Remove Data Analysis Remove Data Wrangling Remove Demo
article thumbnail

5 Reasons Why SQL is Still the Most Accessible Language for New Data Scientists

ODSC - Open Data Science

You can perform data analysis within SQL Though mentioned in the first example, let’s expand on this a bit more. SQL allows for some pretty hefty and easy ad-hoc data analysis for the data professional on the go. Imagine combining the data power of SQL with your preferred scripting program.

SQL 98
article thumbnail

Here’s What You Can Expect From the ODSC West Bootcamp Program

ODSC - Open Data Science

Jon Krohn (Duration: ~6 hrs) Pre-Bootcamp Live Virtual Training In addition to the on-demand training, you’ll also have the opportunity to attend 5 live virtual training sessions on fundamental data science skills as part of our ODSC Bootcamp Primer series. Day 1 will focus on introducing fundamental data science and AI skills.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Top Data Analytics Skills and Platforms for 2023

ODSC - Open Data Science

We looked at over 25,000 job descriptions, and these are the data analytics platforms, tools, and skills that employers are looking for in 2023. Excel is the second most sought-after tool in our chart as you’ll see below as it’s still an industry standard for data management and analytics.

article thumbnail

How to Use Exploratory Notebooks [Best Practices]

The MLOps Blog

And that’s what we’re going to focus on in this article, which is the second in my series on Software Patterns for Data Science & ML Engineering. I’ll show you best practices for using Jupyter Notebooks for exploratory data analysis. When data science was sexy , notebooks weren’t a thing yet. documentation.

SQL 52
article thumbnail

15 Fan-Favorite Speakers & Instructors Returning for ODSC East 2025

ODSC - Open Data Science

A prolific educator, Julien shares his knowledge through code demos, blogs, and YouTube, making complex AI accessible. As the author of *Hands-On Data Analysis with Pandas* (now in its second edition), she is a recognized expert in making data actionable.