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Ask Questions to Make Data-Driven Decisions

Google Data Analytics,

This is the second course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. You’ll build on your understanding of the topics that were introduced in the first Google Data Analytics Certificate course. The material will help you learn how to ask effective questions to make data-driven decisions, while connecting with stakeholders’ needs. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, you will: - Learn about effective questioning techniques that can help guide analysis. - Gain an understanding of data-driven decision-making and how data analysts present findings. - Explore a variety of real-world business scenarios to support an understanding of questioning and decision-making. - Discover how and why spreadsheets are an important tool for data analysts. - Examine the key ideas associated with structured thinking and how they can help analysts better understand problems and develop solutions. - Learn strategies for managing the expectations of stakeholders while establishing clear communication with a data analytics team to achieve business objectives.

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Length 5 weeks
Starts Jun 26 (45 weeks ago)
Cost $49
From Google via Coursera
Instructor Google Career Certificates
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science IT & Networking
Tags Data Science Data Analysis Information Technology Data Management

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Rating Not enough ratings
Length 5 weeks
Starts Jun 26 (45 weeks ago)
Cost $49
From Google via Coursera
Instructor Google Career Certificates
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science IT & Networking
Tags Data Science Data Analysis Information Technology Data Management

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