In the 5 day challenge, questions will be provided each day to make your first steps in basic data science and practice your skills.
Don’t worry it’s not rocket science - with the power of SAS® University Edition all students are welcome! A detailed guide for each challenge will be provided
asking to analyse some datasets and then answer questions using SAS® University Edition.
Follow us on Facebook and come back daily from Monday 16th July to discover the latest question and submit your answer.
You could win 1 of 5 daily prizes of $100 EFTPOS card each, and 1 major prize consisting of 1 x $500 EFTPOS card.
Follow these 5 simple steps to take part
Register for the competition.
Analyse and have fun.
Submit your daily answers.
The competition has now ended!
All winners will be contacted via email and announced on our Facebook.
Problems?
Contact ANZ Academic Team: academic@oz.sas.com
Day 1 Challenge
You and your friend (let’s call him) Kenny, have decided to start an online website that aggregates movie and TV show data streamed by Netflix.
Kenny read an article that SAS University Edition would be the perfect free tool to analyse the data he has collected from Netflix before uploading it to the website’s database.
Before you upload the data, you’ll need to see what data you’re working with. You’ll import and clean the data by sorting, filtering and visualising some variables.
What are you waiting for? Let’s get to work!
Download today's detailed guide
Summary of Skills Demonstrated
- Importing data
- Filtering data
- Sorting data
- Generating a simple bar chart
Stay up to date
The following challenge will be released on our Facebook daily.
Submission details
Submissions close Monday, 23rd July 2018, 12:00pm.
Go to the submission form
Technical Questions & Tips
Visit our SAS Analytics U community site to get more information and hints for every daily task.
Problems?
Contact ANZ Academic Team: academic@oz.sas.com
Do you need assistance downloading SAS University Edition? You can find answers to our most commonly asked questions in our FAQ.
Day 2 Challenge
You and your friend (let's call him) Kenny, have decided to start an online website that aggregates movie and TV show data, streamed by Netflix.
You have conducted some preliminary analysis on the Netflix data, but it doesn’t look quite right. You notice the data only includes releases from 1940 to 2015. Titles with later releases are not in the data set.
Kenny explains there were some issues with the data and he sends you the data containing the 2016 releases in a csv file. You’ll need to import the csv file into SAS as a data set.
Let’s get the 2016 releases into SAS for further analysis.
Download today's detailed guide
Summary of Skills Demonstrated
- Importing a delimited file
- Recoding values
- Generating a Pie Chart
Stay up to date
The following challenge will be released on our Facebook daily.
Submission details
Submissions close Monday, 23rd July 2018, 12:00pm.
Go to the submission form
Technical Questions & Tips
Visit our SAS Analytics U community site to get more information and hints for every daily task.
Problems?
Contact ANZ Academic Team: academic@oz.sas.com
Do you need assistance downloading SAS University Edition? You can find answers to our most commonly asked questions in our FAQ.
Day 3 Challenge
You and your friend (let's call him) Kenny, have decided to start an online website that aggregates movie and TV show data, streamed by Netflix.
Kenny finished up with the 2017 releases data and sent it over to you today. You need to import this file to run a quick analysis on the data just like the other data. You notice that the delimiter in this file is different to the 2016 data. Kenny asks if you can merge the data sets together so the data can be uploaded to the website in one file.
Kenny also wants you to analyse the user rating scores of movies over the years to see which year has produced the best movies.
Let’s get on it!
Download today's detailed guide
Summary of Skills Demonstrated
- Importing a delimited file
- Joining data sets
- Filtering data sets
- Understanding variable types
- Graphing with bar chart
Stay up to date
The following challenge will be released on our Facebook daily.
Submission details
Submissions close Monday, 23rd July 2018, 12:00pm.
Go to the submission form
Technical Questions & Tips
Visit our SAS Analytics U community site to get more information and hints for every daily task.
Problems?
Contact ANZ Academic Team: academic@oz.sas.com
Do you need assistance downloading SAS University Edition? You can find answers to our most commonly asked questions in our FAQ.
Day 4 Challenge
You and your friend (let’s call him) Kenny, have decided to start an online website that aggregates movie and TV show data streamed by Netflix.
So far, you have conducted preliminary analysis on the individual data sets and managed to append them into one large data set. Kenny calls to inform you that he is still configuring the website’s database. Meanwhile, Kenny wants you to carry out further exploratory analysis of the appended data set.
You tell him that will be easy! Let’s go!
Download today's detailed guide
Summary of Skills Demonstrated
- Exploring data using summary statistics
- Exploring data using graph tasks
Stay up to date
The following challenge will be released on our Facebook daily.
Submission details
Submissions close Monday, 23rd July 2018, 12:00pm.
Go to the submission form
Technical Questions & Tips
Visit our SAS Analytics U community site to get more information and hints for every daily task.
Problems?
Contact ANZ Academic Team: academic@oz.sas.com
Do you need assistance downloading SAS University Edition? You can find answers to our most commonly asked questions in our FAQ.
Day 5 Challenge
You and your friend (let’s call him) Kenny, have decided to start an online website that aggregates movie and TV show data streamed by Netflix.
Over the last few days, you have conducted preliminary analysis on the individual data sets, appended them into one large dataset, and finally, impressed Kenny with some summary statistics. Kenny has advised you that the database is just about ready, but he’d like to see some graphical analysis and would like to know which Netflix titles have the highest rating.
You agree and get started!
Download today's detailed guide
Summary of Skills Demonstrated
- Use box plots to visualize summary statistics for groups.
- Be able to Query the data.
Stay up to date
The following challenge will be released on our Facebook daily.
Submission details
Submissions close Monday, 23rd July 2018, 12:00pm.
Go to the submission form
Technical Questions & Tips
Visit our SAS Analytics U community site to get more information and hints for every daily task.
Problems?
Contact ANZ Academic Team: academic@oz.sas.com
Do you need assistance downloading SAS University Edition? You can find answers to our most commonly asked questions in our FAQ.
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