Getting Curious About Data

Completed by 58 learners

Ages 12-16

Live Group Class

This is a data literacy class that is geared to awaken and foster data curiosity.

Women in Data

Average rating:

5.0

Number of reviews:

(3 reviews)

Live video meetings

1x per week, 4 weeks

10-15 learners per class

60 min

About Learning Overview Teacher Reviews

What's included

4 live meetings

4 in-class hours

Homework

1 hour per week. Students have the optional challenge activity given after each lesson to dive deeper into the data experience.

Class Experience

We will go on a curated 4-week journey that will allow us to:
 - Explore data careers and careers using data
 - Learn what is data science and see applications of data science
 - Collect data and the share the data story
 - Ask stronger questions to increase data insight

This curriculum was developed by Women in Data as an initiative to awaken and foster data curiosity!

Lesson 1: What is data and why does it matter?
Students will learn about data and how it is applied in careers. In this lesson, students will also view different visualizations of data and learn how data visualizations make data more accessible.


Lesson 2: Data Careers/Career Videos
Students will identify how different industries and professions utilize data. Students will also celebrate characteristics that make people successful in careers with data and the characteristics that make each of us successful. 


Lesson 3:  Data Literacy
Students will learn terms to know and identify the components of a Google Sheet/Excel Sheet (rows, columns, tool bars, etc.) They will share interests for data collection mini project. 


Lesson 4: Using Data to Answer Questions: Putting it all together
Students collaborate and share questions that data can answer. They also brainstorm ways to go about answering those questions with data.

Learning Goals

- Students will explore data careers, learn what is data science and see applications of data science. They will also collect data and the share the data story and ask stronger questions to increase data insight.

Other Details

Supply List

Learners will need a computer with internet access where the learner can use Google Drive and Google Sheets. Families can reference this article for more information on how to manage kids' Google accounts: https://families.google.com/familylink/privacy/notice/

Language of Instruction

English

External Resources

In addition to the Outschool classroom, this class uses:

Offered by

Women in Data

Joined January, 2022

5.0

3reviews

Profile

Teacher expertise and credentials

Our teachers have the experience and the passion to teach on Data Science/Data related fields. Each of our teachers have 5+ years of experience in Data Science. Some have a background in teaching prior to their shift into Data Science roles such as: Data Analyst, Chief Data Officer, Business Analyst, etc. Our teachers have given talks to our global community and have spoken at numerous events on data. Our teachers are passionate about sharing their knowledge in Data Science to the next generation.