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Google Cloud Training
この 1 週間の速習オンデマンド コースは、Google Cloud Platform Big Data and Machine Learning Fundamentals を基にして作成されています。クラスルーム トレーニングでの講義、デモ、ハンズオンラボを通して、NoOps でデータ ウェアハウジング、解析、パイプライン処理を実行する方法を学習します。
受講要件:
• Google Cloud Platform Big Data and Machine Learning Fundamentals を修了していること
• SQL に類似したクエリ言語を使ったデータ分析の経験があること
• Python または Java に関する知識があること
Google アカウントについての注意:
• Google のサービスは、現在中国ではご利用いただけません。
Register for this course and see more details by visiting:
OpenCourser.com/course/ddz013/serverless
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Suitable for learners familiar with SQL-like query languages
Covers data warehousing, analytics, and pipeline processing
Provides hands-on experience through labs
Builds upon Google Cloud Platform Big Data and Machine Learning Fundamentals
Taught by Google Cloud Training, recognized for their expertise
Based on classroom training, ensuring structured learning
Assumes familiarity with NoOps
Requires Python or Java knowledge, posing a potential barrier to entry
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Reviews summary
A good learning experience
The two learners who left reviews for this course found that it provided a good introduction to data analysis for the Google Cloud Platform. They found the labs particularly helpful for understanding the material.
Course had good coverage of Cloud Dataflow.
"Cloud Dataflowに関してかなり詳しい説明があり、よく理解できた。"
Lab exercises were very helpful for learning.
"また、ラボとその解説で、さらに理解が深まった。"
Prior programming language experience is required.
"It requires prior experience with Java and Python..."
Some of the lessons were not very simple.
"...and not too clearly understood all lessons.. could have been more simpler"
Activities
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Serverless Data Analysis with Google BigQuery and Cloud Dataflow 日本語版.
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Career center
Learners who complete Serverless Data Analysis with Google BigQuery and Cloud Dataflow 日本語版 will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
For those aiming to become Data Engineers, the Serverless Data Analysis with Google BigQuery and Cloud Dataflow course can provide a solid foundation. Data Engineers are responsible for designing, building, and maintaining data infrastructure and pipelines to support data-driven decision-making. The course provides hands-on experience with Google BigQuery and Cloud Dataflow, which are widely adopted tools for data analysis and pipeline processing, enhancing your competency for the role.
Data Analyst
Data Analyst
The Serverless Data Analysis with Google BigQuery and Cloud Dataflow course can help you enter the data analytics field as a Data Analyst. As a Data Analyst, you use SQL-like queries to conduct data analysis and derive insights from data. This may involve integrating multiple data sources, cleaning the data to ensure its quality, and creating data visualizations to communicate your findings. The course provides a foundation in these skills and exposes learners to the latest technologies used in big data analysis.
Data Scientist
Data Scientist
Individuals interested in becoming Data Scientists may benefit from taking the Serverless Data Analysis with Google BigQuery and Cloud Dataflow course. Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. The course helps you build a foundation in data analysis and data processing, which are core competencies for Data Scientists.
Business Intelligence Analyst
Business Intelligence Analyst
The Serverless Data Analysis with Google BigQuery and Cloud Dataflow course may be useful for those considering a career as Business Intelligence Analysts. Business Intelligence Analysts use data analysis and visualization techniques to provide insights that support decision-making in organizations. The course provides a foundation in data analysis and data processing, which are crucial skills for identifying trends, patterns, and actionable insights from data.
Statistician
Statistician
Those interested in becoming Statisticians may find the Serverless Data Analysis with Google BigQuery and Cloud Dataflow course helpful. Statisticians collect, analyze, interpret, and present data. The course provides a solid foundation in data analysis and data processing, which are essential skills for performing statistical analysis and drawing meaningful conclusions from data.
Data Architect
Data Architect
Aspiring Data Architects can gain foundational knowledge through the Serverless Data Analysis with Google BigQuery and Cloud Dataflow course. Data Architects design and implement data management solutions that meet the needs of an organization. The course provides an understanding of data warehousing, analysis, and data pipelines, which are essential for designing and managing data architectures.
Quantitative Analyst
Quantitative Analyst
The Serverless Data Analysis with Google BigQuery and Cloud Dataflow course can provide valuable knowledge for individuals aspiring to become Quantitative Analysts. Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. The course provides a solid foundation in data analysis and data processing, which are essential skills for building and evaluating quantitative models.
Machine Learning Engineer
Machine Learning Engineer
Those aspiring to become Machine Learning Engineers can gain valuable knowledge from the Serverless Data Analysis with Google BigQuery and Cloud Dataflow course. Machine Learning Engineers apply machine learning techniques to solve real-world problems. The course provides exposure to real-time data analysis and processing, which are crucial skills in the development and deployment of machine learning models.
Cloud Architect
Cloud Architect
The Serverless Data Analysis with Google BigQuery and Cloud Dataflow course can be beneficial for individuals pursuing a career as Cloud Architects. Cloud Architects design, build, and manage cloud computing solutions. The course provides hands-on experience with Google BigQuery and Cloud Dataflow, which are widely used cloud services for data analysis and processing, enhancing your ability to design and implement cloud-based data solutions.
Data Governance Specialist
Data Governance Specialist
The Serverless Data Analysis with Google BigQuery and Cloud Dataflow course can be beneficial for individuals pursuing a career as Data Governance Specialists. Data Governance Specialists develop and implement policies and procedures to ensure the accuracy, consistency, and security of data. The course provides an understanding of data management and data analysis, which are important aspects of data governance.
Software Engineer
Software Engineer
For individuals pursuing a career as Software Engineers, the Serverless Data Analysis with Google BigQuery and Cloud Dataflow course can be beneficial. Software Engineers design, develop, test, and maintain software systems. The course introduces you to the concepts of serverless architecture and provides hands-on experience with cloud computing technologies, expanding your skillset for software development in the cloud.
Data Privacy Officer
Data Privacy Officer
The Serverless Data Analysis with Google BigQuery and Cloud Dataflow course may be helpful for those interested in becoming Data Privacy Officers. Data Privacy Officers are responsible for ensuring that an organization complies with privacy regulations and protects the personal data of individuals. The course provides a foundation in data management and data analysis, which are important aspects of data privacy management.
Database Administrator
Database Administrator
The Serverless Data Analysis with Google BigQuery and Cloud Dataflow course may be helpful for those considering a role as a Database Administrator. Database Administrators are responsible for managing and maintaining databases, ensuring data integrity and accessibility. The course provides a solid understanding of data warehousing and data analysis, which are important aspects of database management.
Security Analyst
Security Analyst
The Serverless Data Analysis with Google BigQuery and Cloud Dataflow course may be useful for individuals considering a career as Security Analysts. Security Analysts are responsible for identifying and mitigating security risks to an organization's data and systems. The course provides an understanding of data management and data analysis, which are important aspects of cybersecurity.
Business Analyst
Business Analyst
The Serverless Data Analysis with Google BigQuery and Cloud Dataflow course may be useful for landing a role as a Business Analyst. By understanding the principles taught in this course, Business Analysts use data analysis and technology to solve problems and improve operations in organizations. The course provides the foundational knowledge of data warehousing, analysis, and pipeline processing in the cloud, all of which contribute to the responsibilities of a Business Analyst in maximizing data usage and supporting decision-making.
For more career information including salaries, visit:
OpenCourser.com/course/ddz013/serverless
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Time
5 hours
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
This course belongs to a
collection
called
Data Engineering on Google Cloud Platform 日本語版. It's comprised of five courses:
- Building Resilient Streaming Systems on Google Cloud Platform 日本語版
- Google Cloud Big Data and Machine Learning Fundamentals 日本語版
- Serverless Machine Learning with Tensorflow on Google Cloud Platform 日本語版
- Serverless Data Analysis with Google BigQuery and Cloud Dataflow 日本語版 (viewing)
- Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform 日本語版
Good to know
Suitable for learners familiar with SQL-like query languages
Covers data warehousing, analytics, and pipeline processing
Provides hands-on experience through labs
Builds upon Google Cloud Platform Big Data and Machine Learning Fundamentals
Taught by Google Cloud Training, recognized for their expertise
Based on classroom training, ensuring structured learning
Assumes familiarity with NoOps
Requires Python or Java knowledge, posing a potential barrier to entry
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