Data-Driven 101: Developing a Data-Driven Small Business Culture
Business & Entrepreneurship
Meet Ups:
Articles:
How does your brain process information most efficiently?
What is your Brain Quadrant Dominance?
Just how positive a thinker are you?
Bootcamps:
Let's face it: small businesses generate a lot of data, but cannot utilize it.
Data can inform their decision making. How to get there? Where to start?
Every industry needs data analysts!
Data analytics is important because it helps businesses to make better decisions, optimize business performance, analyze customer trends and satisfaction, which can lead to new—and better—products and services.
Courses:
In this course, students will learn how to put data into a chart, graph, or other visual format that helps inform analysis and interpretation using Excel, Tableau, R Studio, and PowerBI.
At the end of the course, student will know:
In this course, students will expand on skills acquired in the prior courses by learning how to combine R and Python capability into one project using R Studio and Anaconda.
In this course, students will learn how to load a data set into R for analysis. The R language will be covered to allow the student to become familiar with data analysis techniques accomplished.
In this course, students will learn how to load a data set into Python for analysis. The Python language will be covered to allow the student to become familiar with data analysis techniques accomplished.
In this course, students will learn about the three main rules of data analysis and the associated statistical concepts relevant to performing different analytical methods.
In this course, students will learn the various methods used to source and load data sets selected for analysis. The features and attributes of data will be reviewed after a data quality assessment has been conducted.