A course

Creating a Resume in Google Docs

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:

  • What is Google Drive and how to use it.
  • How to access and create a Google Doc
  • Templates and formatting for Resumes
  • Options on how to share and submit a resume

Please RSVP using Meetup here or Newburgh Free Library

Intro to G-Suite: GoogleDrive/ GoogleDocs

G Suite is a suite of tools that can help you save time and money simplifying communication, collaboration, and creativity, all while supporting the objectives that you have. These tools are free, ad-free, reliable, and secur

Google Drive is like an online hard drive where you can store all your files - stories, designs, drawings, recordings, videos - anything!  You can access your files from any device, and, best of all, you never have to save: Drive automatically saves every time you make an edit!

G-Suite: GoogleDrive/ GoogleDocs

G Suite is a suite of tools that can help you save time and money simplifying communication, collaboration, and creativity, all while supporting the objectives that you have. These tools are free, ad-free, reliable, and secur

Google Drive is like an online hard drive where you can store all your files - stories, designs, drawings, recordings, videos - anything!  You can access your files from any device, and, best of all, you never have to save: Drive automatically saves every time you make an edit!

Data Analytics RStudio Cloud

This two days course opens data analytics series, It will focus on building and expanding on a real-world business case. Using a step-by-step approach, the data science workflow will be demonstrated as applied to business analytics, reporting, and visualization.

Prerequisite 

You can get the most out of this workshop if you have experience working with any programming language and databases.

Mentor(s) 

Course Schedule:

Starting Wednesday, September 30, 2020 - 6:00pm
Location:
124 Grand Street
Newburgh, NY 12550
All class dates:
Sep 30, Oct 7

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, 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:

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:

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 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, 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