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Kelly's Bytes

Kelly's Bytes - 6/7/24 (#100) - New Python Course

Published 4 months agoย โ€ขย 1 min read

KELLY'S BYTES

By Kelly J. Adams

Hey!

It's Friday, June 7, 2024 which means another issue of Kelly's Bytes, actually the 100th edition ๐ŸŽ‰. This week thereโ€™s no new blog post. Sorry! Itโ€™s because I was working to launch and publish my latest course with Luke Barousse.

View past editions of my newsletter here.

Python Course

This is a completely free Python course on Youtube. Watch the video here: Python for Data Analytics - Full Course Tutorial.

  • Basic Python
  • Essential libraries like NumPy
  • Data manipulation with Pandas
  • Data visualization with Matplotlib

Why learn Python even if youโ€™re a data analyst? Below are two blog posts with examples of how Iโ€™m using Python in my work:

  1. โ€‹How I Saved 10 Minutes with a Python Scriptโ€‹
  2. โ€‹How to Run SQL in Python: Connecting to PostgreSQL and BigQueryโ€‹

*The Course link above are affiliate links. If you decide to purchase the course through this link, I may receive a small commission at no extra cost to you. This support helps me continue to provide content. Thank you for your support!

Bite-Sized Resources

๐Ÿ“ฐ Article: [Data Analytics] How to get insights from a visualization by Abdallah Ashraf goes into showing example insights youโ€™d get from common graphs.

๐Ÿ’ป Resource: [Data Science] Data Science Weekly Newsletter that sends out resources on where you can learn more about data science with articles, news and jobs.

๐Ÿ“ Post: [Data Analytics] LinkedIn post from Andy Werdin with a list of Python interview questions for data analyst roles.

Content

๐Ÿ“Š How to Become a Data Analyst: Check out my ultimate guide on how you can become a data analyst.

๐Ÿ“Š Data Analytics Resources: View all the resources (like podcasts, courses, etc.) I used to learn data analytics.

๐Ÿ“Š Start Here: Interested in data analytics but not sure where to start? Check out my blog post.

Until the next Friday,

- Kelly

Kelly's Bytes

Subscribe to my newsletter where I send out every other Friday: 1 new blog post from me; and three bite-sized resources on topics like: data analytics, switching careers, and learning.

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