and analytical tools, they can gather insights about their target markets through things like website traffic, e-mail marketing, and social media activity.
And they can glean incredibly useful information from dealing with Big Data to help drive effective operational marketing strategy.
In this course, you’ll learn about the characteristics of Big Data, the benefits of managing Big Data for marketing purposes, the key challenges associated with using Big Data, and the best practices for data storage and handling methods. The course also covers considerations when implementing Big Data strategies.
0.3 Hours
- Identify the characteristics of big data that are valuable for strategic marketing
- Recognize the benefits and value of using big data for marketing strategy and activities
- Identify the key challenges of using big data effectively
- Distinguish between big data storage and handling best practices
- Identify effective methods and tools for analyzing big data for marketing activities
- Knowledge Check: Using Big Data for Marketing Value
Finding the Quality in Your Data
Successful data management in the age of big data is a challenge. Applying data quality best practices while making adjustments and optimizations can help your organization meet its business goals.
In this course, you’ll learn about using data science in data quality management. You’ll learn how to determine the quality of data, challenges and solutions for gathering quality data, and how to assess the value of data.
0.3 Hours
- Identify the key characteristics that define quality data
- Recognize the advantages of identifying smart data within big data sets
- Identify the steps for creating a business case for the use of quality data
- Recognize the challenges for effectively gathering quality data and ways to mitigate them
- Recognize the benefits of assessing your data quality
- Knowledge Check: Determining the Quality of Your Data
Exploring Data Visualization
The business world is full of data. Using this data strategically presents a company with serious competitive advantages. The tricky part is making sense of the data and then communicating what it means. Data visualization (or data viz, for short) provides actionable insights out of what can be complex sets of data.
In this course, you’ll learn the considerations for creating data visualizations and how to relay your message using data visualization tools. You’ll learn how to communicate clearly using data visualizing techniques.
And you’ll gain insight into how to use key design best practices to ensure your visualizations are clearly and accurately telling the story you want them to.
0.4 Hours
- Exploring Data Visualization
- Recognize the benefits of data visualization
- Identify key considerations for choosing a software tool to create data visualizations
- Identify the best practices for communicating clearly with data visualizations
- Distinguish between the purpose of different types of data visualizations
- Identify key design best practices for data visualizations
- Describe how to avoid creating data visualizations that are misleading
- Knowledge Check: Data Visualization