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Microsoft Project Blue Belt® 2016: In-House Training This course introduces Project Server 2016 features that expedite scheduling projects and simplify managing tasks within an enterprise environment. Learn different aspects of Project Server and their benefits to varying roles in the enterprise, and gain hands-on experience and insights on best practices from SMEs around the world. This course introduces Project Server 2016 features that expedite scheduling projects and simplify managing tasks within an enterprise environment. Learn different aspects of Project Server and their benefits to varying roles in the enterprise, and gain hands-on experience and insights on best practices from SMEs around the world. Users in Project online will get the same benefits of this program. What you Will Learn You'll learn how to: Describe the Enterprise Project Management (EPM) environment Apply the basic project management principles of, initiating, planning, executing, monitoring and controlling, and closing your project schedules Discuss new features Explain PWA views project sites Meet deadlines and budget restrictions Keep the workloads of your resources within their available limits Explain tracking methods and manage task assignments Update the schedule Differentiate between updating tasks and timesheets Use standard reports, custom views, and visual reports for your projects Recognize the potential of the Business Intelligence features Getting Started with Microsoft® Project Server 2016 Describing the EPM context Discovering Project Web App Differentiating the users of PWA Working with Project Professional and PWA Initiating Projects New projects with Project Professional, SharePoint lists, Enterprise Projects Importing schedules and managing project owner and permissions Customize the ribbon with enterprise commands Planning Projects - Scope and Schedule Management Scheduling in PWA Using the Deliverables feature Developing components of the risk management plan and issues tracking Linking planning documents Planning Projects - Staffing Management Plan Building a project team Managing resource availability Reviewing the assignment cycle Managing resource engagements Resolving resource overallocation Executing, Monitoring and Controlling Baselines Working with timesheets Reporting administrative time Tracking methods (% work, actual work, single entry mode) Assignment progress and updates in PWA Task progress and updates in Project Professional and PWA Monitor and Control Projects - Measuring Performance and Reporting Progress Reviewing performance metrics and progress reports Using the preloaded reports at the Business Intelligence Center Considerations for defining custom reports Closing Projects Reviewing the closing processes and closing tasks to updates Supporting the closing process

PYTHON BOOTCAMP: This 12-week Python Data Analytics Data Boot Camp is designed to give you a complete skill set required by data analysts . You will be fully fluent and confident as a Python data analyst, with full understanding of Python Programming. From Data, databases, datasets, importing, cleaning, transforming, analysing to visualisation and creating awesome dashboards The course is a practical, instructor-lead program.

Learn how to create an automated trading bot using Python with this comprehensive course. Master Python basics, understand trading fundamentals, build and integrate the bot with a broker API, and run it effectively. Learning Outcomes: Gain proficiency in Python programming for trading purposes. Understand the fundamental concepts of trading and market dynamics. Build a structured trading bot using Python and Github version control. Integrate the bot with a broker API for real-time trading functionality. Successfully run and manage the automated trading bot for efficient execution. Why buy this Making Automated Trading Bot Using Python? 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 Making Automated Trading Bot Using Python there will be a written assignment test which you can take either during or at the end of the course. 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 Making Automated Trading Bot Using Python course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Making Automated Trading Bot Using Python does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Making Automated Trading Bot Using Python 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 As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Making Automated Trading Bot Using Python is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Introduction About the course structure 00:05:00 Why working is important? 00:04:00 The free and perfect tools 00:07:00 Our editor: Atom 00:04:00 Version control: Github 00:07:00 Python download (Mac) 00:05:00 Python download (Windows) 00:02:00 Section 02: Python Basics for Trading Introduction 00:03:00 Python Libraries 00:05:00 Iterators: for 00:08:00 Iterators: while 00:08:00 Conditionals: if & else 00:10:00 Logic gates: and & or 00:09:00 Error handling: try & except 00:09:00 Functions and calls to libraries 00:13:00 Objects and classes (1) 00:10:00 Objects and classes (2) 00:07:00 Debugging the code 00:12:00 Closing and wrap up 00:01:00 Section 03: Trading Basics Introduction 00:03:00 Fundamental vs Technical Analysis 00:04:00 Stocks vs CFDs 00:05:00 Long and Short positions 00:04:00 Takeprofit and Stoploss 00:03:00 Setting a real Stoploss 00:08:00 Limit and Market orders 00:10:00 Don't forget the spread 00:04:00 Stock data visualisation: candles 00:08:00 Technical Indicators: about 00:05:00 Exponential Moving Average 00:08:00 EMA use and interpretation 00:06:00 Relative Strength Index 00:07:00 Stochastic Oscillator 00:09:00 Closing and wrap up 00:01:00 Section 04: Bot Code General Structure Introduction 00:02:00 Overview 00:08:00 The Entry Strategy 00:10:00 About Tradingview 00:12:00 When to enter (1) 00:08:00 When to enter (2) 00:08:00 Open and hold a position 00:12:00 Closing a position 00:08:00 Review (1) 00:06:00 Review (2) 00:13:00 Closing 00:02:00 Section 05: Github Basics Introduction 00:04:00 Download and install Github 00:01:00 Create a repo 00:10:00 Working with branches 00:13:00 Section 06: Building Your Bot Introduction 00:05:00 Create the first bot file 00:07:00 Building the bot scheme 00:08:00 Complete your code scheme (1) 00:11:00 Complete your code scheme (2) 00:11:00 Complete your code scheme (3) 00:18:00 A logger to remember (1) 00:14:00 A logger to remember (2) 00:14:00 Organising your code 00:07:00 Main function: run bot 00:23:00 Link the bot and the library 00:08:00 Traderlib control functions (1) 00:12:00 Traderlib control functions (2) 00:13:00 Check if tradable function 00:06:00 Set stoploss function 00:10:00 Set takeprofit function 00:04:00 Load historical data function 00:01:00 Get open positions function 00:04:00 Submit and cancel order functions 00:04:00 Check positions function 00:09:00 The Tulipy libraries 00:07:00 Importing all the libraries 00:03:00 First filter: get general trend 00:19:00 Second filter: get instant trend 00:14:00 Third filter: RSI 00:08:00 Fourth filter: Stochastic Oscillator 00:14:00 Enter position (1) 00:13:00 Enter position (2) 00:11:00 Enter position (3) 00:15:00 Enter position (4) 00:08:00 Last check before opening 00:13:00 Exit position and get out 00:10:00 Linking everything (1) 00:12:00 Linking everything (2) 00:12:00 Linking everything (3) 00:15:00 Fixing a mistake: going Short 00:05:00 Handling all your variables 00:18:00 Closing and wrap up 00:01:00 Run function scheme clarification and rebuild 00:13:00 Section 07: Integrating the Broker API Introduction 00:03:00 The Alpaca Python API Wrapper 00:07:00 Initialising the REST API 00:09:00 Running the program (crash!) 00:06:00 Integration with check account (1) 00:08:00 Integration with check account (2) 00:05:00 Clean open orders function 00:10:00 Importing the trading library 00:04:00 Running the main 00:05:00 Check position function 00:09:00 Check if asset exists function 00:08:00 Fetching barset data (theory) 00:07:00 Fetching barset data (practice) 00:12:00 Updating the code for the Alpaca API V2 (explanation) 00:03:00 Updating the code for the Alpaca API V2 (implementation) 00:08:00 Organizing data with Pandas 00:06:00 Get general trend function (1) 00:08:00 Reframing the timeframe with Pandas 00:23:00 Get general trend function (2) 00:13:00 Get instant trend function 00:08:00 Get RSI function 00:06:00 Get Stochastic function 00:10:00 Get current price function 00:05:00 Finishing get shares amount 00:09:00 Opening a position (1) 00:12:00 Opening a position (2) 00:09:00 Check the open position 00:07:00 Cancelling the order (1) 00:20:00 Cancelling the order (2) 00:08:00 Making sure we cancelled 00:03:00 Get average entry price function 00:10:00 Fixing bugs when getting price 00:18:00 Check Stochastic crossing 00:02:00 Holding an open position 00:11:00 Submitting the exit order 00:08:00 Closing position and out (1) 00:08:00 Closing position and out (2) 00:10:00 Closing and wrap up 00:01:00 Section 08: Running the Trading Bot Introduction 00:03:00 Filtering asset by price and volume 00:07:00 Get the bot ready to trade 00:04:00 Running the Trading Bot with AAPL 00:09:00 A real open position 00:08:00 Debugging and bug fixing 00:12:00 Fixing one (last) bug 00:02:00 Running the bot with TSLA 00:10:00 Discussing EMA implementations 00:12:00 Closing and wrap up 00:02:00

This comprehensive course on HashiCorp Vault will make you an expert in deploying, configuring, and managing all key Vault services. It covers all objectives for passing the HashiCorp Certified: Vault Associate certification exam. Learn the latest HashiCorp concepts and master the core components to become a HashiCorp Vault expert.

Unconscious biases are social stereotypes about certain groups of people that individuals form outside their own conscious awareness. Course Category Relationships Racial bias Description Unconscious biases are social stereotypes about certain groups of people that individuals form outside their own conscious awareness. Everyone holds unconscious beliefs about various social and identity groups and these biases stem from one’s tendency to organise social worlds by categorising. So join us on a reflective, engaging day where we tackle real life issues in depth and create action plans for future practice. Learning Objectives Increased confidence and understanding regarding Unconscious Bias Action planning New skills and processes to strengthen the inclusion of diverse groups Opportunity to reflect and understand more deeply on what might be happening due to unconscious bias’ Who Is It For? Any professional, carer or parent Course Content We will explore what is known about:Restorative JusticeDiversityAttitudes and ValuesProfessional dutiesReflective practice

Duration 2 Days 12 CPD hours This course is intended for This class has something for everything, from beginners who wish to customise their data entry forms in SharePoint right up to advanced users who need to use advanced formulas to deliver more bespoke actions to their apps. Overview After taking this course, students will be able to: - Understand when to use PowerApp. - Describe the components of PowerApps and their correct use. - Create PowerApps from existing data sources. - Brand PowerApps. - Customize PowerApps beyond just using the automated wizards. - Connect to a range of data sources from Excel to Azure SQL. - Understand the difference between canvas apps and model-driven apps. - Integrate PowerApps with other Office 365 systems ? including Teams and SharePoint Online. - Administer and Maintain PowerApps Students will be taught how to design, test and publish new apps that work with a variety of data sources. We will take users through a selection of well-crafted lessons to help them build new applications for their business. 1 - AN INTRODUCTION TO POWERAPPS What is PowerApps? The benefits of apps How to get PowerApps Canvas Apps and Model-Driven Apps License Options and Costs Discover PowerApps with Templates Lab 1: Introduction to PowerApps 2 - GETTING STARTED WITH POWERAPPS Building a new app from a data source Add, edit and remove controls Intro to Formulas Testing an app App Settings Publish and Share Apps Version History and Restore PowerApps Mobile App Lab 1: Getting Started 3 - BRANDING AND MEDIA Less is more Duplicate Screens Fonts Screen Colours and Matching Colours Screen Backgrounds Buttons and Icons Hide on Timer Size and Alignment by reference Show and Hide on Timer Lab 1: Branding and Media 4 - POWERAPPS CONTROLS Text Controls for Data Entry and Display Controls ? Drop downs, combo box, date picker, radio button and more Forms ? Add and edit data in underlying data sources quickly Charts ? present information in pie, line and bar charts Lab 1: Build Apps from Blank 5 - DATA SOURCES AND LOGIC Data Storage and Services How do I decide which database to use? Connect to on-premises data - Gateway What is Delegation? Specific Data Examples Displaying Data Lab 1: Data Source and Logic 6 - MODEL-DRIVEN APPS What is a model-driven app? Where will my data be stored? How do create a model-driven app Canvas vs model-driven summary Lab 1: Model-Driven App 7 - POWERAPP INTEGRATION Embed PowerApps in Teams Embed PowerApps in SharePoint Online Start a Flow from a PowerApp Lab 1: PowerApp Integration 8 - ADMINISTRATION AND MAINTENANCE OF POWERAPPS Identify which users have been using PowerApps Reuse an app in another location (move from testing or development to production) Review app usage Prevent a user from using PowerApps Manage environments Lab 1: Administration and Maintenance Additional course details: Nexus Humans 55265 Microsoft PowerApps training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the 55265 Microsoft PowerApps course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Do you need a qualification in data protection or are you thinking about learning more about data protection for your organisation? The BCS Practitioner Certificate in Data Protection designed for those with some data protection responsibilities in an organisation and wish to achieve and demonstrate a broad understanding of the law and progresses from what is taught in the BCS Foundation Certificate in Data Protection.

This course is an excellent resource to learn network programming using Python. With the help of practical examples, you will learn how to automate networks with Telnet, Secure Shell (SSH), Paramiko, Netmiko, and Network Automation and Programmability Abstraction Layer with Multivendor support (NAPALM).

This qualification from our partner organisation CLTI will enable you to develop your knowledge of fund operations, across both accounting and administration and creates a training and education path for fund administrators where there have traditionally been limited training opportunities to evidence knowledge and support career development. Demonstrate a detailed understanding of the functions of key parties in a fund and how they meet the needs of stakeholders. Understand the lifecycle of different fund structures, including the processes involved in their closure, winding down and/or liquidation. Demonstrate awareness of the topical issues surrounding alternative investment funds, fund of funds and debt funds. Present a detailed knowledge of fund regulation and be able to interpret and apply Principal Documents, Scheme Particulars and investment restrictions. Understand the fundamentals of fund accounting and how to account for specific fund transactions. Carry out a range of advanced calculations in relation to a fund, including NAV, GAV, performance fees, and entry and exit charges. Calculate earnings per share and the total expense ratio, and use ratios to analyse a set of financial statements. Determine the impact of taxation on different fund structures and be able to carry out relevant tax calculations. This qualification covers the following topics: Fund structures, strategies and regulation Advanced find accounting and analysis

We are data protection specialists and this is our flagship training programme for Data Protection Officers, Data Protection Managers, Compliance Managers or anyone with a responsibility for Data Protection. The Data Protection (GDPR) Practitioner Certificate is an internationally recognised qualification, endorsed by TQUK, which is regulated by Ofqual, a UK Government department. It equips current and aspiring data protection officers and data protection managers with knowledge and skills to undertake data protection compliance activities throughout an organisation. It is a valuable course for anybody with data protection compliance responsibilities. The course takes account of the latest developments in this fast moving subject, together with the latest guidance from the ICO and includes real life, practical examples throughout. There are two versions of the course (with the same content and same trainer). The courses priced at £1200 are run by Computer Law Training and lead to the TQUK endorsed certificate. The courses priced at £1440+VAT are run in collaboration with, and are booked through, the Law Society of Scotland and, on successful completion, lead to the TQUK endorsed certificate and a 'Certified Specialist' certification from the Law Society of Scotland. Suitability - Who should attend? The training programme for Data Protection Officers, Data Protection Managers, Compliance Managers, Corporate Governance Managers or anyone with a responsibility for Data Protection. The Data Protection (GDPR) Practitioner Certificate is ideal for you if you: Are already undertaking the role of Data Protection Officer Expect to be filling the post of Data Protection Officer in their current employment Are looking for employment as a Data Protection Officer Have, or expect to have, data protection responsibilities in their organisation Need to advise others on data protection compliance Wish to be able to demonstrate verifiable practical skills and learning in this area. It is suitable for those working in: the public sector, the private sector and the third sector. In either case, it will teach participants essential data protection skills and in depth knowledge. Outcome / Qualification etc. Understand the importance of data protection legislation and compliance in the UK and beyond. Interpret key terminology of the UK GDPR and Data Protection Act 2018 (DPA) in a practical context Understand the key obligations of the UK GDPR and DPA Create appropriate policies and procedures necessary for data protection compliance Carry out a data protection audit and gap analysis Develop an action plan to address a data protection gap analysis Respond appropriately to data protection issues arising in an organisation Carry out the duties of a data protection officer Undertake accountability and risk analysis activities Training Course Content Day 1 Data Protection – history and background GDPR Overview What, really, is personal data Purposes & Legal Bases Day 2 Consent Special Categories of Personal Data Data Subject Rights Transparency Requirements Data Processors and Controllers Information Security Obligations Breach Reporting and Recording Day 3 Restricted (International) Transfers Cloud Services Accountability The Personal Data Audit & Record of Processing The “Accountability Portfolio” Data Protection by Design & Default Data Protection Impact Assessments Privacy Enhancing Technologies Data Protection Officers Direct Marketing & Cookies Day 4 Data Protection Act 2018 HR Issues Risk Frameworks Data Protection Governance Day 5 Data Protection Audit Gap Analysis Action Plan Implementation The ICO and Enforcement Brexit and the future (crystal ball!) The European Data Protection Board (EDPB) Questions Course delivery details The course is delivered on Zoom. It lasts 5 days over 3 weeks, 9.30-16.30. The advertised start date is usually a Tuesday which is the first day of the course. The course normally continues on the Thursday of that week, Tuesday and Thursday the following week and one day in the third week: 24, 26, 31 January & 2, 7 February 2023 The one-hour test to obtain the certificate is online by arrangement in the week or two following the course. The trainer for the course is Tim Musson, who has a Master of Laws degree in IT and Telecoms Law, is a Certified Information Privacy Professional (CIPP/E) and a Certified Information Privacy Technologist (CIPT).