Statistical knowledge helps you use the proper methods to collect the data, employ the correct analyses, and effectively present the results. ...
Courses
Intro to Data Analytics
This course prepares students for an entry level Data Analyst position while teaching the essential software and trending programming skills.
Intro to Machine Learning
This course explores fundamental concepts of data analysis and pattern recognition.
Practical approach to UX/UI
Demand for UX designers is on the rise with a 10-year job growth (2014-24) forecast of 19% according to CNNMoney/Payscale's top 100 careers. The field of User Experience and User Interface web design is one of the most popular areas of expertise in web development / app development today.
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. Using a variety of data cleaning techniques, students will normalize the data in preparation for feature aggregation, sampling, dimensionality reduction and one hot encoding.
At the end of the course, student will know:
Statistics and Probability
Probability and statistics hold the key for enabling students to better understand, process, and interpret the vast amounts of quantitative data that exist all around them, and to have a probabilistic sense in situations of uncertainty.
Tech Foundations 1: Digital Basics
This course is designed to provide students with foundational digital skills necessary for most jobs these days. Whether working in-person or remotely, at a small company or a global enterprise, nearly every worker - and every well-paid worker - uses a computer.
Making Your Github Profile Look Awesome
GitHub profile - why do you need it? How to make it loos awesome?
Intro to WordPress: 101
Introduction to the WordPress Content Management Systems (CMS).
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: