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This course first equips you with the fundamentals of Python and then progresses to teach you how to use various libraries such as NumPy, Pandas, Seaborn, Bokeh, and so on. This course contains several mini projects so that, by the end of this course, you will be equipped with the essential tools you need to become a visualization expert.
Overview In the era where information is abundant and decisions are driven by data, have you ever pondered, 'what is machine learning?' or 'what is data science?' Dive into the realm of 'Data Science & Machine Learning with R from A-Z,' a comprehensive guide to unravel these complexities. This course effortlessly blends the foundational aspects of data science with the intricate depths of machine learning algorithms, all through the versatile medium of R. As the digital economy booms, the demand for machine learning jobs continues to surge. Equip yourself with the proficiency to navigate this dynamic field and transition from being an inquisitive mind to a sought-after professional in the space of data science and machine learning with R. Learning Outcomes: Understand the foundational concepts of data science and machine learning. Familiarise oneself with the R environment and its functionalities. Master data types, structures, and advanced techniques in R. Acquire proficiency in data manipulation and visual representation using R. Generate comprehensive reports using R Markdown and design web applications with R Shiny. Gain a thorough understanding of machine learning methodologies and their applications. Gain insights into initiating a successful career in the data science sector. Why buy this Data Science & Machine Learning with R from A-Z course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Data Science & Machine Learning with R from A-Z there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Data Science & Machine Learning with R from A-Z course for? This course is ideal for Individuals keen on exploring the intricacies of machine learning and data science. Aspiring data analysts and scientists looking to specialise in Machine Learning with R. IT professionals aiming to diversify their skill set in the emerging data-driven market. Researchers seeking to harness the power of R for data representation and analysis. Academics and students aiming to bolster their understanding of modern data practices with R. Prerequisites This Data Science & Machine Learning with R from A-Z does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Data Science & Machine Learning with R from A-Z 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 Data Scientist - Average salary range: £35,000 - £70,000 Per Annum Machine Learning Engineer - Average salary range: £50,000 - £80,000 Per Annum Data Analyst - Average salary range: £28,000 - £55,000 Per Annum R Developer - Average salary range: £30,000 - £60,000 Per Annum R Shiny Web Developer - Average salary range: £32,000 - £65,000 Per Annum Machine Learning Researcher - Average salary range: £40,000 - £75,000 Per Annum Course Curriculum Data Science and Machine Learning Course Intro Data Science and Machine Learning Introduction 00:03:00 What is Data Science 00:10:00 Machine Learning Overview 00:05:00 Who is This Course for 00:03:00 Data Science and Machine Learning Marketplace 00:05:00 Data Science and Machine Learning Job Opportunities 00:03:00 Getting Started with R Getting Started 00:11:00 Basics 00:06:00 Files 00:11:00 RStudio 00:07:00 Tidyverse 00:05:00 Resources 00:04:00 Data Types and Structures in R Unit Introduction 00:30:00 Basic Type 00:09:00 Vector Part One 00:20:00 Vectors Part Two 00:25:00 Vectors - Missing Values 00:16:00 Vectors - Coercion 00:14:00 Vectors - Naming 00:10:00 Vectors - Misc 00:06:00 Creating Matrics 00:31:00 List 00:32:00 Introduction to Data Frames 00:19:00 Creating Data Frames 00:20:00 Data Frames: Helper Functions 00:31:00 Data Frames Tibbles 00:39:00 Intermediate R Intermediate Introduction 00:47:00 Relational Operations 00:11:00 Conditional Statements 00:11:00 Loops 00:08:00 Functions 00:14:00 Packages 00:11:00 Factors 00:28:00 Dates and Times 00:30:00 Functional Programming 00:37:00 Data Import or Export 00:22:00 Database 00:27:00 Data Manipulation in R Data Manipulation in R Introduction 00:36:00 Tidy Data 00:11:00 The Pipe Operator 00:15:00 The Filter Verb 00:22:00 The Select Verb 00:46:00 The Mutate Verb 00:32:00 The Arrange Verb 00:10:00 The Summarize Verb 00:23:00 Data Pivoting 00:43:00 JSON Parsing 00:11:00 String Manipulation 00:33:00 Web Scraping 00:59:00 Data Visualization in R Data Visualization in R Section Intro 00:17:00 Getting Started 00:16:00 Aesthetics Mappings 00:25:00 Single Variable Plots 00:37:00 Two Variable Plots 00:21:00 Facets, Layering, and Coordinate Systems 00:18:00 Styling and Saving 00:12:00 Creating Reports with R Markdown Creating with R Markdown 00:29:00 Building Webapps with R Shiny Introduction to R Shiny 00:26:00 A Basic R Shiny App 00:31:00 Other Examples with R Shiny 00:34:00 Introduction to Machine Learning Machine Learning Part 1 00:22:00 Machine Learning Part 2 00:47:00 Starting A Career in Data Science Starting a Data Science Career Section Overview 00:03:00 Data Science Resume 00:04:00 Getting Started with Freelancing 00:05:00 Top Freelance Websites 00:05:00 Personal Branding 00:05:00 Importance of Website and Blo 00:04:00 Networking Do's and Don'ts 00:04:00 Assignment Assignment - Data Science & Machine Learning with R 00:00:00
Duration 2 Days 12 CPD hours This course is intended for The audience for this course is an AWS Sysops Administrator Associate or equivalent. This person has one to two years of experience in AWS deployment, management, and operations. Students taking this course are interested in learning how Azure is different from AWS, and how Azure is administered. Students may also be interested in taking the AZ-103 Microsoft Azure Administrator certification exam, or the AZ-900 Azure Fundamentals exam. This two-day course is designed for AWS Sysops administrators interested in learning how Azure is administered. In this workshop which combines lecture with hands-on practical exercises and discussion/review, you will be introduced to Azure Administration, Azure Networking, Azure Compute, Azure Storage, and Azure Governance. During the workshop, you will apply this knowledge - building end-to-end architecture that demonstrates the main features discussed. Azure Administration In this module, you?ll learn about the tools and principle concepts needed to administer Azure. Topics include: Resource Manager, Resource Groups, Azure Portal, Azure CLI, Azure Templates, Cloud Shell, Azure Marketplace, and Azure PowerShell. Azure Networking In this module, you?ll learn about Azure networking features. Topics include: Azure Regions, Virtual Networks and Subnets, IP Addressing, Network Security Groups, Virtual Network Peering, VNet-to-VNet Connections, ExpressRoute, Load Balancers, and Network Watcher. Azure Compute In this module, you?ll learn about configuring and monitoring Azure virtual machines. Topics include: Azure Virtual Machines, Creating Virtual Machines, Virtual Machine Sizes, Virtual Machine Disks, Availability Zones, Availability Sets, Windows VM Connections, Linux VM Connections, Azure Monitor, and Azure Alerts. Azure Storage In this module, you?ll learn about Azure storage features and implementation. Topics include: Storage Accounts, Blob Storage, Blob Performance Tiers, File Shares, File Sync, Data Box, Content Delivery Network, Shared Access Signatures, and Service Endpoints. Azure Identity In this module, you?ll learn about Azure identity solutions. Topics include: Azure Domains, Role-based Access Control, Azure Active Directory, Multi-Factor Authentication, Azure AD Identity Protection, and Azure Policy. Additional course details: Nexus Humans AZ-010T00 Azure Administration for AWS SysOps 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 AZ-010T00 Azure Administration for AWS SysOps 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.
Duration 5 Days 30 CPD hours This course is intended for This course is designed for: IT Professionals in the BC/DR or system administration domain, business continuity and disaster recovery consultants, individuals wanting to establish themselves in the field of IT business, continuity and disaster recovery, IT risk managers and consultants, and CISOs and IT directors. Before taking this course, some experience in the IT BC/DR domain is recommended. More info can be found here: https://www.eccouncil.org/wp-content/uploads/2017/05/edrpv3-brochure.pdf Overview EC-Council Disaster Recovery Professional (EDRP) is a comprehensive professional course that teaches students how to develop enterprise-wide business continuity and disaster recovery plans. EDRP provides the professionals with a strong understanding of business continuity and disaster recovery principles, including conducting business impact analysis, assessing of risks, developing policies and procedures, and implementing a plan. EDRP teaches professionals how to secure data by putting policies and procedures in place, and how to recover and restore their organization's critical data in the aftermath of a disaster. EDRP provides the professionals with a strong understanding of business continuity and disaster recovery principles, including conducting business impact analysis, assessing of risks, developing policies and procedures, and implementing a plan. It also teaches professionals how to secure data by putting policies and procedures in place, and how to recover and restore their organization?s critical data in the aftermath of a disaster. The program is designed to provide much needed step-by-step guidance to attendees and then tests their knowledge through case studies. EDRPv3 addresses gaps in other BC/DR programs by providing helpful templates that are applied to BC/DR efforts in an enterprise. Course Outline Introduction to Disaster Recovery and Business Continuity Business Continuity Management (BCM) Risk Assessment Business Impact Analysis (BIA) Business Continuity Planning (BCP) Disaster Recovery Planning Process Data Backup Strategies Data Recovery Strategies Virtualization-Based Disaster Recovery System Recovery Centralized and Decentralized System Recovery BCP Testing, Maintenance, and Training Additional course details: Nexus Humans EC-Council Disaster Recovery Professional (EDRP) 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 EC-Council Disaster Recovery Professional (EDRP) 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.
Join the comprehensive Security Guard, CCTV, and Door Supervision course to gain essential skills and knowledge for a successful career in the security industry. Learn security risk analysis, crisis response, CCTV monitoring, and conflict management to ensure safety and compliance. Suitable for aspiring security professionals and those seeking advanced training.
Overview This comprehensive course on Digital Marketing Agency Elite Consultants Masterclass will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Digital Marketing Agency Elite Consultants Masterclass 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 Digital Marketing Agency Elite Consultants Masterclass. It is available to all students, of all academic backgrounds. Requirements Our Digital Marketing Agency Elite Consultants Masterclass 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 8 sections • 141 lectures • 21:55:00 total length •DMA Elite Consultant Course Overview: 00:10:00 •Best Way To Learn These Skills: 00:10:00 •Rewiring Your Brain For MAX Success: 00:53:00 •The Business Model: 00:29:00 •How We Help Businesses: 00:47:00 •2 Types of Digital Marketing Agencies: 00:06:00 •Your Agency Starter Kit: 00:05:00 •Moving Parts of Your Agency: 00:15:00 •Business Applications Overview: 00:06:00 •Set Up Your Free Agency Website: 00:04:00 •Setup Hosting Name Servers: 00:01:00 •How To Install WordPress: 00:01:00 •Install Your Agency Website: 00:17:00 •Setup Your Business Email: 00:06:00 •Your Daily Productivity Hub: 00:14:00 •Laser Focus & Productivity Tools: 00:06:00 •5 Step Agency Success Blueprint: 00:08:00 •Step by Step Action Plan: 00:05:00 •Targeting Your Ideal Clients: 00:14:00 •The Best Niches To Target: 00:08:00 •How To Find Hot Leads Part 1: 00:21:00 •How To Find Hot Leads Part 2: 00:28:00 •How To Find Hot Leads Part 3: 00:20:00 •Google Ads Prospecting: 00:26:00 •Google Ads Advanced Prospecting: 00:15:00 •Google Ads Secret Prospecting Tool: 00:04:00 •Google LSA Prospecting: 00:05:00 •Get Clients With Video Audits: 00:06:00 •Video Audit Email Template Overview: 00:05:00 •Google Ads Video Audit Walkthrough: 00:07:00 •Google Ads Example Video Audit: 00:12:00 •Example Video Audit: 00:02:00 •Example Video Audit #2: 00:04:00 •Facebook Ads Video Audit Walkthrough: 00:07:00 •Facebook Ads Video Audit Script: 00:03:00 •Secret Lead Finder Tool: 00:10:00 •Cold Email Lead Generation System: 00:06:00 •How To Find Case Studies: 00:11:00 •Free Ready To Use Case Studies: 00:02:00 •Where To Get Email Lists: 00:07:00 •How To Write Emails That Convert: 00:28:00 •Get Clients With These Email Templates: 00:16:00 •Get Clients With Social Media Audits: 00:06:00 •Email Guidelines To Follow: 00:08:00 •Good Prospect vs Bad Prospect: 00:06:00 •My Secret Email Template: 00:07:00 •Converting Emails Into Meetings: 00:10:00 •Schedule Calendar Appointments: 00:03:00 •Booking Software Walkthrough: 00:11:00 •Cold Email Automation Tool: 00:07:00 •How To Get Clients on Linkedin: 00:17:00 •Linkedin Basic Search Overview: 00:05:00 •Finding Hot Leads on Linkedin: 00:10:00 •Get Free Leads Sent To Your Inbox: 00:03:00 •Get Instant Credibility on Linkedin: 00:04:00 •Get Clients With Facebook Ads: 00:03:00 •Setup Your Facebook Ads Campaign: 00:08:00 •Automate FB Leads + Landing Page Booking: 00:07:00 •4 Step Cold Calling System: 00:09:00 •Psychology of Cold Calling: 00:07:00 •Working With Gatekeepers: 00:06:00 •Digital Marketing Agency Sales Foundations: 00:07:00 •How To Build Rapport: 00:07:00 •How To Use Tonality: 00:05:00 •Influencing With Language Patterns: 00:07:00 •The 3 Types of Prospects: 00:06:00 •Sales Objection Mastery: 00:16:00 •The Mindset Challenges of Sales: 00:09:00 •The Perfect Discovery Call: 00:20:00 •The Perfect Presentation Call: 00:10:00 •Sales Pipeline CRM Walk-Through: 00:04:00 •How To Collect Payments: 00:05:00 •How To Onboard Clients: 00:09:00 •Step by Step Action Plan: 00:05:00 •Google Ads Overview: 00:18:00 •Google Ads Keyword Overview: 00:14:00 •Create Google Ads Account: 00:08:00 •Google Ads Campaign Creation: 00:20:00 •Google Ads Tools and Settings: 00:04:00 •Google Ads Keyword Research: 00:17:00 •Google Ads Advanced KW Research: 00:08:00 •Setting Up Google Ad Extensions: 00:06:00 •How To Install Google Analytics: 00:05:00 •Google Ads Copywriting Mastery: 00:29:00 •Google Ads Keyword Optimization: 00:03:00 •Google Ads Remarketing: 00:08:00 •WordPress Walkthrough: 00:11:00 •Landing Page Builder Walk-Through: 00:31:00 •Zapier Lead Automation: 00:04:00 •How To Setup Call Tracking: 00:07:00 •Google Ads Cost Calculator: 00:08:00 •Google Ads Presentation Walkthrough: 00:13:00 •Google Local Service Ads: 00:19:00 •Google Local Service Ads Presentation: 00:14:00 •Additional Materials: 00:00:00 •Facebook Ads Overview: 00:14:00 •The Ultimate Facebook Ads Formula: 00:14:00 •7 Principles of Influence: 00:08:00 •The Value Ladder: 00:05:00 •Facebook ROAS Calculator: 00:06:00 •Business Manager Overview: 00:08:00 •Ads Manager Walkthrough: 00:13:00 •Facebook Pixel Setup Walkthrough: 00:08:00 •Traffic Campaign Ad Setup: 00:12:00 •Setting Ad Budget and Schedule: 00:04:00 •Clicks Campaign To Conversions: 00:06:00 •Conversion Campaign Ad Setup: 00:04:00 •Page Post Campaign Setup: 00:07:00 •Traffic and PPE Ad Stacking: 00:09:00 •Lead Ads Campaign Setup: 00:04:00 •How To Create Video Ads: 00:07:00 •Facebook Naming Structure Overview: 00:03:00 •Campaign, Adset & Ad Naming Walkthrough: 00:04:00 •Facebook Ads Copywriting Templates: 00:10:00 •Facebook Ads Split Testing: 00:04:00 •Facebook Ads Policy: 00:03:00 •Facebook CBO Overview: 00:06:00 •Facebook Retargeting Overview: 00:05:00 •Creating Retargeting Audiences: 00:05:00 •Creating LAL Audiences: 00:03:00 •Creating Audience From Customer List: 00:04:00 •Facebook Audience Insights Tool: 00:09:00 •Get Access To Competitors Ads: 00:04:00 •Facebook Ad Performance Metrics: 00:07:00 •Digital Marketing KPI's: 00:07:00 •Facebook Ads Pitchdeck: 00:13:00 •Additional Materials: 00:00:00 •Doing The Work Yourself: 00:05:00 •Outsourcing To White-label Agency: 00:06:00 •Service Fulfillment Partner: 00:48:00 •Hiring Independent Contractors: 00:05:00 •How To Find Appointment Setters: 00:11:00 •How To Find Sales Reps: 00:06:00 •How To Make Easy Money Selling Websites: 00:00:00 •How To Find Web Design Clients: 00:14:00 •Crawl Space Services Funnel: 00:00:00 •Auto Detail Funnel: 00:00:00 •Dental Implants Funnel: 00:00:00 •DUI Attorney Funnel: 00:00:00 •Divorce Attorney Funnel: 00:00:00 •Assignment - Digital Marketing Agency Elite Consultants Masterclass: 00:00:00
Overview This comprehensive course on Data Visualization and Reporting with Power BI will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Visualization and Reporting with Power BI 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 Data Visualization and Reporting with Power BI. It is available to all students, of all academic backgrounds. Requirements Our Data Visualization and Reporting with Power BI 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 15 sections • 140 lectures • 14:25:00 total length •Welcome!: 00:01:00 •What is Power BI?: 00:03:00 •Download & Installing Power BI Desktop: 00:04:00 •Getting to know the interface: 00:03:00 •Mini Project: Transform Data: 00:07:00 •Mini Project: Visualize Data: 00:05:00 •Mini Project: Creating a Data Model: 00:07:00 •Course Outline: What will you learn in this course?: 00:05:00 •How to learn best with this course?: 00:03:00 •Creating our initial project file: 00:04:00 •Working with the attached project files: 00:04:00 •Exploring the Query Editor: 00:06:00 •Connecting to our data source: 00:07:00 •Editing rows: 00:08:00 •Changing data types: 00:08:00 •Replacing values: 00:03:00 •Close & Apply: 00:03:00 •Connecting to a csv file: 00:03:00 •Connecting to a web page: 00:05:00 •Extracting characters: 00:06:00 •Splitting & merging columns: 00:09:00 •Creating conditional columns: 00:06:00 •Creating columns from examples: 00:09:00 •Merging Queries: 00:17:00 •Pivoting & Unpivoting: 00:06:00 •Appending Queries: 00:08:00 •Practice & Solution: Population table: 00:15:00 •The Fact-Dimension-Model: 00:09:00 •Practice: Load the dimension table: 00:04:00 •Organizing our queries in groups: 00:03:00 •Entering data manually: 00:05:00 •Creating an index column: 00:03:00 •Workflow & more transformations: 00:05:00 •Module summary: 00:05:00 •Exercise 1 - Instruction: 00:02:00 •Exercise 1 - Exercise Solution: 00:11:00 •Advanced Editor - Best practices: 00:09:00 •Performance: References vs. Duplicating: 00:10:00 •Performance: Enable / Disable Load & Report Refresh: 00:05:00 •Group by: 00:05:00 •Mathematical Operations: 00:05:00 •Run R Script: 00:15:00 •Using Parameters to dynamically transform data: 00:06:00 •M formula language: Basics: 00:07:00 •M formula language: Values, Lists & Tables: 00:14:00 •M formula language: Functions: 00:13:00 •M formula language: More functions & steps: 00:05:00 •Exercise 2 - Instructions: 00:01:00 •Exercise 2 - solution: 00:05:00 •Understanding the relationship: 00:05:00 •Create & edit relationships: 00:06:00 •One-to-many & one-to-one relationship: 00:06:00 •Many-to-many (m:n) relationship: 00:08:00 •Cross filter direction: 00:06:00 •Activate & deactivate relationships: 00:06:00 •Model summary: 00:03:00 •Exercise 3 Create Model: 00:02:00 •Exercise 3 Solution: 00:02:00 •Our first visual: 00:08:00 •The format tab: 00:12:00 •Understanding tables: 00:10:00 •Conditional formatting: 00:09:00 •The Pie Chart: 00:06:00 •All about the filter visual: 00:13:00 •The filter pane for developers: 00:09:00 •Cross filtering & edit interactions: 00:04:00 •Syncing slicers across pages: 00:07:00 •Creating drill downs: 00:08:00 •Creating drill throughs: 00:07:00 •The tree map visual: 00:07:00 •The decomposition tree: 00:05:00 •Understanding the matrix visual: 00:05:00 •Editing pages: 00:07:00 •Buttons & Actions: 00:09:00 •Bookmarks to customize your report: 00:10:00 •Analytics and Forecasts with line charts: 00:10:00 •Working with custom visuals: 00:07:00 •Get data using R Script & R Script visual: 00:08:00 •Asking questions - Q&A visual: 00:04:00 •Wrap up - data visualization: 00:08:00 •Python in Power BI - Plan of attack: 00:03:00 •Setting up Python for Power BI: 00:03:00 •Transforming data using Python: 00:11:00 •Creating visualizations using Python: 00:08:00 •Violin plots, pair plots & ridge plots using Python: 00:15:00 •Machine learning (BayesTextAnalyzer) using Python: 00:00:00 •Performance & Troubleshooting: 00:03:00 •Introduction: 00:01:00 •Show Empathy & Identify the Requirement: 00:03:00 •Finding the Most Suitable KPI's: 00:02:00 •Choose an Effective Visualization: 00:04:00 •Make Use of Natural Reading Pattern: 00:03:00 •Tell a Story Using Visual Cues: 00:05:00 •Avoid Chaos & Group Information: 00:02:00 •Warp Up - Storytelling with Data: 00:02:00 •Introduction: 00:03:00 •The project data: 00:04:00 •Measures vs. Calculated Columns: 00:15:00 •Automatically creating a date table in DAX: 00:08:00 •CALENDAR: 00:05:00 •Creating a complete date table with features: 00:04:00 •Creating key measure table: 00:03:00 •Aggregation functions: 00:06:00 •The different versions of COUNT: 00:14:00 •SUMX - Row based calculations: 00:09:00 •CALCULATE - The basics: 00:11:00 •Changing the context with FILTER: 00:07:00 •ALL: 00:08:00 •ALL SELECTED: 00:03:00 •ALL EXCEPT: 00:07:00 •How to go on now?: 00:03:00 •Power BI Pro vs Premium & Signing up: 00:04:00 •Exploring the interface: 00:04:00 •Discovering your workspace: 00:03:00 •Connecting Power BI Desktop & Cloud: 00:04:00 •Understanding datasets & reports: 00:03:00 •Working on reports: 00:04:00 •Updating reports from Power BI Desktop: 00:04:00 •Creating and working with workspaces: 00:07:00 •Installing & using a data gateway: 00:13:00 •Get Quick Insights: 00:03:00 •Creating dashboards: 00:04:00 •Sharing our results through Apps: 00:10:00 •Power BI Mobile App: 00:05:00 •Creating the layout for the Mobile App: 00:04:00 •Wrap up - Power BI Cloud: 00:07:00 •Introduction: 00:03:00 •Creating a Row-Level Security: 00:05:00 •Row-Level Security in the Cloud: 00:04:00 •Row-Level Security & Data Model: 00:05:00 •Dynamic Row-Level Security: 00:07:00 •Dynamic Many-to-Many RLS: 00:04:00 •Hierarchical Row-Level Security: 00:13:00 •JSON & REST API: 00:10:00 •Setting up a local MySQL database: 00:14:00 •Connecting to a MySQL database in Power BI: 00:05:00 •Connecting to a SQL database (PostgreSQL): 00:05:00 •Congratulations & next steps: 00:06:00 •The End: 00:01:00 •Resources - Data Visualization and Reporting with Power BI: 00:00:00
Overview This comprehensive course on Complete Microsoft Power BI 2021 will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Complete Microsoft Power BI 2021 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 Complete Microsoft Power BI 2021. It is available to all students, of all academic backgrounds. Requirements Our Complete Microsoft Power BI 2021 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 15 sections • 140 lectures • 14:25:00 total length •Welcome!: 00:01:00 •What is Power BI?: 00:03:00 •Download & Installing Power BI Desktop: 00:04:00 •Getting to know the interface: 00:03:00 •Mini Project: Transform Data: 00:07:00 •Mini Project: Visualize Data: 00:05:00 •Mini Project: Creating a Data Model: 00:07:00 •Course Outline: What will you learn in this course?: 00:05:00 •How to learn best with this course?: 00:03:00 •Creating our initial project file: 00:04:00 •Working with the attached project files: 00:04:00 •Exploring the Query Editor: 00:06:00 •Connecting to our data source: 00:07:00 •Editing rows: 00:08:00 •Changing data types: 00:08:00 •Replacing values: 00:03:00 •Close & Apply: 00:03:00 •Connecting to a csv file: 00:03:00 •Connecting to a web page: 00:05:00 •Extracting characters: 00:06:00 •Splitting & merging columns: 00:09:00 •Creating conditional columns: 00:06:00 •Creating columns from examples: 00:09:00 •Merging Queries: 00:17:00 •Pivoting & Unpivoting: 00:06:00 •Appending Queries: 00:08:00 •Practice & Solution: Population table: 00:15:00 •The Fact-Dimension-Model: 00:09:00 •Practice: Load the dimension table: 00:04:00 •Organizing our queries in groups: 00:03:00 •Entering data manually: 00:05:00 •Creating an index column: 00:03:00 •Workflow & more transformations: 00:05:00 •Module summary: 00:05:00 •Exercise 1 - Instruction: 00:02:00 •Exercise 1 - Exercise Solution: 00:11:00 •Advanced Editor - Best practices: 00:09:00 •Performance: References vs. Duplicating: 00:10:00 •Performance: Enable / Disable Load & Report Refresh: 00:05:00 •Group by: 00:05:00 •Mathematical Operations: 00:05:00 •Run R Script: 00:15:00 •Using Parameters to dynamically transform data: 00:06:00 •M formula language: Basics: 00:07:00 •M formula language: Values, Lists & Tables: 00:14:00 •M formula language: Functions: 00:13:00 •M formula language: More functions & steps: 00:05:00 •Exercise 2 - Instructions: 00:01:00 •Exercise 2 - solution: 00:05:00 •Understanding the relationship: 00:05:00 •Create & edit relationships: 00:06:00 •One-to-many & one-to-one relationship: 00:06:00 •Many-to-many (m:n) relationship: 00:08:00 •Cross filter direction: 00:06:00 •Activate & deactivate relationships: 00:06:00 •Model summary: 00:03:00 •Exercise 3 Create Model: 00:02:00 •Exercise 3 Solution: 00:02:00 •Our first visual: 00:08:00 •The format tab: 00:12:00 •Understanding tables: 00:10:00 •Conditional formatting: 00:09:00 •The Pie Chart: 00:06:00 •All about the filter visual: 00:13:00 •The filter pane for developers: 00:09:00 •Cross filtering & edit interactions: 00:04:00 •Syncing slicers across pages: 00:07:00 •Creating drill downs: 00:08:00 •Creating drill throughs: 00:07:00 •The tree map visual: 00:07:00 •The decomposition tree: 00:05:00 •Understanding the matrix visual: 00:05:00 •Editing pages: 00:07:00 •Buttons & Actions: 00:09:00 •Bookmarks to customize your report: 00:10:00 •Analytics and Forecasts with line charts: 00:10:00 •Working with custom visuals: 00:07:00 •Get data using R Script & R Script visual: 00:08:00 •Asking questions - Q&A visual: 00:04:00 •Wrap up - data visualization: 00:08:00 •Python in Power BI - Plan of attack: 00:03:00 •Setting up Python for Power BI: 00:03:00 •Transforming data using Python: 00:11:00 •Creating visualizations using Python: 00:08:00 •Violin plots, pair plots & ridge plots using Python: 00:15:00 •Machine learning (BayesTextAnalyzer) using Python: 00:00:00 •Performance & Troubleshooting: 00:03:00 •Introduction: 00:01:00 •Show Empathy & Identify the Requirement: 00:03:00 •Finding the Most Suitable KPI's: 00:02:00 •Choose an Effective Visualization: 00:04:00 •Make Use of Natural Reading Pattern: 00:03:00 •Tell a Story Using Visual Cues: 00:05:00 •Avoid Chaos & Group Information: 00:02:00 •Warp Up - Storytelling with Data: 00:02:00 •Introduction: 00:03:00 •The project data: 00:04:00 •Measures vs. Calculated Columns: 00:15:00 •Automatically creating a date table in DAX: 00:08:00 •CALENDAR: 00:05:00 •Creating a complete date table with features: 00:04:00 •Creating key measure table: 00:03:00 •Aggregation functions: 00:06:00 •The different versions of COUNT: 00:14:00 •SUMX - Row based calculations: 00:09:00 •CALCULATE - The basics: 00:11:00 •Changing the context with FILTER: 00:07:00 •ALL: 00:08:00 •ALL SELECTED: 00:03:00 •ALL EXCEPT: 00:07:00 •How to go on now?: 00:03:00 •Power BI Pro vs Premium & Signing up: 00:04:00 •Exploring the interface: 00:04:00 •Discovering your workspace: 00:03:00 •Connecting Power BI Desktop & Cloud: 00:04:00 •Understanding datasets & reports: 00:03:00 •Working on reports: 00:04:00 •Updating reports from Power BI Desktop: 00:04:00 •Creating and working with workspaces: 00:07:00 •Installing & using a data gateway: 00:13:00 •Get Quick Insights: 00:03:00 •Creating dashboards: 00:04:00 •Sharing our results through Apps: 00:10:00 •Power BI Mobile App: 00:05:00 •Creating the layout for the Mobile App: 00:04:00 •Wrap up - Power BI Cloud: 00:07:00 •Introduction: 00:03:00 •Creating a Row-Level Security: 00:05:00 •Row-Level Security in the Cloud: 00:04:00 •Row-Level Security & Data Model: 00:05:00 •Dynamic Row-Level Security: 00:07:00 •Dynamic Many-to-Many RLS: 00:04:00 •Hierarchical Row-Level Security: 00:13:00 •JSON & REST API: 00:10:00 •Setting up a local MySQL database: 00:14:00 •Connecting to a MySQL database in Power BI: 00:05:00 •Connecting to a SQL database (PostgreSQL): 00:05:00 •Congratulations & next steps: 00:06:00 •The End: 00:01:00 •Resources - Complete Microsoft Power BI 2021: 00:00:00
Overview of QuickBooks Bookkeeping Diploma In today's fast-paced business world, mastering QuickBooks bookkeeping is your ticket to a thriving career in finance. The UK's accounting sector is booming, with over 340,000 professionals contributing to its £17.7 billion market value. As businesses increasingly rely on digital solutions, the demand for skilled bookkeepers continues to soar. Our QuickBooks Bookkeeping Diploma equips you with the tools to navigate this dynamic landscape. From setting up systems to generating comprehensive financial reports, you'll gain the expertise to streamline accounting processes and drive business success. With QuickBooks proficiency, you'll be at the forefront of modern bookkeeping practices. Embrace this opportunity to elevate your career prospects and become an indispensable asset to any organisation. Whether you're starting your journey or enhancing existing skills, this course paves the way for a rewarding future in bookkeeping. Join us and unlock the potential of QuickBooks to revolutionise financial management. Get a Quick Look at The Course Content: This QuickBooks Bookkeeping Diploma Course will help you to learn: Confidently navigate the QuickBooks interface and utilise key functionalities. Master the art of setting up accounts, ledgers, and VAT processes. Manage customer and supplier relationships with accuracy and efficiency. Process sales, purchases, and other financial transactions with ease. Reconcile bank statements and maintain meticulous financial records. Generate insightful reports and gain valuable financial insights. This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this QuickBooks Bookkeeping Diploma. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the QuickBooks Bookkeeping Diploma course, you can order your CPD Accredited Digital / PDF Certificate for £5.99. Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? Aspiring bookkeepers seeking a recognised skills. Business owners and managers looking to improve their financial literacy. Individuals seeking a career change in finance and accounting. Employees are seeking to advance their skills and knowledge in QuickBooks. Is anyone interested in gaining hands-on experience with leading accounting software? Requirements You don't need any educational qualification or experience to enrol in the QuickBooks Bookkeeping Diploma course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this QuickBooks Bookkeeping Diploma Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Bookkeeper - £22K to £36K/year Accounting Assistant - £20K to £31K/year Payroll Administrator - £25K to £38K/year Finance Assistant - £22K to £28K/year Freelance Bookkeeper - £30K to £45K/year Course Curriculum Getting prepared - access the software and course materials Set up free trial 00:03:00 Getting started Starting A New Company File 00:11:00 Setting up the system Enter opening balances 00:02:00 Reverse opening balances - accruals and prepayments 00:06:00 Report Journal 00:05:00 Nominal ledger Amend The Nominal Ledger 00:07:00 Report listing the nominal ledgers 00:02:00 Customers Enter customers 00:09:00 Report on customer contact information 00:01:00 Suppliers Enter Suppliers 00:05:00 Supplier Contact List 00:02:00 Sales ledger Enter Invoices 00:09:00 Invoice Entering 00:03:00 Invoice batch 00:06:00 Post Sales Credit Notes 00:08:00 Report showing Customer Activity 00:03:00 Aged Debtors 00:02:00 Purchases ledger Post Supplier Invoices 00:03:00 Entering a Batch of Supplier Bills 00:09:00 Credit Notes Suppliers 00:05:00 Reclassify Supplier Bills - Flash Bulbs Purchased 00:04:00 Supplier Account Activity Report 00:04:00 Sundry payments Post Cheques 00:07:00 Report showing supplier payments 00:01:00 Sundry receipts Receipts from customers 00:07:00 Report showing customer receipts 00:02:00 Petty cash Post Petty Cash Transactions and Report 00:04:00 Post cash payments to ledgers 00:02:00 Enter petty cash items 00:14:00 Report on Petty Cash Payments Proper 00:05:00 Post Sundry Payments 00:05:00 Report Bank Payments 00:03:00 VAT - Value Added Tax VAT Return 00:03:00 Bank reconciliation Reconcile The Bank 00:10:00 Provide A Report Showing Any Unreconnciled Transaction 00:02:00 Payroll / Wages Post the Wages Journal 00:08:00 Posting Journal Adjustments 00:02:00 Reports Month end adjustments 00:03:00 Month end reports 00:06:00 Tasks Task- Crearing the accounts 00:06:00 Task - Customer report 00:01:00 Additional Resources Course Paper 00:00:00 Further Reading - QuickBooks Online 2014 The Handbook 00:00:00 Course Certification Order Your Certificate 00:00:00 Refer a Friend Refer a Friend and Claim One Course for FREE 00:00:00