#coding

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.

Course Schedule:

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

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 III: Python

Data Analytics IV: R

Course Schedule:

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

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

Data Analytics III: Python

Course Schedule:

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

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.

Prerequisite

Data Analytics II: Exploratory Data Analysis

Course Schedule:

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

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

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

Course Schedule:

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

Data Analytics II: Exploratory Data Analysis

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

Data Sourcing, Feature Engineering and Preprocessing

Course Schedule:

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

Data Analytics III: Python

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.

Prerequisite

Data Analytics II: Exploratory Data Analysis

Course Schedule:

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

Data Analytics IV: R

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

Data Analytics III: Python

Course Schedule:

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

Data Analytics V: Python and R

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 III: Python

Data Analytics IV: R

Course Schedule:

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

Data Analytics VI: Data Visualization
Intro to Data Analytics

Intro to Data Analytics

This course prepares students for an entry level Data Analyst position while teaching the essential software and trending programming skills.

 

Prerequisite

basic MS Excel / GSuite Sheets

Course Schedule:

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

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

Course Schedule:

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

ADA Compliance for Website: Why is it Important for Your Business?

In compliance with the Americans with Disabilities Act, many websites must now be built according to specifications that allow equal access to content for users who live with disabilities that alter how they navigate the World Wide Web. This course provides an orientation to Website Content Accessibility compliance. In a 3-hr discussion, we will examine the following:

Mentor(s)
Shannah White

Course Schedule:

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

Coding Club: August 2020

Every month we mix and mingle,  getting together around technology to share and co-learn together, discussing an advanced topic or working on some projects in collaboration setup. There is usually no mentor,, but lightning talks or presenter. We re t is a group of experts sharing their experience, providing use-cases and more. If you'd like to share your experience and guide some activities, please let us know! 

This time we will talk about building Serverless applications with AWS.

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