Data Literacy

Price
$795.00

Duration
1 Day

 

Delivery Methods
Virtual Instructor Led
Private Group

Course Overview

Data literacy is the ability to read, understand, create, and communicate data as information. Much like literacy as a general concept, data literacy focuses on the competencies involved in working with data. This Data Literacy training is designed to give you a high level overview of the key topics in Data Science and Machine Learning.

Course Objectives

  • In this course you’ll learn the fundamental concepts relating to data, allowing you to understand what makes data suitable for data analysis, visualization and machine learning.
  • Then we’ll give you a quick overview of important statistical topics, such as mean, standard deviation, and the normal distribution.
  • Afterwards you will learn the different ways data scientists are able to visualize data to convey their ideas in a clear manner.
  • We’ll also teach you about the machine learning process, acquiring data, cleaning data, and an overview of the train/test split philosophy that supervised learning adheres to.
  • Then we’ll show you some examples of regression and classification algorithms, as well as how to evaluate their results.
  • We’ll also explore what the future holds by taking a peek at the bleeding edge of AI and ML, including DALLE-2 and GPT-3!

Who Should Attend?

Designed exclusively for students who want to learn about the basics of data science and machine learning at a high level, without needing to learn how to code or cover complex mathematics.

United Training is committed to working as a partner with our clients. Choose United Training and take advantage of the following benefits.

  • Robust Public Enrollment Schedule. Enjoy access to hundreds of Guaranteed to Run dates across a diverse catalog of course titles.
  • Private Group Training. Let our world-class instructors come to you to deliver training at your place of business or we can present to your team online using our Virtual Instructor-Led Training platform.
  • Custom Training Solutions. Our subject matter experts can customize the class to specifically address the unique goals of your team.
  • Free Re-Takes. Most completed United Training courses carry our unbeatable Learning Guarantee. This guarantee allows students to repeat most United Training courses, if they are the same version, FREE OF CHARGE, within six months of completion of the courses. Exceptions: Cisco, Citrix, VMware, Red Hat, and courses provided by affiliated 3rd party training providers. Courses delivered by Watermark Learning, Pierian Training, and Project Management Academy can be retaken for 50% of retail price.

Learning Credits: Learning Credits can be purchased well in advance of your training date to avoid having to commit to specific courses or dates. Learning Credits allow you to secure your training budget for an entire year while eliminating the administrative headache of paying for individual classes. They can also be redeemed for a full year from the date of purchase. If you have previously purchased a Learning Credit agreement with United Training, you may use a portion of your agreement to pay for this class.

Corporate Tech Pass: Our Corporate Tech Pass includes unlimited attendance for a single person, in the following Virtual Instructor Led course types: Microsoft Office, Microsoft Technical, CompTIA, Project Management, SharePoint, ITIL, Certified Ethical Hacker, Certified Hacking Forensics Investigator, Java, Professional Development Courses and more. The full list of eligible course titles can be found at https://unitedtraining.com/eligible.

If you have questions about Learning Credits or our Corporate Tech Pass, please contact your Account Manager.

Course Prerequisites

There are no prerequisites for this course.

Agenda

  • Data and Opportunities
  • Data Quality
  • Understanding Big Data
  • Data Measurements
    • Understanding Central Tendency
    • Understanding Dispersion
    • Understanding Data Analysis
    • Tour of Data Visualizations
    • Probability and Uncertainty
    • Testing theories and hypotheses
  • Probability and Statistics Overview
  • Machine Learning Overview
  • Understanding Machine Learning Concepts
  • Supervised Learning Overview
  • Unsupervised Learning Overview
  • Dimensionality Reduction Overview
  • The Future of Data, ML, and AI
  • Overview of Deep Learning Concepts
  • What’s next for AI and ML
 

Upcoming Class Dates and Times

Mar 11
9:00 AM - 5:00 PM
ENROLL $795.00
 


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