Analysts Corner
APRIL 30, 2023
Being a person who gets pumped up with every new idea, I started making a list of skillsets required to become a data analyst. What I did was something undigestible to me as well — I completed online courses in Excel, SQL, Python, Data Visualization, Data Analysis process, etc. No extra knowledge is harmful.
Smart Data Collective
OCTOBER 14, 2019
For current and future software development companies that want to be knowledgeable about using data and analysis, a few big data skillsets will help give them leverage in the coming year. Let’s take a look at the skillsets developers need to have. Big Data Skillsets. Take shopping experiences, for example.
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Analysts Corner
MARCH 2, 2023
In today’s data-driven world, analytics has become a vital skillset for professionals across various industries. From healthcare to finance, marketing to sports, the demand for individuals with a deep understanding of data analysis and interpretation has never been higher.
Data Pine
OCTOBER 21, 2020
Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. The application of big data analytics in healthcare has a lot of positive and also life-saving outcomes. 3) Real-Time Alerting.
Analysts Corner
MARCH 9, 2023
Why learning Excel is important for a career working with data Image used with permission from Hemanand Vadivel, Co-founder codebasics.io This article was first published in The Data Pub Newsletter on Substack on January 5, 2023. This is on top of the data analysis that I have done using SQL or profiling tools such as Alteryx.
Analysts Corner
MARCH 12, 2023
This time we have quite a few new articles and authors joining us, as well as a whole series of stories on data analytics: building your career and skills in data, including some hands-on tutorials on R and Python. > Keep reading… Introduction to data analytics A series of articles by Nilimesh Halder, PhD.
Sisense
JANUARY 15, 2021
The modern data team has gained traction in large part thanks to the startups in Silicon Valley that have put an emphasis on collecting, analyzing, and commoditizing data. These younger companies have invested in talent with specific data science skills, particularly with code-driven data analytics.
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