BUSINESS INTELLIGENCE
CERTIFICATE
Companies are collecting more data than they ever have before. It takes someone with an eye for details and patterns to decipher all that data. Enter the Business Intelligence (BI) Analyst. BI Analysts do the deep diving into the data and find compelling information that leads data-driven decisions.
Analyzing data isn’t a “one and done” kind of activity. With technology the data is basically a “moving target” for most companies. Understanding the data, interpreting what it’s telling you (or not telling you) is a constant challenge.
BI Analysts get the added bonus of presenting information that gets the “Ah-Ha!” kind of moment on a regular basis.
CERTIFICATION REQUIREMENTS
Prerequisite:
1+ year(s) Data Visualization EXPERIENCE
OR
Data Visualization Certificate
Fundamentals of Data Visualization (Tableau 101)
3 hour sessions, two days/week for 4 weeks
In this class, students will learn the fundamentals of expressing data visually using Tableau. We will teach you data design and how humans digest data–specifically, the fundamentals of data visualization design and construction, as well as best practices needed to implement them. This class uses Tableau, an industry-wide benchmark for quality visualization tools.
Power BI – Business Intelligence (BI 101)
3 hour sessions, two days/week for 4 weeks
Power BI is a major tool for most Data Analysts to use in Data visualization, especially when the data needs significant preparation prior to visualization. This class will teach how to visualize data using Power BI and how to collect, arrange, and prepare data for visualization.
Complete BOTH of the following:
Data Manipulation and Management (SQL 101)
3 hour sessions, two days/week for 4 weeks
This class teaches a student how to store and transform data specifically to be used in modeling. Students will learn database design, SQL queries, different schemas, data cleaning techniques, and data appending. The class also will introduce a tool called Dataiku, a data platforming tool used for easier data engineering and visual/drag and drop data science. This module, taken individually, does not earn a student a certificate.
AND
Introduction to Python Programming (Python 101)
3 hour sessions, two days/week for 4 weeks
In this class, students will be introduced to some of the major concepts of Data Science (Python Programming, Database Management, Modeling, and Data Visualization) and some of the tools used in the profession. The tools include a crash course in the basics of programming, data structures and object oriented design, basic web development, Jupyter Notebooks, GitHub, and web scrapers, as well as functional programming concepts and key Python libraries (Numpy and Pandas). This module, taken individually, does not earn a student a certificate.
Total Time/Cost to complete certification:
8 weeks/$3,300 if you have the necessary prerequisite
or
12 weeks/$4,950 when taken with Data Visualization Certificate
what does a BI analyst do?
A BI ANALYST uses a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.
COMMON TASKS OF A BI ANALYST:
- Find and collect data using programming
- Store, clean, and prepare data using SQL
- Analyze data for insights
- Create data visualizations
- Present findings to stakeholders