261 Courses in Cardiff delivered On Demand

Gain n-depth knowledge about Docker technology and the confidence to help your company or your own project to apply the right Docker deployment workflow. Learn all about Docker, Docker REST API, and Docker continuous integration to build Docker images.

This course will help you become familiar with the implementation of creational design patterns. Featuring real-world examples written in modern C++, each pattern is explained in detail to help you to understand how the pattern can be implemented efficiently using language features.

Using Ansible to automate local and cloud configuration management tasks with Playbooks

Overview This comprehensive course on Django Rest Framework Level 4 will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Django Rest Framework Level 4 comes with accredited certification, 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 Django Rest Framework Level 4. It is available to all students, of all academic backgrounds. Requirements Our Django Rest Framework Level 4 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 15 sections • 82 lectures • 04:40:00 total length •Module 01: Course and Instructor Introduction: 00:03:00 •Module 02: How to make the best of this course: 00:02:00 •Module 01: What is REST?: 00:06:00 •Module 02: Why REST: 00:08:00 •Module 03: What and Why DJango REST Framework: 00:06:00 •Module 01: Install DJango: 00:03:00 •Module 02: Install DJango REST Framework: 00:01:00 •Module 03: Install MySql and MySql workbench: 00:03:00 •Module 04: Launch MySql workbench: 00:02:00 •Module 05: Install python mysqlclient: 00:01:00 •Module 06: Install ATOM: 00:03:00 •Module 07: Install Postman: 00:01:00 •Module 01: Create the project: 00:02:00 •Module 02: Create a view: 00:02:00 •Module 03: Configure the URL and TEST: 00:03:00 •Module 04: Create app level urls: 00:02:00 •Module 05: Create a model class: 00:03:00 •Module 06: Configure the database and run migrations: 00:03:00 •Module 07: Use the model in the view and test: 00:03:00 •Module 01: DRF Components: 00:06:00 •Module 02: Function Based Views: 00:05:00 •Module 03: Serializers: 00:04:00 •Module 04: Create the Project: 00:02:00 •Module 05: Create the Model: 00:02:00 •Module 06: Create the Serializer: 00:02:00 •Module 07: GET single student: 00:04:00 •Module 08: Create Student: 00:04:00 •Module 09: Implement Non Primary Key Based Operations: 00:07:00 •Module 10: Use @api_view: 00:01:00 •Module 11: Configure the URLs: 00:02:00 •Module 12: Test: 00:07:00 •Module 13: Test Using Postman: 00:04:00 •Module 01: Introduction: 00:01:00 •Module 02: Create the Project: 00:01:00 •Module 03: Implement Non Primary Key Based Operations: 00:06:00 •Module 04: Implement Primary Key Based Operations: 00:07:00 •Module 05: Configure the URLs and TEST: 00:04:00 •Module 01: Introduction: 00:05:00 •Module 02: Non Primary Key based operations: 00:04:00 •Module 03: Primary Key based operations: 00:02:00 •Module 04: Configure the URLs and TEST: 00:02:00 •Module 01: Generics: 00:03:00 •Module 02: Generics in action: 00:03:00 •Module 01: Introduction: 00:03:00 •Module 02: Create ViewSet: 00:02:00 •Module 03: Configure URLs and Test: 00:04:00 •Module 01: Create the Project: 00:03:00 •Module 02: Create model: 00:03:00 •Module 03: Create Serializers: 00:04:00 •Module 04: Create REST endpoints: 00:03:00 •Module 05: Configure URLs: 00:02:00 •Module 06: Test: 00:03:00 •Module 01: Introduction: 00:06:00 •Module 02: Pagination in action: 00:05:00 •Module 03: Pagination at class level: 00:03:00 •Module 04: Using LimitOffsetPagination: 00:01:00 •Module 01: Introduction: 00:04:00 •Module 02: Authentication in action: 00:03:00 •Module 03: Authorization in action: 00:06:00 •Module 04: Global Security: 00:04:00 •Module 01: Usecase: 00:01:00 •Module 02: Create the Project: 00:01:00 •Module 03: Create Model Classes: 00:03:00 •Module 04: Create Reservation Model: 00:01:00 •Module 05: Create Serializers: 00:01:00 •Module 06: Create ViewSets: 00:02:00 •Module 07: Configure the Router: 00:02:00 •Module 08: Run Migrations: 00:01:00 •Module 09: Initial round of testing: 00:04:00 •Module 10: Implement findFlights endpoint: 00:03:00 •Module 11: Test findFlights: 00:05:00 •Module 12: Implement Save Reservation: 00:06:00 •Module 13: Test Save Reservation: 00:04:00 •Module 01: In-Built Validations: 00:04:00 •Module 02: Allowing Blank and Null Values: 00:02:00 •Module 03: Create Custom Validator: 00:05:00 •Module 04: Two more ways: 00:07:00 •Module 01: Introduction: 00:03:00 •Module 02: Configure Token Auth: 00:05:00 •Module 03: Create Users and Token: 00:04:00 •Module 04: Token Auth in action: 00:03:00 •Module 05: Automate Token Creation: 00:09:00

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

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 Data Visualization and Reporting with Power BI will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Visualization and Reporting with Power BI 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 Visualization and Reporting with Power BI. It is available to all students, of all academic backgrounds. Requirements Our Data Visualization and Reporting with Power BI 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 15 sections • 140 lectures • 14:25:00 total length •Welcome!: 00:01:00 •What is Power BI?: 00:03:00 •Download & Installing Power BI Desktop: 00:04:00 •Getting to know the interface: 00:03:00 •Mini Project: Transform Data: 00:07:00 •Mini Project: Visualize Data: 00:05:00 •Mini Project: Creating a Data Model: 00:07:00 •Course Outline: What will you learn in this course?: 00:05:00 •How to learn best with this course?: 00:03:00 •Creating our initial project file: 00:04:00 •Working with the attached project files: 00:04:00 •Exploring the Query Editor: 00:06:00 •Connecting to our data source: 00:07:00 •Editing rows: 00:08:00 •Changing data types: 00:08:00 •Replacing values: 00:03:00 •Close & Apply: 00:03:00 •Connecting to a csv file: 00:03:00 •Connecting to a web page: 00:05:00 •Extracting characters: 00:06:00 •Splitting & merging columns: 00:09:00 •Creating conditional columns: 00:06:00 •Creating columns from examples: 00:09:00 •Merging Queries: 00:17:00 •Pivoting & Unpivoting: 00:06:00 •Appending Queries: 00:08:00 •Practice & Solution: Population table: 00:15:00 •The Fact-Dimension-Model: 00:09:00 •Practice: Load the dimension table: 00:04:00 •Organizing our queries in groups: 00:03:00 •Entering data manually: 00:05:00 •Creating an index column: 00:03:00 •Workflow & more transformations: 00:05:00 •Module summary: 00:05:00 •Exercise 1 - Instruction: 00:02:00 •Exercise 1 - Exercise Solution: 00:11:00 •Advanced Editor - Best practices: 00:09:00 •Performance: References vs. Duplicating: 00:10:00 •Performance: Enable / Disable Load & Report Refresh: 00:05:00 •Group by: 00:05:00 •Mathematical Operations: 00:05:00 •Run R Script: 00:15:00 •Using Parameters to dynamically transform data: 00:06:00 •M formula language: Basics: 00:07:00 •M formula language: Values, Lists & Tables: 00:14:00 •M formula language: Functions: 00:13:00 •M formula language: More functions & steps: 00:05:00 •Exercise 2 - Instructions: 00:01:00 •Exercise 2 - solution: 00:05:00 •Understanding the relationship: 00:05:00 •Create & edit relationships: 00:06:00 •One-to-many & one-to-one relationship: 00:06:00 •Many-to-many (m:n) relationship: 00:08:00 •Cross filter direction: 00:06:00 •Activate & deactivate relationships: 00:06:00 •Model summary: 00:03:00 •Exercise 3 Create Model: 00:02:00 •Exercise 3 Solution: 00:02:00 •Our first visual: 00:08:00 •The format tab: 00:12:00 •Understanding tables: 00:10:00 •Conditional formatting: 00:09:00 •The Pie Chart: 00:06:00 •All about the filter visual: 00:13:00 •The filter pane for developers: 00:09:00 •Cross filtering & edit interactions: 00:04:00 •Syncing slicers across pages: 00:07:00 •Creating drill downs: 00:08:00 •Creating drill throughs: 00:07:00 •The tree map visual: 00:07:00 •The decomposition tree: 00:05:00 •Understanding the matrix visual: 00:05:00 •Editing pages: 00:07:00 •Buttons & Actions: 00:09:00 •Bookmarks to customize your report: 00:10:00 •Analytics and Forecasts with line charts: 00:10:00 •Working with custom visuals: 00:07:00 •Get data using R Script & R Script visual: 00:08:00 •Asking questions - Q&A visual: 00:04:00 •Wrap up - data visualization: 00:08:00 •Python in Power BI - Plan of attack: 00:03:00 •Setting up Python for Power BI: 00:03:00 •Transforming data using Python: 00:11:00 •Creating visualizations using Python: 00:08:00 •Violin plots, pair plots & ridge plots using Python: 00:15:00 •Machine learning (BayesTextAnalyzer) using Python: 00:00:00 •Performance & Troubleshooting: 00:03:00 •Introduction: 00:01:00 •Show Empathy & Identify the Requirement: 00:03:00 •Finding the Most Suitable KPI's: 00:02:00 •Choose an Effective Visualization: 00:04:00 •Make Use of Natural Reading Pattern: 00:03:00 •Tell a Story Using Visual Cues: 00:05:00 •Avoid Chaos & Group Information: 00:02:00 •Warp Up - Storytelling with Data: 00:02:00 •Introduction: 00:03:00 •The project data: 00:04:00 •Measures vs. Calculated Columns: 00:15:00 •Automatically creating a date table in DAX: 00:08:00 •CALENDAR: 00:05:00 •Creating a complete date table with features: 00:04:00 •Creating key measure table: 00:03:00 •Aggregation functions: 00:06:00 •The different versions of COUNT: 00:14:00 •SUMX - Row based calculations: 00:09:00 •CALCULATE - The basics: 00:11:00 •Changing the context with FILTER: 00:07:00 •ALL: 00:08:00 •ALL SELECTED: 00:03:00 •ALL EXCEPT: 00:07:00 •How to go on now?: 00:03:00 •Power BI Pro vs Premium & Signing up: 00:04:00 •Exploring the interface: 00:04:00 •Discovering your workspace: 00:03:00 •Connecting Power BI Desktop & Cloud: 00:04:00 •Understanding datasets & reports: 00:03:00 •Working on reports: 00:04:00 •Updating reports from Power BI Desktop: 00:04:00 •Creating and working with workspaces: 00:07:00 •Installing & using a data gateway: 00:13:00 •Get Quick Insights: 00:03:00 •Creating dashboards: 00:04:00 •Sharing our results through Apps: 00:10:00 •Power BI Mobile App: 00:05:00 •Creating the layout for the Mobile App: 00:04:00 •Wrap up - Power BI Cloud: 00:07:00 •Introduction: 00:03:00 •Creating a Row-Level Security: 00:05:00 •Row-Level Security in the Cloud: 00:04:00 •Row-Level Security & Data Model: 00:05:00 •Dynamic Row-Level Security: 00:07:00 •Dynamic Many-to-Many RLS: 00:04:00 •Hierarchical Row-Level Security: 00:13:00 •JSON & REST API: 00:10:00 •Setting up a local MySQL database: 00:14:00 •Connecting to a MySQL database in Power BI: 00:05:00 •Connecting to a SQL database (PostgreSQL): 00:05:00 •Congratulations & next steps: 00:06:00 •The End: 00:01:00 •Resources - Data Visualization and Reporting with Power BI: 00:00:00

Overview This comprehensive course on Complete Microsoft Power BI 2021 will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Complete Microsoft Power BI 2021 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 Complete Microsoft Power BI 2021. It is available to all students, of all academic backgrounds. Requirements Our Complete Microsoft Power BI 2021 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 15 sections • 140 lectures • 14:25:00 total length •Welcome!: 00:01:00 •What is Power BI?: 00:03:00 •Download & Installing Power BI Desktop: 00:04:00 •Getting to know the interface: 00:03:00 •Mini Project: Transform Data: 00:07:00 •Mini Project: Visualize Data: 00:05:00 •Mini Project: Creating a Data Model: 00:07:00 •Course Outline: What will you learn in this course?: 00:05:00 •How to learn best with this course?: 00:03:00 •Creating our initial project file: 00:04:00 •Working with the attached project files: 00:04:00 •Exploring the Query Editor: 00:06:00 •Connecting to our data source: 00:07:00 •Editing rows: 00:08:00 •Changing data types: 00:08:00 •Replacing values: 00:03:00 •Close & Apply: 00:03:00 •Connecting to a csv file: 00:03:00 •Connecting to a web page: 00:05:00 •Extracting characters: 00:06:00 •Splitting & merging columns: 00:09:00 •Creating conditional columns: 00:06:00 •Creating columns from examples: 00:09:00 •Merging Queries: 00:17:00 •Pivoting & Unpivoting: 00:06:00 •Appending Queries: 00:08:00 •Practice & Solution: Population table: 00:15:00 •The Fact-Dimension-Model: 00:09:00 •Practice: Load the dimension table: 00:04:00 •Organizing our queries in groups: 00:03:00 •Entering data manually: 00:05:00 •Creating an index column: 00:03:00 •Workflow & more transformations: 00:05:00 •Module summary: 00:05:00 •Exercise 1 - Instruction: 00:02:00 •Exercise 1 - Exercise Solution: 00:11:00 •Advanced Editor - Best practices: 00:09:00 •Performance: References vs. Duplicating: 00:10:00 •Performance: Enable / Disable Load & Report Refresh: 00:05:00 •Group by: 00:05:00 •Mathematical Operations: 00:05:00 •Run R Script: 00:15:00 •Using Parameters to dynamically transform data: 00:06:00 •M formula language: Basics: 00:07:00 •M formula language: Values, Lists & Tables: 00:14:00 •M formula language: Functions: 00:13:00 •M formula language: More functions & steps: 00:05:00 •Exercise 2 - Instructions: 00:01:00 •Exercise 2 - solution: 00:05:00 •Understanding the relationship: 00:05:00 •Create & edit relationships: 00:06:00 •One-to-many & one-to-one relationship: 00:06:00 •Many-to-many (m:n) relationship: 00:08:00 •Cross filter direction: 00:06:00 •Activate & deactivate relationships: 00:06:00 •Model summary: 00:03:00 •Exercise 3 Create Model: 00:02:00 •Exercise 3 Solution: 00:02:00 •Our first visual: 00:08:00 •The format tab: 00:12:00 •Understanding tables: 00:10:00 •Conditional formatting: 00:09:00 •The Pie Chart: 00:06:00 •All about the filter visual: 00:13:00 •The filter pane for developers: 00:09:00 •Cross filtering & edit interactions: 00:04:00 •Syncing slicers across pages: 00:07:00 •Creating drill downs: 00:08:00 •Creating drill throughs: 00:07:00 •The tree map visual: 00:07:00 •The decomposition tree: 00:05:00 •Understanding the matrix visual: 00:05:00 •Editing pages: 00:07:00 •Buttons & Actions: 00:09:00 •Bookmarks to customize your report: 00:10:00 •Analytics and Forecasts with line charts: 00:10:00 •Working with custom visuals: 00:07:00 •Get data using R Script & R Script visual: 00:08:00 •Asking questions - Q&A visual: 00:04:00 •Wrap up - data visualization: 00:08:00 •Python in Power BI - Plan of attack: 00:03:00 •Setting up Python for Power BI: 00:03:00 •Transforming data using Python: 00:11:00 •Creating visualizations using Python: 00:08:00 •Violin plots, pair plots & ridge plots using Python: 00:15:00 •Machine learning (BayesTextAnalyzer) using Python: 00:00:00 •Performance & Troubleshooting: 00:03:00 •Introduction: 00:01:00 •Show Empathy & Identify the Requirement: 00:03:00 •Finding the Most Suitable KPI's: 00:02:00 •Choose an Effective Visualization: 00:04:00 •Make Use of Natural Reading Pattern: 00:03:00 •Tell a Story Using Visual Cues: 00:05:00 •Avoid Chaos & Group Information: 00:02:00 •Warp Up - Storytelling with Data: 00:02:00 •Introduction: 00:03:00 •The project data: 00:04:00 •Measures vs. Calculated Columns: 00:15:00 •Automatically creating a date table in DAX: 00:08:00 •CALENDAR: 00:05:00 •Creating a complete date table with features: 00:04:00 •Creating key measure table: 00:03:00 •Aggregation functions: 00:06:00 •The different versions of COUNT: 00:14:00 •SUMX - Row based calculations: 00:09:00 •CALCULATE - The basics: 00:11:00 •Changing the context with FILTER: 00:07:00 •ALL: 00:08:00 •ALL SELECTED: 00:03:00 •ALL EXCEPT: 00:07:00 •How to go on now?: 00:03:00 •Power BI Pro vs Premium & Signing up: 00:04:00 •Exploring the interface: 00:04:00 •Discovering your workspace: 00:03:00 •Connecting Power BI Desktop & Cloud: 00:04:00 •Understanding datasets & reports: 00:03:00 •Working on reports: 00:04:00 •Updating reports from Power BI Desktop: 00:04:00 •Creating and working with workspaces: 00:07:00 •Installing & using a data gateway: 00:13:00 •Get Quick Insights: 00:03:00 •Creating dashboards: 00:04:00 •Sharing our results through Apps: 00:10:00 •Power BI Mobile App: 00:05:00 •Creating the layout for the Mobile App: 00:04:00 •Wrap up - Power BI Cloud: 00:07:00 •Introduction: 00:03:00 •Creating a Row-Level Security: 00:05:00 •Row-Level Security in the Cloud: 00:04:00 •Row-Level Security & Data Model: 00:05:00 •Dynamic Row-Level Security: 00:07:00 •Dynamic Many-to-Many RLS: 00:04:00 •Hierarchical Row-Level Security: 00:13:00 •JSON & REST API: 00:10:00 •Setting up a local MySQL database: 00:14:00 •Connecting to a MySQL database in Power BI: 00:05:00 •Connecting to a SQL database (PostgreSQL): 00:05:00 •Congratulations & next steps: 00:06:00 •The End: 00:01:00 •Resources - Complete Microsoft Power BI 2021: 00:00:00

Everywhere, from tiny businesses to major corporations, needs people skilled in SQL. In light of this, our online training course has been developed to help you succeed by equipping you with all the necessary skills. The importance of mastering SQL increases if you're looking for your first job in the data industry. You will learn about topics such as SQL fundamentals, data wrangling, SQL analysis, AB testing, distributed computing with Apache Spark, Delta Lake, and more through four increasingly more challenging SQL projects with data science applications. These subjects will equip you with the skills necessary to use SQL creatively for data analysis and exploration, write queries quickly, produce datasets for data analysis, conduct feature engineering, integrate SQL with other data analysis and machine learning toolsets, and work with unstructured data. This Specialisation is designed for a learner with little or no prior coding expertise who wants to become proficient with SQL queries. Experts have meticulously planned out the curriculum for the SQL Skills Training course with years of expertise. As a result, you will find it simple to learn the course material. Learning outcome After finishing the course, you'll Learn to utilise the tools for view creation Become familiar with updating columns and indexed views Be able to test and debug Be able to search a database using SQL Become more familiar with inline table-valued functions Learn the fundamentals of transactions and multiple statements Why Prefer US? Opportunity to earn a certificate accredited by CPD after completing this course Student ID card with amazing discounts - completely for FREE! (£10 postal charges will be applicable for international delivery) Standards-aligned lesson planning Innovative and engaging content and activities Assessments that measure higher-level thinking and skills Complete the program in your own time, at your own pace Each of our students gets full 24/7 tutor support *** Course Curriculum *** SQL Programming Course Module 01: Course Introduction Introduction Course Curriculum Overview Overview of Databases Module 02: SQL Environment Setup MySQL Installation MySQL Workbench Installation Connecting to MySQL using Console Module 03: SQL Statement Basics Overview of Challenges SQL Statement Basic SELECT Statement SELECT DISTINCT Column AS Statement COUNT built-in Method usage SELECT WHERE Clause - Part One SELECT WHERE Clause - Part Two Statement Basic Limit Clause Statement Using BETWEEN with Same Column Data How to Apply IN Operator Wildcard Characters with LIKE and ILIKE Module 04: GROUP BY Statements Overview of GROUP BY Aggregation function SUM() Aggregation MIN() and MAX() GROUP BY - One GROUP BY - Two HAVING Clause Module 05: JOINS Overview of JOINS Introduction to JOINS AS Statement table INNER Joins FULL Outer Join LEFT Outer JOIN RIGHT JOIN Union Module 06: Advanced SQL Commands / Statements Timestamps EXTRACT from timestamp Mathematical Functions String Functions SUBQUERY Module 07: Creating Database and Tables Basic of Database and Tables Data Types Primary key and Foreign key Create Table in SQL Script Insert Update Delete Alter Table Drop-Table NOT NULL Constraint UNIQUE Constraint Module 08: Databases and Tables Creating a Database backup 10a Overview of Databases and Tables 10c Restoring a Database CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The course can be helpful for anyone working in the SQL fields, whether self-employed or employed, regardless of their career level. Requirements You will not need any prior background or expertise to enrol in this course. Career path The vocation of SQL Skills Training moves very quickly but pays well. This position provides unparalleled satisfaction. This is your opportunity to learn more and start changing things. Query Language Developer Server Database Manager Python Developer Technical Consultant Project Implementation Manager Software Developer (SQL) Certificates Certificate of completion Digital certificate - £10

Delve into the fascinating realm of web application development with our comprehensive course, 'Web Applications for Specialisation on Development.' Tailored for aspiring web developers, this program offers an extensive curriculum covering everything from CSS intricacies to advanced PHP and MySQL techniques. Picture yourself mastering the art of web design and backend programming, a skillset highly sought after in today's digital landscape. The course sets off with a thorough introduction to CSS, paving the way for more advanced topics. As you progress, you'll journey through various levels of CSS expertise, from basic to expert, equipping you with the skills to create visually stunning and responsive websites. Transitioning into the backend, the course introduces PHP, a cornerstone in web application development. Learn to manipulate strings, utilise operators, and make decisive programming decisions. PHP's control flow statements, functions, and object-oriented programming are also covered in detail, offering you a robust understanding of server-side scripting. The latter part of the course focuses on MySQL, essential for database management and operations. By the end of this course, you'll have a comprehensive understanding of both front-end styling and backend functionality, preparing you for a thriving career in web development. Learning Outcomes Master CSS from basic to expert level for front-end web design. Gain a thorough understanding of PHP for effective server-side scripting. Learn MySQL for database creation, querying, and management. Develop skills in PHP and MySQL for building dynamic web applications. Acquire expertise in error handling, data validation, and security in web development. Why choose this Web Applications for Specialisation on Development course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Web Applications for Specialisation on Development course for? Aspiring web developers seeking comprehensive knowledge in CSS, PHP, and MySQL. IT professionals aiming to specialise in web application development. Computer science students wanting practical skills in web technologies. Front-end developers looking to expand their backend development skills. Anyone interested in building a career in web design and development. Career path Web Developer - £24,000 to £40,000 Front-End Developer - £26,000 to £42,000 Back-End Developer - £28,000 to £45,000 Full Stack Developer - £30,000 to £50,000 Database Administrator - £27,000 to £43,000 PHP Developer - £25,000 to £41,000 Prerequisites This Web Applications for Specialisation on Development does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Web Applications for Specialisation on Development 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8.