This is how I would learn data analysis in 2024 (if I had to start over)

This is how I would learn data analysis in 2024 (if I had to start over)

HomeCareerFoundryThis is how I would learn data analysis in 2024 (if I had to start over)
This is how I would learn data analysis in 2024 (if I had to start over)
ChannelPublish DateThumbnail & View CountDownload Video
Channel AvatarPublish Date not found Thumbnail
0 Views
Curious about a career in data analytics? Book a call with a program advisor: https://bit.ly/47LEBk3

Do you want to get into data analysis in 2024? Then this video is for you! In it, we share everything you need to know and the steps you need to take to become a successful data analyst in 2024!

Presented by our own senior data scientist, Tom Gadsby, this video walks you through the steps and requirements needed to take you from beginner to job-ready data analyst within a realistic timeframe. Tom analyzes the current market and considers what he would do differently if he were starting out in this field again in 2024.

Quick disclaimer: This will not be an “easy” task, and as far as time commitment goes, if you follow these steps, you can expect this journey to take up to a year.

Let us know in the comments which steps you're most excited about! Are there any you'd add based on your own career change?

In this guide we cover the following important points:

(00:00) Introduction
(00:44) Changes in the industry
(02:11) How Tom entered the data industry
(02:38) “Less learning in advance, more learning on the fly”
(03:30) “Try an online school”
(05:16) Portfolio Projects
(06:11) Soft skills and hard skills
(06:46) Lean/Minimal Roadmap
(06:57) 1. Working with data
(07:26) 2. Learning a tool
(07:37) 3. Statistics
(07:58) 4. Visualization and storytelling
(08:14) 5. Find an interesting area
(08:34) How long does it take to become a data analyst?
(08:51) “Define your own personal roadmap”
(09:36) “Have more confidence in yourself”
(09:58) How much math is required in data analysis?
(10:28) “Get familiar with the tools”
(11:05) “Use the free tools available”
(11:30) “Study other people’s work”
(11:54) “Network”
(12:30) BONUS: Useful resources for learning data analysis
(12:36) Resource No. 1
(12:46) Resource No. 2
(12:56) Resource No. 3
(13:06) Resource No. 4
(13:24) Outro

Links and resources shown in the video:

Medium: https://medium.com/
Kaggle: https://www.kaggle.com/
HackerRank: https://www.hackerrank.com/
CareerFoundry YouTube channel: https://www.youtube.com/careerfoundry
Want to get a taste of data analytics? Start your journey with CareerFoundry's free Data Analytics short course: https://bit.ly/DataShortCourse

Visit CareerFoundry's blog for articles that cover data analytics topics in more detail: https://bit.ly/DataAnalyticsBlog2

Thank you for watching!

#DataAnalytics #GettingStartedInData #LearningDataAnalytics

Want more from CareerFoundry?

Check out our other social media channels and our blog:
https://linktr.ee/CareerFoundry ​

For more information about our programs, please visit:
https://careerfoundry.com/

This is how I would learn data analysis in 2024 (if I had to start over)
https://youtu.be/f3FnCoKWmBg

Please take the opportunity to connect with your friends and family and share this video with them if you find it useful.