Sql For Data Science + Data Analytics + Data Visualization
Date: 19 July 2022 | Posted by: voska89
Published 7/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.23 GB | Duration: 7h 18m
With Azure Data Studio to Become a SQL Expert on Queries for your Business Logic for real world problems!
What you'll learn
Get a job as a junior Data Analytics developer
Advanced SQL statements
Use Azure Data Studio to perform data analysis
Be comfortable putting SQL and Microsoft SQL on their resume
Learn to perform GROUP BY statements
Replicate real-world situations and query reports
Complete Visualization Charts with SandDance extension
Complete basic SELECT statements querying against a single table
Filter data using the WHERE clause to identify required data
Apply SQL for DataScience
Using JOINS, return data from multiple tables in the same query
Complete Analysis statements that use aggregate functions
Import Flat, .CSV, Excel to SQL Database
Performing Secure Backup and Restore Full SQL Database
Requirements
No prior technical experience is required! All you need a computer!
No SQL experience needed. You will learn everything you need to know
No software is required in advance of the course (all software used in the course is free)
Description
Learn how to use SQL for Data Science quickly and effectively with this course!At this Masterclass on SQL course is without a doubt the most comprehensive SQL database course available online. Even if you have zero SQL experience, this course will take you from beginner to mastery. Here's why:You'll learn how to read and write complex queries to a database using one of the most in demand skills - Microsoft SQL Server. These skills are also applicable to any other major RDBMS database, such as MySQL, PostgreSQL, Amazon Redshift, Oracle, and much more.Data science is a dynamic and growing career field that demands knowledge and skills-based in 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.Whether you have successfully completed the other courses in the Learn SQL for Data Science and Data Analytics or are taking just this course, this roadmap is your chance to apply the knowledge and skills you have acquired to practice important SQL querying and solve problems with data. You will participate in your own personal or professional journey to create a portfolio-worthy piece from start to finish. You will choose a 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.Learning SQL for Data Science is one of the fastest ways to improve your career prospects as it is one of the most in demand tech skills! In this course you'll learn quickly and receive challenges and tests along the way to improve your understanding!The course is taught by the lead instructor having 20+ years of professional experience.We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a SQL Data Science developer.In this course you will learn everything you need to become a SQL Data Science Pro! Including: Get started with Microsoft SQL Server, SQL Server Management Studio, and Azure Data Studio these are the world's most popular SQL tools Learn the basics of SQL syntax Analyzing data using aggregate functions with GROUP BY commands Running advanced queries with string operations and comparison operations Learn to use logical operators to add logic flow to your SQL queries Azure Data Studio to Connect SQL Server Instance Learn common SQL JOIN statements Learn to create tables and databases with constraints on data entries Learn to use Python to further advanced your SQL Data Science skills Learn to apply Flat file transaction data to import to SQL Import and Export .CSV or Excel files in to SQL Database Learn How to take Secure backup & restore database. Learn to write SELECT statements Learn to Create SQL scripts Applying Primary Key and Foreign Keys Creating Views and Accessing View Data Writing Stored Procedures for re-use SQL scripts Dynamic SQL queries and Aggregate Functions Subqueries to make complex queries Azure Sand Dance Extension to Create Data Visualization Creating Different Charts on required Business reports Learn to Write Case Statements for Decision Making Queries Apply Real world Data queries for Data Analytics and Data type SELECT on Query Calculations for Discount and Non Discount SALEs and much more!This is course that put's you in control, having you create and restore databases, instead of watching someone else code steps. Every section comes with fresh challenge tasks, modeled after real world tasks and situations.I've spent years as an instructor both online and in-person at Fortune 500 companies, and this course is built to combine the best of both worlds, allowing you to learn at your own pace through an interactive environment. You will start with the basics and soon find yourself working with advanced commands, dealing with timestamp data and variable character information like a seasoned professional.SQL is one of the most in demand skills for business analysts, data scientists, and anyone who finds themselves working with data! Upgrade your skill set quickly and add SQL to your resume by joining today!Check out the free preview videos for more information!By the end of this course, you will be fluently programming and be ready to make any application you can dream of. Sign up today, and look forward to: HD Video Lectures SQL Query Challenges and SQL Query Exercises Beautiful Real-World dynamic ProjectsABOUT YOUR INSTRUCTORSekhar Metla is a software engineer with 20 years of professional experience. He is the author of several online-selling courses with more than 30,000+ students in many countries. He has a Master of Science in Computer Applications as Software Engineering. His students describe him as passionate, pragmatic, and motivational in his teaching.What are you waiting join now to start learning how to make your own SQL Basic Data Science Career TODAY :)
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 How to get course requirements
Lecture 3 Getting started on Windows, Linux or Docker
Lecture 4 How to ask great questions
Lecture 5 FAQ's
Section 2: SQL Server setting up
Lecture 6 Section Introduction
Lecture 7 Microsoft SQL Server Installation
Lecture 8 SQL Server Management Studio (SSMS) Installation
Lecture 9 How to connect MS SQL (Windows Authentication)
Lecture 10 How to connect MS SQL (Windows Authentication)
Lecture 11 Download and Restore Sample Database
Section 3: SQL Azure Data Studio
Lecture 12 What is Azure Data Studio
Lecture 13 Azure Data Studio Installation steps
Lecture 14 Azure Data Studio to Connect SQL Server
Lecture 15 Create a Database
Lecture 16 Create a Table
Lecture 17 Insert Data rows
Lecture 18 View the Data returned by Query
Section 4: SQL Database basic SSMS
Lecture 19 Section Introduction
Lecture 20 Overview of Databases
Lecture 21 Creating Database
Lecture 22 SQL Data Types
Lecture 23 Column Data Types on SSMS
Lecture 24 Creating Table
Lecture 25 Overview of Primary Key and Foreign Key
Lecture 26 Primary Key
Lecture 27 Foreign Key
Lecture 28 Creating Temporary tables
Section 5: SQL Statements for DATA
Lecture 29 Section Introduction
Lecture 30 Insert statement
Lecture 31 Update statement
Lecture 32 Delete statement
Section 6: SQL Data Structure statements
Lecture 33 Section Introduction
Lecture 34 CREATE table statement
Lecture 35 DROP statement
Lecture 36 ALTER statement
Lecture 37 TRUNCATE statement
Lecture 38 COMMENT in query
Lecture 39 RENAME
Section 7: SQL User Management
Lecture 40 Create Database user
Lecture 41 GRANT permissions
Lecture 42 REVOKE permissions
Section 8: SQL Statement Basic
Lecture 43 Section Introduction
Lecture 44 SQL Statement basic
Lecture 45 SELECT Statement
Lecture 46 SELECT DISTINCT
Lecture 47 SELECT with column headings
Lecture 48 Column AS statement
Section 9: Filtering Data rows
Lecture 49 SELECT WHERE Clause – theory
Lecture 50 SELECT WHERE Clause – practical
Section 10: Aggregate functions
Lecture 51 Sum()
Lecture 52 Min()-Max()
Section 11: SQL Query statements
Lecture 53 Order By statement
Lecture 54 SELECT TOP clause in SQL
Lecture 55 BETWEEN command
Lecture 56 IN operator
Lecture 57 Wildcard Characters and LIKE
Section 12: SQL Group by statement
Lecture 58 Section Introduction
Lecture 59 Group by – theory
Lecture 60 Group by – practical
Lecture 61 HAVING statement
Section 13: JOINS for Multiple table Data Analysis
Lecture 62 Overview of Joins
Lecture 63 What are Joins
Lecture 64 Inner join
Lecture 65 Left outer join
Lecture 66 Right outer join
Lecture 67 Full outer join
Lecture 68 Union
Lecture 69 Cartesian Product with the Cross Join
Lecture 70 Query Exercise
Lecture 71 Solution for Query Exercise
Section 14: SQL Constraints
Lecture 72 Section introduction
Lecture 73 Check constraint
Lecture 74 NOT NULL constraint
Lecture 75 UNIQUE constraint
Section 15: Views
Lecture 76 Creating Views
Lecture 77 Reporting with multiple tables
Section 16: Advanced SQL commands
Lecture 78 Section Introduction
Lecture 79 Timestamp
Lecture 80 Extract from timestamp
Lecture 81 Mathematical scalar functions
Lecture 82 Mathematical scalar functions
Lecture 83 SubQuery
Lecture 84 SELECT with calculations
Section 17: SQL Stored procedures
Lecture 85 Create stored procedure
Lecture 86 Stored procedure with parameter
Section 18: Azure Data Studio Visualization
Lecture 87 Installing SandDance Extension
Lecture 88 Visualization Charts
Lecture 89 Multiple Table Data Charts
Section 19: Azure Studio SQL for Data Analysis
Lecture 90 Type Decision for Data Analysis
Lecture 91 Data Analysis with Case Statement and String Text
Section 20: Import & Export data
Lecture 92 Section Introduction
Lecture 93 Import Flat File
Lecture 94 Import .csv or excel file
Lecture 95 Export Data to Excel or any format
Section 21: Backup and Restore Database
Lecture 96 Section Introduction
Lecture 97 Creating Database backup
Lecture 98 Restoring Database backup
Beginner SQL, Data Analytics, Data Science and Visualization - developers curious about SQL Career,Anyone who wants to generate new income streams,Anyone who works with data analytics, charts, or databases!,Anyone who wants to become financially independent,Anyone who wants to start their own business or become freelance,Anyone who wants to become a Data Science developer,If you work in: marketing, finance, accounting, operations, sales, manufacturing, healthcare, financial services, or any other industry/function that collects information Someone who wants to learn skills that give them the potential to earn near SIX figures!
Homepage
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