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30-Day Money-Back Guarantee

This course includes:

  • 5 hours on-demand video
  • 3 articles
  • 18 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
Business Business Analytics & Intelligence Data Warehouse

Learn Data Warehousing and Analysis with Microsoft BI Tools

Learn how extract, clean and load data in a database using Microsoft Excel and Business Intelligence tools
Rating: 4.5 out of 54.5 (340 ratings)
1,071 students
Created by Data Science Guide
Last updated 10/2020
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Understand Data Warehousing Terminology
  • Understand the difference between OLTP and OLAP
  • Install and use MS SQL Server and SQL Server Management Studio
  • Install and use Business Intelligence tools (SSIS and SSRS)
  • Understand and use ETL via SSIS
  • Introduced to different Flat files
  • Clean CSV files using Microsoft Excel
  • Use simple and efficient ETL that avoid many of expecting errors
  • USE SSRS to create different types of business reports
  • Practice data analysis while creating SSRS reports

Requirements

  • Basic knowledge of SQL

Description

Learning how to extract, clean and load data into a SQL database warehouse are highly required skills for data analysis field. You will learn in this course how to use Microsoft Excel to clean your data before loading them into a Microsoft SQL Server database. You will learn how to use SQL Server Integration Services (SSIS) which is one of Microsoft Business Intelligence tools to perform ETL process. You will learn a simple technique that save you a lot of time and help to avoid many possible errors during the ETL process. You will learn also how to use SQL Server Reporting Services (SSRS) to create business reports and  data analysis with SQL queries. This course is designed to be more practical by putting your hands on real projects with diverse business scenarios to learn by practice.  Learning via practice is the best way to get knowledge stuck in your mind because it is similar to acquire experience through work. 

Who this course is for:

  • Anyone wants to learn data warehousing, data analysis, and ETL from scratch using Microsoft BI

Course content

17 sections • 77 lectures • 5h 2m total length

  • Preview03:42
  • Preview02:13
  • Preview00:54
  • Which of the following steps is not part of data warehousing
    1 question
  • Preview02:55
  • Which of the following is not a characteristic of OLAP
    1 question
  • What is ETL
    01:28
  • Which of the following two is correct
    1 question
  • What is Data Management
    01:03
  • Which of the following is not part of data management
    1 question
  • Course Rating
    00:16

  • What is Relational Database Management System (RDBMS)
    01:15
  • Which one of the following is not a database management system
    1 question
  • Install MS SQL Server and Management Studio
    02:39
  • Introduction to SQL Server Management Studio (SSMS)
    02:44

  • Introduction to Microsoft Business Intelligence
    01:45
  • Install MS Business Intelligence package
    02:22

  • Data types in MS SQL Server
    03:51
  • Preview03:49
  • Clean the data in MS Excel
    07:25
  • Create the database in SSMS
    02:11
  • Create the SSIS project in MS Visual Studio Shell for the ETL process - Part 1
    09:21
  • Create the SSIS project in MS Visual Studio Shell for the ETL process - Part 2
    01:54
  • Create the working table in SSMS for data analysis
    04:07

  • Overview on the data file
    01:05
  • Clean the data file in MS Excel
    05:38
  • Create the database in SSMS
    00:59
  • Create the SSIS project in MS Visual Studio Shell for the ETL process
    05:48
  • Create the working table in SSMS for data analysis
    05:24
  • Course Rating
    00:16

  • Clean the data file in MS Excel
    03:51
  • Create the warehouse database in SSMS
    00:35
  • Create the SSIS project in MS Visual Studio Shell - Part 1
    10:38
  • Check the anomalies rows
    02:40
  • Create the working table in SSMS for data analysis
    05:06
  • Homework
    00:58
  • Homework Solution
    04:54

  • Clean the data file in MS Excel
    04:41
  • Create the warehouse database in SSMS and ETL SSIS project
    04:19
  • Create the working table in SSMS for data analysis
    06:41

  • Clean the data file in MS Excel
    02:50
  • Create the warehouse database in SSMS and ETL SSIS project
    03:45
  • Create the working table in SSMS for data analysis - Part 1
    03:02
  • Create the working table in SSMS for data analysis - Part 2
    04:38

  • Introduction to homework
    01:32

  • Create SSRS Project and Report
    03:43
  • Create Datasource, Dataset, and Table
    05:33
  • Add formatting to report
    04:11

Instructor

Data Science Guide
Data Scientist & SQL Developer
Data Science Guide
  • 4.4 Instructor Rating
  • 1,601 Reviews
  • 3,680 Students
  • 5 Courses

My name is Abraham Joudah

I have worked in IT and Data Science for more than 15 years. After completed my bachelor’s in computer science, I worked Database Administrator in one of the engineering companies. I have obtained several certificates from Microsoft like MCSE, MCDBA and MCSA. After several years of working in IT, I started focusing on Data Science field and learning SQL in depth to enhance my business data analysis skills. I have worked Data Analyst in several companies. Over several years of working in this field I mastered using several analytical tools, such as: R, SAS, SQL, Tableau, and Excel. As I love and enjoy working at data science I pursued my study in this major till I obtained my master’s degree in Business Analytics from University of North Texas.

I love teaching Data Science, So I decided to create several courses in this field to share my knowledge with others. I tried to present something new in my classes. Instead of keep repeating same materials and curriculum which are already existing everywhere, I added materials simulate real business scenario. I included examples that based on real business cases to learn something practical rather than learning everything about basics. In other words, I tried to create shortcuts for practical learning to focus on what is really needed in the work field.

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