
No Data Left Behind: Strategies for Working with All Data Types (w/ Harpreet Sahota)
Failed to add items
Add to basket failed.
Add to Wish List failed.
Remove from Wish List failed.
Follow podcast failed
Unfollow podcast failed
-
Narrated by:
-
By:
About this listen
Are you ready to level up your analytics game and tackle the challenges that come with data-heavy projects?
In this episode, Harpreet Sahota, a data science leader with years of experience helping analysts and teams thrive, shares actionable insights and strategies for staying ahead in the fast-evolving world of data.
Harpreet will help you develop a practical mindset to tackle real-world challenges and build the confidence to lead impactful projects. From cleaning messy datasets, to deciding between building or buying a solution, to training a computer vision model, Harpreet is here to share his expertise.
Whether you’re an aspiring data analyst or a seasoned professional, this episode will equip you with the skills and clarity to succeed.
What You'll Learn:-
Data Cleaning for Any Data Type: Proven techniques to clean and prepare your data for analysis.
-
Training a Computer Vision Model: What to consider before you start and how to ensure success.
-
Build vs. Buy for LLMs: When to create your own solution and when to leverage existing tools.
-
Setting Yourself Up for Success as an Analyst: Strategies to stand out and make your work impactful.
Register for free to be part of the next live session: https://bit.ly/3XB3A8b
Interested in learning more from Harpreet? Connect with him on LinkedIn
Follow us on Socials:
YouTube
Instagram (Mavens of Data)
Instagram (Maven Analytics)
TikTok
Medium
X/Twitter