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Duration 2.75 Days 16.5 CPD hours This course is intended for Complete beginners who have never programmed before to experienced developers coming from another programming language. Overview You will learn how to leverage the power of Python to solve tasks. You will build games and programs that use Python libraries. You will be able to use Python for your own work problems or personal projects. You will create a portfolio of Python based projects you can share. Learn to use Python professionally, learning both Python 2 and Python 3! Create games with Python, like Tic Tac Toe and Blackjack! Learn advanced Python features, like the collections module and how to work with timestamps! Learn to use Object Oriented Programming with classes! Understand complex topics, like decorators. Understand how to use both the Jupyter Notebook and create .py files Get an understanding of how to create GUIs in the Jupyter Notebook system! Build a complete understanding of Python from the ground up! Our Introduction to Python course is designed to take complete beginners or experienced developers up to speed on Python?s capabilities, setting up students for success in using Python for their specific field of expertise. Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of Python, this course is for you! In this course we will teach you Python 3. Learn how to use Python for real-world tasks, such as working with PDF Files, sending emails, reading Excel files, scraping websites for information, working with image files, and much more! This course will teach you Python in a practical manner and provides a full coding screencast and a corresponding code notebook to review the concepts and exercises conducted in class. Please note, this course is able to be offered in either 3 full day sessions or 5 partial day sessions. See the schedule below. This course includes 6-months access to the full course content in on-demand format to support post-class reference and review. Command Line Basics Python System Setup Jupyter Notebooks Python Data Types Key Data Structures Logic and Control Flow Functions Debugging Modules Object Oriented Programming File I/O Testing Decorators Generators Automation of Tasks Web Scraping Graphical User Interfaces Additional course details: Nexus Humans Introduction to Python 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 Introduction to Python 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.

About this course This practical course will help primary teachers to understand the purpose of assessment in history and consider current best practice. We will explore ways of continuing to improve the quality of teaching and learning in history through effective assessment strategies. We will go through practical ideas and resources to enliven teaching and learning in history and provide opportunities for assessment. This course will provide guidance and support to help develop the accuracy of teacher judgements. During the course, we will look at examples of writing and outcomes from different schools and consider how these outcomes demonstrate progress and attainment in history. Outcomes • understand the purpose of assessment in history • consider current best practice • explore ways of continuing to improve the quality of teaching and learning in history through effective assessment strategies • explore practical ideas and resources to enliven teaching and learning in history and provide opportunities for assessment • provide guidance and support to help develop the accuracy of teacher judgements Course leader The course is led by Steven Kenyon. Steven is a member of the Historical Association’s primary committee, having worked as a primary school teacher and then Deputy Head Teacher between 2004 and 2018. He joined Lancashire Professional Development Service in April 2018 as a Teaching and Learning Consultant for Primary History and English. He works closely with Lancashire Archives to promote and develop local history work in primary schools. This year he is a judge for the Historical Association's Young Quills Awards.

Duration 3 Days 18 CPD hours This course is intended for Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary. Overview By the end of this course, you will be able to build your own marketing reporting and interactive dashboard solutions. The course starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation.As you make your way through the course, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding sections, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices. Data Preparation and Cleaning Data Models and Structured Data pandas Data Manipulation Data Exploration and Visualization Identifying the Right Attributes Generating Targeted Insights Visualizing Data Unsupervised Learning: Customer Segmentation Customer Segmentation Methods Similarity and Data Standardization k-means Clustering Choosing the Best Segmentation Approach Choosing the Number of Clusters Different Methods of Clustering Evaluating Clustering Predicting Customer Revenue Using Linear Regression Understanding Regression Feature Engineering for Regression Performing and Interpreting Linear Regression Other Regression Techniques and Tools for Evaluation Evaluating the Accuracy of a Regression Model Using Regularization for Feature Selection Tree-Based Regression Models Supervised Learning: Predicting Customer Churn Classification Problems Understanding Logistic Regression Creating a Data Science Pipeline Fine-Tuning Classification Algorithms Support Vector Machine Decision Trees Random Forest Preprocessing Data for Machine Learning Models Model Evaluation Performance Metrics Modeling Customer Choice Understanding Multiclass Classification Class Imbalanced Data Additional course details: Nexus Humans Data Science for Marketing Analytics 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 Data Science for Marketing Analytics 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.

Course Objectives At the end of this course you will be able to: Identify the components of the Microsoft Project environment Create a new project plan Create the project schedule Use different views to analyse the project plan Create, allocate and manage resources in a project plan Finalise a project plan Track progress View and report project plan information ' 1 year email support service Customer Feedback Very good course. Learnt a lot. Looking forward to the next level. Alexandra - CIAL ' 1 year email support service Take a closer look at the consistent excellent feedback from our growing corporate clients visiting our site ms-officetraining co uk With more than 20 years experience, we deliver courses on all levels of the Desktop version of Microsoft Office and Office 365; ranging from Beginner, Intermediate, Advanced to the VBA level. Our trainers are Microsoft certified professionals with a proven track record with several years experience in delivering public, one to one, tailored and bespoke courses. Our competitive rates start from £550.00 per day of training Tailored training courses: You can choose to run the course exactly as they are outlined by us or we can customise it so that it meets your specific needs. A tailored or bespoke course will follow the standard outline but may be adapted to your specific organisational needs. Introduction to Microsoft Project Recap on project management concepts Project environment overview The 3 databases: Tasks, Resources and Assignments Different ways of displaying the Project Plan Access Help Creating a Project Plan Create a New Project Plan Project Information Create and apply the project calendar Defining recurring exceptions to the calendar Defining the calendar's work weeks Create the Summary tasks Create the Work Breakdown Structure Task creation and scheduling Exploring the Entry Table and its fields Task editing and the Task Information window Task Durations Defining Milestones Manual Scheduling vs Automatic Scheduling Changing the Task's Calendar Create a split in a Task Create Task Relationships Adding Lag or Lead to a Relationship Identifying the Critical Path Adding Constraints and Deadlines to Tasks Create Recurring Activities Adding Notes and links to Tasks Managing Resources Exploring the Entry Table and its fields Resource editing and the Resource Information window Resource Types Fixed Costs vs Variable Costs Adding Resource Costs Defining when costs accrue Changing the Resource Calendar and Availability Project calendar vs Resource and Task Calendar Assigning Resources to Tasks Effort Driven Scheduling Resolving Resource Overallocation Tracking the Project Progress Setting a Project Baseline Entering Actuals Different ways of viewing the Progress Checking if the Project is on track Viewing and Reporting Project Detail Adding Tasks to the Timeline and sharing it Modifying the Timescale and Zoom level Formatting the Gantt View Filtering and Grouping Tasks Print and Troubleshoot the Gantt View Using built-in Reports in Microsoft Project Who is this course for? Who is this course for? This course is designed for a person who has an understanding of project management concepts, who is responsible for creating and modifying project plans, and who needs a tool to manage these project plans. Requirements Requirements General knowledge of the Windows OS Career path Career path Microsoft Office know-how can instantly increase your job prospects as well as your salary. 80 percent of job openings require spreadsheet and word-processing software skills

Duration 1 Days 6 CPD hours This course is intended for This course is intended for students who have a foundational working knowledge of PowerPoint, who wish to take advantage of the application's higher-level usability, security, collaboration, and distribution functionality. Overview In this course, you will use the advanced tools and features in PowerPoint to create and deliver engaging presentations.You will: Customize design templates. Add tables. Add charts. Work with media. Build advanced transitions and animations. Collaborate on a presentation. Customize the delivery of a presentation. Modify presentation navigation. Secure and distribute a presentation. Meetings, instruction, training, pitches; these are all a part of our daily lives. We are often called upon to deliver presentations with little notice, at multiple venues, and with varying requirements. And, some of these presentations include sensitive information that needs to be guarded. Given all the variables, it may seem an overwhelming task to deliver your content, on time, to all audiences, and to only those who need to see it. Oh, and by the way, you need to make it interesting, informative, and memorable. So, how do you do it? Without the help of a robust set of tools, it would be nearly impossible. But Microsoft© PowerPoint© provides you with a variety of such tools that can help you deliver content in nearly any situation, while saving time and effort. By taking advantage of these tools, you will be creating presentations that not only stand out from the crowd, but also don't consume all of your available time. Note: Most Office users perform the majority of their daily tasks using the desktop version of the Office software, so that is the focus of this training. The course material will also enable you to access and effectively utilize many web-based resources provided with your Microsoft 365? subscription. Helpful notes throughout the material alert you to cases where the online version of the application may function differently from the primary, desktop version. This course may be a useful component in your preparation for the PowerPoint Associate (Microsoft 365 Apps and Office 2019): Exam MO-300 certification exam. Lesson 1: Customizing Design Templates Topic A: Modify Slide Masters and Slide Layouts Topic B: Modify the Notes Master and the Handout Master Topic C: Add Headers and Footers Lesson 2: Adding Tables Topic A: Create a Table Topic B: Format a Table Topic C: Insert a Table from Other Office Applications Lesson 3: Adding Charts Topic A: Create a Chart Topic B: Format a Chart Topic C: Insert a Chart from Microsoft Excel Lesson 4: Working with Media Topic A: Add Audio to a Presentation Topic B: Add Video to a Presentation Topic C: Add a Screen Recording Lesson 5: Building Advanced Transitions and Animations Topic A: Use the Morph Transition Topic B: Customize Animations Lesson 6: Collaborating on a Presentation Topic A: Review a Presentation Topic B: Co-author a Presentation Lesson 7: Customizing Presentation Delivery Topic A: Enhance a Live Presentation Topic B: Record a Presentation Topic C: Set Up a Slide Show Lesson 8: Modifying Presentation Navigation Topic A: Divide a Presentation into Sections Topic B: Add Links Topic C: Create a Custom Slide Show Lesson 9: Securing and Distributing a Presentation Topic A: Secure a Presentation Topic B: Create a Video or a CD

SQL Queries Course, 1-Day. Basic SQL syntax. This course is good for any database, covering standard SQL. Most attendees are in-work IT Professional. Private individuals are also very welcome.

Our Creative Writing course, running for five weeks, will explore the art of storytelling in depth. Is your child a budding writer aiming to excel in 11+ exams in the UK? Our Creative Writing course is designed just for them Over five weeks, we'll delve into the art of storytelling, focusing on creating pieces that set your child apart and building essential exam skills. From mastering the nuances of the five senses to paragraph and story structure, our expert exam tutor, Kristen, will guide students every step of the way. We'll help your child answer those seemingly boring questions with enthusiasm, explore figures of speech, enrich vocabulary, and unleash their creative potential. This will be the perfect course to learn about exam skills for 11+ creative writing tasks!

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

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Duration 2 Days 12 CPD hours Overview What's New in This Guide? The behind-the-scenes journal entry for transactions is now included. This course is a continuation of topics following ?Get Started with QuickBooks 2021 for Windows?. First-time QuickBooks users will learn the basic features of the software. Experienced QuickBooks users will quickly learn the new features and functionality of QuickBooks 2021. This course covers features that are in QuickBooks Pro and Premier 2021. Memorizing Transactions Entering a New Memorized Transaction Editing a Memorized Transaction Deleting a Memorized Transaction Grouping Memorized Transactions Using a Memorized Transaction Printing the Memorized Transaction List Customizing Forms Creating a Custom Template Modifying a Template Printing Forms Using Other QuickBooks Accounts Other QuickBooks Account Types Working with Credit Card Transactions Working with Fixed Assets Working with Long-Term Liability Accounts Using the Loan Manager Creating Reports Working with Quick Reports Working with Preset Reports Sharing Reports Exporting Reports to Microsoft Excel Printing Reports Creating Graphs Creating QuickInsight Graphs Using QuickZoom with Graphs Working with the Sales Graph Customizing Graphs Printing Graphs Tracking and Paying Sales Tax Using Sales Tax in QuickBooks Setting Up Tax Rates and Agencies Indicating Who and What Gets Taxed Applying Tax to Each Sale Determining What You Owe Paying Your Tax Agencies Preparing Payroll with QuickBooks Using Payroll Tracking Setting Up for Payroll Setting Up Employee Payroll Information Setting Up a Payroll Schedule Writing a Payroll Check Printing Paycheck Stubs Tracking Your Tax Liabilities Paying Payroll Taxes Preparing Payroll Tax Forms Using Online Banking Setting Up an Internet Connection Setting Up Bank Feeds for Accounts Viewing, Downloading, and Adding Online Transactions Creating Online Payments Transferring Funds Online Canceling Online Payments Managing Company Files Using QuickBooks in Multi-user Mode Setting Up Users and Passwords Setting a Closing Date Sharing Files with an Accountant Updating QuickBooks Backing Up and Restoring a Company File Condensing a Company File Estimating, Time Tracking, and Job Costing Creating Job Estimates Creating an Invoice from an Estimate Displaying Reports for Estimates Updating the Job Status Tracking Time Displaying Reports for Time Tracking Tracking Vehicle Mileage Displaying Vehicle Mileage Reports Displaying Other Job Reports Writing Letters Using the Letters and Envelopes Wizard Customizing Letter Templates Additional course details: Nexus Humans Keep Going With QuickBooks 2021 for Windows 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 Keep Going With QuickBooks 2021 for Windows 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.