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.
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
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:
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.
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:
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:
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:
Course Schedule:
This course is not currently scheduled. Please sign up if you want to get this course soon.
Intro to Data Analytics
This course prepares students for an entry level Data Analyst position while teaching the essential software and trending programming skills.
basic MS Excel / GSuite Sheets
Course Schedule:
This course is not currently scheduled. Please sign up if you want to get this course soon.
