3 Tips for Data Science Interviews

1. Be Honest

Try not to exaggerate your skills. If the job sounds more engineering focused than you are wanting, be honest and say that. Data Science is getting very broad and you don’t want to get in a position that is a bad fit.

You often sound worse when you try to explain something you do not understand. Just be honest and say, “I have not needed to use that yet, can you explain to me when you have done that?”

Find the job you are looking for, not just any position someone is trying to fill.

2. Tell Stories of Your work

Talk about things you have built. If you built something as part of a team or project, tell about why and your involvement.

If you have a side project, talk about that. This is why side-projects are so important. They help you learn a lot, plus they give you something exciting to talk about, which only you can talk about.

3. Practice

Interviews are intimidating. There is really no way to avoid that. The best you can do is be prepared for the interview. Pramp provides a platform for practicing data science interviews. Practice makes perfect.

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.

Free Data Science University Course Notes

University can be a great way to learn data science. However, many universities are very expensive, difficult to get admitted, or not geographically feasible. Luckily, a few of them are willing to share data science, machine learning and deep learning materials online for everyone. Here is just I small list I have come across lately.

Do you have any favorite university resources? If so, please leave a comment.

Help for Academic Programs in Data Science

Brandon Rohrer (along with others) created an excellent resource for academic programs, Industry recommendations for academic data science programs. The resource is authored by a number of industry data scientists and university faculty. It is collection of useful information for college data science programs. Here are some of the topics:

Plus, the site is growing, and new information is frequently being added. If your college/university is launching a data science program, this resource is a must read.

Data Visualization Society Launches

A new community for data visualization professionals has launched. It is called the Data Visualization Society. According to the website,


The Data Visualization Society aims to collect and establish best practices and foster community to support its members as they develop their data visualization skills.

Currently, membership is free and they are looking for help growing the community. If data visualization is your thing, this society is worth exploring.