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).

6 months to be ready for a hitech job in Data Analysis field

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. This is the only Data Analytics boot camp in the Hudson Valley. The curriculum focuses on essential, in-demand skills and is based on industry best practices to stay current and relevant to today’s job market, while going ahead to be ready for the next level!

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

You are not in this alone

Joining OpenHub's Data Analytics Bootcamp means that you have a community of learners and experts who are available for support during training and beyond. Fully remote while instructor led, this course is taught by ed by esteemed professor Cynthia V.Marcello who teaches it at two major universities. You will be surrounded by other coders and attend pair-programming sessions and coding clubs at no extra charge

Modular approach

Data Analytics Bootcamp consists of 6 courses. Each course can be taken separately based on your previous experience, or taken altogether these courses will provide a solid foundation in website development along with the business skills one needs to implement a truly effective online business strategy for your own business or for clients. You will be building a portfolio projects that can be used for multiple use cases. Regardless of which course you select, you will become empowered with current technology skills delivered by top professionals in their field and have the authentic opportunity to network with like-minded people, while developing hands-on skills that can directly translate to infinite job opportunities. Taken all together these courses help you to create your professional portfolio gradually, using

This learning opportunity is extremely intense and hands-on, resulting in priceless job skills employees in the field are seeking. Modular based, this popular Bootcamp includes a three hour weekly lectures and hands-on projects. Over a 6-month period, students build their project portfolio with the goal of being “resume-ready” for their next job interview or for seeking a promotion.

No prior experience is necessary to sign up

Courses are equally beneficial for beginners as those with previous expertise. Acquire real life skills, learn additional topics and best practices, and join a community of techies who will be of support after the courses end.

All our instructors are local, experienced professionals in the field of website development and technology, and are passionately involved in growing the local tech community. The technology skills presented in these courses are current and relevant to today’s job market and based on industry best practices.

See this  slide deck for details: Data Analytics boot camp Learning Outcomes

Watch Info session recorded here: https://youtu.be/X-qOB5-vcvc 

Join our 'Ask Me Anything: / Info Session February 24th, 2021

To meet the stuff and ask any questions you might have:

  • Why Data Analytics?
  • What career opportunities are?
  • What is covered by the course? 
  • How do I know this is a good fit?

Register here: or join us through Meetup here: https://www.meetup.com/web-development-coding-computing/events/276198450/

 

Who Is This Course For? 

for those considering a professional career in Data Analytics.
You will need problem solving skills, basic math background or computational thinking in place, being detail oriented, and not afraid to explore things. It is not a high skills level set to start with. You will be learning R and Python, and having Excel experience as a start is great

Mentor(s) 
Duration 
26 weeks
Cost 
$2,950.00

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

Data tells the story, and data is everywhere, It is really important, and it has the purpose. Learn what the differences are between data analytics and data science.