Acerca de este Certificado profesional
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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 337,400 U.S. job openings in data analytics with a $67,900 average entry-level salary.¹
Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making.
Over 8 courses, gain in-demand skills that prepare you for an entry-level job. You’ll learn from Google employees whose foundations in data analytics served as launchpads for their own careers. At under 10 hours per week, you can complete the certificate in less than 6 months.
You’ll prepare yourself for jobs that include junior or associate data analyst, database administrator, and more. Upon completion of the certificate, you can directly apply for jobs with Google and over 130 U.S. employers, including Walmart, Best Buy, Astreya.
82% of Google Career Certificate graduates report a positive career outcome like a new job, promotion, or raise within 6 months.²
Check out all Google Career Certificates here.
¹Burning Glass: Labor Insight (Last 12 Months: Feb. 1, 2020 – Jan. 31, 2021)
²Coursera Learner Outcome Survey, all time for Google IT Support Certificate. Data is collected via on-platform surveys or email and is cumulative from Jan 2018 – Jan 2021.
Proyecto de aprendizaje aplicado
This program includes over 180 hours of instruction and hundreds of practice-based assessments, which will help you simulate real-world data analytics scenarios that are critical for success in the workplace. The content is highly interactive and exclusively developed by Google employees with decades of experience in data analytics. Through a mix of videos, assessments, and hands-on labs, you’ll get introduced to analysis tools and platforms and key analytical skills required for an entry-level job.
Skills you’ll gain will include: Data cleaning, problem solving, critical thinking, data ethics, and data visualization
Platforms and tools you will learn include: Presentations, Spreadsheets, SQL, Tableau and R Programming
In addition to expert training and hands-on projects, you’ll complete a case study that you can share with potential employers to showcase your new skill set. Learn concrete skills that top employers are hiring for right now.
In this project you will learn how to use segments in Google Analytics and how they provide a deeper analysis of your website visitors. You will learn how to set up and use segments. You will learn about system segments and custom segments. You will also learn how to import segments. You will understand how using segments helps you make better decisions when it comes to increasing and converting your website traffic. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.Requerimientos
Familiarity with Google Analytics
HABILIDADES QUE DESARROLLARÁS
Website AnalysisMarketingWeb TrafficGoogle AnalyticsSearch Engine Optimization (SEO)
Aprende paso a paso
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En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:
- Define segments
- Use system segments
- Create custom segments
- Create conditions for custom segments
- Create sequence for custom segments
- Manage your segments
Acerca de este Curso
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If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.
In Course 3 of the deeplearning.ai TensorFlow Specialization, you will build natural language processing systems using TensorFlow. You will learn to process text, including tokenizing and representing sentences as vectors, so that they can be input to a neural network. You’ll also learn to apply RNNs, GRUs, and LSTMs in TensorFlow. Finally, you’ll get to train an LSTM on existing text to create original poetry! The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.
- Build natural language processing systems using TensorFlow
- Process text, including tokenization and representing sentences as vectors
- Apply RNNs, GRUs, and LSTMs in TensorFlow
- Train LSTMs on existing text to create original poetry and more
HABILIDADES QUE OBTENDRÁS
Natural Language ProcessingTokenizationMachine LearningTensorflowRNNsCertificado para compartirObtén un certificado al finalizar100 % en líneaComienza de inmediato y aprende a tu propio ritmo.Curso 3 de 4 enDeepLearning.AI desarrollador de TensorFlowFechas límite flexiblesRestablece las fechas límite en función de tus horarios.Nivel intermedio
You should take the first 2 courses of the TensorFlow Specialization and be comfortable coding in Python and understanding high school-level math.Aprox. 14 horas para completarInglés (English)Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Coreano, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)MOSTRAR TODO SUBTITLE LANGUAGESMostrar todo
Calificación del instructor 4,73/5 (604 calificaciones)Laurence MoroneyInstructorLead AI Advocate, Google 297,590 alumnos 14 cursos
DeepLearning.AI is an education technology company that develops a global community of AI talent.
DeepLearning.AIs expert-led educational experiences provide AI practitioners and non-technical professionals with the necessary tools to go all the way from foundational basics to advanced application, empowering them to build an AI-powered future.