3926 Computing & IT courses in Syston delivered On Demand

Embark on a journey to master Python with our Diploma in Python Fundamentals course. From basic data types to advanced OOP, learn to code efficiently, handle files, and manage errors in Python. Ideal for beginners and those looking to solidify their programming skills.

The Certificate in Corporate Risk and Crisis Management is crucial in the modern world, offering comprehensive knowledge on risk management and crisis response. With increasing uncertainties in global markets, mastering risk management skills is vital for mitigating financial, operational, and reputational risks. The Risk Management course covers essential modules such as Risk Analysis, Financial Risks, and Crisis Management, equipping learners with the ability to handle crises efficiently. In the UK, expertise in risk management opens numerous job opportunities in various sectors, with roles such as Risk Manager or Crisis Response Manager. Salaries for these positions typically range from £40,000 to £70,000 annually, reflecting the high demand for these skills. The risk management sector is experiencing growth, with an estimated increase of 6% annually due to heightened awareness of risk-related challenges. Learning risk management enhances career prospects and provides a strategic advantage in safeguarding organizations against potential crises. With the increasing importance of risk management, professionals in this field are pivotal in ensuring organizational resilience and stability. Key Features This Corporate Risk Management Course includes: CPD Certified Corporate Risk Management Course Free Certificate from Reed CIQ Approved Corporate Risk Management Course Developed by Specialist Lifetime Access Course Curriculum Risk Management Module 01: Introduction To Risks And Risk Analysis Module 02: Process Of Risk Analysis And Management Module 03: Corporate Of Risk Management Module 04: Managing Financial Risks Module 05: Introduction To Crisis And Crisis Management Module 06: Crisis Response And Communication Module 07: Incidents Management And Emergency Response Plan Module 08: Crisis Management Team Module 09: Post Crisis Phase Learning Outcomes: Analyze corporate risks using structured methodologies for effective management strategies. Implement crisis response plans with clear communication strategies and protocols. Develop emergency response plans to mitigate incidents in corporate environments. Construct crisis management teams equipped to handle diverse crisis scenarios. Evaluate post-crisis phases for organisational learning and continuous improvement. Manage financial risks within the corporate risk management framework effectively. CPD 10 CPD hours / points Accredited by CPD Quality Standards Certificate on Corporate Risk And Crisis Management 2:21:59 1: Module 01: Introduction To Risks And Risk Analysis Preview 11:59 2: Module 02: Process Of Risk Analysis And Management 09:40 3: Module 03: Corporate Of Risk Management 10:38 4: Module 04: Managing Financial Risks 21:30 5: Module 05: Introduction To Crisis And Crisis Management 14:16 6: Module 06: Crisis Response And Communication 14:26 7: Module 07: Incidents Management And Emergency Response Plan 22:55 8: Module 08: Crisis Management Team 24:34 9: Module 09: Post Crisis Phase 10:01 10: CPD Certificate - Free 01:00 11: Leave A Review 01:00 Who is this course for? This Corporate Risk Management And Crisis Management course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of Corporate Risk Management And Crisis Management. Moreover, this course is ideal for: Corporate executives seeking advanced risk management skills. Risk analysts aiming to enhance crisis management competencies. Emergency response professionals transitioning to corporate environments. Finance professionals interested in corporate risk and crisis management. Business consultants looking to broaden their expertise in risk mitigation. Requirements There are no requirements needed to enrol into this Corporate Risk Management And Crisis Management course. We welcome individuals from all backgrounds and levels of experience to enrol into this Corporate Risk Management And Crisis Management course. Career path After finishing this Corporate Risk Management course you will have multiple job opportunities waiting for you. Some of the following Job sectors of Corporate Risk Management are: Risk Manager - £40K to 65K/year. Crisis Management Consultant - £35K to 60K/year. Financial Risk Analyst - £30K to 50K/year. Corporate Safety Manager - £45K to 70K/year. Emergency Response Coordinator - £30K to 55K/year Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Machine learning is a vital aspect of data science, and it is the fundamental building block of artificial intelligence. This course is designed to help you master the basics of machine learning by taking you through ten comprehensive modules. Learning outcomes: Understand the basic principles of machine learning and its significance in today's world. Learn how to use Minitab for data analysis and data cleaning. Understand how regression trees and classification trees work and how to apply them. Understand binary logistic regression and its applications. Understand data modelling and how to use different predictors. Learn how to evaluate and improve the performance of machine learning models. The Machine Learning Basics course is designed to help individuals develop a fundamental understanding of machine learning. In this course, you will learn about the basics of machine learning, including regression, predictors, data cleaning, and data models. Additionally, you will learn how to use Minitab for data analysis and how to apply binary logistic regression, regression trees, and classification trees. The course includes ten comprehensive modules that will help you develop the skills you need to become a machine learning expert. This course is for anyone who wants to learn the basics of machine learning, including students, data analysts, and business professionals. By the end of the course, you will have a deep understanding of machine learning principles, including how to apply machine learning algorithms to solve real-world problems. Certification Upon completion of the course, learners can obtain a certificate as proof of their achievement. You can receive a £4.99 PDF Certificate sent via email, a £9.99 Printed Hardcopy Certificate for delivery in the UK, or a £19.99 Printed Hardcopy Certificate for international delivery. Each option depends on individual preferences and locations. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Students who want to learn about machine learning. Data analysts who want to enhance their skills. Business professionals who want to understand machine learning. Anyone who wants to develop a fundamental understanding of machine learning. Career path Career paths related to this industry are: Data analyst: £20,000 - £50,000 per year Machine learning engineer: £30,000 - £90,000 per year Data scientist: £35,000 - £80,000 per year Business intelligence analyst: £25,000 - £55,000 per year Artificial intelligence (AI) specialist: £45,000 - £100,000 per year Software engineer: £25,000 - £70,000 per year

Scrum Transformation for Publicly Traded Companies Scrum for Publicly Traded Companies shares what the Scrum Inc. team has learned about maximizing investor returns with Scrum, valuations and acquisitions and spinoffs with scrum, and completing initiatives with high investor scrutiny. Our presenter, Joe Justice, will be focusing on examples from Tesla, 3M, and Toyota. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

Blending Concepts for Success Have you ever finished a Release Planning Meeting thinking everyone understood the features to be built but found out halfway through the third (3) sprint that was not the case? Clearly understood Stories is key to building a solid sprint. Blending Lean UX with Agile Scrum will provide usable techniques to enhance clarity so Agile teams can select stories they understand. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

Get the Most from Agile and Scrum When Working on Projects! Most of what is written about Scrum and Agile focusses on a context where an existing product is evolving. But what about developing new products from scratch? ...and what about difficult situations where there are many 'moving parts' that need to be synchronized?There are times when the basics of agile, and particularly Scrum, are not enough on their own to ensure the successful delivery of a complicated piece of work such as when dealing with a project.By combining PRINCE2® with agile, you can get all of the benefits of agile and Scrum, whilst at the same time harnessing the control and governance of one of the world's most well-known project management frameworks.Why not take a look at this presentation? You may be surprised by the result! This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

Scrum Transformation for Publicly Traded Companies Scrum for Publicly Traded Companies shares what the Scrum Inc. team has learned about maximizing investor returns with Scrum, valuations and acquisitions and spinoffs with scrum, and completing initiatives with high investor scrutiny. Our presenter, Joe Justice, will be focusing on examples from Tesla, 3M, and Toyota. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

Managing Successful Machine Learning Projects Machine learning projects are a different beast. You have to secure access to the required data, often from multiple siloed sources. You have to switch back and forth between research mode and execution mode. You have to delicately guide data exploration towards a well-defined machine learning objective. You have to align this machine learning objective with your business objectives. You have to ensure that any sensitive data is adequately protected. How do you tame this beast and lead your project to successful completion? In this presentation, Dr. Neeraj Kashyap will share some practical tips for succeeding at machine learning, gained from his years at Google and in healthcare. We will discuss the life cycles of healthy machine learning projects and unhealthy ones so that you can identify impending disasters and avert them before they get out of hand. Throughout the session, we will emphasize data privacy, because no amount of intelligence is worth compromising your users for.

The Agile PMO: Can It Really Exist? Does an Agile PMO really exist? Can it? How would it work? This session will answer these questions and bring together two seemingly opposing concepts. We'll go back to basics to understand the fundamental purpose of PMOs, and how they benefit projects and organizations. Once we recognize the overall mission and vision of an Agile PMO, we will design a PMO Charter that will show how it adds value. Finally, we'll discuss how to gain buy-in for such a critical function. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

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