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.

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    Course Prerequisites

    There are no prerequisites for this course.

    Agenda

    1 - Data and Opportunities

    • Data Quality

    2 - Understanding Big Data

    • Data Measurements
    • Understanding Central Tendency
    • Understanding Dispersion

    3 - Understanding Data Analysis

    • Tour of Data Visualizations
    • Probability and Uncertainty
    • Testing Theories and Hypotheses

    4 - Probability and Statistics Overview

    5 - Machine Learning Overview

    • Understanding Machine Learning Concepts
    • Supervised Learning Overview
    • Unsupervised Learning Overview

    6 - The Future of Data, ML, and AI

    • Overview of Deep Learning Concepts
    • What's Next for AI and ML
     

    There are no open enrollment courses currently scheduled.
    Inquire about scheduling this course when it’s best for your team. Learn More about Private Group Training

     


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