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. No degree or previous certification is needed.

Earn a professional certificate in applied data science and machine learning by completing two online courses. The fully virtual program comprises asynchronous lessons and weekly, live one-hour instruction sessions where you will learn about the scientific utilization of data to increase situational awareness and reduce uncertainty.

Machine learning can help you learn, predict and improve your business operations. Enterprises that capitalize on their data will rapidly realize the business value from this prospective.

Man on computer in Applied Data Science and Machine Learning

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.

Man giving presentation in Applied Data Science and Machine Learning

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.

Woman giving presentation in Applied Data Science and Machine Learning

Develop Your Industry

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

About the Program

Earn a professional certificate in applied data science and machine learning after successfully completing two online courses. Students can anticipate committing 4 to 5 hours per week to the program.

Program Investment

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

COURSE 1 | Introduction to Data Science

Course Dates: Fall 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 the 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 machine 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: Fall 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 develop 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.

System Requirements

Course Dates:

Introduction to Data Science – February 1-28, 2022

Introduction to Machine Learning – April 4-29, 2022

Times: Course is hosted online and is primarily self-paced with a weekly live, one hour instruction session. Estimated time commitment is about 4-5 hours per week total.

Location: Fully virtual, hosted through Canvas and Zoom platforms

Cost: $2250 for both courses, $1250 for one course

Payment is due at the time of registration and includes program materials. Both courses must be registered for at the same time to receive discount.

Registration deadlines:

Introduction to Data Science – January 24, 2022 at 11:59 pm CST

Introduction to Machine Learning – March 25, 2022 at 11:59 pm CST

CEUs: Program will result in approximately 35 total hours of learning time. Certificate of completion will be provided to students successfully meeting learning outcomes in both courses. For questions about CEUs, please email profed@k-state.edu.

Technical requirements: The online training software operates on any Mac or PC system. Your system must have speakers with sound enabled. You will need a microphone (webcam optional) to participate in the program. You will need an internet connection, broadband wired or wireless (3G or 4G/LTE) is recommended.

You will need to download the following free software for the program. Please review the system requirements for each software application.

Github

Replit

Zoom

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.

Contact Us

Professional Education and Outreach

profed@k-state.edu

Office Hours

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