K-State Salina

Introduction to Data Science

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.

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Course Dates

Course Dates: October 23 - November 17, 2023

Modality: Fully virtual program, with asynchronous lessons and a weekly, live one-hour instruction session. Estimate time committment is 4-5 hours per week.

Cost: $2250 for both courses (Introduction to Data Science & Introduction to Machine Learning)

or
$1250 for only Introduction to Data Science

Registration deadline: October 21, 2023 at 11:59 pm CST

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.

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Professional Certificate Microcredential

Program will result in approximately 35 total hours of learning time. A K-State microcredential will be provided to students successfully meeting learning outcomes in both courses. For questions about the microcredential, please email profed@k-state.edu.

Instructor

Spencer Hodapp
Data Science Graduate Student, UC Berkeley School of Information

Spencer Hodapp is a graduate student studying Information & Data Science with the 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.

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.

  • Microsoft SQL Server Express (MSSQL, free)
  • Azure Data Studio (Extensions: Admin Pack, SandDance, Machine Learning) (free)
  • AdventureWorks Database: Customer, Manufacturing, Production, & Sales (free)
  • Github Account & Github Desktop Application (free)
  • Slack (free)
  • Zoom Video Conferencing Software (free)