How Technology Is Changing Education

Pandemic lockdown revealed not only Digital Divide, but challenges with students engagement, curriculum relevance , limited alternatives for high schoolers to finish education and acquire relevant skills. The education industry will change, and COVID is one of the factors pushing it forward. It is not an evolution, but revolution due to long awaited changes needed.

When changes are long awaited,...

Step Into Your Power - learn about your brain type personality

How does your brain process information most efficiently?

What is your Brain Quadrant Dominance?

Just how positive a thinker are you?

 

HVTechFest's 2020 special guest Julie "Brain Lady" Andersen gave a special workshop How to Use the Science Behind Psychology to Train Your Brain for Greater Success in Business and in Life.. Watch it on YouTube, subscribe HVTechFest channel

Your...

brain quadrant

Data Analytics for Small Businesses

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?

Bootcamp Overview

Data-Driven 101: Developing a Data-Driven Small Business Culture

Developing a data-driven culture in the small business is a daunting task, especially during this time of economic recovery. In this hands-on workshop, attendees are introduced to a framework for data-driven decision-making. Using a step-by-step approach, the information used in the planning process is used to transformed into an action plan for implementation.

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) 

Course Schedule:

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

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:

Mentor(s) 

Course Schedule:

Starting Wednesday, September 1, 2021 - 6:00pm
Location:
online
146 3rd Street
Newburgh, NY 12550
This course is part of a bootcamp: Data Analytics Bootcamp
All class dates:
Sep 1, Sep 8, Sep 15, Sep 22, Sep 29

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:

Mentor(s) 

Course Schedule:

Starting Wednesday, July 21, 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 21, Jul 28, Aug 4, Aug 11, Aug 18

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:

Mentor(s) 

Course Schedule:

Starting Tuesday, June 16, 2020 - 6:00pm
Location:
online
146 3rd Street
Newburgh, NY 12550
This course is part of a bootcamp: Data Analytics Bootcamp
All class dates:
Jun 16, Jun 23, Jun 30, Jul 7, Jul 14

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:

Mentor(s) 

Course Schedule:

Starting Wednesday, May 12, 2021 - 6:00pm
Location:
online
146 3rd Street
Newburgh, NY 12550
This course is part of a bootcamp: Data Analytics Bootcamp
All class dates:
May 12, May 19, May 26, Jun 2, Jun 9

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:

Mentor(s) 

Course Schedule:

Starting Tuesday, April 7, 2020 - 6:00pm
Location:
online
146 3rd Street
Newburgh, NY 12550
This course is part of a bootcamp: Data Analytics Bootcamp
All class dates:
Apr 7, Apr 14, Apr 21, Apr 28, May 5

Data Analytics Bootcamp

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.

By 2022, 85% of companies will have adopted big data and analytics technologies and 96% of companies seeking to hire new permanent staff! (World Economic Forum).

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.

Prerequisite 

basic MS Excel / GSuite Sheets

Mentor(s) 

Course Schedule:

Starting Wednesday, March 3, 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 3, Mar 10, Mar 17, Mar 24, Mar 31

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:

Mentor(s) 

Course Schedule:

Starting Tuesday, April 7, 2020 - 6:00pm
Location:
online
146 3rd Street
Newburgh, NY 12550
This course is part of a bootcamp: Data Analytics Bootcamp
All class dates:
Apr 7, Apr 14, Apr 21, Apr 28, May 5

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:

Mentor(s) 

Course Schedule:

Starting Wednesday, May 12, 2021 - 6:00pm
Location:
online
146 3rd Street
Newburgh, NY 12550
This course is part of a bootcamp: Data Analytics Bootcamp
All class dates:
May 12, May 19, May 26, Jun 2, Jun 9

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:

Mentor(s) 

Course Schedule:

Starting Tuesday, June 16, 2020 - 6:00pm
Location:
online
146 3rd Street
Newburgh, NY 12550
This course is part of a bootcamp: Data Analytics Bootcamp
All class dates:
Jun 16, Jun 23, Jun 30, Jul 7, Jul 14

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:

Mentor(s) 

Course Schedule:

Starting Wednesday, July 21, 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 21, Jul 28, Aug 4, Aug 11, Aug 18

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:

Mentor(s) 

Course Schedule:

Starting Wednesday, September 1, 2021 - 6:00pm
Location:
online
146 3rd Street
Newburgh, NY 12550
This course is part of a bootcamp: Data Analytics Bootcamp
All class dates:
Sep 1, Sep 8, Sep 15, Sep 22, Sep 29