An intensive group coaching programme for qualified and certified coaches who want to add group coaching as an offer in their practice.
Assuring Quality Through Acceptance Testing: Virtual In-House Training It is also the business analyst's responsibility to confirm that the resulting solution developed by IT does, in fact, solve the defined problem. This is done first through testing, especially acceptance testing, and then through monitoring of the installed solution in the user community. It is the business analyst's job to define the business problem to be solved by IT. It is also the business analyst's responsibility to confirm that the resulting solution developed by IT does, in fact, solve the defined problem. This is done first through testing, especially acceptance testing, and then through monitoring of the installed solution in the user community. The business analyst is not only concerned with the testing itself, but also with the management and monitoring of the users doing the acceptance testing, and recording, analyzing, and evaluating the results. What you will Learn Upon completion, participants will be able to: Create a set of acceptance test cases Manage and monitor an acceptance test stage where users perform the testing Work with the development team in the systems testing stage Assess the solution once it is in the business environment Foundation Concepts The role of the business analyst An introduction to the BABOK® Guide BA roles and relationships through the project life cycle Introduction to assuring software quality through acceptance testing The Scope of IT Testing Overview of testing stages The testing process Testing documentation Pre-Acceptance Testing The BA's role in testing Early development testing stages (unit and integration) Late development testing stage (system) The Acceptance Test Stage - Part I (Planning, Design, and Development) Overview of user acceptance testing Acceptance test planning Designing user acceptance tests Developing individual user acceptance test cases Building effective user acceptance test scenarios The Acceptance Test Stage - Part II (Execution and Reporting) Operating guidelines Execution Reporting Post-Acceptance Testing Overview Project implementation Project transition (project closure) Production through retirement Testing Commercial Off-the-Shelf (COTS) Software Overview Selecting the software Implementing the software Summary What did we learn and how can we implement this in our work environments?
Critical Thinking and Creative Problem Solving (Virtual) Two critical skillsets for the future of work are critical thinking and creative problem solving. These modes of working and thinking intersect and overlap; both are necessary and both can be taught. Having the ability to exercise creativity while at the same time applying structure and discipline to the thinking process is a key competency in the twenty-first century workplace. This course explores the interplay between critical and creative thinking, and the necessity of each to effective problem solving and decision making. Participants will learn a variety of techniques to apply critical thinking to real-life scenarios. They will experiment with different problem-solving approaches and will learn about cognitive influences on our decisions and choices. The course delves into the business value of creativity and involves participants in actively integrating criticality, creativity, and problem solving. What you will Learn At the end of this program, you will be able to: Explain basic concepts of problem solving Infer types of cognitive biases that impact decision making Utilize types of root cause analysis Differentiate among obstacles to sound decision making Apply a variety of problem-solving approaches / processes to existing challenges Evaluate alternative solution methods using various techniques Analyze real world problem scenarios to determine the lateral thinking type needed to address them Getting Started Foundation Concepts Definitions Thinking modes and cognitive bias Basic problem-solving framework Problem Definition and Solution Generation Root cause analysis Basic problem-solving obstacles Generating alternative solutions Evaluating Alternatives Critical thinking guidelines Obstacles to sound decision making Tools for evaluating alternatives Exploring Lateral Thinking Problem-solving challenge Workplace application Summary and Next Steps
Python Unittest Course Summary. Testing plays a major role in software development. This course will explain Python Unit Testing using the unittest built-in module. We'll cover issues before going to the production itself and the basics of testing in Python. Location: Instructor-led, Online. Our Style: Hands-on, Practical Course. Group Size: Max 4 people per group. Qualification: PCWorkshops Unittest Certification Duration: 1-Day, 10am-5pm Unittest topics UnitTest Framework - Home UnitTest Framework - Overview UnitTest - Framework UnitTest - API UnitTest - Assertion UnitTest - Test Discovery UnitTest - Skip Test UnitTest - Exceptions Test UnitTest - Time Test UnitTest - Unittest2 UnitTest - Signal Handling UnitTest - Doctest UnitTest - Doctest API UnitTest - Py.test Module Nose Testing - Framework Nose Testing - Tools Included with Python Unittest Course Python Unittest Certificate on completion Python Unittest Videos Python Unittest Notes Python Unittest Examples Practical Python Unittest exercises
Conflict Resolution Skills: In-House Training Many organizations have assumed that workplace conflict is always destructive. So, they have often believed that conflict is best dealt with by managers or even via policies and procedures. After all, conflict creates workplace stress and leads to many performance problems, generating very real organizational costs! However, savvy organizations have embraced the fact that when conflict is understood and harnessed, it can be leveraged to add value to teams and even enhance performance. With the right knowledge, skills, training, and practice, conflict can be productive and make organizations better! In this highly interactive course, learners will discover the connection between individual conflict response and team-empowering conflict resolution skills. Participants will explore conflict's visceral dynamics and the nuanced behaviors we individually engage in to communicate and respond to conflict. Learners will apply techniques for transforming unproductive conflict responses into productive ones. Additionally, learners will use a systematic method that prepares them to objectively dissect real-world conflict, while practicing many strategies for resolving it. They will also develop proactive conflict approach plans, which they can transfer back to their own workplaces. What you will Learn At the end of this program, you will be able to: Recognize the organizational costs of conflict Explain our physical and mental responses to conflict Communicate proactively and effectively with different types of people during conflict Replace unproductive conflict responses with productive ones Use the Conflict Resolution Diagram (CRD) process and conflict resolution approaches Relate team stages of development to shifts in conflict Develop a proactive conflict approach for your organization Create a conflict resolution plan for a real-world scenario Getting Started Introductions and social agreements Course goal and objectives Opening activities Conflict Facilitation Readiness Conflict responses and perceptions Conflict basics Conflict and organizations Dynamics of conflict Conflict Styles and Communication A look at the color energies model Conflict through the color energies and DiSC® lens Communication with opposite color energies Individual Response to Conflict The anatomy of conflict Recognizing unproductive conflict responses 4 steps to productive conflict Choosing productive conflict responses Team Performance and Conflict High-performing team relationships Conflict and project team performance Conflict Resolution Diagram (CRD) and process Conflict Facilitation - Preparation Recognizing context and stakeholder needs Using team conflict resolution approaches Preparing for Crucial Conversations® Conflict Facilitation - Clarity Exposing assumptions and biases Defining the conflict and using the CRD Conflict Facilitation - Action Proactive conflict management Conflict facilitation practice Summary and Next Steps Review Personal action plans
Emotional Intelligence (Virtual) Emotional Intelligence is a set of emotional and social skills that collectively establish how well we: Perceive and express ourselves Develop and maintain social relationships Cope with challenges Use emotional information in an effective and meaningful way It is a skill set that transfers across all categories of relationships. It is also a predictor of success - both in life and at work. This highly-interactive course delivers a practical approach to developing, improving, and sustaining effective and mutually beneficial relationships. The design of the course involves individual reflection and paired activities, interwoven with small and large group interactions. The EQ-i 2.0® assessment reports will be debriefed over the course of the two days. In addition, participants will delve into their personal strengths and blind spots, and will explore topics including: the neuroscience of emotion, the connection between empathy and performance, and how communication styles impact our perceptions of self and other. Role-play activities give participants the opportunity to try out new behaviors and techniques. The program includes: A personal behavioral profile, the results of which you will bring to your training 2-day highly interactive workshop and experiential learning Optional professional coaching activities initiated in class that can continue over the four months after class ends What you will Learn Recognize your interpersonal strengths and potential blind spots regarding Emotional Intelligence Identify the five domains within the EQ-i 2.0 assessment model Summarize what neuroscience research has discovered about emotions and actions Recognize ways that human beings are physiologically impacted by stress Articulate ways to develop and maintain strong working relationships Describe how emotional intelligence translates into high performance Make use of the EI model and associated competencies Employ strategies for enhancing leadership through Emotional Intelligence Getting Started Foundation Concepts The biology of emotion Why Emotional Intelligence matters The impact of EI on performance The EQ-I 2.0 Model Overview of the EQ-i 2.0 framework Exploring your report Balancing your EI domains Self: Awareness and Sensitivity Self-awareness and empathy Perception vs. reality Acting by choice, not impulse Other: Communication and Relationship-Building Elements of effective communication Communication styles Communication techniques Neuroscience and Behavioral Change Insights from social neuroscience Making a change Summary and Next Steps
Program Management Skills: Virtual In-House Training Program managers coordinate and give oversight to the efforts of marketing groups, project teams, product delivery, maintenance and support, operations and staff from various functional groups, including suppliers, business partners, and other external bodies. The goal is to ensure that proposed business transformation, through the delivery of complex products and processes, is implemented to realize the organization's strategic benefits and objectives, for which the program was selected. The goals of this course are twofold: To provide participants with key program management principles and techniques, recognized as best practices, to enable more effective program management; and to leverage core elements of the program management life cycle, processes, tools and techniques, to enable program management effectiveness. The participant will learn and apply the principles of program management through discussions, activities, and case study exercises. What You Will Learn At the end of this workshop, you will be able to: Maximize the transformational impact of a program according to the business needs Explain management principles and techniques and apply them within a program context Implement program governance and organization that will produce expected benefits Plan for and manage benefit realization, risks, issues, and quality Manage component projects' interdependencies that are linked to both program and strategic objectives Engage program stakeholders effectively. Improve communication and action planning effectiveness for programs in organizations Getting Started Introductions Course structure Course goals and objectives Foundation Concepts Fundamental definitions and concepts Program challenges and benefits Program best practices and success criterion Stakeholder management Governance: program management office and program boards Standard for Program Management overview Vision, Leadership, and the Business Case What is vision, why, and how? Leadership vs. Management Program business case Program Organization and Governance Program organization Program governance Program board roles and responsibilities Benefits Management Benefits explored Benefits management Benefits realization Program Management Planning Program management plan Program blueprint and roadmap Program component dossier Program tranches Program estimating Program scheduling Program Monitoring and Controlling Program Control - An Overview Program Monitoring and Controlling Monitoring and Controlling Transition Program Risk and Issue Management Risk and issue management overview Program risk management Program issue management Program Quality Management Program quality management overview Program quality management principles Program Stakeholder Management Stakeholder engagement overview Stakeholder engagement planning EI, trust, communication and stakeholder engagement Program Closure and Benefits Sustainment Program closure overview Closing the program Program benefits sustainment Summary What did we learn, and how can we implement this in our work environments?
Complete Python training course description Python is an agile, robust, expressive, fully objectoriented, extensible, and scalable programming language. It combines the power of compiled languages with the simplicity and rapid development of scripting languages. This course covers Python from the very basics of 'hello world!' through to object oriented programming and advanced topics such as multi threading. Hands on follows all the major sections in order to reinforce the theory. What will you learn Read Python programs. Write Python programs. Debug Python programs. Use Python's objects and memory model as well as its OOP features. Complete Python programming training course details Who will benefit: Anyone wishing to learn Python. Prerequisites: None. Duration 5 days Complete Python programming training course contents Welcome to Python: What is Python? Origins, features. Downloading and installing Python, Python manuals, comparing Python, other implementations. Getting started: Program output, the print statement, "hello world!", Program input, raw_input(), comments, operators, variables and assignment, numbers, strings, lists and tuples, dictionaries, indentation, if statement, while Loop, for loop. range(), list comprehensions. Files, open() and file() built-in functions. Errors and exceptions. Functions, Classes, Modules, useful functions. Python basics: Statements and syntax, variable assignment, identifiers, basic style guidelines, memory management, First Python programs, Related modules/developer tools. Python Objects: Other built-in types, Internal Types, Standard type operators, Standard type built-in functions, Categorizing standard types, Unsupported types. Numbers: Integers, Double precision floating point numbers, Complex numbers, Operators, Built-in and factory functions, Other numeric types. Sequences: strings, lists, and tuples: Sequences, Strings, Strings and operators, String-only operators, Built-in functions, String built-in methods, Special features of strings, Unicode, Summary of string highlights, Lists, Operators, Built-in functions, List type built-in methods, Special features of lists, Tuples, Tuple operators and built-in functions, Tuples special features, Copying Python objects and shallow and deep copies. Mapping and set types: Mapping Type: dictionaries and operators, Mapping type built-in and factory functions, Mapping type built-in methods, Dictionary keys, Set types, Set type operators, Built-in functions, Set type built-in methods. Conditionals and loops: If, else and elif statements, Conditional expressions, while, for, break, continue and pass statements, else statement . . . take two, Iterators and iter(), List comprehensions, Generator expressions. Files and input/output: File objects, File built-in functions [open() and file()], File built-in methods and attributes, Standard files, Command-line arguments, File system, File execution, Persistent storage modules. Errors and exceptions: What are exceptions? Detecting and handling exceptions, Context management, Exceptions as strings, Raising exceptions, Assertions, Standard exceptions, Creating Exceptions, Why exceptions, Exceptions and the sys module. Functions: Calling, creating and passing functions, formal arguments, variable-length arguments, functional programming, Variable scope, recursion, generators. Modules: Modules and files, Namespaces, Importing modules, Module import features, Module built-in functions, Packages, Other features of modules. Object-Oriented Programming (OOP): Classes, Class attributes, Instances, Instance attributes, Binding and method invocation, Static methods and class methods, Composition, Sub-classing and derivation, Inheritance, Built-in functions for classes, and other objects, Customizing classes with special methods, Privacy, Delegation, Advanced features of new-style classes (Python 2.2+), Related modules and documentation. Execution environment: Callable and code Objects, Executable object statements and built-in functions, Executing other programs. 'Restricted' and 'Terminating' execution, operating system interface. Regular expressions: Special symbols and characters, REs and Python, Regular expressions example. Network programming: Sockets: communication endpoints, Network programming in Python, SocketServer module, Twisted framework introduction. Internet client programming: What are internet clients? Transferring files, Network news, E-mail. Multithreaded Programming: Threads and processes Python, threads, and the global interpreter lock, The thread and threading Modules. GUI programming: Tkinter and Python programming, Tkinter Examples, Brief tour of other GUIs. Web programming: Web surfing with Python: creating simple web clients, Advanced Web clients, CGI: helping web servers process client data, Building CGI applications, Using Unicode with CGI, Advanced CGI, Web (HTTP) Servers. Database programming: Python database application programmer's interface (DB-API), ORMs. Miscellaneous Extending Python by writing extensions, Web Services, programming MS Office with Win32 COM, Python and Java programming with Jython.
Estimating for Business Analysts: In-House Training A business analyst does not have authority to estimate the project and will not be held responsible for the project staying within the proposed budget; however, the business analyst does participate in various planning exercises with the project team. Many times the business analyst is on his or her own, required to provide estimates of how long it will take to perform their tasks. This course acquaints you with the basics of estimating from the point of view of the business analyst, emphasizing time estimates for the work. It also covers some of the product cost estimates that a business analyst may have to provide when the business is performing a cost/benefit analysis for the project. What you will Learn You'll learn how to: Translate business needs and requirements into estimates Estimate durations using a variety of techniques Negotiate differences in estimates Getting Started Introductions Course structure Course goals and objectives Foundation Concepts The importance of estimating to a business analyst The good and bad of estimating The project context The meaning of good estimating Focuses of estimating Characteristics of a good estimate Estimating the Time Requirements Applicable BABOK® Knowledge Areas Business Analysis Planning and Monitoring Elicitation and Collaboration Estimating the elicitation Information Gathering Plan Relative times for elicitation activities Planning and estimating the business analysis approach and activities Planning the business analysis activities Impact of process Estimating the Product Estimating the value of the product Business analyst's role Defining and determining value Function and use case points Agile estimating Planning Poker Other agile estimating techniques Negotiating estimates Negotiation techniques Negotiation approaches Summary What did we learn, and how can we implement this in our work environment?
Estimating for Business Analysts: Virtual In-House Training A business analyst does not have authority to estimate the project and will not be held responsible for the project staying within the proposed budget; however, the business analyst does participate in various planning exercises with the project team. Many times the business analyst is on his or her own, required to provide estimates of how long it will take to perform their tasks. This course acquaints you with the basics of estimating from the point of view of the business analyst, emphasizing time estimates for the work. It also covers some of the product cost estimates that a business analyst may have to provide when the business is performing a cost/benefit analysis for the project. What you will Learn You'll learn how to: Translate business needs and requirements into estimates Estimate durations using a variety of techniques Negotiate differences in estimates Getting Started Introductions Course structure Course goals and objectives Foundation Concepts The importance of estimating to a business analyst The good and bad of estimating The project context The meaning of good estimating Focuses of estimating Characteristics of a good estimate Estimating the Time Requirements Applicable BABOK® Knowledge Areas Business Analysis Planning and Monitoring Elicitation and Collaboration Estimating the elicitation Information Gathering Plan Relative times for elicitation activities Planning and estimating the business analysis approach and activities Planning the business analysis activities Impact of process Estimating the Product Estimating the value of the product Business analyst's role Defining and determining value Function and use case points Agile estimating Planning Poker Other agile estimating techniques Negotiating estimates Negotiation techniques Negotiation approaches Summary What did we learn, and how can we implement this in our work environment?