Understanding business analytics is an essential skill for the small business owner. In this hands-on workshop, a variety of business analytics concepts and related techniques are demonstrated using a common spreadsheet application. Attendees are shown how to conduct a cash flow and spend analysis, project evaluation analysis, customer segmentation analysis, and a customer and product profitability analysis.
Courses
Using Templates in Google Docs to Create and Share Your Resume
Using Templates in Google Docs to Create and Share Your Resume
About the webinar: In this webinar we will show you how to create a resume using Google Docs. The goal is to help you gain confidence in using Google Docs and its features. The following topics will be covered:
Automate the boring stuff with Python
Two introductory workshops, 2 hours each
This is practical programming for total beginners!
If you've ever spent hours renaming files, updating hundreds of spreadsheet cells, or entering data, you know how tedious tasks like these can be. But what if you could have your computer do them for you?
How to get my business listed on Google
Every day, people search to find things nearby. Any business today needs targeted visibility on Google. Most businesses know that this requires optimizing their website and paying for Google Ads, but what most don’t know is you can create you Google business listing for free.
Achieving great visibility on Google as a local business has never been more important for sustained growth and success.
In fact, it has been reported that
Using Data to Solve the Customer Loyalty and Spending Behavior Challenge
Solving the Customer Loyalty and Spending Behavior During Challenge of Economic Uncertainty
ADA Compliance for Website: Why is it Important for Your Business?
In compliance with the Americans with Disabilities Act, many websites must now be built according to specifications that allow equal access to content for users who live with disabilities that alter how they navigate the World Wide Web. This course provides an orientation to Website Content Accessibility compliance. In a 3-hr discussion, we will examine the following:
Understanding the problem both for users and businesses:
Data Analytics I: Data Sourcing, Feature Engineering and Preprocessing
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. Using a variety of data cleaning techniques, students will normalize the data in preparation for feature aggregation, sampling, dimensionality reduction and one hot encoding.
At the end of the course, student will know:
Data Analytics II: Exploratory Data Analysis
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. Using insight gaining from the data preprocessing step, students will learn how to identify a simple model with the ideal number of predictor variables.
At the end of the course, student will know:
Data Analytics III: Python
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. Specific algorithms and related libraries will be used to develop machine learning models used for prediction. During this course we will start building Machine Learning models.
At the end of the course, student will know:
Data Analytics IV: R
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. Specific algorithms and related packages will be used to develop machine learning models used for prediction.
At the end of the course, student will know: