Preparatory Labs

PM 100 is a non-credit lab, focused on project management essentials and tools. Students learn how to apply basic project management concepts aligned with the latest project management standards. Focus is on the Project Management Institute’s 7^th Edition of the Project Management Body of Knowledge (PMBOK® Guide), for which the instructor, Rich Maltzman, PMP, served on its Editorial Board. By completing PM 100 students will:

• Acquire some of the key ‘lingo’ that project managers use
• Engage in hands-on practice with a threaded, Boston-flavored, sustainability-oriented example case. Applying project management concepts to this case, attendees gain insight on how tools such as Microsoft Project Professional and key Microsoft Excel add-ins can be used in project, program, and/or portfolio management
• Finish with a working PM vocabulary, a boost in their ability to succeed in the project management courses at BU MET, in particular AD 642, Project Management

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Python for Business PY100, is a non-credit lab, offered in an instructor-led format, and at no charge to BU MET graduate students.

In PY100, attendees will learn how to understand basic Python techniques and write code to solve simple problems as this lab offers an introduction to the basics of Python with a focus on data analysis and finance.

After completing this self-paced laboratory, students will be able to:

• Use the most common functions and features in Python’s base build.
• Download, install, and use popular extensions like numpy, matplotlib, and pandas.
• Perform basic analysis of financial data and create visualizations of results.

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A basic understanding of analytical tools is a gateway to business analytics studies, training you to build advanced analytical capabilities and deep managerial insights. This non-credit, hands-on preparatory laboratory will help you gain the fundamental knowledge of data modeling, business analytics, and decision-support tools necessary to build analytical skills for Business Analytics Foundations (MET AD 571) and subsequent courses. In addition to presentations and discussions, students will apply new concepts directly in an interactive, web-based learning environment incorporating Microsoft M365 & Copilot, SQL for Business, Python Programming for Business, R Programming for Business, and Data Visualization for Business. [0 cr.]

After completing this laboratory, students will be able to:

• Identify and formulate data analytics problems,
• Work with data models and perform introductory data analysis in Microsoft M365 Excel and Copilot, SQL, Python & R programming,
• Use data visualization techniques to wrangle, transform, share, and combine data, to implement advanced relationships and understand data analysis expressions, and construct rich and effective graphics and dashboards,
• Apply essential concepts for querying, creating, and updating tables and data models by working with MySQL and PostgreSQL.

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ADR100 is a non-credit lab meant to serve one primary purpose – to build your familiarity with the R language and programming environment. It is free to all BU MET students.

Completion of ADR100 is required for AD571: Business Analytics Foundations. It may also be listed as a co-requisite for other courses in the Administrative Sciences programs – check with individual course instructors for specific details.

By completing the ADR100 lab, you will:

• Engage with your Faculty
• Achieve the basic familiarity with R you will need to be “Day 1 Ready” for any course that uses this statistical programming language
• Attain an ADR100 badge, which is useful at BU and beyond
• Successful completion will lead to automatic enrollment in ADR200

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AD200 is the second level of our series of labs that offer tutorials on how to use Analytical tools and software. These tools are used by business analytics professionals across the different business sectors.

In order to be enrolled in AD200 students must have an AD100 completion badge. This laboratory is free to all BU MET ABA students.

By completing AD200 you will:

• Prepare students for different specialization courses within the BU MET Applied Business Analytics program that uses a variety of tools such as Tableau and Python.
• Match current demands of the job market as many of the jobs in the field require knowledge of different tools. Many employers have specific software and tools that they use and require candidates to have proficient knowledge of them to reduce onboarding training and effort.

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