Data Analytics and Visualization

• Entry and mid-level finance professionals 
• Entry-level management and marketing professionals 
• Decision-makers in all industries who need to analyze and visual data  

Data Analytics and Visualization
The full, 8-week/session, non-credit class consisting of an overview, Tableau and PowerBI.

Overview of Data Analytics
Session 1: Decision Making with Data  
This introductory session will provide background information about data analytics and illustrate how decisions can be supported using the three main categories of analytics (descriptive, predictive, and prescriptive).  An overview of all three categories will be provided and detailed examples will be studied.   

Session 2: Descriptive Analytics                                                     

Descriptive analytics examines data to understand what has happened in the past and what is currently happening.  Exploratory data analysis (EDA) is often the first and most important step when analyzing data.  Using the popular analytics language, R, the fundamentals of analyzing data using statistical methods will be studied. 

Session 3: Predictive Analytics and Forecasting                                             

Predictive analytics is the use of data and algorithms to identify the probability of future outcomes based on historical data. The objective is to take past data and produce a best assessment of what will happen in the future.      

Session 4: Prescriptive Analytics using Modeling                    

Prescriptive analytics helps an organization decide a course of action based on a program’s predictions. Modeling is used to represent a real-world situation. By manipulating data models and running what-if scenarios, analysts can prescribe the best course of action for an organization. Excel models will be examined in detail.   

Tableau Data Visualizations
Session 5: Creating Visualizations in Tableau 
In this session, we will begin to explore Tableau, a widely used data visualization application. We will examine multiple types of visualizations and learn how to customize their presentation. Types of visualizations include text tables, bar charts, geographic maps, and heatmaps. 

Session 6: Developing Dashboards and Data Stories in Tableau 
We will continue our exploration of Tableau in this session by adding the functionality of dashboards. A dashboard combines one or more visualizations into an interactive page. These highly customizable tools are widely used across industries and organizations. We will also explore Stories, which allows you to tell a story or give a presentation within Tableau. These stories are interactive and can be uploaded to a web server where anyone can use and interact with them whether or not they have Tableau. 

Visualizing Data with PowerBI
Session 7: Using PowerBI to Develop Data Visualizations 
PowerBI is a Microsoft application that many organizations and companies use to examine and explore data.  In this session, we will examine the PowerBI software and how it can be used to develop a variety of visualizations.    

Session 8: Crafting Interactive Visualizations with PowerBI 
This session continues our exploration of PowerBI and its tools for developing interactive dashboards. You will also see how to complete a thorough data analysis using the tool. 

What do I get for attending the Data Analytics and Visualization Certificate at PC? 

First and foremost, you receive a great education, taught by Providence College faculty who are excited to teach professionals. Second, you gain beginner to intermediate proficiency in popular data visualization tools that expand your skills and increase your professional value. Students who complete the course will also receive a certificate from Providence College indicating their completion of the course. 

What’s the time commitment? 

The program will total 24 hours of instructional time for those pursuing the full certificate track, along with a suggested 1 hour for reading materials outside of class each week. The Tableau and Power BI or Tableau (only) tracks will total 18 or 12 hours of instructional time, respectively. 

Do I have to attend all class sessions to receive my certificate? 

You’ll get the most out of your certificate program if you attend all the sessions. However, in extenuating circumstances, we can provide a video recording of the missed session. 

What are the logistics? 

Classes are virtual. 

How much homework is involved? 

Most of the faculty will send you important reading materials before their class to give you a basic foundation on which they build. This reading generally takes less than an hour. 

Am I graded? 

As a non-credit certificate, the Data Analytics and Visualization program is not graded. However, a grade of Pass is issued to those who complete the program.  

Is this program eligible for tuition reimbursement? 

In many cases, yes. Nearly 20% of prior program registrants received partial or full employer reimbursement. Alert us of this arrangement with your employer and, upon program completion, we’ll issue your pass/fail grade for reimbursement processing. 

What does the program cost? 

Take advantage of special pricing of $1,600 for the entire 8-week certificate program. Or you can pursue the shorter, focused modules for $475 or $925.

Do I have to be accepted? 

No! This is a non-credit program with open enrollment. Registration is on a first-come, first-served basis. 

What if I need a refund? 

A full refund is available prior to the start of the program if you need to cancel your registration.

What if I have questions? 

Should you have any questions prior to starting your application, feel free to contact one of our knowledgeable advisers.