Udemy

Beginners Data Analysis Bootcamp with SQL

立即報名
  • 605 名學生
  • 更新於 4/2021
4.2
(142 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
3 小時 38 分鐘
教學語言
英語
授課導師
Adnan Haroon
評分
4.2
(142 個評分)
*提示: 以上時間表僅供參考,以機構網站為準。

課程簡介

Beginners Data Analysis Bootcamp with SQL

Learn the four key pillars of Data Analysis: Databases , Data Modeling , SQL and Data Visualization.

This course will teach you the four building blocks of data analysis in a very structured way

* We will first learn about databases and database management systems with the focus of data accessibility. Our preferred DBMS will be MYSQL.

* We will then learn the foundation of Data modeling for relational DBMS and gain knowledge about how data is related and how the design of data models help in capturing business use cases.

* We will take a deep dive in learning SQL; from writing simple scripts to advance analytical functions to gain insight.

* The last section will focus on data visualization and we will use Tableau software as our data visualization tool with many examples to showcase our story telling skills.

By taking this course you will gain experience in designing data solutions which will make you more marketable and competitive in the job market.

In my 20 years of consulting experience nearly all IT project have elements of data analysis that is needed where basic SQL and data visualization skills are needed to produce key insights. This course will give you the necessary foundations needed to perform data analysis in your project.

I will try my best to keep this course up to date by adding more relevant lectures and lab exercises.

課程章節

  • 12 個章節
  • 70 堂課
  • 第 1 章 Introduction
  • 第 2 章 Getting Started - Overview and Installation
  • 第 3 章 Data Modeling
  • 第 4 章 Structured Query Language (SQL)
  • 第 5 章 Table Joins
  • 第 6 章 SET Operators
  • 第 7 章 Summary & Grouping of Data
  • 第 8 章 SubQueries
  • 第 9 章 Functions
  • 第 10 章 Conditional Logic
  • 第 11 章 Analytical Window Functions
  • 第 12 章 Data Visualization

課程內容

  • Understand the foundation of data analysis and explain the key areas of database, modeling, visualization and insight., Be able to understand and create data models in relational database environment, Be able to write simple to complex SQL queries in a production environment, Create compelling data visualizations for professional projects, Be able to use MYSQL database to interact with data and gain insight


評價

  • C
    Claudia Maria Munaico-Clarke
    1.5

    I am in the Section 2, and the most importnt part, which is explaning what a DB is and how it is structured it is really poor. I will wait and continue and see if there is more information in the following sections.

  • B
    Babatunde Olorunfemi John
    4.0

    Yes, it serve as my foundation in SQL and data visualization

  • D
    Darrell Graves
    3.0

    Often there is background noises that cause distractions or even confusion to the participant. The course seems to have ben modified enough that it felt like it missed or did not cover something prior to what is was currently covering.

  • B
    Bhanu Guntupalli
    3.5

    It was a good learning experience but the subtitles could be a bit more accurate

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