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This is the first course in the Google Data Analytics Certificate. These courses will equip you with the skills you need to apply to introductory-level data analyst jobs. Organizations of all kinds need data analysts to help them improve their processes, identify opportunities and trends, launch new products, and make thoughtful decisions. In this course, you’ll be introduced to the world of data analytics through hands-on curriculum developed by Google. The material shared covers plenty of key data analytics topics, and it’s designed to give you an overview of what’s to come in the Google Data Analytics Certificate. Current Google data analysts will 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: - Gain an understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job. - Learn about key analytical skills (data cleaning, data analysis, data visualization) and tools (spreadsheets, SQL, R programming, Tableau) that you can add to your professional toolbox. - Discover a wide variety of terms and concepts relevant to the role of a junior data analyst, such as the data life cycle and the data analysis process. - Evaluate the role of analytics in the data ecosystem. - Conduct an analytical thinking self-assessment. - Explore job opportunities available to you upon program completion, and learn about best practices in the job search. View Syllabus
Skills You'll LearnSpreadsheet, Data Cleansing, Data Analysis, Data Visualization (DataViz), SQL Reviews
CH Jun 26, 2021 This gives a great foundation for Data Analytics. The instructors do skim over everything and I would have liked more detail but most of what I wanted to find out more about I was able to find online. NM Sep 1, 2021 i am really happy that i have completed this course thanks to coursera i am willing to enroll the next courses to fullfil my knowledge and dream.#thanks google and coursera to give me the opportunity. From the lesson All about analytical thinking Data analysts balance many different roles in their work. In this part of the course, you’ll learn about some of these roles and the key skills used by analysts. You’ll also explore analytical thinking and how it relates to data-driven decision-making. Taught By
Which aspect of analytical thinking involves being able to identify a relationship between two or more pieces of data 1 point?Which aspect of analytical thinking involves being able to identify a relationship between two or more pieces of data? Correlation involves being able to identify a relationship between two or more pieces of data. A correlation is like a relationship.
What practice involves identifying defining and solving a problem by using data in an organized stepAnalytical thinking involves identifying, defining, and solving a problem by using data in an organized, step-by-step manner.
Which analytical skill involves managing the people processes and tools used in data analysis?Data design is how you organize information; data strategy is the management of the people, processes, and tools used in data analysis.
What are the characteristics of analytical thinking?Here are some other qualities and characteristics associated with analytical thinkers:. You search for information and evidence. ... . You have a logical and systematic nature. ... . You like routines. ... . You are reserved or introverted. ... . Your memory is sharp.. |
Which aspect of analytical thinking involves being able to identify a relationship between two or more pieces of data?
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