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:

5 weeks
$499.00

Statistics for Beginners

Statistical knowledge helps you use the proper methods to collect the data, employ the correct analyses, and effectively present the results. ...

15 hours
$499.00

Intro to WordPress: 101

Introduction to the WordPress Content Management Systems (CMS).

6 hours
$225.00

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:

5 weeks
$499.00

Statistics and Probability

Probability and statistics hold the key for enabling students to better understand, process, and interpret the vast amounts of quantitative data that exist all around them, and to have a probabilistic sense in situations of uncertainty.

15 hours
$499.00

WordPress 301: Plugins

Have you ever wondered how WordPress plugins work? Now is your chance to learn.

Join us for a two-part workshop about WordPress Plugins.

Part 1: What is a plugin? What does it do? How does it do it? How can I use them? 

4 hours
$150.00

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:

5 weeks
$499.00

Web Scraping Using Beautiful Soup

Probability and statistics hold the key for enabling students to better understand, process, and interpret the vast amounts of quantitative data that exist all around them, and to have a probabilistic sense in situations of uncertainty.

15 hours
$499.00

Technical Support Fundamentals

What is IT support? Companies rely on technology everyday, but sometimes that technology fails us. Computers break, systems fail, phones die; and when that happens, we need experts to fix them. IT support is all about troubleshooting and problem solving when the tech fails, and providing great customer service along the way.

6 weeks
$499.00

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:

5 weeks
$499.00