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Quality Training Camp

  • 证书 Junior Data Analyst-Employment Training Camp P1 Certificate

    The content of this course covers the visualization and processing of data such as Excel, Power BI, Tableau and other visual tools. At the end of this stage, students will be qualified as junior data analysts and complete data analysis tasks of ordinary difficulty.

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  • 证书 Intermediate Data Analyst-Employment P2 Course Certificate

    This stage focuses on the modeling and analysis of data. Through the learning of statistical knowledge and SQL, the purpose of using advanced data analysis, data mining tools and methods for business analysis and prediction is achieved. After finishing the course, students can be qualified as intermediate data analysts and data mining engineers.

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  • 证书 Python Data Analyst-Employment P3 Course Certificate

    At this stage, through the study of Python language, Python data processing, analysis package and visualization package, students can master the basic programming skills, and then complete advanced and complex data analysis work. After completing this phase of the course, trainees will be qualified for the position of senior data analyst for Python.

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  • 证书 Big Data Technology Development-Elementary Course P1 Certificate

    This phase is an introductory course for big data development engineers. The learning content covers Linux, NoSQL databases, and the primary part of Hadoop development. After the completion of this phase, students can be qualified as Hadoop primary development engineer jobs.

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  • 证书 Big Data Technology Development-Intermediate Class P2 Course Certificate

    The learning content of this stage covers the development of Hadoop advanced technologies for big data, distributed coordination Zookeeper, Hadoop distributed storage, Hive data analysis, etc. After the study, students can be qualified as big data development engineers, big data warehouse development engineers and other positions.

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  • 证书 Big Data Technology Development-Advanced P3 Course Certificate

    This phase includes data acquisition, ETL, data analysis, data display and cloud deployment in-depth learning and performance optimization, as well as cleaning, processing, storage and development of big data. After the completion of this phase, the trainees will be qualified as senior data development engineer positions.

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  • 证书 Junior Data Analyst-Employment Training Camp P1 Certificate

    Master the core skills of data analysis in 8 weeks
    8 comprehensive combats with 6 tool modules
    28 week community counseling + Q & A + homework review

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  • 证书 Intermediate Data Analyst-Employment P2 Course Certificate

    Strengthen modeling and forecasting capabilities from primary to intermediate
    8 week course study covering 7 modules and 8 comprehensive combat
    8 weeks community counseling + Q & A + homework review

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  • 证书 Python Data Analyst-Employment P3 Course Certificate

    Zero-based learning Python advanced data analysis application
    8 weeks of course learning 8 comprehensive practical combats Community counseling + Q & A + homework reviews

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  • 证书 Big Data Technology Development-Elementary Course P1 Certificate

    This phase is an introductory course for big data development engineers. The learning content covers Linux, NoSQL databases, and the primary part of Hadoop development. After the completion of this phase, students can be qualified as Hadoop primary development engineer jobs.

    see details
  • 证书 Big Data Technology Development-Intermediate Class P2 Course Certificate

    The learning content of this stage covers the development of Hadoop advanced technologies for big data, distributed coordination Zookeeper, Hadoop distributed storage, Hive data analysis, etc. After the study, students can be qualified as big data development engineers, big data warehouse development engineers and other positions.

    see details
  • 证书 Big Data Technology Development-Advanced P3 Course Certificate

    This phase includes data acquisition, ETL, data analysis, data display and cloud deployment in-depth learning and performance optimization, as well as cleaning, processing, storage and development of big data. After the completion of this phase, the trainees will be qualified as senior data development engineer positions.

    see details

Teaching and Research Team

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