1102 Data Analysis courses

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Curriculum of Bundle Course 01: Charity Accounting Module 01: The Concept of Charity Accounting Module 02: Accounting Standards, Policies, Concepts and Principles Module 03: Fund Accounting Module 04: Charity Reporting and Accounts Module 05: Trustees' Annual Report Module 06: Balance Sheet Module 07: Statement of Financial Activities Module 08: Understanding the Income Streams and Expenditure of Charity Module 09: Statement of Cash Flows Module 10: Taxation for Charities and External Scrutiny Module 11: Things to Look Out for in Post Covid Situation Course 02: Fundraising Module 01: Introduction to Fundraising Module 02: Hiring and Training Development Staff Module 03: The Fundraising Cycle Module 04: Establishing Governance Module 05: Managing Budget, Taxes and Accounting Module 06: Fundraising Sources Module 07: Arranging Successful Fundraising Events Module 08: Marketing, Public Relations and Communications Module 09: Tools and Resources that Can Help in Fundraising Module 10: Crowdfunding Module 11: The Organisation and Use of Volunteers Module 12: Risk Management Module 13: Legal Responsibilities Course 03: Double Your Donations & Succeed at Fundraising Module 01: Week 01 Why Should Anyone Donate To Your Organization? Module 02: Week 02 How To Use Emotion To Be More Effective. Module 03: Week 03 How to Create Headlines and Subject Lines That Bring In Money Module 04: Week 04 a Welcome Mat Could Save Your Back Module 05: Week 05 How to Tell Stories That People Remember Module 06: Gems to Remember Module 07: How to Attract Major Gifts - Part 1 Of 2 Module 08: How to Attract Major Gifts - Part 2 Of 2 Course 04: Financial Analysis Section-1. Introduction Section-2. Profitability Section-3. Return Ratio Section-4. Liqudity Ratio Section-5.Operational Analysis Section-6. Detecting Manipulation Course 05: Budgeting and Forecasting Unit-1. Introduction Unit-2. Detail Budget Requirement Unit-3. Process of Making Budget Course 06: Introduction to Accounting Section 01: Accounting Fundamental Section 02: Accounting Policies Course 07: Key Account Management Course Module 1: Introduction to Key Account Management Module 2: Purpose of Key Account Management Module 3: Understanding Key Accounts Module 4: Elements of Key Account Management Module 5: What Makes a Good Key Account Manager Module 6: Building and Delivering Value to Key Accounts Module 7: Key Account Planning Module 8: Business Customer Marketing and Development Module 9: Developing Key Relationships Module 10: The Importance of Record Keeping for Key Account Management Module 11: Internal KAM Aspects Module 12: The Value Proposition Course 08: Professional Bookkeeping Course Section 01: Introduction Section 02: Basic Accounting Terms Section 03: Common Transactions Section 04: Practice Course 09: Microsoft Excel Training: Depreciation Accounting Introduction Depreciation Amortization and Related Terms Various Methods of Depreciation and Depreciation Accounting Depreciation and Taxation Master Depreciation Model Conclusion Course 10: Certificate in Compliance Module 1: Introduction to Compliance Module 2: Compliance Management System Module 3: Basic Elements of Effective Compliance Module 4: Compliance Audit Module 5: Compliance and Ethics Module 6: Introduction to Risk and Basic Risk Types Module 7: Further Risk Types Module 8: Introduction to Risk Management Module 9: Risk Management Process Module 10: Risk Assessment and Risk Treatment Module 11: Types of Risk Management Course 11: Certificate in Anti Money Laundering (AML) Module 01: Introduction to Money Laundering Module 02: Proceeds of Crime Act 2002 Module 03: Development of Anti-Money Laundering Regulation Module 04: Responsibility of the Money Laundering Reporting Office Module 05: Risk-based Approach Module 06: Customer Due Diligence Module 07: Record Keeping Module 08: Suspicious Conduct and Transactions Module 09: Awareness and Training Course 12: Introduction to Data Analysis Module 01: Introduction Module 02: Agenda and Principles of Process Management Module 03: The Voice of the Process Module 04: Working as One Team for Improvement Module 05: Exercise: The Voice of the Customer Module 06: Tools for Data Analysis Module 07: The Pareto Chart Module 08: The Histogram Module 09: The Run Chart Module 10: Exercise: Presenting Performance Data Module 11: Understanding Variation Module 12: The Control Chart Module 13: Control Chart Example Module 14: Control Chart Special Cases Module 15: Interpreting the Control Chart Module 16: Control Chart Exercise Module 17: Strategies to Deal with Variation Module 18: Using Data to Drive Improvement Module 19: A Structure for Performance Measurement Module 20: Data Analysis Exercise Module 21: Course Project Module 22: Test your Understanding Course 13: GDPR Data Protection Level 5 Module 01: GDPR Basics Module 02: GDPR Explained Module 03: Lawful Basis for Preparation Module 04: Rights and Breaches Module 05: Responsibilities and Obligations Course 14: Human Rights Module 1: Basic Concept of Freedom and Human Rights Module 2: Classification of Human Rights Module 3: Women's and Children's Right Module 4: Various Aspects of Freedom Module 5: Various International Human Rights Organisations CPD 145 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Charity Accounting bundle. Requirements Our Charity Accounting course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. Career path Having this Charity Accounting expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included P.S. The delivery charge inside the UK is £3.99, and the international students have to pay £9.99.

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PDF Certificates: Free (Previously it was £10*11= £110) Hard Copy Certificates: Free (Previously it was £20*11= £220) Curriculum of the Bundle Course 01: Complete Web Application Penetration Testing & Security Unit 01: Introduction Unit 02: BE PREPARED Unit 03: WEB APPLICATION TECHNOLOGIES Unit 04: INFORMATION GATHERING - MAPPING THE APPLICATIONS Unit 05: CROSS-SITE SCRIPTING ATTACKS - XSS Unit 06: SQL INJECTION ATTACKS - EXPLOITATIONS Unit 07: CROSS SITE REQUEST FORGERY - XSRF Unit 08: AUTHENTICATION & AUTHORIZATION ATTACKS Unit 09: CLIENT SIDE SECURITY TESTING Unit 10: FILE RELATED VULNERABILITIES Unit 11: XML EXTERNAL ENTITY ATTACKS - XXE Course 02: Secure Programming of Web Applications Section 01: Introduction Section 02: Well-known Vulnerabilities and Secure Programming Section 03: Conclusion and Summary Course 03: GDPR Data Protection Level 5 Module 01: GDPR Basics Module 02: GDPR Explained Module 03: Lawful Basis for Preparation Module 04: Rights and Breaches Module 05: Responsibilities and Obligations Course 04: Front End Web Development Diploma Welcome to the course! Web Development Basics - HTML Advanced HTML Concepts Introduction to Cascading Style Sheets (CSS) Advanced CSS JavaScript for Begeinners More JavaScript Concepts Getting Started with jQuery More jQuery Bootstrap Basics Project #2 - Pipboy from Fallout 4 Project #3 - Google Chrome Extension BONUS - Coding Another Google Chrome Extension Course 05: Modern Web Designing - Level 2 Module: 01 1.1 Intro 1.2 Install the Tools and Get Started Module: 02 2.1 Intro to HTML 2.2 What is HTML 2.3 Start a New HTML File & Use Tags 2.4 Header Tags 2.5 Edit Text 2.6 Links 2.7 Images 2.8 Lists 2.9 Challenge 1 2.10 HTML Outro Module: 03 3.1 CSS Intro 3.2 Add CSS Styles 3.3 Classes and IDs 3.4 Borders 3.5 Sizing 3.6 Padding and Margin 3.7 Text Styles 3.8 DIVs 3.9 Postioning 3.10 Hover 3.11 Easily Center Elements 3.12 Fonts 3.13 Challenge 3.14 CSS Outro Module: 04 4.1 Intro to Bootstrap 4.2 Install Bootstrap 4.3 Indenting and Containers 4.4 The Grid System 4.5 Images 4.6 Buttons 4.7 Challenge 3 4.8 Bootstrap Outro Module: 05 5.1 Landing Page Intro 5.2 Sketch Your Landing Page 5.3 The Top Section 5.4 Polish the Top Section 5.5 Adding Images 5.6 The Main Points Section 5.7 Collecting Emails With an Opt-In Form 5.8 Challenge 4 5.9 Landing Page Outro Module: 06 6.1 Business Site Intro 6.2 Sketch Up 6.3 Using Fancy Font Logo 6.4 Carousel Basics 6.5 Carousel Extras 6.6 Text on Images 6.7 Phone Number Icon 6.8 Google Maps 6.9 Font Awesome 6.10 Challenge 4 6.11 Business Site Outro Module: 07 7.1 Intro 7.2 Portfolio Sketch 7.3 Jumbotron 7.4 Nav Bar 7.5 Panels 7.6 Challenge 5 7.7 Portfolio Outre Module: 08 8.1 Hosting 8.2 Bluehost 8.3 Uploading 8.4 Tips 8.5 Hosting Outro Course 06: WebGL 2D/3D Programming and Graphics Rendering Section 01: Introduction Section 02: Drawing Objects Section 03: Colours and Textures Section 04: Moving & Transforming Objects Section 05: Movement & Camera Section 06: Lighting & Shading Course 07: Python for Data Analysis Welcome, Course Introduction & overview, and Environment set-up Python Essentials Python for Data Analysis using NumPy Python for Data Analysis using Pandas Python for Data Visualization using matplotlib Python for Data Visualization using Seaborn Python for Data Visualization using pandas Python for interactive & geographical plotting using Plotly and Cufflinks Capstone Project - Python for Data Analysis & Visualization Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Python for Machine Learning - scikit-learn - Logistic Regression Model Python for Machine Learning - scikit-learn - K Nearest Neighbors Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Python for Machine Learning - scikit-learn - K Means Clustering Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Recommender Systems with Python - (Additional Topic) Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Course 08: Network Security Level 2 Security and Risk Management Asset Security Security Engineering Communication and Network Security Identity and Access Management Security Assessment and Testing Security Operations Software Development Security Course 09: SQL Server for Beginners Introduction Setup Basic queries Security MSSQL an ddifferent drivers Files General Course 10: Functional Skills IT Section 1: Introduction Section 2: Information Technology Section 3: Components of IT Section 4: Hardware Section 5: Operating System Section 6: Application/Software Section 7: Networking Section 8: Security Section 9: Traffic Flow & Enterprise Level IT Components Section 10: Storage Section 11: Database Section 12: Virtualisation & Cloud Section 13: Management & Other IT Jobs Course 11: Level 2 Microsoft Office Essentials Excel 2016 Getting Started with Microsoft Office Excel 2016 Performing Calculations Modifying a Worksheet Formatting a Worksheet Printing Workbooks Managing Workbooks Word 2016 Getting Started with Word Formatting Text and Paragraphs Working More Efficiently Managing Lists Adding Tables Inserting Graphic Objects Controlling Page Appearance Preparing to Publish a Document Workbooks - Microsoft Word 2016 (Beginner) PowerPoint 2016 PowerPoint Interface Presentation Basics Formatting Inserting Options Working with Objects Table Charts Review and Presentatin Access 2016 Introduction to Access Modify Data Working with Queries Access Forms Working with Reports CPD 135 CPD hours / points Accredited by CPD Quality Standards Who is this course for? 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This comprehensive course, 'SQL for Data Science, Data Analytics, and Data Visualization,' covers essential SQL concepts and tools for working with data. Participants will learn to manipulate, analyze, and visualize data using SQL Server, Azure Data Studio, and other relevant tools. The course also delves into advanced SQL commands, stored procedures, and data import/export, making it ideal for aspiring data professionals. Learning Outcomes: Set up and configure SQL Server and SQL Azure Data Studio for data analysis. Master SQL statements for data manipulation, data structure, and user management. Utilize SQL queries, joins, and aggregate functions for efficient data analysis. Understand SQL constraints, views, and advanced commands for in-depth data exploration. Create and implement SQL stored procedures to automate tasks. Leverage Azure Data Studio for data visualization and perform data analysis with SQL. Why buy this SQL for Data Science, Data Analytics and Data Visualization? 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This SQL for Data Science, Data Analytics and Data Visualization 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 SQL for Data Science, Data Analytics and Data Visualization does not require you to have any prior qualifications or experience. You can just enrol and start learning.This SQL for Data Science, Data Analytics and Data Visualization 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 SQL for Data Science, Data Analytics and Data Visualization is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Getting Started Introduction 00:03:00 How to get course requirements 00:03:00 Getting started on Windows, Linux or Docker 00:01:00 How to ask great questions 00:01:00 FAQ's 00:01:00 Section 02: SQL Server setting up Section Introduction 00:02:00 Microsoft SQL Server Installation 00:19:00 SQL Server Management Studio (SSMS) Installation 00:08:00 How to connect MS SQL (Windows Authentication) 00:04:00 How to connect MS SQL (SQL Server Authentication) 00:03:00 Download and Restore Sample Database 00:07:00 Section 03: SQL Azure Data Studio What is Azure Data Studio 00:06:00 Azure Data Studio Installation steps 00:07:00 Azure Data Studio to Connect SQL Server 00:09:00 Create a Database 00:07:00 Create a Table 00:09:00 Insert Data rows 00:07:00 View the Data returned by Query 00:03:00 Section 04: SQL Database basic SSMS Section Introduction 00:01:00 Overview of Databases8 00:11:00 Creating Database 00:05:00 SQL Data Types 00:03:00 Column Data Types on SSMS 00:04:00 Creating Table 00:09:00 Overview of Primary Key and Foreign Key 00:04:00 Primary Key 00:04:00 Foreign Key 00:07:00 Creating Temporary tables 00:06:00 Section 05: SQL Statements for DATA Section Introduction 00:01:00 Insert statement 00:08:00 Update statement 00:05:00 Delete statement 00:03:00 Section 06: SQL Data Structure statements Section Introduction 00:01:00 CREATE table statement 00:03:00 DROP statement 00:02:00 ALTER statement 00:05:00 TRUNCATE statement 00:04:00 COMMENT in query 00:01:00 RENAME 00:02:00 Section 07: SQL User Management Create Database user 00:04:00 GRANT permissions 00:06:00 REVOKE permissions 00:04:00 Section 08: SQL Statement Basic Section Introduction 00:01:00 SQL Statement basic 00:03:00 SELECT Statement 00:07:00 SELECT DISTINCT 00:03:00 SELECT with column headings 00:03:00 Column AS statement 00:02:00 Section 09: Filtering Data rows SELECT WHERE Clause - theory 00:04:00 SELECT WHERE Clause - practical 00:07:00 Section 10: Aggregate functions Sum() 00:08:00 Min()-Max() 00:06:00 Section 11: SQL Query statements Order By statement 00:05:00 SELECT TOP clause in SQL 00:04:00 BETWEEN command 00:08:00 IN operator 00:04:00 Wildcard Characters and LIKE 00:05:00 Section 12: SQL Group by statement Section Introduction 00:01:00 Group by - theory8 00:03:00 Group by - practical 00:05:00 HAVING statement 00:04:00 Section 13: JOINS for Multiple table Data Analysis Overview of Joins 00:02:00 What are Joins 00:02:00 Inner join 00:08:00 Left outer join 00:03:00 Right outer join 00:02:00 Full outer join 00:01:00 Union 00:03:00 Cartesian Product with the Cross Join 00:03:00 Query Exercise 00:01:00 Solution for Query Exercise 00:01:00 Section 14: SQL Constraints Section introduction 00:01:00 Check constraint 00:07:00 NOT NULL constraint 00:08:00 UNIQUE constraint 00:05:00 Section 15: Views Creating Views 00:04:00 Reporting with multiple tables 00:03:00 Section 16: Advanced SQL commands Section Introduction 00:01:00 Timestamp 00:04:00 Extract from timestamp 00:03:00 Mathematical scalar functions 00:04:00 String functions 00:05:00 Sub Query 00:03:00 SELECT with calculations 00:06:00 Section 17: SQL Stored procedures Create stored procedure 00:05:00 Stored procedure with parameter 00:04:00 Section 18: Azure Data Studio Visualization Installing SandDance Extension 00:03:00 Visualization Charts 00:05:00 Multiple Table Data Charts 00:06:00 Section 19: Azure Studio SQL for Data Analysis Type Decision for Data Analysis 00:13:00 Data Analysis with Case Statement and String Text 00:09:00 Section 20: Import & Export data Section Introduction 00:01:00 Import Flat File 00:05:00 Import .csv or excel file 00:03:00 Export Data to Excel or any format 00:06:00 Section 21: Backup and Restore Database Section Introduction 00:01:00 Creating Database backup 00:04:00 Restoring Database backup 00:04:00

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