NEW from Maven Analytics on Medium!

ICYMI: Learning Data with Maven Analytics is a Medium publication where our community can share their knowledge and find even MORE great content from Team Maven!

We’ve been hard at work with some pretty awesome things the last few weeks (have you checked out our NEW data literacy course yet? It’s FREE until March 31st!!), and we’ve got even more on the way!

Here’s some of the content you may have missed in the meantime:

New from Stacy Giroux :

“Average is a common go-to calculation for data analysts. It’s so powerful because it allows us to summarize large data sets into a single number making it easier to communicate and be understood by our audience.

Because we are so used to seeing data summarized into an average, it’s not surprising that we can fall into the trap of thinking that it’s always appropriate to use. However, experience has taught me that defaulting to using an average calculation without first evaluating if it’s appropriate can [inadvertently] result in misleading summarizations.

So, the next time you’re thinking of calculating the average of a dataset, pause first and consider the following…”

>> Read the Article <<

New from Margaret Efron :

“Wait, customer service as a data analyst? But I’m not working in retail! I’m not even working at the IT help desk,” you may be saying to yourself.

Not so fast.

Customer service is a crucial skill for anyone in the tech industry who interacts with other people. You may not be a sales rep for a start-up. You may not even have any “customers” per se — but you still work with other people who need your assistance on tech issues.

To foster healthy relationships with your coworkers and clients, it’s important to remember the tenets of good customer service. You want to be helpful and pleasant to work with — but not in a way that leads to professional burnout.

Read on for my top 5 tips on how to deliver excellent customer service as a data analyst.”

>> Read the Article <<

New from Chris Bruehl :

“Data analysts and data scientists work together frequently, but what exactly is the line separates them?

Most folks would say data scientists have stronger backgrounds in coding, math, and statistics, and I would agree.

But is it fair to say that analysts (or data professionals as a whole) could benefit from an understanding of data science techniques?

In my opinion, absolutely! While the average analyst may not have the same depth of knowledge of math and statistics as the average data scientist, I would argue analysts have a huge incentive to augment their skills with Data science techniques.

Lets take a look at a few data science techniques that analyst can use to increase the impact of their research.”

>> Read the Article <<

New from Komal Kumari :

“Right now, ChatGPT is at a stage where Google was in its initial years. And yes, it has immense potential to transform the manner in which we think and work.”

>> Read the Article <<

New from Simisani Ndaba :

“R -Ladies Gaborone recently talked to Dr. Chipo Zibana who is a trained statistician with a passion to bring data driven solutions for sustainable development through engagement, collaboration and consulting services. Her long term goal is to be able to understand different complex social and health problems using statistical methods such as, Machine learning, Data Mining, Big Data and Statistical Modelling among others. Her research and publications focus on the prediction and understanding of disease epidemiology and health for COVID-19, HIV, heart disease, Tuberculosis and breast cancer.

This is her experience teaching R programming at the Botswana International University of Science and Technology (BIUST). BUIST is the second largest university in Botswana, established in 2006, was envisaged to be one of the key drivers in bringing about a fundamental transformation of Botswana as a catalyst for economic and social development. BIUST was established mainly to transform the country’s economy from a resource based to a knowledge-based economy.”

>> Read the Article <<

Be sure to follow the publication and keep your eyes peeled; more great content is coming next week!

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