Phil Supinski discusses the top 5 data science publications you should read in this in-depth presentation. For more information, please visit PhillipSupinski.com!

1. Top 5 Data Science Publications
You Should Read
PHILLIPSUPINSKI.COM

2. Introduction
When starting or advancing your data science career it is crucial you read.
Data scientists constantly read and explore what’s happening in the rapidly
changing data landscape. Ask any data scientist and they’ll agree.
If you’re just getting started in the field or would like to advance farther,
understanding current industry trends can set you apart in the job
interview process. This will determine whether you’re someone who is
engaged and knowledgeable about the data science space.
Working in this field takes a great deal of effort by staying on top of the
latest news. This is how you stay competitive, remain valuable, and grow
your expertise.
Luckily, there are many resources in the form of data science blogs and
publications out there producing an enormous amount of information. It is
easy to get lost, and hard to know where to go for the best stories. Many
data scientist know where to spend their time best.
Below are the top five recommendations gathered from many established
data scientists. Try to pick two off of this list and read them on a regular
basis. Then before you know it, you will be well versed in all things data
science!

3. Information about data, data science, and
analytics can be found in this weekly email
from The Analytics Dispatch. It is curated by the
team at Mode Analytics, a leading enterprise
analytics company. The reason why this one
makes the list is that of its clear organization and
focus on practical analytics advice for data
analysts and data scientists.
P H I L L I P S U P I N S K I . C O M
The Analytics
Dispatch

4. Lon Riesberg, ex-NASA data scientist, Data
Elixir is a weekly newsletter of curated data
science news and resources from around the
web. Elixir makes this list because of the frequent
posts. The content is also very categorized and
easily searchable.
Data Elixir
P H I L L I P S U P I N S K I . C O M

5. O’Reilly has a team of experts and innovators
sharing their knowledge and expertise on a
variety of topic areas related to technology.
O’Reilly has many different resources including
a blog, newsletter, and podcast. Each contains
valuable discussions about many topics of
interests related to big data and data science.
P H I L L I P S U P I N S K I . C O M
O’Reilly
Newsletter

6. Curated by Hannah Brooks and Sebastian
Gutierrez, Data Science Weekly shares recent
news, articles, and jobs related to Data Science.
This resource is great because you can see jobs in
the industry and useful training tools.
Data Science
Weekly
P H I L L I P S U P I N S K I . C O M

7. This is an online community, created by Kunal
Jain, dedicated to the study of analytics. Analytics
Vidhya includes training, tips and tricks, case
studies, and interviews with analytics leaders.
P H I L L I P S U P I N S K I . C O M
Analytics
Vidhya

8. Thank you!
For more information,
Please Visit:
PHILLIPSUPINSKI.COM