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Learner Reviews & Feedback for Data Analytics Foundations by DeepLearning.AI

4.7
stars
25 ratings

About the Course

In this course, you’ll learn to harness the volume & complexity of information to help businesses make better decisions. This is data analytics, and it powers insights across almost every industry, even ones you might not think of: from fashion and government, to tech, sports and healthcare. This course is the first in a series designed to prepare you for an entry level data analyst role. You don’t need any prior experience with analytics software, programming, or even data to succeed in this course. Whether you’re looking to start a career in data analytics or level up in your current role, this course is for you. It’s designed to take you from no prior experience to leading your own end to end projects. And, if you’re already working as a data analyst or in a similar role, you’ll find new strategies and insights to continue growing in your career. Starting out, you’ll learn what data is & the many forms it can take. Then, you’ll get hands on with spreadsheets, a powerful tool for analyzing and visualizing data. You’ll explore real-world datasets throughout the video demos and the interactive labs, including hotel bookings, baby names, and home sales. Finally, you’ll learn a structured approach for data analytics projects that works across industries. Plus, throughout this course, you’ll get hands-on with large language models, which are changing the nature of work. They are not a replacement for your perspective, but they can augment your skills, serving as a thought partner for your practice. In this course, you’ll use LLMs to interpret data visualizations, run analyses, and more. Data analytics is both analytical and creative. While you will crunch numbers, and that’s fun in its own right, you’ll also craft compelling stories to inspire action. You’ll discover new things every day, work with people from all backgrounds, and see the real world impacts of your expertise....

Top reviews

NA

Apr 10, 2025

I love the lab features where you get to work with data directly, the instructor explained every concepts of data analysis very well, with visuals and good examples for easier understanding.

AS

Mar 22, 2025

Great Course!!. Enjoyed every part of it specifically the well curated excel practise labs

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1 - 9 of 9 Reviews for Data Analytics Foundations

By Todd L

Apr 13, 2025

This course was extremely well thought-out and well structured. The data examples where very realistic and similar to what I've seen in the workplace, as were the exercises. The way the quizzes are set up are really great. You really have to apply what you were taught to in the videos to correctly get the answers. It provides a really good feedback loop. I also FINALLY learned how to make charts in Google Sheets work correctly. Honestly, this is something I've always found confusing, but watching Sean's demos where really helpful, and I feel like I can make charts now in Google Sheets. Lastly, Sean has a great teaching style. He's very encouraging and very clear.

By Ahmed M a i

Mar 25, 2025

As a Data analyst, I enjoy this course, and unlike the other data analytics courses this has a lot of practical knowledge not just theoretical, In addition, it provides resources too for the theoretical side

By Akanksha S

Mar 22, 2025

Great Course!!. Enjoyed every part of it specifically the well curated excel practise labs

By NGUYEN H H A

Apr 11, 2025

I love the lab features where you get to work with data directly, the instructor explained every concepts of data analysis very well, with visuals and good examples for easier understanding.

By Diogo C

Apr 3, 2025

Love it, nice way to enter in analytics world! i think it helps a lot have real examples

By Futuria F

Apr 2, 2025

This course is nicely structured and contains lots of interesting practice labs.

By Davi M

Apr 2, 2025

Excellent course! Well structured and to the point. I've learned a lot from it.

By Hạnh L T

Apr 2, 2025

Great content with many useful examples

By Humoyun E H

Apr 6, 2025

Humoyun Hasanboyev