665 Courses

Are you fascinated with Netflix and YouTube recommendations and how they accurately recommend content that you would like to watch? Are you looking for a practical course that will teach you how to build intelligent recommendation systems? This course will show you how to build accurate recommendation systems in Python using real-world examples.

Take your Python programming knowledge several notches higher with this advanced training course designed for learners who already speak Python fluently—but want to speak it better. This course delves into deeper aspects of the language, brushing aside the basics and stepping into the more elegant, expressive, and efficient use of Python. From working confidently with decorators, generators, and closures, to understanding asynchronous programming and advanced data structures—this course is tailored for those who want their code to do more, with less. Python may be known for its simplicity, but once you scratch beneath the surface, there’s an entire world of finesse waiting to be explored. Whether you’re brushing up for senior-level roles, fine-tuning your automation skills, or aiming to make your code leaner and smarter—this course offers a structured approach to tackling the tricky bits of Python with a touch of confidence and a dash of clarity. Let’s just say, if Python had an upper crust, you’re about to join it. Learning Outcomes: Gain a deeper understanding of advanced-level Python concepts. Learn how to work with files and handle advanced file operations. Discover how to create and use Python classes to write efficient and maintainable code. Understand how to use library functions to streamline your workflow and take your Python development skills to the next level. Learn how to use Python to build real-world projects and applications. The Python Advanced Training course is designed to provide you with the skills and knowledge you need to become a proficient Python developer. Whether you're a beginner or an experienced programmer looking to enhance your Python skills, this course is perfect for you. Starting with the basics of file handling and moving on to more advanced topics, such as classes and library functions, this course covers everything you need to know to become a master Python developer. You'll learn how to handle advanced file operations, create and use Python classes to write efficient and maintainable code and use library functions to streamline your workflow and take your Python development skills to the next level. Python Advanced Training Course Curriculum Section 01: Introduction Section 02: File Handling Section 03: Python Classes Section 04: Library Functions How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Python developers who want to expand their knowledge of advanced Python concepts. Programmers who want to enhance their Python skills and build real-world projects. Entrepreneurs who want to develop their own Python-based applications. Students who want to enhance their Python skills and prepare for a career in programming. Anyone who wants to take their Python programming skills to the next level. Career path Python Developer: £28,000 - £55,000 Data Analyst: £24,000 - £45,000 Software Engineer: £28,000 - £60,000 Technical Lead: £40,000 - £90,000 Chief Technology Officer: £90,000 - £250,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Overview This comprehensive course on SQL NoSQL Big Data and Hadoop will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This SQL NoSQL Big Data and Hadoop comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this SQL NoSQL Big Data and Hadoop. It is available to all students, of all academic backgrounds. Requirements Our SQL NoSQL Big Data and Hadoop is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 14 sections • 130 lectures • 22:34:00 total length •Introduction: 00:07:00 •Building a Data-driven Organization - Introduction: 00:04:00 •Data Engineering: 00:06:00 •Learning Environment & Course Material: 00:04:00 •Movielens Dataset: 00:03:00 •Introduction to Relational Databases: 00:09:00 •SQL: 00:05:00 •Movielens Relational Model: 00:15:00 •Movielens Relational Model: Normalization vs Denormalization: 00:16:00 •MySQL: 00:05:00 •Movielens in MySQL: Database import: 00:06:00 •OLTP in RDBMS: CRUD Applications: 00:17:00 •Indexes: 00:16:00 •Data Warehousing: 00:15:00 •Analytical Processing: 00:17:00 •Transaction Logs: 00:06:00 •Relational Databases - Wrap Up: 00:03:00 •Distributed Databases: 00:07:00 •CAP Theorem: 00:10:00 •BASE: 00:07:00 •Other Classifications: 00:07:00 •Introduction to KV Stores: 00:02:00 •Redis: 00:04:00 •Install Redis: 00:07:00 •Time Complexity of Algorithm: 00:05:00 •Data Structures in Redis : Key & String: 00:20:00 •Data Structures in Redis II : Hash & List: 00:18:00 •Data structures in Redis III : Set & Sorted Set: 00:21:00 •Data structures in Redis IV : Geo & HyperLogLog: 00:11:00 •Data structures in Redis V : Pubsub & Transaction: 00:08:00 •Modelling Movielens in Redis: 00:11:00 •Redis Example in Application: 00:29:00 •KV Stores: Wrap Up: 00:02:00 •Introduction to Document-Oriented Databases: 00:05:00 •MongoDB: 00:04:00 •MongoDB Installation: 00:02:00 •Movielens in MongoDB: 00:13:00 •Movielens in MongoDB: Normalization vs Denormalization: 00:11:00 •Movielens in MongoDB: Implementation: 00:10:00 •CRUD Operations in MongoDB: 00:13:00 •Indexes: 00:16:00 •MongoDB Aggregation Query - MapReduce function: 00:09:00 •MongoDB Aggregation Query - Aggregation Framework: 00:16:00 •Demo: MySQL vs MongoDB. Modeling with Spark: 00:02:00 •Document Stores: Wrap Up: 00:03:00 •Introduction to Search Engine Stores: 00:05:00 •Elasticsearch: 00:09:00 •Basic Terms Concepts and Description: 00:13:00 •Movielens in Elastisearch: 00:12:00 •CRUD in Elasticsearch: 00:15:00 •Search Queries in Elasticsearch: 00:23:00 •Aggregation Queries in Elasticsearch: 00:23:00 •The Elastic Stack (ELK): 00:12:00 •Use case: UFO Sighting in ElasticSearch: 00:29:00 •Search Engines: Wrap Up: 00:04:00 •Introduction to Columnar databases: 00:06:00 •HBase: 00:07:00 •HBase Architecture: 00:09:00 •HBase Installation: 00:09:00 •Apache Zookeeper: 00:06:00 •Movielens Data in HBase: 00:17:00 •Performing CRUD in HBase: 00:24:00 •SQL on HBase - Apache Phoenix: 00:14:00 •SQL on HBase - Apache Phoenix - Movielens: 00:10:00 •Demo : GeoLife GPS Trajectories: 00:02:00 •Wide Column Store: Wrap Up: 00:05:00 •Introduction to Time Series: 00:09:00 •InfluxDB: 00:03:00 •InfluxDB Installation: 00:07:00 •InfluxDB Data Model: 00:07:00 •Data manipulation in InfluxDB: 00:17:00 •TICK Stack I: 00:12:00 •TICK Stack II: 00:23:00 •Time Series Databases: Wrap Up: 00:04:00 •Introduction to Graph Databases: 00:05:00 •Modelling in Graph: 00:14:00 •Modelling Movielens as a Graph: 00:10:00 •Neo4J: 00:04:00 •Neo4J installation: 00:08:00 •Cypher: 00:12:00 •Cypher II: 00:19:00 •Movielens in Neo4J: Data Import: 00:17:00 •Movielens in Neo4J: Spring Application: 00:12:00 •Data Analysis in Graph Databases: 00:05:00 •Examples of Graph Algorithms in Neo4J: 00:18:00 •Graph Databases: Wrap Up: 00:07:00 •Introduction to Big Data With Apache Hadoop: 00:06:00 •Big Data Storage in Hadoop (HDFS): 00:16:00 •Big Data Processing : YARN: 00:11:00 •Installation: 00:13:00 •Data Processing in Hadoop (MapReduce): 00:14:00 •Examples in MapReduce: 00:25:00 •Data Processing in Hadoop (Pig): 00:12:00 •Examples in Pig: 00:21:00 •Data Processing in Hadoop (Spark): 00:23:00 •Examples in Spark: 00:23:00 •Data Analytics with Apache Spark: 00:09:00 •Data Compression: 00:06:00 •Data serialization and storage formats: 00:20:00 •Hadoop: Wrap Up: 00:07:00 •Introduction Big Data SQL Engines: 00:03:00 •Apache Hive: 00:10:00 •Apache Hive : Demonstration: 00:20:00 •MPP SQL-on-Hadoop: Introduction: 00:03:00 •Impala: 00:06:00 •Impala : Demonstration: 00:18:00 •PrestoDB: 00:13:00 •PrestoDB : Demonstration: 00:14:00 •SQL-on-Hadoop: Wrap Up: 00:02:00 •Data Architectures: 00:05:00 •Introduction to Distributed Commit Logs: 00:07:00 •Apache Kafka: 00:03:00 •Confluent Platform Installation: 00:10:00 •Data Modeling in Kafka I: 00:13:00 •Data Modeling in Kafka II: 00:15:00 •Data Generation for Testing: 00:09:00 •Use case: Toll fee Collection: 00:04:00 •Stream processing: 00:11:00 •Stream Processing II with Stream + Connect APIs: 00:19:00 •Example: Kafka Streams: 00:15:00 •KSQL : Streaming Processing in SQL: 00:04:00 •KSQL: Example: 00:14:00 •Demonstration: NYC Taxi and Fares: 00:01:00 •Streaming: Wrap Up: 00:02:00 •Database Polyglot: 00:04:00 •Extending your knowledge: 00:08:00 •Data Visualization: 00:11:00 •Building a Data-driven Organization - Conclusion: 00:07:00 •Conclusion: 00:03:00 •Assignment -SQL NoSQL Big Data and Hadoop: 00:00:00

Overview This comprehensive course on Docker Training for .Net and Angular Developers will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Docker Training for .Net and Angular Developers comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Docker Training for .Net and Angular Developers. It is available to all students, of all academic backgrounds. Requirements Our Docker Training for .Net and Angular Developers is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 14 sections • 74 lectures • 05:36:00 total length •Module 01: Introduction: 00:05:00 •Module 02: About Me: 00:03:00 •Module 01: Container Overview: 00:02:00 •Module 02: What are containers?: 00:02:00 •Module 03: Containers Vs Virtual Machines: 00:02:00 •Module 04: Containers inside virtual machines: 00:02:00 •Module 05: Developers Vs Ops Team: 00:02:00 •Module 06: Docker Image Vs Containers: 00:02:00 •Module 07 Installation Steps deertr: 00:05:00 •Module 08: Docker Options: 00:10:00 •Module 09: Hands on with Docker: 00:14:00 •Module 01: Creating First Docker File: 00:07:00 •Module 02: Docker Build: 00:05:00 •Module 03 Docker Run: 00:05:00 •Module 04: Docker Run complex HTML site: 00:06:00 •Module 01: Docker commands like ps, ps-a, start, stop: 00:03:00 •Module 02: Docker containers and images cleanup: 00:08:00 •Module 01: Docker Pull: 00:02:00 •Module 02: Docker Run: 00:03:00 •Module 03: Docker Logs: 00:02:00 •Module 04: Docker Inspect: 00:02:00 •Module 05: Docker Stats: 00:02:00 •Docker File Instructions: 00:02:00 •Docker File overview for DotNet App: 00:04:00 •Docker File overview for Angular App: 00:02:00 •Console App example using STDIN example: 00:06:00 •Running Console App using Dockerfile: 00:04:00 •Command Vs Entrypoint: 00:03:00 •Running ASP.NET Core app using Dockerfile: 00:04:00 •Verifying Files uploaded in docker container: 00:03:00 •Debugging Docker Container: 00:06:00 •Running Angular app in a container: 00:09:00 •Verifying files in angular container: 00:03:00 •Creating Docker Compose file: 00:06:00 •Running Docker Compose: 00:05:00 •Introduction: 00:07:00 •Docker Network Creation: 00:08:00 •Creating Container for SQL Server: 00:06:00 •Connecting Dotnet app with SQL Container: 00:05:00 •Adding Docker Compose: 00:07:00 •Dotnet App failing to connect with SQL Server container: 00:04:00 •SQL Container connected with Dotnet app: 00:02:00 •Volume with SQL Container: 00:09:00 •Project Setup: 00:03:00 •Docker File Creation: 00:07:00 •Running On HTTP: 00:04:00 •Dev Certificate Creation: 00:04:00 •Running the container: 00:03:00 •Introduction: 00:04:00 •Tye build: 00:02:00 •Tye run: 00:04:00 •Creating Frontend App using Razor Template: 00:04:00 •Creating Backend App using Web API Template: 00:04:00 •Adding Service Discovery: 00:05:00 •Tye Run with Backend and Frontend Projects: 00:04:00 •Adding Redis: 00:11:00 •Tye Run with Redis: 00:04:00 •Pushing the image on DockerHub: 00:05:00 •Azure Container Registry (ACR) creation: 00:03:00 •Push images to Azure Container Registry (ACR): 00:05:00 •Spinning up Azure Container Instances using Azure Container Registry Images: 00:05:00 •Another way of creating Azure Container Instances: 00:04:00 •Consuming ACI endpoint in angular app: 00:06:00 •Deploying container to web app: 00:04:00 •Introduction: 00:03:00 •Workfile creation: 00:04:00 •Adding steps to login into ACR: 00:06:00 •Docker build and push step: 00:04:00 •Build failure: 00:05:00 •Fixed the Issue and Deployed to ACR: 00:04:00 •SQL Server container preparation: 00:03:00 •SQL Server container creation: 00:04:00 •Connect to SQL Container and publish database schema: 00:07:00 •Thank You: 00:02:00

Embark on a journey to become a MySQL Database Development master! Our course equips you with the skills to design, optimize, and manage databases flawlessly.

Overview Acquire the language of databases with this SQL Programming Complete Bundlecourse. In this data-driven world, data is used to make strategies, find solutions and do a thousand other tasks. Businesses across the world are using big and related data, which makes a basic knowledge of SQL a remarkable skill not only for data scientists but for everyone. This SQL Programming Complete Bundlecourse will teach you the language of databases, SQL, and help you gain proficiency in SQL tools. How will I get my certificate? At the end of the course there will be a written assignment test which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is this course for? There is no experience or previous qualifications required for enrolment on this SQL Programming Complete Bundle. It is available to all students, of all academic backgrounds. Requirements Our SQL Programming Complete Bundle is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management , Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 9 sections • 53 lectures • 07:50:00 total length •Introduction: 00:04:00 •Course Curriculum Overview: 00:05:00 •Overview of Databases: 00:10:00 •MySQL Installation: 00:16:00 •MySQL Workbench Installation: 00:09:00 •Connecting to MySQL using Console: 00:09:00 •Overview of Challenges: 00:04:00 •SQL Statement Basic: 00:16:00 •SELECT Statement: 00:09:00 •SELECT DISTINCT: 00:05:00 •Column AS Statement: 00:12:00 •COUNT built-in Method usage: 00:11:00 •SELECT WHERE Clause - Part One: 00:05:00 •SELECT WHERE Clause - Part Two: 00:11:00 •SQL Statement Basic: 00:16:00 •SQL Limit Clause Statement: 00:09:00 •SQL Using BETWEEN with Same Column Data: 00:11:00 •How to Apply IN Operator: 00:11:00 •Wildcard Characters with LIKE and ILIKE: 00:11:00 •Overview of GROUP BY: 00:06:00 •Aggregation function SUM(): 00:09:00 •Aggregation MIN() and MAX(): 00:05:00 •GROUP BY - One: 00:09:00 •GROUP BY - Two: 00:12:00 •HAVING Clause: 00:05:00 •Overview of JOINS: 00:04:00 •Introduction to JOINS: 00:04:00 •AS Statement table: 00:03:00 •INNER Joins: 00:14:00 •FULL Outer Join: 00:11:00 •LEFT Outer JOIN: 00:08:00 •RIGHT JOIN: 00:08:00 •Union: 00:07:00 •Timestamps: 00:12:00 •EXTRACT from timestamp: 00:10:00 •Mathematical Functions: 00:12:00 •String Functions: 00:22:00 •SUBQUERY: 00:13:00 •Basic of Database and Tables: 00:06:00 •DataTypes: 00:10:00 •Primarykey and Foreignkey: 00:06:00 •Create Table in SQL Script: 00:13:00 •Insert: 00:11:00 •Update: 00:07:00 •Delete: 00:04:00 •Alter Table: 00:09:00 •Drop Table: 00:05:00 •NOT NULL Constraint: 00:08:00 •UNIQUE Constraint: 00:09:00 •Creating a Database backup: 00:12:00 •10a Overview of Databases and Tables: 00:05:00 •10c Restoring a Database: 00:07:00 •Assignment - SQL Programming Complete Bundle: 00:00:00

Embark on a comprehensive journey into the world of MySQL with a focus on its applications in Data Science and Analytics. This course is structured to take you from the fundamentals to advanced topics in MySQL Server. Covering SQL basics, data manipulation and definition, control and analytic functions, and database management, you'll acquire the essential skills for harnessing MySQL's power in data-driven decision-making. Learning Outcomes: Establish a strong foundation in SQL and MySQL. Set up and configure SQL Server for efficient data handling. Master SQL's Data Manipulation, Definition, and Control Language. Create and optimize SQL queries for data analysis. Perform advanced data analytics using SQL. Understand the power of GROUP BY and JOIN statements. Implement data constraints and views for data integrity and security. Develop proficiency in stored procedures, data import/export, and database backup/restore. Why buy this Learn MySQL from Scratch for Data Science and Analytics?  Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Learn MySQL from Scratch for Data Science and Analytics you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Learn MySQL from Scratch for Data Science and Analytics course is ideal for Aspiring Data Scientists and Analysts. Database Administrators and Developers. Students and professionals seeking to enter the field of Data Science. Anyone looking to enhance their SQL and MySQL skills for data-related roles. Prerequisites This Learn MySQL from Scratch for Data Science and Analytics was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Analyst: £25,000 - £50,000 per year. Database Administrator: £30,000 - £60,000 per year. SQL Developer: £30,000 - £60,000 per year. Data Scientist: £40,000 - £80,000 per year. Business Intelligence Analyst: £35,000 - £65,000 per year. Course Curriculum Learn MySQL from Scratch for Data Science and Analytics Section 01: Getting Started Introduction 00:02:00 How to get course requirements 00:01:00 Getting started on Windows, Linux or Mac 00:01:00 How to ask great questions 00:01:00 FAQ's 00:01:00 What is Source Code? 00:09:00 Section 02: SQL Server setting up Section Introduction 00:01:00 MySQL Server Installation 00:14:00 Connect MySQL Server Instance 00:06:00 MySQL Workbench overview 00:11:00 Download and Restore Sample Database 00:08:00 Section 03: SQL Database basics Section Introduction 00:01:00 Overview of Databases 00:09:00 Creating Database 00:07:00 SQL Data Types 00:04:00 Column Data Types on Workbench 00:07:00 Creating Table 00:04:00 Overview of Primary and Foreign Key 00:03:00 Primary Key 00:06:00 Foreign Key 00:12:00 Creating Temporary tables 00:12:00 EER - Enhanced Entity Relationship Diagrams 00:04:00 Section 04: SQL DML (Data Manipulation Language) Section Introduction 00:01:00 Insert statement 00:07:00 Update statement 00:06:00 Delete statement 00:03:00 Section 05: SQL DDL (Data Definition Language) Section Introduction 00:01:00 CREATE table statement 00:08:00 DROP statement 00:03:00 ALTER statement 00:05:00 TRUNCATE statement 00:03:00 COMMENT in query 00:02:00 RENAME table 00:03:00 Section 06: SQL DCL (Data Control Language) Create Database user 00:03:00 GRANT permissions 00:06:00 REVOKE permissions 00:04:00 Section 07: SQL Statement Basic Section Introduction 00:01:00 SQL Statement basic 00:03:00 SELECT Statement 00:03:00 SELECT DISTINCT 00:02:00 SELECT with column headings 00:01:00 Column AS statement 00:02:00 DASHBOARD Analytics 00:06:00 Section 08: Filtering Data rows SELECT WHERE Clause - theory 00:03:00 SELECT WHERE Clause - practical 00:06:00 Section 09: Aggregate functions for Data Analysis Sum() 00:06:00 Min()-Max() 00:03:00 Section 10: SQL Data Analyticstatements Order By statement 00:05:00 SELECT TOP 3 records 00:02:00 BETWEEN command 00:06:00 IN operator 00:03:00 Search Data usingLIKE cards 00:05:00 Section 11: SQL Group by statement Section Introduction 00:01:00 Group by - theory 00:04:00 Data Analytics with Group By 00:04:00 HAVING statement 00:03:00 Section 12: JOINS Overview of Joins 00:02:00 What are Joins 00:02:00 Inner join 00:07:00 Left outer join 00:02:00 Right outer join 00:02:00 Union 00:03:00 CERTESIAN Product or Cross Join 00:03:00 Query Exercise 00:01:00 Solution for Query Exercise 00:01:00 Section 13: SQL Constraints Section introduction 00:01:00 Check constraint 00:09:00 NOT NULL constraint 00:03:00 UNIQUE constraint 00:06:00 Section 14: Views Creating Views 00:03:00 Data Analytic Views from multiple tables 00:03:00 Section 15: Advanced SQL Functions Section Introduction 00:01:00 Timestamp 00:03:00 Extract from timestamp 00:03:00 Mathematical scalar functions 00:03:00 String functions3 00:07:00 Advanced functions 00:04:00 Sub Queries 00:03:00 SELECT with calculations 00:05:00 Section 16: SQL Stored procedures Create stored procedure 00:06:00 Stored procedure with parameter 00:03:00 Drop Procedure 00:01:00 Section 17: Import & Export data Section Introduction 00:01:00 Import .csv file 00:04:00 Export Data to .csv file 00:02:00 Section 18: Backup and Restore Database Section Introduction 00:01:00 Creating Database backup 00:02:00 Restoring Database backup 00:02:00

Overview This comprehensive course on Data Center Training Essentials: Mechanical & Cooling will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Center Training Essentials: Mechanical & Cooling comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Data Center Training Essentials: Mechanical & Cooling. It is available to all students, of all academic backgrounds. Requirements Our Data Center Training Essentials: Mechanical & Cooling is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 2 sections • 6 lectures • 04:50:00 total length •Module 01:Data Center Mechanical Introduction: 01:01:00 •Module 02: Data Center Air Cooling: 00:51:00 •Module 03: Data Center Computational Fluid Dynamics: 01:02:00 •Module 04: Data Center Water Cooling: 00:53:00 •Module 05: Data Center Water Systems Operation: 01:03:00 •Assignment - Data Center Training Essentials: Mechanical & Cooling: 00:00:00

Overview This comprehensive course on Data Center Training Essentials: General Introduction will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Center Training Essentials: General Introduction comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Data Center Training Essentials: General Introduction. It is available to all students, of all academic backgrounds. Requirements Our Data Center Training Essentials: General Introduction is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 2 sections • 7 lectures • 02:41:00 total length •Module 01: Data Center Introduction: 00:37:00 •Module 02: Data Center Reliability: 00:23:00 •Module 03: Data Center Equipment: 00:24:00 •Module 04: Data Center White Space: 00:24:00 •Module 05: Data Center Support Spaces: 00:27:00 •Module 06: Data Center Security, Safety, Networks and IT: 00:26:00 •Assignment - Data Center Training Essentials: General Introduction: 00:00:00

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