129 Software Development courses in Whetstone

Assuring Quality Through Acceptance Testing 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?

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The fundamental tool to identify waste, create effective process flow, reduce process cycle times, and implement process improvement.

Python Basics: Course Description Excellent for beginners, practical, in small groups of max 4 people, 1 Day Online Instructor-led. You could contact us for your prefereed date. Session 1: Python Data Types and Variables: Primitive types; Characters & Strings; Boolean; Working with variables and its scope; Conversion and casting types in Python. Operators and Expressions: Introduction of operators; Arithmetic operators; Relational operators; Assignment operator; Logical operators; Increment and decrement operators.. Exercise: Calculate Movie Tickets for a Party, Are there enough seats in the cinema? Decision Making & Loops If statement; If - else statement; If- elif - else statement; Nested if - else; Exercise: Calculate the travel fee to deliver goods The while, For loop Jump statements: break, continue; Nesting loops. Exercise: Enter a password, if incorrect 3 times, you are blocked. Session 2: Data Structures Lists. Tuples. Exercise: Hangman Game Exercise: Get a word for the game from a Json File, store the high score in a Dictionary file Session 3: Files and exceptions Exception Handling, Exception types; Using try and Except. Files, streams: Open, Traverse, Read and Create Files: Csv, txt and Json Files. API: Connecting to API’s. Session 4: OOP Creating and using custom Functions. Using parameters and return values. Creating a Class; Creating an Object; Using an Object; Adding Instance variables; Class Constructors; Parameterized Constructors. Inheritance. Override. Session 5: Pandas Dataframe Basics Getting data into a dataframe: Dict to Dataframe, Dataframe to Dict. Excel To Dict, Dict to Excel , working with Excel data, multiple Excel sheets. Getting information about the dataframe, Filter, sort and query a Dataframes, Slicing Dataframes, Duplicate values,Working with null-values, Sampling. Exercise: Query the top 1000 grossing movies of the last century Session 6: Built in Functions: String, Math, Random Python built-in functions: Strings functions. Maths functions. Random Functions. Exercise: Find information in prose, to get the sentiment of the prose. Exercise: Get a word for the game from a txt File Exercise: Win the lottery Included: PCWorkshops's Python Programming Basics Certification Course notes, exercises and code examples Revision session after the course Refund Policy No Refunds

This beginner's WordPress course will enable you to create your own website using the world's favourite content management system. The user friendly web based software enables you to quickly and easily get your website up and running. This one day course will teach you how to write, edit and manage your WordPress site and also to use image, audio and video content. Whether you are seeking to learn WordPress for your own personal posts or for business and marketing purposes this course will get you up and running right away.

Live online course with study materials and certificate of completion included This beginner's WordPress course will enable you to create your own website using the world's favourite content management system. The user friendly web based software enables you to quickly and easily get your website up and running. This one day course will teach you how to write, edit and manage your WordPress site and also to use image, audio and video content. Whether you are seeking to learn WordPress for your own personal posts or for business and marketing purposes this course will get you up and running right away. Resources Introduction to WordPress Description Completing this course will enable you to do the following and more: Become familiar with the WordPress CMS Install and configure WordPress Manage WordPress themes Understand the WP interface and the dashboard Add users and assigning different user roles Set-up reading options Create, add, update and assign menus Understand Posts and Pages Edit and format content Use the Gutenberg block editor Create and manage your homepage Carry out customisations Understand SEO optimisation For the full course content please download the course information pdf listed above. Who is this course for? This workshop is suitable for anyone with basic PC or Mac skills who wishes to learn how to create and manage websites with WordPress. No previous knowledge or experience of WordPress is necessary. Requirements Attendees should have basic PC or Mac skills. You will need a broadband internet connection to participate in this live online course. Certificates Certificate of completion Digital certificate - Included

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This Python Machine Learning online instructor led course is an excellent introduction to popular machine learning algorithms. Python Machine Learning 2-day Course Prerequisites: Basic knowledge of Python coding is a pre-requisite. Who Should Attend? This course is an overview of machine learning and machine learning algorithms in Python SciKitLearn. Practical: We cover the below listed algorithms, which is only a small collection of what is available. However, it will give you a good understanding, to plan your Machine Learning project We create, experiment and run machine learning sample code to implement a short selected but representative list of available the algorithms. Course Outline: Supervised Machine Learning: Classification Algorithms: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine Regression Algorithms: Linear, Polynomial Unsupervised Machine Learning: Clustering Algorithms: K-means clustering, Hierarchical Clustering Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA) Association Machine Learning Algorithms: Apriori, Euclat Other machine learning Algorithms: Ensemble Methods ( Stacking, bagging, boosting ) Algorithms: Random Forest, Gradient Boosting Reinforcement learning Algorithms: Q-Learning Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN) Data Exploration and Preprocessing: The first part of a Machine Learning project understands the data and the problem at hand. Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy. What is included in this Python Machine Learning: Python Machine Learning Certificate on completion Python Machine Learning notes Practical Python Machine Learning exercises and code examples After the course, 1 free, online session for questions or revision Python Machine Learning. Max group size on this Python Machine Learning is 4. Refund Policy No Refunds

Excel Advanced Course, 1-Day. Who should attend: Excel Advanced is for Excel Experts: Your work daily with Excel and your work revolves around spreadsheets and Excel databases. Course Details: Location: Instructor-led, Online. Our Style: Hands-on, Practical Course. Group Size: Max 4 people per group. Qualification: PCWorkshops Excel Advanced Certification Hours: 1 Day, 10am-5pm Delivery Style: 1-1, because we understand that individuals have varying skill levels and varying applications. Excel Advanced Course Description General Editing Standard Formatting Rules Input Validate rules Using Formulas in Conditional Formatting Group and Outline Filter and Sorting Excel Tables and Advanced Filter Working with Excel tables Copy specific datasets from sheets, workbooks or external data Consilidate Goal seek, consolidate and scenarios Using Form Templates Creating Templates Advanced Excel Lookup Functions VLookup Function Hlookup Function Using the Index Function, Using the Match Function, Index and Match Together Using the Indirect Function Excel Advanced Functions Using Error Functions, Logical Functions, Array Functions, Rounding Functions Advanced Excel Pivot Table Tools Importing Pivot Table Data, Calculated Fields in Pivot Tables, Showing Pivot Data as a Percentage, Creating Custom Pivot Tables Styles Pivot Charts Excel Macros Creating, amending and deleting macros Running macros Macro menus, toolbars and shortcuts Alternative Excel Courses Inlcuded with the Excel Advanced Course PCWorkshops Excel Advanced Certificate on completion Excel Advanced Notes Excel Code Examples Practical Excel Advanced exercises Personalised attention in a 1-1 session About us Our experienced trainers are award winners. FAQ's Client Comments

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