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数据工程师实习

通过真实商业项目实习获取工作经验，丰富简历

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    Upcoming Programs

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    匠人数据工程实习

    2021/06/01
    |On Campus|Brisbane
    $3,850
    Core Features

    数据工程师实习 Highlights

    01

    acutal-projects

    02

    2个阶段

    03

    实习阶段包括2个阶段：知识加油站+ 真实项目实习+面试指导+简历修改

    04

    community-discussion

    05

    真实工作经验

    06

    从真实公司项目中获得经验，与20多个程序员和多位DevOps Engineer合作

    07

    answer-questions

    08

    DevOps&AWS

    09

    除了与DevOps对接以外，还需要参与到DevOps也就是DataOps工作中，实施AWS相关技术

    Curriculum

    数据工程师实习 Curriculum

    1数据工程知识加油站9 lessons
    ℹ️数据工程实习须知Info
    🎬Git基本操作，如何团队协作，解决ConflictsVideo
    🛠️前端 后端 API入门介绍Workshop
    🎬什么是Agile SDLC, Waterfall, Agile介绍Video
    🎬Agile MethodologiesVideo
    🎬Agile Case研究：微软Microsoft Case StudyVideo
    🛠️公司代码Onboarding分享: 代码规范Workshop
    🎬AWS基础Video
    🛠️DevOps可以了解的Dev知识Workshop
    2数据工程实习13 lessons
    🎬匠人实习Onboarding: 公司介绍, 公司产品介绍, Portal介绍Video
    ℹ️DevOps须知Info
    ℹ️关于如何解决Error Messages，几个步骤Info
    🛠️Workshop: 持续集成(CI)/持续部署(CD)的概念以及Jenkins的使用Workshop
    🛠️CI CD基础 使用Jenkins和AWS CodePipeline 手把手部署一个Web AppWorkshop
    🛠️Workshop: AWS IAM的基本用法和高级使用Workshop
    🛠️SpringBoot的Production部署到AWS ECS Fargate，如何使用Microservice with dockerWorkshop
    🛠️MongoDB Altas使用分享Workshop
    🛠️Elastic Search基础知识分享WorkshopWorkshop
    🛠️AWS Lambda基础知识和Serverless概念Workshop
    🛠️Terraform基础入门，如何Terraform管理不同环境的LambdaWorkshop
    🛠️如何书写和读懂User StoryWorkshop
    🛠️Recommendation System阶段报告Workshop
    View Full Curriculum
    Tech Stack

    Technology Stack

    数据全栈

    DBMS

    DBMS

    ER Model

    ER Model

    Snowflake

    Snowflake

    AWS

    AWS

    Data Engineering Pipeline

    Data Engineering Pipeline

    Data Wrangling

    Data Wrangling

    Python

    Python

    Jupyter

    Jupyter

    Pandas

    Pandas

    Power BI

    Power BI

    SQL

    SQL

    Agile

    Agile

    Prototype

    Prototype

    Linux

    Linux

    Machine Learning

    Machine Learning

    Statistical Modelling

    Statistical Modelling

    Exploratory Data Analysis

    Exploratory Data Analysis

    XGBoost

    XGBoost

    Data Visualisation

    Data Visualisation

    Spark

    Spark

    Hadoop

    Hadoop

    Git

    Git

    Datalake

    Datalake

    Kaggle

    Kaggle

    Scikit Learn

    Scikit Learn

    Databricks

    Databricks

    Data Warehouse

    Data Warehouse

    Tableau

    Tableau

    R

    R

    ETL

    ETL

    AWS-云大数据

    AWS EC2

    AWS EC2

    AWS S3

    AWS S3

    AWS RDS

    AWS RDS

    Redshift

    Redshift

    AWS Lambda

    AWS Lambda

    AWS VPC

    AWS VPC

    Cloudformation

    Cloudformation

    AWS Athena

    AWS Athena

    AWS Glue

    AWS Glue

    Step Functions

    Step Functions

    AWS Sagemaker

    AWS Sagemaker

    AWS SQS

    AWS SQS

    AWS SNS

    AWS SNS

    Serverless

    Serverless

    Target Audience

    谁应该参加我们的数据工程师实习？

    数据工程全栈班学生
    数据科学在校生、毕业生
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    LIVE CLASS

    How We Deliver Live Classes Online

    • Flexible Learning Schedule: Join the classroom anytime, anywhere
    • Immersive Learning Environment: We create a highly interactive and immersive learning environment through virtual spaces. Students can communicate and collaborate in virtual classrooms, labs, and meeting rooms.
    Online class
    Online community
    SOCIAL

    Reduce Loneliness in Online Learning

    • Combat Learning Isolation: See who else is studying with you, find like-minded learning partners, and grow together.
    • Enhance Social Skills: In the virtual environment, students can freely make new friends and engage in social interactions. This helps improve social skills and teamwork, especially for introverted students.
    PROJECT

    How do we discuss projects?How We Do Team Projects

    • Build Strong Team Collaboration: More efficient and authentic discussions
    • Real-time Feedback and Support: Instructors and tutors observe students in real time, providing immediate feedback and support to enhance learning outcomes.
    Team discussion
    Internal Tool