Classes Data & Analytics
Data Literacy
- 1 days
- 1 upcoming date
- 1 guaranteed to run
- May qualify for CEU/PDU credit
Upcoming dates
All times shown in the class's own timezone. 1 of 1 are guaranteed to run, meaning they go ahead regardless of enrollment.
| Dates | Starts | Where | Status | Seat | Book |
|---|---|---|---|---|---|
| Thu, Jan 14 | 9:00 AM to 5:00 PM EST | Live virtual | GUARANTEED | $795 |
About this class
We have 1 scheduled date of Data Literacy, starting Thu, Jan 14. It is guaranteed to run regardless of enrollment. Seats are $795 each over 1 day, courseware included. Book online with a card, or send a purchase order and we will invoice on net 30 terms.
In the future, organizations that succeed will be those that put data at the forefront of their business strategy. This Data Literacy training is designed to give you a high level overview of the key topics in Data Science and Machine Learning. 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. 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!
What you'll be able to do
By the end of this course, you will have a solid understanding of data literacy fundamentals, enabling you to interpret and communicate data effectively. You'll learn to recognize different data types, identify patterns, assess data quality, and make informed business decisions. This course also covers basic data visualization techniques to help present insights clearly.
Course outline
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
Before you attend
No prior experience with data analysis is required. This course is designed for beginners and professionals looking to build foundational data skills.
Who this is for
This course is ideal for business professionals, analysts, managers, and anyone who works with data but does not have a technical background. If you want to develop confidence in using data to support your decisions, this training is for you.
How reserving works. Your card is authorized, not charged. We confirm the seat with the training center, usually within one business day, and take payment only once it is held. If the class turns out to be full we release the authorization and you are not charged.
Request a quote
Tell us how many people and roughly when. We'll come back with dates, seat price, and a total by the end of the next business day.