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GreaterHeight Technologies LLC ~ GreaterHeight Academy
  • All Courses
    • BI and Visualization
      • Mastering Data and Business Analytics
        • Basic Excel for Data Analysis
        • Intermediate and Advanced Excel for Data Analysis
        • Excel for Business Analysis & Analyst
        • PivotTable, PowerPivot, PowerQuery & DAX for Data Analysi
        • Data Analytics and Visualization with Tableau
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      • Excel for Data Analysis and Visualization
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Data Science With SQL Server & Azure SQL Database


Learn to uncover analytics for qualitative data and consider new metrics that make sense from the patterns that surface in your analysis.


Get Advice

Data Science with SQL Server and Azure SQL Database



Who this course is for:

  • SQL Server professionals who want to start with data science, and data scientists who would like to start using SQL Server in their projects will find this book to be useful. Prior exposure to SQL Server will be helpful.


What you will Learn:

  • This course teaches you how to start doing data science with.
  • Microsoft SQL Server (and Azure SQL Database).
  • Deploy models in SQL Server and perform prediction
  • Use the popular programming languages, T-SQL, for data sciences.
  • Understand your data with queries and introductory SQL Azure Database.
  • Create and enhance the datasets for Azure Database.
  • Visualize and analyze data using basic and advanced graphs.

Course Benefits & Key Features

Data Science with SQL Server and Azure SQL Database’s benefits and key features.
Modules

30+ Modules.

Lessons

80+ Lessons

Practical

40+ Hands-On Labs

Life Projects

5+ Projects

Resume

CV Preparations

Job

Jobs Reference

Recording

Session Recording

Interviews

Mock Interviews

Support

On Job Supports

Membership

Membership Access

Networks

Networking

Certification

Certificate of Completion


INSTRUCTOR-LED LIVE ONLINE CLASSES

Our learn-by-building-project method enables you to build

practical or coding experience that sticks. 95% of our                        

learners say they have confidence and remember more               

when they learn by building real world projects which is                

required to work in your real life.


  • Get step-by-step guidance to practice your skills without getting stuck
  • Validate your technical problem-solving skills in a real environment
  • Troubleshoot complex scenarios to practice what you learned
  • Develop production experience that translates into real-world
.

Data Science with SQL Server and Azure SQL Database Job Outlook


.

Ranked #1 Programming
Language

Microsoft, Infosys, Wells Fargo, Capgemini, eBay, and other top MNCs around the world have started using MS SQL servers as SQL database tool.

SQL Server Salary
Trend

The national average salary for a SQL Server Database Administrator is $99,198 in the United States with an additional cash bonus of $6600 - Glassdoor.

10.1% Compound growth (CAGR)

The worldwide SQL server transformation market is anticipated to surge at an impressive CAGR of 10.1% from 2022 to 2029 - Future Market Insights.



  • SQL Server Developer
  • Data Analyst

Job Titles include:


  • Database Engineer


  • SQL Database Administrator

Data Science with SQL Server and Azure SQL Database Tools Covered

 

Data Science with SQL Server and Azure SQL Database Skills Covered


  • Database Architecture
  • DML and DDL commands
  • Advance SQL Queries
  • SQL Server User Administration
  • Working with Azure SQL
  • Deploying SQL server on Azure

Why Data Science with SQL Server and Azure SQL Database For Data Analytics?

Learn In-demand Skills

Those with careers in data analysis learn relevant in-demand skills that span industries and add value to every digital-enabled organization.


Earn a Higher Salary

Experienced data analysts can earn up to $112,000 per year and transition into higher-paying jobs as Senior Data Analysts, Data Scientists, or Analytics Managers.

Positive Job Outlook

The data analytics market is predicted to hit $132.90 Billion USD by 2026. COVID-19 pandemic accelerated the adoption of data analytics solutions and services.

Shape the Future

Data analysts transform organizations by capitalizing on data to improve their business decisions and solve critical real-world problems.

Become a Leader

Being a central part of an organization’s decision-making processes, analytics experts often pick up strong leadership skills as well.

Data Analysis are Constantly Evolving

Data analysis moves quickly, and data analysts are constantly learning and advancing in their careers.




GreaterHeight Certificates holders are prepared to work at companies like these.

Some Alumni Testimonies

Investing in the course "Become a Data Analyst" with GreaterHeight Academy is great value for the money and I highly recommend. The trainer is very knowledgeable, very engaging, provided us with quality training sessions on all courses and was easily acessible for queries. We also had access to the course materials and also the timely availability of the recorded videos made it easy and aided the learning process..

QUEEN OBIWULU

Team Lead, Customer Success

The training was fantastic, the instructor is an awesome lecturer, relentless and not tired in his delivery. He obviously enjoys teaching, it comes natural to him. We got more than we expected. He extended my knowledge of Excel beyond what I knew, and the courses were brilliantly delivered. They reach out, follow up, ask questions, and in fact the support has been great. They are highly recommended and I would definitely subscribe to other training programs from them.

BISOLA OGUNRO

Fraud Analytics Risk Oversight Manager

It's one thing to look for just a Data Analysis training, and it's another to get the knowledge transferred through certified professional trainers. No matter your initial level of proficiency in any of the Data Analysis tools, GreaterHeight Academy would meet you there and take you up to a highly proficienct and confident level in a short time at a reasonable pace. I learnt a lot of Data Analysis tools and skills at GreaterHeight from patient and resourceful teachers.

TUNDE MEREDITH

Operation Director - Abbfem Technology

The Data Analysis training program was one of the best I have attended. The way GreaterHeight took off with Excel and concluded the four courses with Excel was a mind blowing - it was WOW!! I concluded that I'm on the right path with the right mentor to take me from a novice to professional. GreaterHeight is the best as far as impacting Data Analysis knowledge is concern. I would shout it at the rooftop to recommend GreaterHeight to any trainee that really wants to learn.

JOHN OSI PETER

Greaterheight

I wanted to take a moment to express my deepest gratitude for the opportunity to study data analytics at GreaterHeight Academy. I am truly impressed by the level of dedication and support that the sponsor and CEO have put into this program. GreaterHeight Academy is without a doubt the best tech institution out there, providing top-notch education and resources for its students. One of the advantages of studying at GreaterHeight Academy is the access to the best tools and technologies in the field. 

AYODELE PAYNE

Sales/Data Analyst

It is an unforgettable experience that will surely stand the test of time learning to become a Data Analyst with GreaterHeights Academy. The Lecture delivery was so impactful and the Trainer is vast and well knowledgeable in using the applicable tools for the Sessions. Always ready to go extra mile with you. The supports you get during and after the lectures are top notch with materials and resources available to build your confidence on and off the job.

ADEBAYO OLADEJO

Customer Service Advisor (Special Operations)

Data Science with SQL Server and Azure SQL 

Database Course

With Azure Data Studio to Become a SQL Expert on Queries for your Business Logic for real world problems! Learn how to use SQL for Data Science quickly and effectively with this course! Even if you have zero SQL experience, this course will take you from beginner to mastery.

Data science is a dynamic and growing career field that demands knowledge and skills based on SQL to be successful. This course is designed to provide you with a solid foundation in applying SQL skills to analyze data and solve real business problems.

You will participate in your own personal or professional journey to create a portfolio-worthy piece from start to finish. You will choose your own dataset and develop a project proposal. You will explore your data and perform some initial statistics you have learned through this course. You will uncover analytics for qualitative data and consider new metrics that make sense from the patterns that surface in your analysis. You will put all of your work together in the form of a presentation where you will tell the story of your findings.

WEEK 9-12 | 28 Modules | 10+ Hours | 6 Skills

Course Modules


  1. What is Data?
  2. What are Databases?
  3. Relational Database Management System (RDBMS)

  1. Section Introduction
  2. What is SQL Server
  3. What is SQL
  4. SQL Dialect
  5. What is Transact SQL
  6. Hardware and Software Requirements
  7. SQL Server Editions
  8. Download SQL Server
  9. Install SQL Server
  10. Install SQL Server Management Studio
  11. Connect to SQL Server with SSMS
  12. Install sample database

  1. What is Azure?
  2. What is Azure SQL
  3. Creating Azure Account
  4. How to access azure services
  5. Create a database using azure portal
  6. Query SQL Database with Portal

  1. Installing SSMS
  2. Connecting to Azure SQL Database with SSMS
  3. Insert data into azure SQL database
  4. Update Data in an azure SQL Database
  5. Delete Data from an azure SQL database
  6. Create tables in Azure SQL with SSMS
  7. Create database diagrams
  8. Install Command line utilities
  9. Bulk Load Data using BCP
  10. Query data with SSMS

  1. What is Azure Data Studio
  2. Install Azure Data Studio
  3. Connect to Azure SQL Database
  4. Create a new database
  5. Create a table
  6. Insert Data rows
  7. View the Data returned by Query

  1. Installing SandDance Extension
  2. Visualization Charts
  3. Multiple Table Data Charts

  1. Type Decision for Data Analysis
  2. Data Analysis with Case Statement and String Text

  1. Section Introduction
  2. Overview of Databases
  3. Creating Database
  4. SQL Data Types
  5. Column Data Types on SSMS
  6. Creating Table
  7. Overview of Primary Key and Foreign Key
  8. Primary Key
  9. Foreign Key

  1. Section Introduction
  2. SQL Data Types
  3. Numeric Data Type
  4. String Data Type
  5. Importance of Data Types

  1. Section Introduction
  2. CREATE, DROP, ALTER
  3. Adding comments to query
  4. Null & Not Null – SQL Constraint
  5. Add a Default Constraint
  6. Add a Unique Constraint
  7. Primary Key Constraint
  8. Using IDENTITY in SQL

  1. Section Introduction
  2. SELECT statement
  3. WHERE clause

  1. Section Introduction
  2. UPDATE command
  3. DELETE command
  4. Adding Aliases
  5. Decimal Data Type – Numeric Data Type

  1. Section Introduction
  2. CONCAT Function
  3. CONCAT_WS Function
  4. LEFT Function
  5. RIGHT Function
  6. LEN Function
  7. UPPER Function
  8. LOWER Function
  9. LTRIM, RTRIM, TRIM Functions
  10. REPLACE Function
  11. SUBSTRING Function
  12. COALESCE()

  1. NOT NULL Constraint
  2. UNIQUE Constraint
  3. PRIMARY KEY Constraint
  4. FOREIGN KEY Constraint
  5. CHECK Constraint
  6. Many Different Options while performing insert update and delete operations

  1. Introduction
  2. Filtering data with basic equality filters
  3. Filtering data with basic comparisons
  4. Filtering data with logical comparisons
  5. Filtering data with String Comparisons
  6. Filtering data with NULL Comparisons

  1. Section Introduction
  2. Insert character value with apostrophe/single quote
  3. Order By Clause
  4. Sorting by ascending
  5. Sorting by descending
  6. Sorting by multiple columns
  7. DISTINCT Statement
  8. TOP Clause
  9. OFFSET & FETCH
  10. % Percentage Wildcard
  11. Underscore Wildcard

  1. Introduction
  2. Understanding Grouping
  3. Aggregate Functions
  4. COUNT Function
  5. AVERAGE Function
  6. SUM Function
  7. MAX Function
  8. MIN Function
  9. Aggregate Functions with the GROUP BY Clause
  10. Aggregate Functions with the HAVING Clause
  11. Aggregate Functions with SELECT Command
  12. Group By Clause using Single and Multiple Columns
  13. Difference Between WHERE and HAVING Clause
  14. Using Aggregates to Clean Data and Examine Data Quality
  15. IN Operator
  16. Sub Queries

  1. What are SET Operators
  2. Query Data with EXCEPT
  3. Query Data with INTERSECT
  4. Query Data with UNION

  1. What are Ranking Functions
  2. NTILE Functions
  3. Rank Functions
  4. DENSE RANK Functions
  5. ROW NUMBER FUNCTIONS
  6. Miscellaneous Functions

  1. What are Analytic Functions
  2. Syntax for Analytic Functions
  3. CUME DIST Function
  4. Row Number Functions
  5. Using LEAD Function
  6. Using the LAG Function
  7. Using FIRST_VALUE Function
  8. Using LAST VALUE Function
  9. Using PERCENT RANK Function
  10. Using PERCENT COUNT Function
  11. Using PERCENTILE DISC Function

  1. Section Introduction
  2. Date & Time Data Type
  3. Extract Part of Date Values
  4. GETDATE Function
  5. CURRENT_TIMESTAMP
  6. DATEPART Function
  7. DATEDIFF Function
  8. DATEADD Function
  9. DATE Format
  10. TIME Format
  11. DATE&TIME Format
  12. CAST & CONVERT - More Date & Time Format

  1. Section Introduction
  2. Understanding Comparison Operators
  3. Equal
  4. Not Equal
  5. Greater Than
  6. Less Than
  7. Greater Than or Equal
  8. Less Than or Equal

  1. Section Introduction
  2. AND
  3. OR
  4. BETWEEN
  5. LIKE & NOT LIKE
  6. Case Statement

  1. Section Introduction
  2. Understanding Data Relationship
  3. One to One Relationship
  4. One to Many Relationship
  5. Many to Many Relationship
  6. Normalization
  7. RIGHT JOIN
  8. FULL JOIN
  9. Many to Many

  1. Overview of Joins
  2. What are Joins
  3. Inner join
  4. Left outer join
  5. Right outer join
  6. Full outer join
  7. Union
  8. Cartesian Product with the Cross Join

  1. Section Introduction
  2. Import Flat File
  3. Import .csv or excel file
  4. Export Data to Excel or any format

  1. Section Introduction
  2. Creating Database backup
  3. Restoring Database backup

  1. Download Sample Database
  2. Install Sample Database
  3. Data Analysis of Countries with Customers
  4. Data Analysis of Customer and Employee Count
  5. Data Analysis of Customer Contact Titles
  6. Data Analysis of Customers and Employee Count
  7. Data Analysis of Employee Age with Date Time
  8. Data Analysis of Employee Full Name
  9. Data Analysis of Employee Birth Date in Age Order
  10. Data Analysis of Customer First Order
  11. Data Analysis of discontinued products
  12. Data Analysis of Shippers
  13. Data Analysis of Most and least expensive products
  14. Data Analysis of Orders placed: List of Shippers Query
  15. Data Analysis of Orders shipped to specific countries
  16. Data Analysis of First order placed query
  17. Data Analysis of products stock
  18. Data Analysis of specific products
  19. Data Analysis of Total price
  20. Data Analysis of Sales Reps
  21. Data Analysis of Query to show Sales Reps
  22. Data Analysis of Restricted Fields
  23. Data Analysis of Query to show Sales Reps in a country
  24. Data Analysis of Query to check specific products
  25. Data Analysis of Query to get suppliers details
  26. Data Analysis of Query to Check Products Stock
  27. Data Analysis of Query to check orders Shipped

DATA SCIENCE WITH SQL SERVER & AZURE SQL DATABASE COST


United States

$300.00

United Kingdom

£626.75

Nigeria

N1,222,000.00

Career and Certifications


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FAQs

Data Analytics With SQL

  • Learn how to write SQL (Structured Query Language) from scratch with SQL training course. This course will easily step you through writing SQL using Microsoft's SQL Server Management Studio. SQL allows you to retrieve, sort, filter, group, aggregate and calculate data stored in a SQL Server database. This course is designed for people wanting to learn how to interrogate data from a relational database, how to manipulate this data (Insert, update, and delete records).
  • Although we use SQL Server to interrogate data throughout this course, SQL is a common language easily adapted to other RDBMS (relational database management systems) such as MySQL, IBM DB2, PostgreSQL, Oracle, Ingres, Sybase and Microsoft Access.

After completing this course, you will be able to:

  • Define RDBMS and three normalization forms
  • Using DDL Statements to Create and Manage Tables
  • Manipulating Data Using DML
  • Retrieving Data Using the SQL Select Statement
  • Restricting and Sorting Data
  • Displaying Data from Multiple Tables
  • Using the built-in functions.
  • Using SQL statements to prepare and analyze dataset.

  • Nowadays, information is gathered from a variety of root, and the information is of great value to organizations. However, with an increasing amount of data comes the need for a database that can entrepot information for retrieval and analysis by the trained specialist. Thus, proper data analysis is in high demand in our digital world.
  • A relational database, which logically group information into chunks, are basically used to store and organize large amounts of data. Of course, if you’re looking to retrieve any kind of information from a database, you need to speak its oral communication! The most widely used speech communication for interacting with the database is SQL (Structured Query Language), the amber standard of relational databases.
  • SQL queries, which are essentially requests or instructions that you send to a database, allow you to retrieve information and update, insert, or delete data. SQL is mainly associated with the IT sector and is an everyday instrument for database administrators. Developers use SQL to write an application that requires database connector, and systems architects use it to design database models. All of this mean value that encyclopedism SQL is a great choice for anyone who would like to pursue a career in IT.

The Business Intelligence market is growing significantly across the world and such strong growth pattern followed by market demand is a great opportunity for the following IT Professionals.

  • Business Analysts
  • Data Analysts
  • Project Managers
  • Data Scientists
  • Statisticians and Analysts
  • Business Intelligence Managers

  • SQL Certification Training Cost in USA, UK and NIGERIA is £300.

  • All online training classes are recorded. You will get the recorded sessions so that you can watch the online classes when you want. Also, you can join other class to do your missing classes.

  • GreaterHeight is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry ready.
  • You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.

  • There are no pre-requisites for this course, however, some fundamentals knowledge about DBMS will be beneficial.

All our mentors are highly qualified and experience professionals. All have at least 18-25 yrs. of development experience in various technologies and are trained by GreaterHeight Academy to deliver interactive training to the participants.

  • Yes, we do. As the technology upgrades, we do update our content and provide your training on latest version of that technology.

Exam Pattern for Tableau Desktop Certified Associate Exam

  • Time Limit: 2 hours; please plan for extra time for online exam setup.
  • Question Format: Multiple choice, true/false, multiple responses, hands-on
  • Number of Questions: 36
  • Scoring: Automatically scored; point value varies per question type with hands-on worth more
  • Passing score: 75%
  • Language(s) Offered: English, Simplified Chinese, Japanese, German, Brazilian Portuguese, French, International Spanish.
  • Delivery Platform: Windows Virtual Machine containing Tableau Desktop Source: 
  • https://www.tableau.com/learn/certification/desktop-certified-associate

  • Yes, we would be providing you with the certificate of completion of the program once you have successfully submitted all the assessment and it has been verified by our subject matter experts.

  • Yes, we do. We will discuss all possible technical interview questions and answers during the training program so that you can prepare yourself for interview.

  • No. Any abuse of copyright is taken seriously. Thanks for your understanding on this one.

  • Yes. But you can also raise a ticket with the dedicated support team at any time. If your query does not get resolved through email, we can also arrange one-on-one sessions with our support team. However, our support is provided for a period of Twelve Weeks from the start date of your course.

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Most of our training courses are accredited by the respective governing bodies.

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