#business

Course Schedule:

This course is not currently scheduled. Please sign up if you want to get this course soon.

Data-Driven 102: Decision Making for Small Businesses

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.

Mentor(s)

Course Schedule:

This course is not currently scheduled. Please sign up if you want to get this course soon.

Data-Driven 103: Using Data Analytics to Inform Small to Medium Business Continuity Planning

Small or medium business (SMB) generates data, lots of data. Are we using it?

This data is a rich resource but many SMBs are held back from benefiting from that data because of the following factors:

Prerequisite

Excel

Mentor(s)

Data Analytics V: Python and R

Course Schedule:

Starting Wednesday, December 2, 2020 - 6:00pm

Location:

online

146 3rd Street

Newburgh, NY 12550

This course is part of a bootcamp: Data Analytics for Small Businesses

All class dates:

Dec 2, Dec 9

Data Analytics VI: Data Visualization

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:

Prerequisite

Mentor(s)

Course Schedule:

Starting Wednesday, July 14, 2021 - 6:00pm

Location:

online

146 3rd Street

Newburgh, NY 12550

This course is part of a bootcamp: Data Analytics Bootcamp

All class dates:

Jul 14, Jul 21, Jul 28, Aug 4, Aug 11

Data Analytics V: Python and R

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. Students will develop a working Notebook using R Markdown and transfer results into an interactive web-based dashboard using Shiny.

At the end of the course, student will know:

Prerequisite

Data Analytics IV: R

Mentor(s)

Course Schedule:

Starting Wednesday, June 9, 2021 - 6:00pm

Location:

online

146 3rd Street

Newburgh, NY 12550

This course is part of a bootcamp: Data Analytics Bootcamp

All class dates:

Jun 9, Jun 16, Jun 23, Jun 30, Jul 7

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:

Prerequisite

Mentor(s)

Course Schedule:

Starting Tuesday, May 5, 2020 - 6:00pm

Location:

online

146 3rd Street

Newburgh, NY 12550

This course is part of a bootcamp: Data Analytics Bootcamp

All class dates:

May 5, May 12, May 19, May 26, Jun 2

Data Analytics II: Exploratory Data Analysis

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.

At the end of the course, student will know:

Prerequisite

Mentor(s)

Course Schedule:

Starting Wednesday, March 31, 2021 - 6:00pm

Location:

online

146 3rd Street

Newburgh, NY 12550

This course is part of a bootcamp: Data Analytics Bootcamp

All class dates:

Mar 31, Apr 7, Apr 14, Apr 21, Apr 28

Data Sourcing, Feature Engineering and Preprocessing

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:

Prerequisite

Mentor(s)

Course Schedule:

Starting Monday, February 24, 2020 - 6:00pm

Location:

online

146 3rd Street

Newburgh, NY 12550

This course is part of a bootcamp: Data Analytics Bootcamp

All class dates:

Feb 24, Mar 3, Mar 10, Mar 17, Mar 24

Data Analytics Bootcamp

The Data Analytics Bootcamp is an intensive, hands-on learning experience that focuses on providing exposure to highly desirable skills sought by the job market. Over a 6-month period, students build their project portfolio on Github with the goal of being “resume-ready” for their next job interview or for seeking a promotion.

Timeframe: 26 weeks, 3-hour lecture per week, 4-6 hours per week on quizzes and ongoing real-world projects for homework.

Bootcamp Overview

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.

Mentor(s)

Data Sourcing, Feature Engineering and Preprocessing

Course Schedule:

Starting Wednesday, January 20, 2021 - 6:00pm

Location:

online

146 3rd Street

Newburgh, NY 12550

This course is part of a bootcamp: Data Analytics Bootcamp

All class dates:

Jan 20, Jan 27, Feb 3, Feb 10, Feb 17

Register now

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:

Prerequisite

Mentor(s)

Course Schedule:

Starting Monday, February 24, 2020 - 6:00pm

Location:

online

146 3rd Street

Newburgh, NY 12550

This course is part of a bootcamp: Data Analytics Bootcamp

All class dates:

Feb 24, Mar 3, Mar 10, Mar 17, Mar 24

Data Analytics II: Exploratory Data Analysis

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.

At the end of the course, student will know:

Prerequisite

Mentor(s)

Course Schedule:

Starting Wednesday, March 31, 2021 - 6:00pm

Location:

online

146 3rd Street

Newburgh, NY 12550

This course is part of a bootcamp: Data Analytics Bootcamp

All class dates:

Mar 31, Apr 7, Apr 14, Apr 21, Apr 28

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:

Prerequisite

Mentor(s)

Course Schedule:

Starting Tuesday, May 5, 2020 - 6:00pm

Location:

online

146 3rd Street

Newburgh, NY 12550

This course is part of a bootcamp: Data Analytics Bootcamp

All class dates:

May 5, May 12, May 19, May 26, Jun 2

Data Analytics V: Python and R

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. Students will develop a working Notebook using R Markdown and transfer results into an interactive web-based dashboard using Shiny.

At the end of the course, student will know:

Prerequisite

Data Analytics IV: R

Mentor(s)

Course Schedule:

Starting Wednesday, June 9, 2021 - 6:00pm

Location:

online

146 3rd Street

Newburgh, NY 12550

This course is part of a bootcamp: Data Analytics Bootcamp

All class dates:

Jun 9, Jun 16, Jun 23, Jun 30, Jul 7

Data Analytics V: Python and R

Data Analytics VI: Data Visualization

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:

Prerequisite

Mentor(s)

Course Schedule:

Starting Wednesday, July 14, 2021 - 6:00pm

Location:

online

146 3rd Street

Newburgh, NY 12550

This course is part of a bootcamp: Data Analytics Bootcamp

All class dates:

Jul 14, Jul 21, Jul 28, Aug 4, Aug 11

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.

Mentor(s)