AI can shorten your to-do list, and provide you the time needed to focus on tasks where you’ll have the most impact. In this demonstration, learn from a Google data engineer how to speed up the data cleaning process, create engaging visuals to showcase your data, and come up with questions for data analysis. Learn how to write effective prompts, the importance of the human-in-the-loop approach, and how to avoid security risks, while getting the most out of gen AI. Take the data analytics certificate course here: Chapters 0:00 Intro to AI 1:07 How to write effective prompts for AI 4:00 The Human-in-the-loop approach 4:44 Sensitive information 5:17 AI in Data Analytics 5:47 How AI helps reclaim time 7:21 Data cleaning scenario and AI demonstration 9:03 Organizing Data with AI example 12:06 Prompt iteration definition and tips 14:31 How AI can define the right questions for DA 15:05 Defining questions example and demonstration 16:02 Advanced AI data analysis tools 16:50 Creating charts and graphs with AI 19:19 The microphone feature 19:35 Generate an R script 20:09 Debugging R code with AI 20:38 Generating code to read and aggregate data 22:08 Using gen AI in DA Subscribe HERE: #GoogleCareerCertificates #DataAnalytics #Data About Google Career Certificates: Google Career Certificates are lessons designed to prepare you for entry-level roles in career fields like cybersecurity, data analytics, digital marketing & e-commerce, IT support, project management, or user experience (UX) design. Google Career Certificates give learners the skills they need to apply for more than 2.4 million in-demand jobs with a median salary of $76,000+. Google Career Certificates @GoogleCareerCertificates Intro to Using AI for Data Analytics | Google Data Analytics Certificate