Certificado profesional de Análisis de datos de Google

• ¿Cuál es la política de reembolsos?

  Si estás suscrito, obtienes una prueba gratis de 7 días, que podrás cancelar cuando desees sin ningún tipo de penalidad. Una vez transcurrido ese tiempo, no realizamos reembolsos. No obstante, puedes cancelar tu suscripción cuando quieras. Consulta nuestra política completa de reembolsos.

• ¿Puedo inscribirme en un solo curso?

  ¡Sí! Para empezar, haz clic en la tarjeta del curso que te interesa e inscríbete. Puedes inscribirte y completar el curso para obtener un certificado que puedes compartir o puedes acceder al curso como oyente para ver los materiales del curso de manera gratuita. Cuando te suscribes a un curso que forma parte de un Certificado, te suscribes automáticamente a todo el Certificado. Visita el panel del estudiante para realizar un seguimiento de tu progreso.

• ¿Este curso es 100 % en línea? ¿Necesito asistir a alguna clase en persona?

  Este curso es completamente en línea, de modo que no necesitas ir a un aula en persona. Puedes acceder a tus lecciones, lecturas y tareas en cualquier momento y cualquier lugar a través de Internet o tu dispositivo móvil.

• What is data analytics?

  Data is a group of facts that can take many different forms, such as numbers, pictures, words, videos, observations, and more. Data analytics is the collection, transformation, and organization of these facts in order to draw conclusions, make predictions, and drive informed decision making. Companies need data analysts to sort through this data to help make decisions about their products, services or business strategies.

• Why start a career in data analytics?

  Data analysts make sense of data and numbers to help organizations make better business decisions. They prepare, process, analyze, and visualize data, discovering patterns and trends and answering key questions along the way. Their work empowers their wider team to make better business decisions.

• What kind of companies hire Data Analytics professionals?

  Organizations of all kinds, in industries as varied as entertainment, finance, health care, tech, and more, need data analysts to help them improve their processes and launch new products. 

• How much does this certificate cost?

  In the U.S. and Canada, Coursera charges $39/month after the initial 7 day free trial period. The certificate can be completed in less than 6 months of part time study, meaning most learners complete for under $300 USD. In other countries where the IT Support Certificate is available, your cost may be lower.

• Is this program offered in other languages?

  This certificate is currently available globally in English. You can also find Google Career Certificates available globally in the following languages: Turkish, German, Spanish, Arabic, Russian, and Indonesian Bahasa. We are working on adding more languages soon. Please continue to check back here for updates.

• What background knowledge is necessary?

  None! Whether you’re completely new to the job field or have had some exposure, a Google Career Certificate is the right program for you.

• Do I need to take the courses in a specific order?

  We highly recommend taking the courses of each certificate program in the order presented, as the content builds on information from earlier courses.

• Will you be teaching R or Python?

  This program teaches the open-source programming language, R. R is a great starting point for foundational data analysis, and offers helpful packages for beginners to apply to their projects. We do not cover Python in the curriculum but encourage learners to explore Python after completion if they'd like to continue their learning journey.

• Which jobs does this program prepare for?

  One of the most exciting parts of being a data analyst is the number of opportunities available. Nearly every company has the ability to collect data, and the amount of data is growing larger and larger. This has led to a higher demand for employees who can organize and analyze data to unearth insights. Organizations have trouble recruiting for positions that require data analysis skills, and demand for these jobs will continue to increase, with about 11.5 million data related jobs being created in the U.S. by 2026 (BLS).

  A career in data analytics allows you the opportunity to specialize, this just means you’ll be focused on in-depth knowledge for an specific industry and your day to day work will revolve around problem solving for that industry. Some common titles can include: Junior Data Analyst, Junior Data Scientist, HR/Payroll Analyst, Finance Analyst, Operations Analyst, Business Intelligence Analyst, Healthcare Analyst and many more.

• What will I be able to do upon completing the professional certificate?

  Google Career Certificates are designed to prepare you for an entry-level role in job fields like data analytics, digital marketing & e-commerce, IT support, project management, and UX design. Upon completion of a Google Career Certificate, like this one, certificate graduates in the U.S. will have the option to share their information with top U.S. employers that are hiring entry-level professionals, like Target, Infosys, Verizon, Wells Fargo and of course, Google. Employer consortiums are currently available in the U.S., Canada, India, Singapore, Indonesia and are coming to more countries soon. The employers included will vary by country.

• What resources will be available to help with the job search process?

  In addition to expert-led training and hands-on projects designed to prepare you for a job, you'll get access to an interview practice tool, mock interviews and resume building workshops, career coaching sessions and more. You'll also be able to connect with over 150 U.S. employers who are searching for candidates who have completed a Google Career Certificate.

• Why did Google create this program?

  Google had long faced an issue that many other companies also contend with: We had open IT support roles, but not enough qualified candidates to fill them. So we built and tested a training program to provide pathways to jobs in technical support at Google for people with no college degree or experience. In 2018, Google launched the IT Support Certificate so that this training could be available to everyone. Since then, thousands of people have completed the program. In the United States, 75% of Google Career Certificate graduates report a positive impact on their career within six months, such as finding a new job or getting a raise.¹

  When we saw the positive impact this program was having on people all over the world, we expanded into additional fast-growing, high-paying career fields: cybersecurity, data analytics, digital marketing & e-commerce, project management and UX design. Built and taught by Google, these certificates prepare people from all backgrounds for jobs in fields with great demand for qualified candidates. No degree or previous experience is required. Graduates get the chance to connect directly with over 150 U.S. employers who are accepting Google Career Certificates for open jobs.

  ¹Based on program graduate survey responses, United States, 2021.

• Can I get college credit for taking the Google Data Analytics Certificate?

  Those planning to attend a degree program can utilize ACE®️ recommendations, the industry standard for translating workplace learning to college credit. Learners can earn a recommendation of 12 college credits for completing the Data Analytics Certificate, the equivalent of 4 college courses at the bachelor’s degree level. This aims to help open up additional pathways to learners who are interested in higher education, and prepare them for entry-level jobs.

  To share proof of completion with schools, certificate graduates will receive an email prompting them to claim their Credly badge, which contains the ACE®️ credit recommendation.  Once claimed, they will receive a competency-based transcript that signifies the credit recommendation, which can be shared directly with a school from the Credly platform. Please note that the decision to accept specific credit recommendations is up to each institution and is not guaranteed. 

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