Data for Skillsoft Marketing

Dealing with large amounts of data is essential to any modern business and to become a data-driven organization, leaders and decision-makers must establish a deeply ingrained data culture. Use this course to understand the underlying principles of analyzing data and get familiar with terms related to data in order to properly deliver data-related projects. This course will help you identify the basic concepts and processes related to data analysis, modern data sources, and data pipelines. You'll also discover fundamental principles of data storage, migration, and integration, along with common methods for data visualization and reporting. Having completed the course, you'll be well versed in foundational concepts of data, related terminologies, and various data processing methods.

Big data analytics has become an essential part of any business dealing with the digital world. The ability to collect large amounts of data and turn it into insights has transformed the world's business landscape. To properly manage projects using such technologies, leaders should at least have a foundational understanding of big data. Use this course to get to grips with the necessary concepts and terminologies you'll need when discussing big data projects. Learn about the primary sources and characteristics of big data. Then, dive into the world of big data analytics - exploring its main advantages, use cases, and significant challenges. When you've finished this course, you'll be able to speak about data-related projects, discussing relevant data infrastructures and architectures confidently.

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.

This is a recorded Replay of the Data Literacy for All Live session that ran on June 7 at 11 AM ET.

This is a recorded Replay of the Understanding Bias in Data Live session that ran on September 29th at 11 AM ET. In this session, Dr Ruha Benjamin, Associate Professor of African American Studies, Princeton University presents her keynote.

Enterprises increasingly rely on analytics for effective decision-making, optimization, and innovation, resulting in an increased demand for an analytically literate workforce. This course covers the benefits of building your analytics literacy, as well as techniques for doing so. This course also covers some common analytics pitfalls, and best practices for supporting effective analytics practices in your organization. This course was developed with subject matter provided by the International Institute for Analytics. (www.iianalytics.com)

Get acquainted with Salesforce Lightning. Discover how to sign in to your account, navigate and customize the interface, edit your personal information, link with your Twitter account, and create a new list view.

Properly managing sales data is vital to making a profit. Discover how to use Salesforce to create reports; manage leads; import leads, accounts, and contacts; export data; and delete records.

Microsoft Excel has many potential applications, offering extensive, customizable features to suit virtually all tasks and workflows. At first, Excel can be intimidating, but the benefits of knowing how to eke out every bit of this tool's productivity far outweigh the slight learning curve. In this course, you'll learn how to set up Excel, identify and choose an Excel template, locate and recognize the purpose of each primary menu item group in the Quick Access Toolbar, and apply customization to this toolbar. Next, you'll execute basic cell operations, such as copy-pasting data and inserting and deleting rows and columns. You'll and apply a range of cell formatting options, such as alignment, font, and currency formats. Finally, you'll import delimited and fixed-width data and work with Excel's Flash Fill functionality.

One of the primary purposes of using Excel is to analyze and present data in a focused, accessible, and accurate way. A great way to do this is with charts and sparklines. In this course, you'll create basic chart types, such as line, bar, and pie charts, as well as more advanced charts, like treemaps and sunburst charts. In doing this, you'll work with the different aspects of Excel's chart customization capabilities, from chart element transparency to the orientation and exploding out of slices in a pie chart. Next, you'll advance to use more statistically-oriented chart types, including histograms, scatter plots, and box-and-whisker plots. Finally, you'll learn to create, customize, and work with Excel's sparklines, which are lightweight visualizations usually contained within a single cell.

Conditional formatting is a significant and powerful feature in Excel. In this course, you'll begin by using some of the more straightforward types of conditional formattings, such as those based on specific values or ranking. You'll then use the more visually appealing types of conditional formatting, such as data bars, icon sets, and color scales, before advancing to more complex custom formatting rules using worksheet functions and a cell's row and column information. Additionally, you'll distinguish the purpose of notes versus comments and how to work with them both. Finally, you'll learn to use built-in styles and themes, create custom styles and themes and export them for use in other Office 365 products, such as PowerPoint, to apply a uniform look-and-feel to all your spreadsheets and presentations.

Excel is not only used for aggregating and analyzing data, but also for data cleansing. There are several data cleaning, validation, and checking techniques available, some of which are among Excel's most well-known and widely-used functions. In this course, you'll start by using various string and data manipulation functions to clean data and fill in missing values. Next, you'll perform simple data validation based on specific numeric thresholds and text lengths, before moving on to validation using lists. You'll then combine data validation to implement a formidable, dynamic data validation mechanism using named ranges and the INDIRECT formula. Finally, you'll use one-dimensional lookups - the classic HLOOKUP and VLOOKUP worksheet functions - as well as more complex, two-dimensional lookups utilizing a combination of INDEX and MATCH.

Generally speaking, the ultimate goal of analyzing data is to be able to communicate any interesting relationships that you have found. In this 10-video course, learners will discover how Tableau's analysis tools can further data analysis and communicate those relationships. Share your findings by observing how to create dashboards with interactive tools and exploring data. Begin by using Explain data to inspect, uncover, and evaluate marks in a visualization [viz] while building, exploring, and analyzing data. Next, examine how to display multiple diversified measures on multiple rows by using Tableau Desktop; create Tableau dashboards to bring visualizations together and create interactive applications; and configure dashboard layouts to support different types of devices. This leads into creating parameters and applying filtering in Tableau; performing total calculations to summarize data for analytics; embedding visualizations within tooltips, and adding dashboard extensions and using them in dashboard layouts. Conclude the course by learning how to export Tableau data to a CSV [comma separated values] or database file, and how to highlight data to provide descriptions for dashboard elements.

Tableau is a data visualization tool suitable for a variety of purposes and situations. Knowing the basics of this tool will help you share necessary data with stakeholders and peers in a meaningful and engaging way. This course will introduce you to Tableau's basic features and cover the fundamental operations performed with this tool. You'll start by loading data into Tableau using a variety of file types. You'll then apply transformations to your data and choose the most appropriate visualization for it. Next, you'll learn how to analyze data in multiple related tables as well as data categories. You'll then practice setting the aesthetics of charts and garnering detailed information through chart interactions. Lastly, you'll get hands-on with the Tableau data interpreter to clean a dataset.

This is a recorded Replay of the Data Literacy for All Live session that ran on June 8 at 11 AM ET.

High-performing enterprises employ purpose-based data sourcing to effectively address well-framed business opportunities. In this course you'll learn how to identify, scope, and validate data for effective decision making. This course was developed with subject matter provided by the International Institute for Analytics. (www.iianalytics.com)

This is a recorded Replay of the Data Literacy for All Live session that ran on June 9th at 11 AM ET.

In this 10-video course, learners can explore the concept of storytelling with data, including processes involved in storytelling and interpreting data contexts. You will explore prominent types of analysis, visualizations, and graphics tools useful for storytelling. Become familiar with various processes: storytelling with analysis, and its types; storytelling with visualization; and storytelling with scatter plots, line charts, heat maps, and bar charts. Popular software programs are also used: d3.js (Data-Drive Document), WebDataRocks, Birt, Google Charts, and Cytoscape. Users of storytelling include three types: strategists, who actually build strategy for story making; developers or designers, who often use videos, images, infographics to create experience architecture; and marketers or salespeople, who uses different modes including visual social networks, calendaring, messaging in visual form, digital signage, UGC or employee advocacy, story selling, live streaming, or data storytelling. A concluding exercise asks learners to recall elements of storytelling context; specify types of analysis used to facilitate storytelling with data; list prominent visualizations used to facilitate storytelling with data; and list prominent graphical tools useful for data exploration.

Does your job require you to communicate critical information to c-suite executives, such as the Chief Executive Officer (CEO)? Perhaps you have opportunities to influence executive decision making, but don't know how best to deliver your message. In order to make the most of your communication with senior executives, you need to be prepared. In this course, you'll learn how to shape your message so it's communicated clearly to your organization's c suite. You'll discover how to build your credibility with those at the senior level, such as the CFO, CIO, and COO. And you'll explore how to approach and plan meetings with senior executives, and how to make your case - whether it's with an elevator pitch or a formal report.

Most organizations depend on data visualization to help drive business decisions. Using the correct charts and graphs helps communicate the right information and identify patterns and trends within your data. You'll begin this course by identifying the importance of data visualization and its application in curating data that is easy to digest, understand, and interpret. Next, you'll discover best practices for visualizing data and the significance of creating user-centered visuals. You'll then explore different presentation types such as comparison, composition, distribution, trends, and relationship, and learn how to map your charts to these categories. Finally, you'll investigate the use cases for popular charts such as line charts, pie charts, histograms, scatter plots, and others. You'll also recognize when to use specialized charts such as Gantt charts, sunburst charts, and Sankey diagrams.

This is a recorded Replay of the Data Literacy for All Live session that ran on June 10th at 11 AM ET.

This is a recorded Replay of the Data Visualization and Storytelling Live session that ran on September 6th at 11 AM EST.

This is a recorded Replay of the Data Visualization and Storytelling Live session that ran on September 7th at 11 AM ET.

This is a recorded Replay of the Data Visualization and Storytelling Live session that ran on September 8th at 11 AM ET.

This is a recorded Replay of the Data Visualization and Storytelling Live session that ran on Sept 9th at 11 AM ET.