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  2. Google Data Analytics Professional Certificate | Coursera. Offered by Google. This is your path to a career in data analytics

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  1. 4 days ago · 3. Google's Data Analytics Professional Certificate. Google's Data Analytics Professional Certificate on Coursera is a comprehensive program designed to prepare individuals for a career in the high-growth field of data analytics. The certificate is suitable for beginners, with no prior experience or degree required.

  2. 5 days ago · Program description. Develop interdisciplinary skills in data science and gain knowledge of statistical analysis, data mining, and machine learning from one of the nation’s top-ranked Tier 1 research institutions. Overview. Data science is a multidisciplinary field that focuses on extracting knowledge and insight from large datasets.

  3. 4 days ago · The candidate needs a bachelor’s degree and five years of experience in analytics to write this exam. A master's degree and three years of experience or seven years of non-analytics experience are also sufficient. The exam includes topics such as data preparation and model building. Cost: $375 for members, $575 for non-members.

  4. 4 days ago · Learn the fundamentals of data analytics and how to apply them to real-world problems through Udacity’s Introduction to Data Analytics Online Training Course.

  5. 3 days ago · GenAI for Data Analyst | Coursera. Enroll for Free. Starts Jul 3. Financial aid available. Included with. Course. Gain insight into a topic and learn the fundamentals. Soheil Haddadi. Intermediate level. Recommended experience. 2 hours to complete. Flexible schedule. Learn at your own pace. About. Modules. Testimonials. What you'll learn.

  6. 4 days ago · 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.

  7. 5 days ago · The data analytics course structure is designed to comprehend the learning easy with the basics. Learners are first introduced to data analytics, its key principles like types of data, sources from where data are collected, collection techniques used and data cleaning and processing. Learning Outcome.