Become a data scientist without a PhD: Part 2

Remember that $1.2 trillion business value of AI? Just released, a new set of data science labs zoom in on Google Cloud’s data science and ML tools.  Enroll in the Data Science on GCP: Machine Learning quest by Monday, November 15th and you’ll get 1 month pass to Qwiklabs (free of charge, no CC required). You’ll run machine learning jobs with state-of-the-art tools and real-world data sets.

There are over 8,500 Data Scientist jobs on LinkedIn. 68% of those jobs require machine learning expertise. As a data scientist, you will transform data to:

  • Improve revenue, business agility, customer experience
  • Reduce costs
  • Development of new products and or product features

Don’t have these skills, or want to improve? You don’t need a PhD. Learn how to do all of these things and more with a lab. Here are some of the labs:

  1. Machine Learning with Spark on Google Cloud Dataproc lab: Analyze data using Spark with the PySpark interactive shell on the master node of the Cloud Dataproc cluster running on Google Cloud Datalab:

Then create and train a Spark Dataframe by importing, developing, saving and restoring a logistic regression model. You will then build data visualizations with Jupyter notebooks. In your model, does the on-time arrival probability rise with overall flight distance? Share your results @Qwiklabs!

2. Processing Time Windowed Data with Apache Beam and Cloud Dataflow (Java): You’ll configure Maven Apache using the starter project archetype for Cloud Dataflow projects:

Patience! This will take a few minutes to compile… When the build is successful, you should see something like this:

Finally! You’re ready to deploy a Java application to Apache Beam to create training and test data files.

If you are successful, you should see these files. Did you get it? Share your results! @Qwiklabs.

3. Bayes Classification with Cloud Datalab, Spark and Pig on Google Cloud Dataproc: Have you ever performed quantization of a data set? Here’s your chance. Use Dataproc, Datalab and Spark to perform quantization of a dataset to improve the accuracy of a data model. Then visualize your data with Jupyter notebooks and Apache Pig:

And don’t forget about part 1, the Data Science on GCP quest. Both quests cover the hands-on exercises described in Data Science on Google Cloud Platform book by Valliappa Lakshmanan (Lak).

New Quest: G Suite Integrations

G Suite has over 4 million customers today, and growing.  Are you one of them? Get the most out of G Suite and Google Cloud’s powerful tools. Just released, the G Suite: Integrations quest features 8 new G Suite labs, each one designed to make you look smarter than the one before. Get G Suite training on advanced tools like integrating BigQuery and Google Slides for data visualization and building your own custom apps for Google Sheets.

Complete all 8 labs and add the new G Suite badge to your resume. And if you’re one of the first 100 people to enroll using this link, you will receive 50 Qwiklabs credits free of charge (enough to complete the quest). Enroll now.

Here’s some of what you’ll do:

  1. Learn how to write code that accesses Google developer technologies, in just 4 lines of JavaScript.
  2. Use the Apps Script CLI, or clasp, to create and publish web apps and add-ons for products like Sheets, Docs, Forms, and Slides from the command line. In this lab you will learn to create, edit, and deploy Apps Script projects locally.
  3. Build a chatbot for Hangouts Chat. This one is “Attendance Bot” – you will learn to integrate it with a user’s vacation responder and meetings in Calendar. What kind of chatbot would improve your daily routine (and maybe lunchbreak)?
  4. Got a presentation coming up? Use Google Slides API as a Custom Presentation Tool. Learn to build a presentation using the Google Slides API and BigQuery to present an analysis of the most common software licenses. Take what you learn in the lab to your next presentation and knock your stakeholders’ socks off.
  5. More Big Data and Slides – learn how to leverage two Google developer platforms, G Suite and Google Cloud Platform (GCP), to collect, analyze and present data.                                                                                          
  6. Good luck on your quest! And don’t forget to share your badge when you complete it – @Qwiklabs – after all, you earned it.