How to find a job with SQL Server Analysis skills

1. SQL for Data Analysis - with SQL Server

4.7

(1,659)

If you spend a lot of time extracting, transforming, or analyzing data from databases, - or you're aiming for one of the many highly paid career paths that rely heavily on this skill - then this course is for you. Learning to query databases with SQL is a substantial part of highly paid careers such as Data Analyst and Business Intelligence Analyst, but also provides a strong foundation for even more exotic roles like that of a Data Scientist. Experienced Data Scientists will tell you that the majority of their time isn't spent tuning machine learning algorithms, but rather preparing and cleaning data for use by those algorithms - something SQL does exceptionally well. In this course, I have tried to avoid simply regurgitating an encyclopedia of facts about SQL, an approach that is all too common in introductory books and courses on programming. Instead, I carefully curated certain concepts and techniques that I have found to provide the most bang for your buck over my decade of experience as a data professional. This enabled me to condense a complete course on SQL into just 36 instructional videos, averaging less than 10 minutes in length. So if you can commit to a video a day, in just over one month you'll have added an extremely valuable and lucrative skill to your arsenal (and just as importantly, your resume!). And to make sure all that knowledge sticks, I've included exercises... LOTS of exercises. Unlike most courses, which only feature sporadic opportunities to practice what you've learned, this course has practice problems after almost every video - so you can reinforce concepts right away. Take it from someone who has built their career almost entirely on self-taught technical skills: it's worth the effort. Several recent surveys have shown that SQL is actually the MOST in-demand tech skill sought after by recruiters! In short, learning SQL can change your life, if you put in the work Let me be your guide to this next step in your career - I think you'll find the journey a lot less daunting, and maybe even a little more fun, than you would have ever expected...

2. Advanced SQL Server Transaction Log Analysis

4.5

(783)

COURSE REVIEWS: Thanks Mike. Absolutely fantastic. Learnt so much. Clearly presented with excellent use of technology to demonstrate the key points. It covered many aspects of SQL Server not just SQL syntax and gave practical demonstrations of every subject covered. Brilliant. - Mr Dave MorganA very succinct introduction to the SQL Server transaction log. A must for anyone wishing to understand the function of the transaction log and learn how to explore its contents within the space of an hour or two. - StylianosGreat - Richard    The explanation was very simple and easy to understand. - MansoorVery good forensic procedures. - ThomasThanks very much, nice course - StanislawGreat explanation and very representative examples. - Roman I am learning a lot about SQL Server Transaction Log Analysis. - DeboraConcise review of basic SQL premises along with log analysis at current and file levels. Good course. - Mike HExcellent material and quick to the point! - Nick Y. COURSE INTRODUCTION: Welcome to Advanced SQL Server Transaction Log Analysis.    In this course, we are going to take a deep dive into analyzing the transaction log.  The SQL Server transaction log contains the history of every action that modified anything in the database.   Before data is written or saved on disk a copy or record of that transaction is first written to the transaction log.    This is part of the D in the ACID properties. Recall that D stands for durability and durability is the ACID property which guarantees that transactions that have committed will survive permanently.    For example, if a flight booking reports that a seat has successfully been booked, then the seat will remain booked even if the system crashes.   This process in SQL Server is accomplished by WAL or Write Ahead Logging.    SQL Server uses a write-ahead log (WAL), which guarantees that no data modifications are written to disk before the associated log record is written to disk.   No matter what you've read about non-logged operations the truth is that every user transactions that modifies an internal SQL Server object is logged.    In the course we will learn how WAL works for SQL Srever and some internal architecture on how this is accomplished.    Thanks for your interest in Advanced SQL Server Transaction Log Analysis and we will see you in the course...

3. Beginner Data Analysis Using SQL and Microsoft SQL Server

4

(87)

SQL Server is a relational database management system  -RDBMS  developed and owned by Microsoft. Thousands of companies all over the world use SQL Server for their data solution. SQL -Structured Query Language is an internationally recognised language used to communicate and manipulate various database systems. T-SQL  - Transact SQL is Microsoft's implementation of SQL.  There are a lot of similarities between them but also proprietary parts that are specific to SQL Server. SQL can be used for Data Analysis to transform data already present in the database to valuable useful information that help companies and organisations make key business and management decisions. This course is a beginners guide to performing data analysis using SQL to  interrogate SQL Server to provide answers to data related questions.  You will learn to write useful SQL queries that is applicable to the Real World  production environment. Everywhere data is being collected, every transaction, every web page visit, every payment-all these and much, much more are filling relational databases with raw data that can be analysed to provide useful information. There is a demand for people who can use  data to perform reporting and analysis thus helping businesses and organizations make important and critical decisions. Skills You will learn  include: • How to design and write simple SQL queries for data  analysis.  • How to merge data from multiple tables• How to use aggregate functions • How to use wild cards with SQL queries• How to group related data• How to Filter Data search with SQL WHERE clause• How to Use Alias • How to retrieve all the data from a table In this course we will use SQL to provide answers to questions like: How many customers  or employees doe a company has?How many sales reps does a company have?When was the first order placed? This course is packed with real world examples that will help you build your SQL Skills....

4. SQL Server SSAS (Tabular) - Analysis Services & DAX

4.5

(292)

This is the number 1 course for learning Tabular SSAS according to many successful real life customers. Most times customers didn't know how to handle SSAS (Analysis Services) because they were missing the technical basis to develop their business intelligence solution. Occasionally they already have a multidimensional Analysis Services Model, which offers  some drawbacks in comparison with the new possibilities, that come with Tabular Cubes. I have another course that deals with multidimensional Cubes. Feel free to preview section Differences between Multidimensional and Tabular Cubes to consider which course fits better. -----------------------------------------------------------------------------------------------------Welcome to my practical Course on SSAS Tabular Cube Tutorial for non techies // Power BI // Practice: You are looking for modern and meaningful Business Intelligence (BI) reports? So far, you're missing the experience and the confidence in your technical skills, to just get started and create a comprehensive data model, that suits your needs of a modern state of the art BI solution?Or are you about to make a big move into a highly trained job and therefore want to improve your data analytics skills? The business intelligence market is one of the fastest growing branches of business, according to relevant expert opinions. Increase your personal value for your current employer or future companies, by convincing them with your practical, custom-designed Know-How. This tutorial is specially for people, who like to justify operational decisions on solid data with the help of SSAS, Excel and Power BI. You are going to learn in this course how to integrate data in SQL Server, how to set up your own tabular cubes in SSAS and at the end, how to retrieve the data through modern Front-end tools. Furthermore this is not an abstract high-level tutorial, but rather a self practicing course. I will provide you with all the Files, scripts, software which you need in this course and going to show you step by step how to install SQL Server and it's components (SSAS, SSIS, SSRS). We will work with the newest SQL Server 2017 and Power BI version, that for training reasons are completely free of charge! Don't hesitate to improve your knowledge and increase your business intelligence job chances. Learn to love SSAS and handle it like a pro. Do the first step with this course and get insights to a whole new view inside the world of data analysis! Note: In this course you'll also get downloadable source code...

5. The Advanced SQL Server Masterclass For Data Analysis

4.7

(2,996)

Do you already know the basics of SQL, but sometimes get frustrated when you encounter situations where the basics just aren't enough?Are you a junior analyst who wants to level up to advanced SQL so you can take the next step in your career?Or maybe you're a data scientist who knows enough SQL to get by, but want to take your skills further so you can spend less time wrangling data and more time building models. If any of these sound like your situation, then you're in the right place. This course on advanced SQL for data analysis  has everything that isn't covered in introductory SQL courses. The curriculum goes DEEP, spanning all the advanced techniques you'll ever need to wrangle and analyze data in the fastest and most efficient way possible. And these concepts aren't presented in isolation; everything is taught in the context of real-world analytics scenarios, meaning you'll be ready to apply these techniques on the job from day one. Here's a look at just some of the things you'll get out of this course: Make the leap to Senior Analyst by mastering advanced data wrangling techniques with SQLBecome the resident SQL expert on your teamPerform nuanced analysis of large datasets with Window FunctionsUse subqueries, CTEs and temporary tables to handle complex, multi-stage queries and data transformationsWrite efficient, optimized SQLLeverage indexes to speed up your SQL queriesSupercharge your SQL knowledge with procedural programming techniques like variables and IF statementsProgram database objects like user defined functions and stored procedures that will make life easier for you AND your teammatesMaster useful tips and tricks not found in most database courses, like Dynamic SQLGain an intuition for what technique to apply and whenTrain your brain with tons of hands-on exercises that reflect real-world business scenariosWhat makes this course differentThere are three things that really set this course apart. First is its scope. We'll dig deep into the advanced toolbox that SQL has to offer, uncovering techniques to solve problems that leave even senior analysts scratching their heads. Second is a relentless focus on that practical, real-world applications. Techniques are taught not as abstract concepts, but rather as solutions to common data wrangling and analytics problems. And whenever possible, these techniques are presented, not in isolation, but in combination with other things that have already been covered. This spiral approach reinforces concepts you've learned so they stay with you long after taking the course. Finally, and most importantly, the course provides a treasure trove of coding exercises that give you ample opportunity for hands-on practice. And these exercises are distributed throughout the course - not clustered together after hours of videos. This means you'll have an opportunity to practice every concept you learn, right after you learn it. So if you want to go from SQL apprentice to SQL master, enroll today. I look forward to seeing you in the course...