A complete course on Deep Learning and Neural Networks concepts in a simplified and easy to understand manner. In this course, you will learn the foundations of deep learning. The course covers following: Introduction to Neural networks and its Applications Basics of Neural Networks NumPy crash Course and Vectorization Shallow Neural Networks Deep Neural networks Key parameters in neural network architecture Let's dive into the course.

Apache Spark Multiple Choice Question Practice Test for Certification (Unofficial)  Course is designed for Apache Spark Certification Enthusiast " This is an Unofficial course and this course is not affiliated, licensed or trademarked with Any Spark Certification in any way." Learn the latest Big Data Technology - Spark! And learn to use it with one of the most popular programming languages, Scala! One of the most valuable technology skills is the ability to analyze huge data sets, and this course is specifically designed to bring you up to speed on one of the best technologies for this task, Apache Spark ! The top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA, and more are all using Spark to solve their big data problems! Spark can perform up to 100x faster than Hadoop MapReduce , which has caused an explosion in demand for this skill! Because the Spark 3.0 DataFrame framework is so new, you now have the ability to quickly become one of the most knowledgeable people in the job market! Useful for CRT020: Databricks Certified Associate Developer for Apache Spark 2.4 with Scala 2.11 – Assessment This course offers you practice tests comprising of Most Expected Questions for Exam practice, that mimics the actual certification exam, which will help you get prepared for the main exam environment. It will help you prepare for certification by providing sample questions. This will boost your confidence to appear for certification and also provides you with sample scenarios so that you are well equipped before appearing for the exam. Please Note: These questions are only for practice and understanding level of knowledge only. It is not necessary that these questions may or may not appear for examinations and / or interview questions.

As practitioner of NLP, I am trying to bring many relevant topics  under one umbrella in following topics. The NLP has been most talked about for last few years and the knowledge has been spread across multiple places. 1. The content (80% hands on and 20% theory) will prepare you to work independently on NLP projects 2. Learn - Basic, Intermediate and Advance concepts 3. NLTK, regex, Stanford NLP, TextBlob, Cleaning 4. Entity resolution 5. Text to Features 6. Word embedding 7. Word2vec and GloVe 8. Word Sense Disambiguation 9. Speech Recognition 10. Similarity between two strings 11. Language Translation 12. Computational Linguistics 13. Classifications using Random Forest, Naive Bayes and XgBoost 14. Classifications using DL with Tensorflow (tf.keras) 15. Sentiment analysis 16. K-means clustering 17. Topic modeling 18. How to know models are good enough Bias vs Variance

This Oracle 11g RAC training course from Infinite Skills explains Oracle's Real Application Clusters (RAC) and provides a detailed look at installing and configuring Oracle's RAC environment. This course is designed for an aspiring Oracle database administrator (DBA) or a currently practicing DBA. This RAC training course starts out by teaching you the system, Oracle, and host requirements. You then jump right into learning how to install ASM and Grid Infrastructure Software, create disk groups, and tuneing RAC. The course will take you through RAC diagnostics and how to identify potential RAC problems and troubleshoot. He will teach you about the RAC and Cluster utilities, RAC architecture, and how to add and remove nodes. By the completion of this video based training course, you will have a fundamental understanding of how to install, configure, and maintain Oracle's RAC environment. Working files are included, allowing you to follow along with the author throughout the lessons.

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.

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 Oracle 11g video based training course from Infinite Skills will teach you the basics of operating an Oracle Database server and environment. You will also discover the basics of how to manage and develop for an Oracle Database, and administer one. This tutorial is designed for the beginner. This training will teach you the basics of what it means to administer an Oracle Database. Throughout the training, you will be able to better understand the path you can continue on from here, whether that is to become a DBA, developer or administrator of Oracle Databases. You will learn about processes and architectural concepts of a database. This video training also covers topics such as storage, data modelling, basic SQL, database tasks, and how all of these apply specifically to Oracle Databases. By the completion of this video tutorial, you will have a fundamental understanding of how an Oracle Database server and environment function, as well as how database concepts apply specifically to an Oracle Database. Working files are included to assist you as you work through this computer software training course.