Data Analytics Foundations

О курсе

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.

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Sean Barnes

Data Science Leader at Netflix