Participate in the US and Canada 2024 Learn-A-Thon in Introduction to Data Science on Skills for All to give your students an opportunity to learn about data science and position themselves for a career in this lucrative and satisfying field. Academies can be part of the change and help fill the global skills shortage to build the technology workforce of tomorrow. Upskilling students is easy, low in cost and only takes 6-hours through this Learn-A-Thon competition.
Before registering to participate in the Learn-A-Thon, please read the terms and conditions and watch this Skills for All short video to help you get started. Additional details are also available in this Promotional Flyer and to help our instructors new to Skills For All, they can get started using this How to Guide for Educators.
Learn-A-Thon Begins
Students who participate in the Learn-A-Thon and pass the Introduction to Data Science course exam with a 70% or above on any attempt will be awarded an Introduction to Data Science digital badge. Students that participate in the Learn-A-Thon will receive a Cisco Learn-A-Thon experience digital badge. A Cisco digital badge is an emblem distinguishing an achievement that can be shared and validated digitally on LinkedIn, X, Facebook, Xing, resumes, college applications, email signatures, via Email, shared link; embed code into web page or blog.
The Introduction to Data Science on skillsforall.com
Length of Learn-A-Thon
Participate in the Learn-A-Thon from February 12th until February 26th, 2024
6-hour self-paced intro course
Take students inside the world of data science to explore the basics of data science, data analytics, and data engineering to understand how machine learning is shaping the future of business, healthcare, education, and more. Multiple activities and quizzes engage students and reinforce learning.
Benefits of Introduction to Data Science
Data science professionals who can provide actionable insights for data-driven decisions are in high demand all over the world.
Free to join
The cost to join the Learn-A-Thon is free.
In-Demand Skills
One of the most popular industries for new jobs and high salaries right now.
Participant Level
Beginner
After the Learn-A-Thon, we encourage students to continue on their Data Analyst, Scientist and Engineering journey by taking Data Analytics Essentials as a next step.
Frequently Asked Questions Why should Instructors participate in a free Learn-A-Thon? Help grow your Academies through a fun competition using the free Introduction to Data Science courses on Skills for All. There are great prizes available for the Instructors with the most student participants.
Why should Instructors encourage their students to participate? To help fill the technology skills gap in Data Science. Data science jobs ranks No. 3 among the 50 best occupations in the U.S., with entry level salaries between $46,000 to $90,000 a year. Offer your students a fast, fun way to learn and gain the skills that employers are looking for right now.
What will the course cover? This introductory, self-paced course takes you inside the world of data science. You will learn the basics of data science, data analytics, and data engineering to understand how machine learning is shaping the future of business, healthcare, education, and more.
Everyone who participates will receive a Learn-a-Thon Experience badge. Students who pass the course with a score of 70% or higher on any attempt at the final (and leave course feedback) will also receive a Cisco Introduction to Data Science digital badge, which validates their learning. Badges can be shared on LinkedIn, X, Facebook, Xing, email signatures, and the web.
What will students receive if they take the self-paced course? How can students continue their learning after the Learn-a-thon? Students can take advantage of our beginner level 30 hour Data Analytics Essentials. By the end of the course, students will not only earn a digital badge but also have an analytics portfolio complete with an analysis of the popular movies dataset, showcasing their skills in Excel, SQL and Tableau.
