Interesting Data Gigs # 39: 7 resources to become a Data Analytics pro
From online courses to online bootcamps to cohort courses
Hello, Data Geek.
Today, I want to do something different, thanks to a recommendation from one of you.
This issue won’t be focused on a particular open position, but on some resources that will help you advance your career in Data Analytics.
From online courses to online bootcamps, this will cement your knowledge if you are an experienced professional in the field, and it will revamp your skills if you are starting.
This won’t be focused on a single role here. The idea is to share a very diverse group of resources that could be helpful for Data Engineers, Data Scientists, Data Analytics, Business Intelligence Engineers, Data Visualization experts, and much more.
Enough from me now.
Let’s share the resources.
The selling point here is very simple: You will have the chance to learn from one of the best professionals in the Data Engineering space.
Zach has created a very interesting format for this bootcamp by putting a real emphasis on real-world scenarios and skills that definitely you will use as a Data Engineer like Dimensional Data Modeling, Apache Spark, Scala, Scheduling, and much more.
But the big takeaway here is: Focus on the fundamentals first: The tools change every single day, but the fundamentals always will be there.
Highly recommended for experienced Data Engineers.
Disclaimer: This is not a beginner course. You need real experience to take advantage of this course.
Duration: 6 weeks
Cost: $900 USD. Again: it’s not for everyone, but there are some good gems inside the Discord community as well. You can join here.
If you need a review for it, you can read this post from Scott DeGeest
According to its definition: DataOps is an Agile approach to designing, implementing, and maintaining a distributed data architecture that will support a wide range of open-source tools and frameworks in production. The goal of DataOps is to create business value from big data.
But the theory is one thing and the practice is another one.
With this course from Sarah, you will use an actual example of how to do DataOps in a production environment.
Format: Online video course
dbt has become a very popular tool in the Data Engineering space, so a practical course like this one could be very helpful for your career.
Format: Online video course
Cost: $264 for 12 months of access to the Data Engineering Academy, $480 for Unlimited access
Jump Into Data Science in Python, by Dr. Elena Tej Grewal (ex-Head of Data Science at Airbnb) and Sarah McGowan (ex-Bain Consultant)
Elena is a former Head of Data Science at Airbnb, where Machine Learning and Data Science have made a huge impact on the business, and Sarah was a Data Science consultant at Bain.
Both of them have an extensive experience in this field, so a cohort course with them is a terrific way to learn directly from them.
Duration: 3 weeks
Data Visualization is a key aspect of the Data Analytics space, and Tableau has become one of the standard tools for it.
Nicole’s experience here can help you to understand the nuances of Data Visualization, especially when to use it, and which are the best type of graphics to use for a particular problem (one of the most common problems when people start working with it.)
Duration: 6 weeks
The first time I heard the “Data Storytelling” term, I fell in love with it. From my perspective, this is a skill that everyone in the Data field must master.
Why? Because you can have all the best datasets in the world: if you can’t present it in a clear and concise way, this could be a waste.
So, Evelina is doing an incredible job here with this cohort course.
Duration: 2 weeks
Cost: 499 Euros
If you are a Data Scientist today or you are aspiring to become one in the future, you must follow the work of Daliana.
She is constantly sharing a lot of practical tips about how to advance in your career as a Data Scientist, but if you truly analyze her strategy, this could be translated to any role in the Data Analytics field.
This cohort course is not an exception.
My other recommendations?
Enough for today, but if you have another good resource of this kind, reply to this email, and will add it here.
Job Search Resources of the Week
Are you looking for a new role in the Data space? Join our Talent Collective, where your profile can be seen for companies like Census, Rippling, Clipboard Health, Attio, AgnosticiQ, and more.
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Q&A from subscribers
This question came from Jimmy S.
Can you share open positions from EU-based companies?
Here are some of the positions I’ve found:
Product Lead, Portugal (Remote Portugal) at Rippling: Check our posts about Rippling here and here
Other beehiiv-based newsletters you should check out
Interesting reads of the week
So excited to get to present at the apply(risk) conference hosted by @TectonAI!
I'll be talking about some of the lessons I've learned from building ML models and software for risk over the past decade.
Hope to see you there! 🤠
— Francisco Javier Arceo (@franciscojarceo)
May 11, 2023
Good luck in your job search, Data Geek.
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