Udemy

Full Stack Data Science Course - Become a Data Scientist

立即報名
  • 1,806 名學生
  • 更新於 2/2021
4.1
(106 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
1 小時 52 分鐘
教學語言
英語
授課導師
The Click Reader, Merishna Singh Suwal
評分
4.1
(106 個評分)
3次瀏覽

課程簡介

Full Stack Data Science Course - Become a Data Scientist

Master the four major areas of Data Science and become a Full Stack Data Scientist in 2021.

Get educated and obtain the skills necessary as a Data Scientist to engineer, analyze, build, and deploy intelligent Machine Learning models in this immersive, Full Stack Data Science Course created by The Click Reader.

This course addresses the huge demand for data scientists and covers each stage of the entire data science project lifecycle. You will learn how to collect, clean, and store data into a data warehouse as well as perform Exploratory Data Analysis (EDA) on the collected data using statistical and graphical analysis.

Then onwards, this course will guide you through a six-stage Machine Learning workflow aimed at creating powerful and robust data models from scratch. This course will also take you through the process of deploying the created data model into production using a fast, simple, and extensible Web API framework called Flask.

By the end of this course, you will leave with the necessary skills to make your next data science project a reality.

Why you should take this course?

  • Updated 2021 course content: All our course content is updated as per the latest technologies and tools available in the market

  • Practical hands-on knowledge: This course is oriented to providing a step-by-step implementation guide rather than just sticking to the theory.

  • Guided support: We are always there to guide you through the Q/As so feel free to ask us your queries.

課程章節

  • 6 個章節
  • 33 堂課
  • 第 1 章 Introduction
  • 第 2 章 Data Engineering
  • 第 3 章 Exploratory Data Analysis
  • 第 4 章 Data Modeling
  • 第 5 章 Model Deployment
  • 第 6 章 End of the course

課程內容

  • Engineer data pipelines using the ETL process.
  • Perform statistical and graphical analysis.
  • Execute a 6-stage Machine Learning (ML) workflow.
  • Deploy data models into a production environment using Web APIs.


評價

  • M
    Md.Rijoan Rabbi
    3.0

    The very Basic need to add new project idea

  • T
    Tugrul Arslan
    3.0

    Some command are didn't work. I thing it is either outdate or wrong. And in the advance lection about Data Science some command wouldn't be explain. It was only run. If the command will be update, i will re-review this course

  • B
    Bongani Skosana
    5.0

    The course was a great introduction to Data Science as well as a bit of data engineering. Very well explained and great coding exercises which are more fruitful when you try them by yourself. Great course.

  • M
    Mubashar Toseef
    4.5

    I loved it... very concise and informative content

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