6 Reasons why you should choose this SQL course Carefully designed curriculum teaching you everything in SQL that you will need for Data analysis in businesses Comprehensive - covers basics, advanced SQL statements, PostgreSQL, mySQL, interview tips and performance tuning tips as well Business related examples and case studies based on SQL techniques, PostgreSQL, mySQL, data analysis techniques Ample practice exercises because, like any other data analysis tools, SQL requires practice Downloadable resources covering important topics on SQL Your queries on SQL and anything covered in the Masterclass will be responded by the Instructor himself A Verifiable Certificate of Completion is presented to all students who undertake this SQL course. Why should you choose this course? This is a complete tutorial on SQL which can be completed within a weekend. SQL is the most sought after skill for Data analysis roles in all the companies. PostgreSQL, mySQL are highly desired skills for database management and data analysis roles. So whether you want to start a career as a data scientist or just grow you data analysis skills, this course will cover everything you need to know to do that. What makes us qualified to teach you? The course is taught by Abhishek and Pukhraj. Instructors of the course have been teaching Data Science and Machine Learning for over a decade. They have an in-depth knowledge in advanced SQL, PostgreSQL, mySQL, database management, and various data analysis tools available in the market. We are also the creators of some of the most popular online courses - with over 150,000 enrollments and thousands of 5-star reviews like these ones: I had an awesome moment taking this course. It broaden my knowledge more on the power use of SQL as an analytical tools. Kudos to the instructor! - Sikiru Very insightful, learning very nifty tricks and enough detail to make it stick in your mind. - Armand Our Promise Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message. Download Practice files, take Quizzes, and complete Assignments With each lecture, there is a practice sheet attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning. Solution to Assignment is also shared so that you can review your performance. By the end of this course, your confidence in using SQL will soar. You'll have a thorough understanding of how to use SQL for Data analytics as a career opportunity. Go ahead and click the enroll button, and I'll see you in lesson 1! Cheers Start-Tech Academy FAQ's Why learn SQL? SQL is the most universal and common used database language.It powers the most commonly used database engines like PostgreSQL, SQL Server, SQLite, and MySQL. Simply put,If you want to access databases then yes, you need to know SQL. It is not really difficult to learn SQL. SQL is not a programming language, it’s a query language. The primary objective where SQL was created was to give the possibility to common people get interested data from database. It is also an English like language so anyone who can use English at a basic level can write SQL query easily. SQL is one of the most sought-after skills by hiring employers. You can earn good money How much time does it take to learn SQL? SQL is easy but no one can determine the learning time it takes. It totally depends on you. The method we adopted to help you learn SQL quickly starts from the basics and takes you to advanced level within hours. You can follow the same, but remember you can learn nothing without practicing it. Practice is the only way to learn SQL quickly. What are the steps I should follow to learn SQL? Start learning from the basics of SQL. The first 10 sections of the course cover the basics. Once done with the basic try your hands on advanced SQL. Next 10 sections cover Advanced topics Next few sections will cover help you with interviews and Vivas. Practice your learning on the exercise provided in every section. What's the difference between SQL and PostgreSQL? SQL is a language. Specifically, the "Structured Query Language" PostgreSQL is one of several database systems, or RDMS (Relational Database Management System). PostgresSQL is one of several RDMS's, others of which are Oracle, Informix, MySQL, and MSQL. All of these RDMSs use SQL as their language. Each of them have minor variations in the "dialect" of SQL that they use, but it's all still SQL. Which is better, PostgreSQL or MySQL? Both are excellent products with unique strengths, and the choice is often a matter of personal preference. PostgreSQL offers overall features for traditional database applications, while MySQL focuses on faster performance for Web-based applications. Open source development will bring more features to subsequent releases of both databases. Who uses these databases? Here are a few examples of companies that use PostgreSQL: Apple, BioPharm, Etsy, IMDB, Macworld, Debian, Fujitsu, Red Hat, Sun Microsystem, Cisco, Skype. What's special about this course? The course is created on the basis of three pillars of learning: Know (Study) Do (Practice) Review (Self feedback) Know We have created a set of concise and comprehensive videos to teach you all the SQL related skills you will need in your professional career. Do We also provide Exercises to complement the learning from the lecture video. These exercises are carefully designed to further clarify the concepts and help you with implementing the concepts on practical problems faced on-the-job. Review Check if you have learnt the concepts by executing your code and analyzing the result set. Ask questions in the discussion board if you face any difficulty. Bonus Lectures Apart from this, their is a bonus section which covers important topics from the view of job interviews and Vivas. The Authors of this course have several years of corporate experience and hence have curated the course material keeping in mind the requirement of SQL in today's corporate world.

In the fast changing world of data management and data processing, more and more organizations are adopting Cloud computing as their preferred option. The sole aim of this training is to prepare you for your future in the Cloud computing world! This online course will teach you how to take Oracle deployments to a new height using Amazon Web Services. This course is designed to teach you the ins and outs of Oracle database deployment in AWS Cloud, even if you have little to no experience with it, to help support your own Oracle environment in AWS cloud. While there are plenty of Oracle database courses that focus on Oracle deployment, it's hard to find a comprehensive course like this one, which is for beginner to advanced Oracle enthusiatics. This course is designed for all levels of Oracle DBAs or Linux System Administrator who want to improve their skills, support Oracle deployment in AWS, migrate Oracle on AWS and remain competent in the Oracle database world. This course covers best practises used by the pros around the world so that you can follow their lead and improve it even further. The goal of this course is to get you up to speed as quickly as possible, it cover the different kinds of Oracle deployment options, oracle licesing, backup and restore of oracle using AWS S3, Performance Management, Monitoring, and some of the best practises. At the end of the course you'll be a equipped with skills of Oracle deployment on AWS, with enough confidence to start deploying or supporting your Oracle environment in AWS Cloud.

Do you want to learn a skill that can help you earn nearly $100,000 per year? If so, then this course is for you! SQL ( S tructured Q uery L anguage) is the language we use to interact with databases that store data. This allows us to retrieve data with ease and simplicity. As terms like business intelligence and big data become more familiar, businesses will need more people to learn the SQL language. This course will teach you how to use the SQL language within Microsoft SQL Server, one of the most popular database engines in the world. You will have plenty of video lessons to teach you the majority of the content. Each section includes practice problems or additional e-books to help reinforce what you learn in the video tutorials.

Master oracle utilities with very simple practice exercise which helps you to move data between two oracle databases. Learn how to use oracle utilities to perform data import export into different databases. Perform entire database, single table or schema level export and import into another Oracle database Perform table, schema, row level export using traditional Export Import utility Perform table, schema,row level import using traditional Export Import utility Perform CSV file import into Oracle database using SLQ * Loader Perform table, schema, row level export using Oracle Data Pump Export utility Perform table, schema, row level import using Oracle Data Pump Import utility Create Oracle Data Pump directory to perform Export and Import Oracle Data Pump enables very high speed data movement from one database to another In general, DBA has to perform data Export and Import in real-time environment in order duplicate table or schema from one database to another. Oracle provides utilities in order to easily move data between two oracle databases. With over 9 lectures, 6 hands on lab activities and 1.5 hrs of video content, you will learn: How to invoke oracle utilities How to get help for any type of oracle utilities How to import a CSV format file inside Oracle database table How to create SQL * Loader Control File for CSV import How to perform a small table, schema or specific row export using Export Import utility How to perform import of same using Export Import utility How to create Data Pump directory both at OS level and Database level How to perform data Export and Import using high performance Data pump utility By completing Lab Activities, you will be able to work along with the author and learn Oracle Utilities. You can even download lab activities files and practice on your test machine at home.

MongoDB is a very popular open source cross-platform document-oriented database program. This comprehensive tutorial is your one-stop guide to all the aspects of MongoDB administration. You will start with jumping into the configuration, indexing and aggregation aspects of MongoDB. You’ll also see how you can optimize your query performance. Later, we’ll explore the core administration tasks such as deployment, replication, sharding, and application. This course will equip you with all the skills you need to manage a highly efficient database. About the Author Jayant Mohite has been a Big Data Consultant for the last seven years and has delivered training and support to more than 40 companies including top ones such as TCS, Synechron, PWC, SAP, HP and Vodafone. He is a trainer and consultant in his own Training & Development Platform. He has been associated with MongoDB as their official technology partner. He is also a reseller partner for IBM has worked on more than 8 projects on MongoDB. He has worked with HP as an author of Big Data Book for Micro Focus.

LAST UPDATED: November 2020 (Source Code Included for Lectures) Get ready to acquire some seriously marketable programming skills! You can't consider yourself a complete end to end developer until you can code in SQL. Today, data has become the hottest topic in technology and a company's biggest asset is their data. All databases require the language SQL to store and retrieve data. Salaries for junior level SQL Developers are upwards of $70,000 - $90,000 dollars a year! The great thing is, for this course, you do not need any prior experience in programming what so ever. SQL is a different animal and we're going to demystify the language from scratch and prepare you with plenty of progressively challenging assignments so that by the time you've completed the course (in 2 months), you can call your self an Oracle SQL Master! Oracle is the most popular relational database in the world! This course will prepare you to be job-ready in just 1 month of study and practice. All exercises and solutions are in the lectures. In several lectures I ask students to pause the video and complete the assignment before resuming to watch my solution. MAKE SURE YOU WORK OUT THE PROBLEMS ON YOUR OWN BEFORE MOVING ON TO MY SOLUTION!! With over 62,000 enrolled students and a 4.5 star-rating, this is a Udemy best-selling course. Do you have no prior experience in SQL development? This course is perfect for you. Don't take it from me, take it from actual students that took this course: " I am a beginner and the way this course starts is perfect for the person who has no introduction of SQL or Oracle." Do you have prior experience, but need a refresher or to fine-tune your skills? This is the course for you. Again, I'll let my students do the talking: " I had a good base of knowledge from my last employment. This course is constantly proving useful to supercharge my actual knowledge base . Very good one! " Have you taken a SQL course before, but felt confused on certain topics or not completely satisfied in your abilities? A lot of my students had shared similar concerns: " I had previously taken a college course about databases and SQL, but these ten hours of content were more clear and useful than the course and textbook." Topics covered in this course : Basics of Tables SELECT and WHERE Clause WHERE, AND & OR with Operators BETWEEN, IN and NULL Single Table Queries Single Row Functions Grouping Functions GROUP BY and HAVING Clause Joins Inner and Outer Joins EXISTS & NOT EXIST Operators Creating Your Own Tables Using ALTER Creating Tables with SELECT & UPDATE Data DELETE, TRUNCATE, and DROP Commands System Tables, Pseudo Columns & Deleting Duplicates (Newly Added) Views and Other Objects and Commands (Newly Added)

Welcome to Natural Language Processing (NLP) Interview Test Series We have created these real-time full practice tests based on our real interview experience. With the help of these practice test you would be able to clear your NLP interview in first attempt. This is the most comprehensive Test Series online to help you ace your Data Science/Natural Language Processing interviews!

New! Updated for Spark 3, more hands-on exercises, and a stronger focus on DataFrames and Structured Streaming. “Big data" analysis is a hot and highly valuable skill – and this course will teach you the hottest technology in big data: Apache Spark . Employers including Amazon , EBay , NASA JPL , and Yahoo all use Spark to quickly extract meaning from massive data sets across a fault-tolerant Hadoop cluster. You'll learn those same techniques, using your own Windows system right at home. It's easier than you might think. Learn and master the art of framing data analysis problems as Spark problems through over 20 hands-on examples, and then scale them up to run on cloud computing services in this course. You'll be learning from an ex-engineer and senior manager from Amazon and IMDb. Learn the concepts of Spark's DataFrames and Resilient Distributed Datastores Develop and run Spark jobs quickly using Python Translate complex analysis problems into iterative or multi-stage Spark scripts Scale up to larger data sets using Amazon's Elastic MapReduce service Understand how Hadoop YARN distributes Spark across computing clusters Learn about other Spark technologies, like Spark SQL, Spark Streaming, and GraphX By the end of this course, you'll be running code that analyzes gigabytes worth of information – in the cloud – in a matter of minutes. This course uses the familiar Python programming language ; if you'd rather use Scala to get the best performance out of Spark, see my "Apache Spark with Scala - Hands On with Big Data" course instead. We'll have some fun along the way. You'll get warmed up with some simple examples of using Spark to analyze movie ratings data and text in a book. Once you've got the basics under your belt, we'll move to some more complex and interesting tasks. We'll use a million movie ratings to find movies that are similar to each other, and you might even discover some new movies you might like in the process! We'll analyze a social graph of superheroes, and learn who the most “popular" superhero is – and develop a system to find “degrees of separation" between superheroes. Are all Marvel superheroes within a few degrees of being connected to The Incredible Hulk? You'll find the answer. This course is very hands-on; you'll spend most of your time following along with the instructor as we write, analyze, and run real code together – both on your own system, and in the cloud using Amazon's Elastic MapReduce service. 7 hours of video content is included, with over 20 real examples of increasing complexity you can build, run and study yourself. Move through them at your own pace, on your own schedule. The course wraps up with an overview of other Spark-based technologies, including Spark SQL, Spark Streaming, and GraphX. Wrangling big data with Apache Spark is an important skill in today's technical world. Enroll now! " I studied "Taming Big Data with Apache Spark and Python" with Frank Kane, and helped me build a great platform for Big Data as a Service for my company. I recommend the course!  " - Cleuton Sampaio De Melo Jr.

MongoDB makes it possible to store and process large sets of data in ways that increase business value. The flexibility of unstructured, schema-less, storage, combined with robust querying and post-processing functionality, make MongoDB a compelling solution for enterprise big data needs. We need to discuss database schemas. Yes, MongoDB is touted as schema-less but here's where we show that proper design is what allows our collections to scale. Indexing is something everyone talks about, but few understand. We'll explain MongoDB indexing, and index properties because a successful indexing strategy is a key to performance and scaling. Finally, we'll talk about CRUD commands from the MongoDB client and how to write effective queries. Taking this course will help you understand supported standards and data types in MongoDB, and best practices to design collections to scale and index them. Also, you will learn some basic CRUD commands. About the Author Micheal Shallop started programming in 1981 on a Tandy TRS-80 Model 1 and hasn't stopped since. He graduated in 1991 from Oklahoma State University with an Honors degree in Computer Science. In his career, he's coded in many programming languages and has used a variety of databases, relational and otherwise. He was the technical author of a patent awarded in 2011 for his work on real-time data collection, aggregation and forecasting in a conventional (automotive) business. He is currently working for designing and writing a back-end, event-driven, object-oriented, data-agnostic framework utilizing AMQP as the data transport vector and PHP 7.1 as the primary language. He has been programming in PHP for MongoDB since 2010 and has been the architect of several systems, mostly back-end frameworks. Micheal is interested in anything with a programming language behind it. Most recently, he has been experimenting with Arduino, programming on the Raspberry Pi, and writing a social media site in Python. He is also technically skilled in RabbitMQ, general database tech, Python, C/C++, Linux

This course is targeted for people who would like to take Oracle DBA as their career. This course talks about: Oracle DBA Career Expectations from an Oracle DBA Different levels of Oracle DBA What is the Oracle DBA interview pattern Preparing an excellent Oracle DBA resume DBA Genesis provides free mock interviews and resume preparation services online.