Tag Archives: career development

Classification Crosswalks: Strategies in Data Transformation

What if you have too many categories in a categorical variable? Your cardinality is too high for a chi-square analysis.

Classification crosswalks are easy to make, and can help you reduce cardinality in categorical variables, making for insightful data science portfolio projects with only descriptive statistics. Read my blog post for guidance!

Data Science Coaching: Improve your Grade – or your Career!

Sometimes college students need an academic coach, but other times, career professionals need advice from a peer.

Data science coaching for the right person at the right time can empower them to quickly turn around their grades in college, immediately wrap up a portfolio project, or springboard their career into management or higher! Read my blog to see how.

Free Learning Resources Online for the Do-it-Yourself Data Scientist

Do you like to learn new programming languages on your own? Then you will enjoy using our free online learning resources for data science.

Free learning resources for data scientists are available online on my blog and YouTube channel! Try my free online courses, and subscribe to my weekly e-newsletter!

R for Logistic Regression: Example from Epidemiology and Biostatistics

Logistic regression calculate the log odds of the probability of the outcome. Many people are used to using SAS for logistic regression, but you can also use R.

R for logistic regression in health data analytics is a reasonable choice, if you know what packages to use. You don’t have to use SAS! My blog post provides you example R code and a tutorial!

Portfolio Project Examples for Independent Data Science Projects

Are you a data scientist who is interested in doing independent portfolio projects to sharpen your skills? Then I strongly suggest you get a coach or a mentor.

Portfolio project examples are sometimes needed for newbies in data science who are looking to complete independent projects. This blog post provides some great examples of independent projects you can do with datasets available online!

Internship Strategy for Data Science: Download our Guide!

In data science, you can learn applied skills by being part of an internship at a noted organization.

Internship strategy for data science is not obvious, and even if you are in a college program, they often expect you to find your own internship. Download our internship strategy guide and get the experience you want!

Understanding Legacy Data in a Relational World

Data systems started being in use in the 1960s and 1970s, but these were flat systems, usually using IBM mainframes.

Understanding legacy data is necessary if you want to analyze datasets that are extracted from old systems. This knowledge is still relevant, as we still use these old systems today, as I discuss in my blog post.

Reducing Query Cost (and Making Better Use of Your Time)

Slow queries can happen in SAS, R, Python, SQL or any database language. These slow queries have a cost.

Reducing query cost is especially important in SAS – but do you know how to do it, or what it even means? Read my blog post to learn why this is important in health data analytics.

Statistics Trivia for Data Scientists

Public health, artificial intelligence, and data science trivia! Fun! Educational! Test your knowledge!

Statistics trivia for data scientists will refresh your memory from the courses you’ve taken – or maybe teach you something new! Visit my blog to find out!

Management Tips for Data Scientists

When working in data science, there are some tips and tricks to managing your communication and relationship with superiors that can help you advance in your career.

Management tips for data scientists can be used by anyone – at work and in your personal life! Get the details in my blog post.

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