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  1. Prepare for a new career in the high-growth field of data analytics, no experience or degree required. Get professional training designed by Google and have the opportunity to connect with top employers. There are 483,000 open jobs in data analytics with a median entry-level salary of $92,000.¹

  2. Choose the Data Analytics Course That Aligns Best With Your Educational Goals. Google Data Analytics.

  3. Explain what Data Analytics is and the key steps in the Data Analytics process. Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst. Describe the different types of data structures, file formats, and sources of data.

  4. Introduction to Data Analytics. Skills you'll gain: Data Analysis, Data Management, Data Visualization, Databases, Python Programming, SQL, Big Data, Data Mining, Data Science, NoSQL, Microsoft Excel. 4.8. (15K reviews)

  5. Describe the use of data visualizations to talk about data and the results of data analysis. Identify Tableau as a data visualization tool and understand its uses. Explain what data driven stories are including reference to their importance and their attributes.

  6. Mar 13, 2017 · Use a five-step process to structure a Big Data analysis. Summarize key features of Hadoop, including the MapReduce model. Install Hadoop and run your first Hadoop program. Is it right for you? If you’re new to data science and interested in understanding the landscape of Big Data, this course is right for you.

  7. Data Analytics Certificate. Hosted on Coursera, this fully online program provides all the skills you need to find an entry-level job in the field of data analytics.

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