4339 Operations courses in Scunthorpe delivered Online

Overview This comprehensive course on Python for Data Analysis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Python for Data Analysis comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Python for Data Analysis. It is available to all students, of all academic backgrounds. Requirements Our Python for Data Analysis is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 19 sections • 99 lectures • 00:08:00 total length •Welcome & Course Overview: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:37:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method ..: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00 •Resources- Python for Data Analysis: 00:00:00

12 in 1 Career Guided Programme | Python, Data Science, ML, Tableau, SQL Programming, Data Mining, Business Analysis | 130 CPD Points | Tutor Support | Lifetime Access

Duration 3 Days 18 CPD hours This course is intended for Application ConsultantBusiness AnalystBusiness Process ArchitectBusiness Process Owner / Team Lead / Power UserExecutiveIndustry SpecialistProgram/Project Manager Overview This course will prepare you to:Describe the motivation for S/4HANA Enterprise ManagementExecute innovative logistics processes in the areas of logistics planning and execution in S/4HANA, especially in manufacturing, procurement, and salesLearn about the simplification listOutline the SAP User Experience strategyUse SAP Fiori among other user interfaces to execute logistics processesOutline different migration strategies Students will learn to execute innovative logistics processes in the areas of logistics planning and execution in S/4HANA, especially in manufacturing, procurement, and sales. Motivation and Functional Overview of SAP S4/HANA (Materials Management and Operations)Simplification ListSAP User Experience, especially SAP FioriInnovative Logistics Processes in the Areas of Logistics Planning and Execution in S/4HANA, especially in Manufacturing, including MRP Life and Production Planning / Detailed Scheduling (PP/DS) Procurement, Sales, including Back Order Processing, and Extended Warehouse Management (EWM) Migration Scenarios

Duration 2 Days 12 CPD hours This course is intended for This basic course is for everyone needing to write, support, or understand SQL queries. This includes but is not limited to end-users, programmers, application designers, database administrators, and system administrators who do not yet have knowledge of Overview Code SQL statements to retrieve data from a DB2 or Informix table, including the SELECT, FROM, WHERE, GROUP BY, HAVING and ORDER BY clauses Code inner joins and non-correlated subqueries Use SQL arithmetic operations Use scalar and column functions Use UNION and UNION ALL INSERT, UPDATE and DELETE rows Code simple CREATE TABLE and CREATE VIEW statements This course is appropriate for customers working in all DB2 environments, that is, z/OS, VM/VSE, iSeries, Linux, UNIX, and Windows. It is also appropriate for customers working in an Informix environment. Outline Introduction Simple SQL Queries Retrieving Data from Multiple Tables Scalar Functions and Arithmetic Column Functions and Grouping UNION and UNION ALL Using Subqueries Maintaining data

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: IT/Senior managers Solutions architects/Enterprise architects Operations professionals Overview This course teaches you how to: Build your cloud strategy. Develop the hiring plan for your cloud team. Choose and prioritize which applications to move to AWS. Build a migration plan for moving workloads to AWS. Manage your AWS expenditures and internal chargebacks. This course teaches you how to select the right strategy, people, migration plan, and financial management methodology needed when moving your workloads to the cloud. This course provides guidance on how to build a holistic cloud adoption plan and how to hire people who will execute that plan. You will learn best practices for choosing workloads to migrate from your on-premises environment to AWS. In addition, you will also learn best practices for managing your AWS expenses and dealing with internal chargebacks. Building Your Cloud StrategyHiring Your Cloud TeamMigration PlanningCloud Expenditure Management

Begin your sales journey with the ‘Diploma in Sales’ course. From sales skills development to market understanding, presentation techniques, and future trends, this course provides a foundational blueprint for success in the sales arena.

If you want to learn vector graphics and want to create unique vector 2D game assets, this Vector Game Art Creation course is for you. This course will make you qualified to create characters, platforms, buttons, and simple animations for mobile games. Inkspace is a free vector graphics program which is helpful in creating all the game art needed to create a 2D mobile game. Throughout this Vector Game Art Creation course, you'll learn how to use this free design tool and create much more than just game art. This course will also give you the chance to use and experiment with 30+ unique elements in games.  Take this game art course today and equip yourself with the essential skills to make tremendous graphics with this free program. What you'll learn create characters, platforms, buttons and simple animations for your mobile game! Create quality game graphics, that can sell on online marketplaces! create 2d game graphics suitable for Yoyo games Game Maker, Gamesalad, unity 2d or any other program! use the free design tool Inkscape and create much more than just game art Requirements You will need Inkscape (download it for free!) Who this course is for: This course is for you, if you want to create your own game and keep a low budget. This course will help you create all 2d game graphics you might need! This course is not about 3d and won't help you develop and build your game. But it will help you make some awesome graphics with a free program! Welcome to Inkscape Introduction FREE 00:02:00 The user interface 00:03:00 Drawing in Inkscape Drawing your first object 00:07:00 Working with multiple objects 00:07:00 Colors in Inkscape 00:06:00 Path operations - creating simple shapes 00:09:00 Gradients and groups 00:11:00 Modify path - the best way refine your objects 00:09:00 Use what you learned draw a bomb in Inkscape 00:09:00 Exporting Export bitmap image 00:07:00 How and why to save to SVG 00:03:00 GUI elements - Creating buttons First step - learn the text tool 00:06:00 Align and distribute 00:05:00 Button states 00:05:00 Buton variations 00:17:00 Creating Platforms Design a basic platform 00:08:00 Tiling platforms 00:09:00 Platform mutations 00:08:00 Design and animate game characters Draw and move a character or a top down shooter 00:09:00 Design a a game hero! 00:11:00 Character poses 00:11:00 Practice animation The blob! 00:14:00 Set up and understand a more complex walk cycle 00:14:00 Finish the walk cycle 00:09:00 Backgrounds for your game Understanding backgrounds 00:05:00 Tiling backgrounds 00:14:00 Add foreground elements 00:20:00 Bacground variations 00:17:00 More tips and tricks Modularity - be more creative and efficient 00:11:00 Bonus lecture 00:01:00 Additional Material Resource Files: Vector Game Art Creation 00:00:00

Overview This comprehensive course on Mini MBA will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Mini MBA comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Mini MBA. It is available to all students, of all academic backgrounds. Requirements Our Mini MBA is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 25 sections • 25 lectures • 03:25:00 total length •Appreciating the Mini MBA: 00:10:00 •The Foundations of Business: 00:10:00 •Understanding Business Law: 00:10:00 •Competitive Business Strategies: 00:10:00 •Departments in Business: 00:10:00 •Planning the Right Strategy for Business: 00:05:00 •Managing Human Resources in Business: 00:10:00 •Economics Influences on Business: 00:10:00 •Business Accounting: 00:10:00 •Finance in Business: 00:10:00 •Business Marketing: 00:10:00 •Advertising and Promotion: 00:10:00 •The Art of Negotiation: 00:05:00 •Communication and Presentation: 00:05:00 •Organisational Behaviour in Business: 00:10:00 •Building Teams in Business: 00:05:00 •Business Leadership: 00:05:00 •Operations Management: 00:15:00 •The Importance of Risk Management: 00:10:00 •Project Management: 00:05:00 •Quantitative Research and Analysis: 00:05:00 •Qualitative Research and Analysis: 00:05:00 •Becoming an Entrepreneur: 00:05:00 •Corporate Social Responsibility (CSR): 00:10:00 •Avoiding Management Mistakes: 00:05:00

Overview This comprehensive course on Financial Ratio Analysis for Business Decisions will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Financial Ratio Analysis for Business Decisions comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Financial Ratio Analysis for Business Decisions. It is available to all students, of all academic backgrounds. Requirements Our Financial Ratio Analysis for Business Decisions is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 6 sections • 22 lectures • 02:42:00 total length •Financial Statement Analysis Objectives: 00:02:00 •Financial Analysis Methods in Brief: 00:10:00 •Ratio Analysis: 00:05:00 •Gross Profit: 00:10:00 •Net Profit: 00:05:00 •ClassRoom Discussion for some other expenses: 00:07:00 •Use of Profitability Ratio to understand Competitive advantage and business model: 00:08:00 •Return on Assets and Fixed Assets: 00:11:00 •Return on Capital Employed: 00:08:00 •Case Study Analysis of three telecom companies: 00:15:00 •Cautions for using return ratios on face value: 00:04:00 •Ratios which help to understand how efficiently assets are used: 00:17:00 •How do we measure utilisation of assets not recorded in the Balance Sheet: 00:09:00 •Liquidity Ratio to understand Risk inherent in companies: 00:05:00 •Long Term Liquidity Ratios: 00:06:00 •Financial Analysis Measure meant to understand efficiency in other operations: 00:04:00 •Summarise - Ratios use for operational analysis: 00:03:00 •Dupont Analysis to understand opportunities in optimising return on equity: 00:04:00 •Detecting Manipulation in accounts - Fake Sales: 00:11:00 •Detecting Manipulation - Wrong Depreciation and others: 00:06:00 •Pricing Decisions: 00:07:00 •How to make Capex Decisions: 00:05:00

Level 7 QLS Endorsed Diploma | 180 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support