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4 hacks to help you live that best online learning life

The Challenges

Data science is an exciting career, particularly for people who like to solve problems. Though the approach may be somewhat different from scientist-to-scientist or from team-to-team, generally speaking, data scientists follow a set process, refine questions, gather data, and determine the best possible answer to an analytical or research question…

Solid blue background plus repetitive icons related to salary and negotiations
All images prepared by the author, using stock images at Canva.com. Header illustration. Includes repetitive icons related to salary and negotiations.

Why many don’t conduct salary research, why you should, and four strategies that can help

Introduction

Whether you are seeking a new job, entering the workforce after an absence, or simply want a competitive advantage in negotiating your next raise, one piece of information is critical: What should your salary be?

Image Credit: “Author’s Illustration” — More on attributions.

Keep this tool in mind for the next time you need to collect new data fast

Introduction

As for many in data science, I frequently need to collect data. This new tool, originally built for market research, also offers promise for many others. Below is a review of the survey tool.

From Google Sheets/Forms, to Survey Monkey, and on towards many other options there is no shortage…

Image Source: Author’s Illustration.

What to do when your audio doesn’t match the video.

Introduction

If you have a project that involves recording videos, especially if it involves recording many videos, you might end up with a problem known as audio drift. If you are experiencing this problem I have good news, bad news, and then some more good news for you.

The Good News

The good news…

Author’s Illustration.

Method chains I use (and reuse) because they’re helpful and poetic, in a programmatic way

Introduction

As I started writing this article I originally intended to share a few common method chains I use, myself. I don’t see others use them. And I had a hunch that they would maybe be useful to others.

Towards the end of drafting, I realized this has turned into a…

I still remember the angst associated with learning Pandas and Python; hacks I wish I had earlier in my learning journey

Introduction

Getting started with Pandas and Python can be an angsty experience. In my experience, I had grown to be an intermediate-advanced programmer in Stata. It was in the weeks after I submitted my dissertation to the PhD committee, but before my defense. I had a ton of time on my…

Author’s Illustration “Online Educational Icons.”

This guide will help check references when asked to contribute at a course platform

Introduction

Has a course platform ever asked you to contribute a course to their platform? Since producing tutorials, cookbooks, YouTube videos, LinkedIn content, and Udemy courses, a handful of emerging platforms have reached out my way asking if I will contribute courses to their platform.

At first, I was not sure…

These qualitative-quantitative software tools need to be on your radar

Introduction

Often, in my data science work I often point clients and partners to a family of software that bridges the world between qualitative and quantitative analysis.

Photo by Micah Boswell on Unsplash

We sometimes know these packages as qualitative data analysis software (QDAS). They’re numerous. And in my opinion the qualitative moniker is a misnomer. …

An overview and cross-reference on image credits and attributions

Last Updated: March 27, 2021.

Attribution Strategy

My goal is to provide readers with pleasant opportunity to learn about data science, data-related careers, and other professional or personal topics. In providing that visually and aesthetically pleasing experience I sometimes use a variety of images. I aim to provide attribution and credit. …

Using the popular bird variety data to demonstrate nearest neighbors classification

Introduction

This article uses fictional data, previously generated using the code in an earlier article to illustrate the k-nearest neighbors classification algorithm. Readers can use this article as a cookbook for executing classification algorithms with the k-nearest neighbors algorithms.

Both a Jupyter notebook and a YouTube instructional video accompany this article…

Adam Ross Nelson

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