Data Literacy

Price
$795.00 USD

Duration
1 Day

 

Delivery Methods
Virtual Instructor Led
Private Group

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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.
  • Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
  • Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
  • Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
  • Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
  • Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
  • Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.

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 New Horizons, you may use a portion of your agreement to pay for this class.

If you have questions about Learning Credits, 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

Apr 14
8:00 AM - 4:00 PM
ENROLL $795.00 USD
Guaranteed to Run
Virtual: Online - CST
 



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