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Growth Potential: Developing a strong foundation in data analytics paves the way for career growth into advanced roles such as data scientist, machine learning engineer, or data engineer.
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The ideal candidate will have a wide breadth of expertise in data science with special emphasis on predictive modeling and forecasting as well as proficiency in Python, SQL, TensorFlow, and experience using platforms such as Google Vertex AI and NVIDIA NeMo. Experience in data preprocessing using tools like Alteryx and Google Dataflow is also essential.
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Practical Skills: Acquire hands-on experience and practical skills in data analysis, data visualization, SQL, Python, and statistical analysis, equipping you to manage real-world data challenges effectively.
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Career Advancement: Gain a competitive edge in the job market and unlock new career opportunities in data analysis, data science, business intelligence, and related fields with Google certification.
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Qualify for high in-demand jobs as a Data Analyst. In-demand Job Opportunities: Employers highly value the skills and expertise demonstrated by Google certified data analysts. Cost-Effective Investment: At only $49 /month, the Google Data Analytics Professional Certificate offers a high return on investment for your career growth and advancement.
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Networking and Collaboration: Join a network of certified professionals and collaborate with industry experts, expanding your network and gaining insights into best practices and trends in data analytics.
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Industry Recognition: Earn a your globally recognized credentials in the fast-growing data analytics field. Expert-Level Training: Access comprehensive training designed by Google experts, covering essential data analysis skills, tools, and techniques required for success in data-driven roles.
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The median salary for a career in Data Analytics is $92,000+ Build portfolio-ready Data Analytics projects. Median salary in Data Analytics is $92,000+ Start your career in Data Analytics.
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No degree or experience required. Flexible Schedule: Learn at your own pace. Get professional-level training from Google.
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No degree or experience required. Flexible Schedule: Learn at your own pace. Get professional-level training from Google.
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No degree or experience required. Flexible Schedule: Learn at your own pace. Get professional-level training from Google.
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To achieve our ambitious goals, we’re looking for a Data Scientist to join our incredible team and work on core marketing measurement and optimization projects. As a Data Scientist, You Will.
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Role: Data Scientist. Knowledge of R, SQL and Python; familiarity with Scala, Java or C. Bachelors in Computer Science, Engineering or relevant field; graduate degree in Data Science or another quantitative field is preferred.
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Advanced knowledge of programming languages (Python, R) and ability to implementpipelinesProficiency in developing ETL data pipelines and using cloud computing to runpipelines and ML models (GCP/AWS)Extensive knowledge of ML frameworks, data structures, modeling, and softwarearchitecture.
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No degree or experience required. Flexible Schedule: Learn at your own pace. Get professional-level training from Google.
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