Applied Data Science and Machine Learning

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Applied Data Science and Machine Learning

Applied Data Science and Machine Learning Professional Certificate

Ready to advance your career? In just 8 weeks, learn how to analyze enterprise data, implement open-source machine learning libraries, and create accessible data visualizations for diverse audiences.

Gain In-Demand Skills

Through hands on, practical examples, gain a firm understanding of how to design and develop data. Then, implement what is built during the course directly into your organization’s information flow.

Taught By Industry Leaders

Project based labs allow you to practice real-world challenges while gaining advice from industry experts. Instructors are a mix of university professors and leaders in a variety of industries.

Develop Your Industry

Designed for early or mid-career individuals, individuals that are new to data analytics or have some experience and are ready to progress to the next level should register. No prior experience or knowledge is required and individuals from a technical or computer background are an ideal fit.

About the Program

Earn a professional certificate in applied data science and machine learning after successfully completing two, on-line courses. The program is fully virtual, with with asynchronous lessons and a weekly, live one-hour instruction session. Students can anticipate committing 4 to 5 hours per week on the program.

COURSE 1 | Introduction to Data Science

Course Dates: Spring 2024

This is the first course offered in the Applied Data Science and Machine Learning Professional Certificate. During this four-week, fully online program, students are introduced to the fundamentals of data science within an operationalized setting and will learn how to create a data model and perform intricate data analyses. Using SQL, this course will teach you how to model data, query data, and feature engineer data for machine learning algorithms. By the end of this course, students will have an ability to:

Model and implement data structures using core industry methods
Evaluate granularity and organize data from within a relational database system
Create data programs using Structured Query Language
Create descriptive statistical analyses of your data
Feature engineer data for maching learning algorithm preparation

Students will experience hands-on labs using the data science lifecycle while working in teams to complete data projects.

COURSE 2 | Introduction to Machine Learning

Course dates: Spring 2024

This is the second course offered in the Applied Data Science and Machine Learning Professional Certificate. During this four-week, fully online program, students are introduced to the field of machine learning. Students will learn the algorithms which underpin many popular machine learning techniques, as well as developing an understanding of the theoretical relationships between these algorithms. Topics covered:

Introduction to machine learning using the Python programming language
Supervised learning of regression including simple, multi, and logistic
Supervised learning of classification including binary, multi and imbalanced
Unsupervised learning of dimensionality reduction, principal components and cluster analysis

Students will experience hands-on labs using the data science lifecycle while working in teams to complete complex data projects.

Qualified Instructor | Spencer Hodapp

Spencer Hodapp is a graduate student studying Information & Data Science with Berkeley MIDS program. Mr. Hodapp currently models electrical grids for the National Energy Technology Laboratory. His previous experience includes work at Ford Motor Company and Deloitte.

Program Investment

$2250 ( both courses)
Email profed@ksu.edu to be notified when dates are set for Spring 2024.

Contact Us

Professional Education and Outreach

profed@k-state.edu

Office Hours

Mon-Fri: 8 a.m. - 5 p.m. CST