Tag Archives: microsoft

Course Launch – Intro to Azure ML Studio with Regression

Online courses are a great way to share knowledge with others; that is why I have decided to launch a few courses. The first course is Intro to Azure ML Studio – Regression. This is a smaller course and should take about 2 hours to complete.

Azure ML Studio is a drag-and-drop interface for doing machine learning.

Topics are all based upon Azure ML Studio, and they include:

  • Linear Regression
  • Linear Correlation
  • Feature Selection
  • Splitting Data
  • Evaluating a model

Use the code BLOGREADER to save 30%.

My Experience Taking Microsoft DP-100: Designing and Implementing a Data Science Solution on Azure

I took and passed DP-100 during the beta period. I recorded a live video talking about my experience. Below is that section of the live video. Also, here are the main topics:

  • Azure ML Studio
  • Machine Learning
  • Python
  • High-level knowledge of Azure Products

Also, if you want a checklist to prepare for the exam, I have created one, it is free.

Data Science News for May 2019

Here is the latest data science news for May 2019.

From Data Science 101

General Data Science

What is on the Microsoft Data Science Certification Exam?

I took and passed the exam during the beta period. These are my memories of the topics on the exam. You can get this information as the Microsoft Azure Data Scientist Checklist.

General Overview

Below is the basic structure of the DP-100: Designing and Implementing a Data Science Solution on Azure. Passing the exam will qualify you for the Azure Data Scientist Associate certification. It can be taken in a traditional exam center or at your home (but you will be watched via video camera).

  • 180 minutes
  • 60 questions (45 Q&A, 15 about Case Studies)

The exam can be broken down into 4 components: Machine Learning, Azure ML Studio, Azure Products, and Python. Below is a breakdown of the topics I remember from the exam.

Machine Learning

These are topics which would be covered in a traditional machine learning course. Here are some of the specific topics I remember.

  • Evaluation of Linear Regression
  • Evaluation of Classification
  • Positive/negative skew
  • Poisson regression
  • Fisher’s exact test
  • Pearson
  • PCA
  • Deep learning – high-level, what is is for
  • Neural Networks (RNN vs CNN vs DCN vs GAN)

Azure ML Studio

Azure ML Studio is a major focus of the exam, so you need to be fluent in how to use it. Questions ranged from the basics of how to import data all the way to specifics about certain modules.

  • Model Building
  • Model Evalutation
  • SMOTE
  • MICE
  • feature extraction
  • missing data questions
  • AutoML

Azure Products

There were a number of questions from this category. The question would present you a scenario problem and ask which products would be useful for solving the problem. The questions did not go very deep into any of the products, but you will need to know the purpose of these products.

  • Azure Machine Learning Service
  • Blob storage – specifically how to get data in/out
  • Azure Notebooks
  • Azure Cognitive Services (high level)
  • Kubernetes
  • HDInsight
  • Data Science Virtual Machine

Python

Python was the language of choice for the exam, so focus on it.

  • Scikit-learn
  • Azure Machine Learning SDK for Python
  • Hyperparameters

Not on the exam

The following topics were not covered on my exam. The exam questions are pulled from a pool of questions, so it is possible these topics may be cover on a different person’s exam. In any case, these are definitely not major portions of the exam.

  • R
  • Power BI
  • Publishing Azure ML models

Again, if you want this information in an easy to follow checklist, just visit, Microsoft Azure Data Scientist Checklist.

Finding Azure Updates

Microsoft Azure has an abundance of data science capabilities (and non-data science capabilities). It can be challenging to keep up with the latest updates/releases. Luckily, Azure has a page to let you know exactly what has changed. You just need to know where to find it, and the following video will help you find that page.

Also, if you are still interested in earning a Microsoft Data Science Certification, join the Study Group.

Microsoft Launches Data Science Certifications

Read to the end to learn more about a new study group I will be launching.

In Late January 2019, Microsoft launched 3 new certifications aimed at Data Scientists/Engineers. For a while, Microsoft has been toying with different methods for training and credentials. They launched the Microsoft Professional Program in Data Science back in 2017. While it provides great content, it did not result in either a college diploma or an official Microsoft certification. Now Microsoft is in the process of restructing certifications to be more role-focused. Here are details about the 3 certification of interest to data scientists and data engineers.

1. Azure Data Scientist Associate

Exams Required:

For more details and to register, go to the Azure Data Scientist Associate page.

2. Azure AI Engineer Associate

Exams Required:

For more details and to register, go to the Azure AI Engineer Associate page.

3. Azure Data Engineer Associate

Exams Required:

For more details and to register, go to the AzureData Engineer Associate page.

Exam Details

As of March 2019, the exams are in beta phase and the details of what is on the exams are very sparse and vague.

New Study Group

Are you interested in taking one or all of the exams? I am organizing a study group/community. Sign up to get the latest details from Microsoft Data Science Certification Study Group.

Full Disclosure: I am not a Microsoft Employee, and this group is not sponsored or endorsed by Microsoft. I am just excited about the certifications and hoping to help others (and myself) prepare.