About This Course:

Every business has a story. Accounting tells the financial story of a business. How much profit does the company make? Can the company afford to grow or pay its employees more? What are its assets and liabilities? Is the company in good credit or an investment risk? These types of questions can be answered through the use and understanding of the stories that financial statements tell.

In this course, you will explore standard business activities and follow them through to the financial statement phase to determine how those activities then contribute to the company’s profits. After taking this class, you should be able to:

  • Record and present financial information by applying the appropriate framework and guidelines of accounting for business transactions including:
    • Creating various financial statements based on various forms of financial data.
    • Analyzing financial data to inform decision-making using a given framework.
    • Explaining financial information to stakeholders to support business practices.
  • Determine asset accounts and their disclosure in the financial statements by:
    • Applying valuation methods to value account inventory
    • Determining account values
    • Developing financial statements
  • Determine liability and equity accounts and their disclosure in the financial statements by:
    • Identifying types of liabilities
    • Distinguishing between current and long-term liabilities
    • Evaluating financial impacts of long-term debt
    • Explaining the difference between retained earnings and owners’ equity
What You’ll Learn:
  • Record financial transactions according to industry standards
  • Prepare financial statements aligned with industry practices
  • Analyze the results of transactions and statements
  • Report financial information to appropriate stakeholders

Meet Your Instructors:

pearson advance :: Zuzana Buzzell

Zuzana Buzzell

Dr. Zuzana Buzzell oversees multiple programs within the graduate and undergraduate business portfolio at Southern New Hampshire University including accounting, economics and project management. She has 15 years of experience developing, training and teaching multiple successful accounting, finance and economics programs in traditional, hybrid and online settings for academic institutions, government agencies and the private sector. She also held various leadership positions in one of the largest financial service companies in the U.S. Dr. Buzzell earned her PhD in International Business with concentration in Finance in 2013, her master’s in finance in 2004 and an MBA in 2001.
pearson advance :: Mona Stephens

Mona Stephens

Mona Stephens has been teaching accounting courses, both online and campus, for more than 20 years. At Southern New Hampshire University, she is an online accounting faculty lead. She also serves as a subject matter expert for the university in all areas of accounting, based on her experience and knowledge in both educational and corporate accounting environments. Of Stephens’ 25 years of professional accounting experience, 18 of those were as the finance and accounting administrator for a regional government office. She is also Certified Public Accountant (CPA) and has MS degrees in both accounting and data analytics.

About This Course:

Develop the skills necessary to create structured database environments using a relational database management system (RDBMS), such as MySQL, that incorporates basic processing functionality and allows for data management, data manipulation and data analysis. Learn about types of data and types of databases to store data, as well as design for scalability. You’ll also learn to prepare digital data storage using the relational model, including resolving integrity constraints, and proper assignments of primary and foreign keys. In addition, you’ll construct and analyze queries to address data requirements.

What You’ll Learn:

Understanding what SQL isHow to use SQL statements such as:SelectFromWhereHavingGroup byOrder byMaxMinCountCount distinctJoinsImport/exportReading schemasCreating database schemasImporting/exporting dataTroubleshooting queriesModifying tables and data structuresAnalyzing SQL outputs

Meet Your Instructors:

Scott Overmyer

Associate Dean of Information Technology at Southern New Hampshire University Dr. Overmyer started his career in the software field in 1983 with TRW, Inc. as a user interface designer and requirements engineer on the Space Defense Operations Center project in Colorado's Cheyenne Mountain NORAD Complex. After completing several government projects with TRW, he was appointed manager of TRW's Research and Technology Center in Virginia. He earned a Ph.D. in Information Technology (Information and Software Systems Engineering), while appointed as Research Instructor in George Mason University's Center of Excellence in Command, Control, Communications and Intelligence. Dr. Overmyer has nearly 10 years of industrial experience, followed by nearly 30 years of academic experience. During his academic career, he has been awarded 2 summer faculty fellowships at NASA's Johnson Space Center and has been a PI or co-PI on several National Science Foundation research grants. While an Associate Professor at Drexel University, he was also the Founding Director of the Pennsylvania Governor's School for Information Technology, a 5-week summer residential program for talented high school students. Internationally, he served at Subject Coordinator for both Software Engineering and Information Systems while at Massey University in NZ, and a (founding) Professor of Computer Science at Nazarbayev University in Astana, Kazakhstan, as well as Acting Chair of the Physics Department there. He is currently an Associate Dean for Information Technology for Southern New Hampshire University, and works remotely from his farm in South Dakota. On Dr. Overmyer’s free time, he enjoys researching artificial intelligence for automatic student assessment, online poker, and wine making.

Ben Tasker

Technical Program Facilitator – Data Science and Data Analytics at Southern New Hampshire University Ben Tasker owns his own consulting business, where he enjoys solving complex data science problems with innovative solutions for clients ranging from Fortune 500 companies, small businesses and even the White House. He believes any company can reach the next phase of machine learning, artificial intelligence or even basic data analytics and enthusiastically provides that expertise to his clients. He applies this knowledge daily as a technical program facilitator at Southern New Hampshire University, where he creates cutting edge data science programs. Ben also holds a clinical Professorship at the College System of New Hampshire, where he teaches data science topics at both the undergraduate and graduate level. Before he ventured into consulting and education, he was the manager of analytics and data warehousing for the Community College System of NH, where he managed 12 data scientists and helped developed an algorithm that kept students enrolled in college, flagging the students at the highest risk of failure. This flag allowed the colleges to deploy resources for each of those students, ultimately helping them complete college. He also earned a MS in Data Analytics and Data Science from the University of New Hampshire. In his free time, Ben can be found at his local Crossfit Gym, doing box jumps, hang power cleans and kettle bell swings

About This Course:

This course helps prepare you for positions that require the analysis of large data sets, providing the statistics foundation you’ll need for data analysis.

You’ll learn how to model real-world applications using statistical methods. You’ll also gain skills to set up those applications in statistical frameworks, solve the statistical problems using technology and apply those results to answer real business questions. By leveraging the pandas and matplotlib python libraries, you’ll gain exposure to tools used in data analysis, visualization, and data science.

What You’ll Learn:

Collect and classify dataSummarize data using visual and numeric techniquesQuantify answers to questions about estimating parameters using hypothesis test and confidence interval techniquesQuantify answers to questions about correlation between variables using linear regression techniques

Meet Your Instructors:

Ben Tasker

Technical Program Facilitator – Data Science and Data Analytics at Southern New Hampshire University Ben Tasker owns his own consulting business, where he enjoys solving complex data science problems with innovative solutions for clients ranging from Fortune 500 companies, small businesses and even the White House. He believes any company can reach the next phase of machine learning, artificial intelligence or even basic data analytics and enthusiastically provides that expertise to his clients. He applies this knowledge daily as a technical program facilitator at Southern New Hampshire University, where he creates cutting edge data science programs. Ben also holds a clinical Professorship at the College System of New Hampshire, where he teaches data science topics at both the undergraduate and graduate level. Before he ventured into consulting and education, he was the manager of analytics and data warehousing for the Community College System of NH, where he managed 12 data scientists and helped developed an algorithm that kept students enrolled in college, flagging the students at the highest risk of failure. This flag allowed the colleges to deploy resources for each of those students, ultimately helping them complete college. He also earned a MS in Data Analytics and Data Science from the University of New Hampshire. In his free time, Ben can be found at his local Crossfit Gym, doing box jumps, hang power cleans and kettle bell swings

David Sze

Technical Program Facilitator – Mathematics at Southern New Hampshire University David Sze has been teaching statistics and mathematics courses, both online and on campus, for more than 15 years. His current position includes developing, teaching and overseeing statistics and mathematics courses at Southern New Hampshire University. **** Before entering university fields, he worked in the software and telecommunications industries for more than 20 years. He held positions as a director of technology and software consulting and testing and as a technical analyst specializing in applied stochastic techniques. David Sze has a Ph. D. in Mathematics (Probability) and an M. S. in Statistics.

About This Course:

The Python programming language is extremely powerful and commonly used to automate time-intensive activities/tasks for users. This makes Python a good skill to have for any job that requires automation to replace data in a file, rename multiple file names, update Excel spreadsheets or mine data from web pages. Python can be used as a steppingstone to enter some of the most exciting industries including data science, artificial intelligence, machine learning, software or full-stack development.

What You’ll Learn:

Translate requirements to solve problems computationallyWrite scripts using syntax and conventions in accordance with industry standard best practicesDevelop a fully functional program using industry-relevant tools

Meet Your Instructors:

Gwen Britton

Associate Vice President, SNHU Global Campus STEM & Business Programs at Southern New Hampshire University
Dr. Gwen Britton has over 25 years in both private industry and academia within the science, technology, engineering and math (STEM) space. She has worked in varying positions spanning a gamut of content areas including software engineering, systems administration, network administration, data analysis, database administration and design, web development engineering, cyber-defense, mathematics and computer science.
Britton is passionate about expanding and growing STEM opportunities and access for individuals who otherwise would not have an opportunity to pursue a career in the STEM area. She has helped grow opportunities for non-traditional adult students from under-represented populations by spear heading virtual experiential learning opportunities and competitions in areas such as technology certification preparation, data analysis, internet of things and capture the flag. She has also helped organize and participate in events focused on under-represented K-12 student populations to engage and interest future STEM students in the field through events such as FIRST Robotics, the Hour of Code, Girls in Technology Day and the Science of Soccer.

Curtis George

Technical Program Facilitator for Computer Science at Southern New Hampshire University
Curtis George brings over 20 years of experience as a senior engineer working on various projects, from embedded systems for military aircraft to enterprise software for NASA/NOAA. Before working for SNHU, George worked as a senior software engineer for the NOAA Comprehensive Large Array-data Stewardship System (CLASS) project. He worked as a senior application engineer with NASA to create software for satellites for predicting hazardous weather patterns (GOES-R and JPSS), developed a roleplaying game to acclimate international students to American campuses and even created an award-winning Spanish verb conjugation mobile application. George started his career in the Navy on a special operations boat where he earned a Navy and Marine Corps Achievement medal, National Defense Service medal, Navy Expeditionary medal and a Meritorious Unit Commendation medal. He has worked for SNHU as the technical program facilitator for computer science for over 5 years. George earned his Bachelor of Science degree in computer science from Chapman University and his Master of Science degree in computer science from Nova Southeastern University. He is currently a PhD candidate for computer science at Northcentral University, which he expects to finish in 2021.

About This Course:

In this course, you’ll gain core, critical business skills needed for success in any organization through analyzing various types of data and communicating the results of their analyses to diverse stakeholders.

Business analytics, which combines data analysis with industry knowledge to solve business problems and discover insights, is integrated throughout the course to ensure you’re able to support stakeholders at all levels of an organization. This course also involves formulating appropriate research questions and developing compelling narratives with visualizations in order to support leaders to make better decisions and companies to gain a competitive advantage.

After taking this course, you’ll be able to use information from industry and scholarly sources to inform problem-solving and decision-making by:

  • Identifying different methodologies for solving a business problem
  • Applying industry standards to inform decision-making
  • Utilizing industry frameworks to identify and solve emerging problems

You’ll also be adept at interpreting qualitative and quantitative data to answer business questions by:

  • Creating data visualization to support informed decision-making
  • Testing hypotheses to find the best method of addressing complex business questions

This course will also help you to develop the skill sets needed in order to communicate effectively with diverse internal and external audiences by understanding communication strategies, best practices and the impact of inclusive language in business settings.

What You’ll Learn:

  • Analyze qualitative and quantitative data using various methodologies and frameworks
  • Craft data visualizations for communicating complex topics to diverse audiences
  • Effectively communicate important initiatives to diverse audiences of stakeholders

Meet Your Instructors:

pearson advance :: Michael Newhouse-Bailey

Michael Newhouse-Bailey

Dr. Michael Newhouse-Bailey currently oversees both the undergraduate and graduate sport management programs, as well as manages a large population of adjunct faculty at Southern New Hampshire University (SNHU). He has been in higher education for over eight years, having worked in both online and on campus environments. Dr. Newhouse-Bailey previously worked in intercollegiate athletics. His background is primarily in communications, having helped produce a cable sports television show. His research interests include sport and family functioning, as well as esports and community development. He is also responsible for helping to spearhead the growing esport community at SNHU, both on campus and online, facilitating casual as well as competitive gaming amongst the student body. He earned his PhD in Sport Management in 2012 and his master’s in sport management in 2003.
pearson advance :: Candace Sleeman

Candace Sleeman

Dr. Candace Sleeman specializes in technical leadership, big data analytics, applied data science and business analytics in commercial, government and academic settings. She is experienced in data architecture, data mining, machine learning, artificial intelligence, deep learning and Agile methodologies. She holds a PhD in Mathematics from Drexel University, an MS in Computer Science from Monmouth University and a BS in Mathematics from the University of Vermont. She is a member and officer of the Board of Trustees for NorthEast Regional Computing Program (NERCOMP), where she is treasurer. At Southern New Hampshire University, she is an adjunct professor and a subject matter expert in data technology and program design. As a Technical Program Facilitator, she is involved in the development of online graduate and undergraduate programs, certifications and badges for data analytics, data science and business analytics.

About this course

Based on the National Gallery of Art’s popular Art Around the Corner professional development program for teachers in Washington, D.C., this five-unit online course provides everything you need to begin creating a culture of critical thinking and collaboration for any classroom, subject, or level. You do not need an art background or museum access to successfully integrate the course materials into your teaching. Your willingness to experiment with new teaching practices is all that is required.

The strategies presented in this course are adapted from Artful Thinking pedagogy, developed by Project Zero at the Harvard Graduate School of Education. You will explore three thinking dispositions, using eight thinking routines that are easy to understand and implement with STEAM curricular content.

  • Starting with the disposition of observing and describing , you will learn how to guide your students in slowing down, using their senses, and communicating impressions of what they see in a work of art…and in other things.
  • Next, the routines used in the disposition of reasoning with evidence ask students to make hypotheses about the art and support their arguments with observations.
  • Finally, the questioning and investigating disposition challenges students to hone their natural curiosity by expressing their wonderings and formulating open-ended questions.

Throughout, you will discover the power of art to develop your students’ inclination, motivation, and ability to think deeply.

When you enroll, all the resources you need for your classroom to strengthen critical thinking by using art will be immediately available. We recommend spending a few hours learning and practicing each section before progressing to the next.

The online course environment features over 20 videos and interactive tools:

  • a zoom tool to examine works of art at full resolution
  • polls to compare your thoughts with those of other participants
  • discussion boards where teachers around the world share ideas, plans, and results
  • authentic lesson demonstration videos that model routines led by real classroom and museum educators with students of varying ages, with corresponding downloadable lesson plans
  • interview videos on topics like using thinking routines with emerging language learners and making accommodations for all learners

Participating with a global network of educators who, just like you, want to hone their abilities to teach critical thinking skills and explore arts integration will be an added bonus to your course experience.

What you’ll learn

  • How to use Artful Thinking Routines to strengthen thinking.
  • How to facilitate meaningful conversations in your classroom using art for artful learning and artful teaching.
  • How to help learners of all levels develop more discerning descriptions, evidence-based reasoning, and meaningful questioning habits.
  • Key strategies for using content information to push original thinking deeper.
  • Exciting, immersive activities for any type of classroom.
  • How to use online teaching resources from the National Gallery of Art, including downloadable Artful Thinking lesson plans

Meet your instructor

Julie Carmean

About Me

As a Museum Educator and Coordinator of Professional Development for Art Around the Corner partnership programs at the National Gallery of Art, Julie plans and facilitates professional development for classroom teachers and museum educators on-site and online, teaches in the galleries and studio, and writes curriculum and educational resources. Formerly, she taught elementary students in Title I and Arts Integration schools using Artful Thinking routines, designed and instructed graduate-level education courses, and coached online courses. Julie holds a bachelor’s degree in Elementary Education and received her master’s degree in Arts in Education from the Harvard Graduate School of Education. She believes that making the arts accessible to all students contributes to each one reaching his or her highest potential.