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Microsoft Office 365: 2018 Feature Updates
$99.00By the end of this course, users should be comfortable using the new features released in 2018 for the desktop version of Microsoft Office 365, including features of Microsoft Word, Excel, PowerPoint, Outlook, Access, and Visio. -
Introduction to Microsoft Power BI: Working with Data
$99.00In this course you will learn how to transform and sanitize data, use the Query Editor, model data, and manage relationships. -
Introduction to Microsoft Power BI: Introduction to the Power BI Web App
$99.00In this course you will learn how to use the Power BI web app, connect to data sources from the Power BI app, and se workspaces, dashboards, reports, and other Power BI app features. -
Cannabis and the Workplace
$99.00In this course, you are going to learn about cannabis, its effects on the individual, and the potential impact in the workplace. You will consider medical cannabis, the rights and obligations of employees and employers, and the intervention process as you deal proactively by having a comprehensive drug and alcohol policy. -
Diversity Training: Celebrating Diversity in the Workplace
$99.00In this course, you will learn what diversity means and what some of its related terms are. You’ll also consider how your world has changed and how stereotypes impact people. Then, you’ll learn how to use the four cornerstones of diversity and the STOP technique to encourage a diverse workplace. You will also learn how to manage for diversity and deal with discrimination issues. -
Microsoft 365 Outlook Part 1: Managing Your Messages
$99.00Manage messages using tags, flags, and other commands, and organize messages using folders. -
Lean Process Improvement
$99.00This course will teach you the foundations of Lean through the Toyota precepts and the five critical improvement concepts (value, waste, variation, complexity, and continuous improvement). Then, you will learn about tools to perform continuous improvement in your organization, including 5S, 5W-2H, PDSA, DMAIC, Kaizen, Genchi Genbutsu, and Lean data mapping methods.