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  1. After you complete the Google Data Analytics Certificate, you will have access to expert training and hands-on projects designed to prepare you for a job in data analytics, including a resume-building tool, mock interviews, and career networking support designed to help you with your job search.

  2. Explore top courses and programs in Data Analytics. Enhance your skills with expert-led lessons from industry leaders. Start your learning journey today!

  3. 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.

  4. Prepare for a career in the high-growth field of data analytics. In this program, you’ll learn in-demand skills like Python, Excel, and SQL to get job-ready in as little as 4 months.

  5. Data analysis courses cover a variety of topics essential for collecting, processing, and interpreting data to make informed decisions. These include the basics of data collection methods, data cleaning, and data visualization.

  6. DataCamp's courses provide a flexible and convenient way to learn data analytics at your own pace. Our data analytics courses, taught by industry experts, offer interactive exercises and practical projects that help you apply theoretical concepts to real-world scenarios.

  7. Courses. Testimonials. What you'll learn. Explore the roles of data professionals within an organization. Create data visualizations and apply statistical methods to investigate data. Build regression and machine learning models to analyze and interpret data. Communicate insights from data analysis to stakeholders. Skills you'll gain. Data Science.

  8. Get started in the high-growth field of data analytics with a professional certificate from Google. Learn job-ready skills that are in demand, like how to analyze and process data to gain key business insights.

  9. About. Outcomes. Modules. Recommendations. Testimonials. Reviews. What you'll learn. 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.

  10. Explore top courses and programs in Data Analyst. Enhance your skills with expert-led lessons from industry leaders. Start your learning journey today!

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