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Understand the needs and benefits arising from a structured project risk management approach, the process and supporting methods for identifying analysing and responding to risks. Course overview Duration: 2 day (13 hours) Our Project Risk Management course addresses risk management throughout the project lifecycle. This course is designed for project staff, including project leaders, sponsors, project team members, support staff and functional staff involved in project activity. The workshop is especially suited to teams working on bids, feasibility and project start up. The workshop covers the need and benefits arising from a structured project risk management approach, the process and supporting methods for identifying analysing and responding to risks, human behavioural factors affecting risk management performance, and organisational interfaces and governance requirements. Objectives  By the end of the course you will be able to: Describe success factors and benefits arising from effective risk management Explain human behaviour factors affecting risk management Establish the project context and conduct an initial risk assessment Define an appropriate strategy and produce a risk management plan Define risk identification strategies and apply appropriate identification methods Identify and record important risk information including ownership Establish risk probability and impact levels; produce probability impact charts and severity time charts Establish exposure levels and contingency requirements Explain the principles of quantitative analysis Define and evaluate response options Implement effective risk management process control Content Principles of risk management Terminology Purpose Success factors Benefits and overall process Human factors that impact on risk management Initiate Analyse and determine context factors relevant to risk management Develop a robust risk management strategy for the life of the project How to conduct an initial risk assessment and define an outline strategy Identification Development of a risk identification strategy Appropriate methods and their strengths and weaknesse Determine an appropriate strategy and identify risks in a given case study Animating text Slide titles Bullet points Applying animation to Slide Master Assessment Methods commonly used for assessing and prioritising risks Evaluating exposure and contingency requirement Demonstration of quantitative methods and exercises to assess risks and contingency levels Planning and implementing responses Appropriate methods for responding to risks Defining implementation and control plans Assigning ownership Defining appropriate plans Conducting net benefits analysis and examining effectiveness Manage process Organisational interfaces and specific requirements to ensure appropriate controls Improvements and compliance with governance requirements

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm

Duration 5 Days 30 CPD hours This course is intended for This course is recommended for IT Professionals and Consultants. Overview Identify risks and areas for improvement in a Citrix Virtual Apps and Desktops environment by assessing relevant information in an existing deployment. Determine core Citrix Virtual Apps and Desktops design decisions and align them to business requirements to achieve a practical solution. Design a Citrix Virtual Apps and Desktops disaster recovery plan and understand different disaster recovery considerations. This advanced 5-day training course teaches the design principles for creating a Citrix Virtual Apps and Desktops virtualization solution. In this training, you will also learn how to assess existing environments, explore different scenarios, and make design decisions based on business requirements. This course covers the Citrix Consulting approach to design and covers the key design decisions through lectures, lab exercises, and interactive discussions. You will also learn about additional considerations and advanced configurations for multi-location solutions and disaster recovery planning. This training will help you prepare for the Citrix Certified Expert in Virtualization (CCE-V) exam. Module 1: Methodology & Assessment The Citrix Consulting Methodology Citrix Consulting Methodology Use Business Drivers Prioritize Business Drivers User Segmentation User Segmentation Process App Assessment Introduction App Assessment Analysis Why Perform a Capabilities Assessment? Common Capabilities Assessment Risks Module 2: User Layer Endpoint Considerations Peripherals Considerations Citrix Workspace App Version Considerations Citrix Workspace App Multiple Version Considerations Network Connectivity and the User Experience Bandwidth and Latency Considerations Graphics Mode Design Considerations HDX Transport Protocols Considerations Media Content Redirection Considerations Session Interruption Management Session Reliability Feature Considerations Session Interruption Management Auto-Client Reconnect Feature Considerations Session Interruption Management ICA Keep-Alive Feature Considerations Module 3: Access Layer Access Matrix Access Layer Access Layer Communications Double-Hop Access Layer Considerations Citrix Cloud Access Layer Considerations Use Cases for Multiple Stores Define Access Paths per User Group Define Number of URLs Configuration and Prerequisites for Access Paths Citrix Gateway Scalability Citrix Gateway High Availability StoreFront Server Scalability StoreFront Server High Availability Module 4: Resource Layer - Images Flexcast Models VDA Machine Scalability VDA Machine Sizing with NUMA VDA Machine Sizing VDA Machine Scalability Cloud Considerations Scalability Testing and Monitoring Secure VDA Machines Network Traffic Secure VDA Machines Prevent Breakouts Secure VDA Machines Implement Hardening Secure VDA Machines Anti-Virus Review of Image Methods Citrix Provisioning Overall Benefits and Considerations Citrix Provisioning Target Device Boot Methods Citrix Provisioning Read Cache and Sizing Citrix Provisioning Write Cache Type Citrix Provisioning vDisk Store Location Citrix Provisioning Network Design Citrix Provisioning Scalability Considerations Citrix Machine Creation Services Overall Benefits and Considerations Citrix Machine Creation Services Cloning Types Citrix Machine Creation Services Storage Locations & Sizing Citrix Machine Services Read and Write Cache App Layering Considerations Image Management Methods Module 5: Resource Layer - Applications and Personalization Application Delivery Option Determine the Optimal Deployment Method for an App General Application Concerns Profile Strategy Profile Types Review Citrix Profile Management Design Considerations Citrix Profile Management Scaling Citrix Profile Management Permissions Policies Review Optimize Logon Performance with Policies Printing Considerations Module 6: Control Layer Pod Architecture Introduction Pod Architecture Considerations Citrix Virtual Apps and Desktops Service Design Considerations Implement User Acceptance Testing Load Balancing the Machine Running the VDA Citrix Director Design Considerations Management Console Considerations Change Control Delivery Controller Scalability and High Availability Control Layer Security Configuration Logging Considerations Session Recording Module 7: Hardware/Compute Layer Hypervisor Host Hardware Considerations Separating Workloads Considerations Workload Considerations VMs Per Host and Hosts Per Pool Citrix Hypervisor Scalability VM Considerations in Azure and Amazon Web Services Storage Tier Considerations Storage I/O Considerations Storage Architecture Storage RAID & Disk Type Storage Sizing LUNs Storage Bandwidth Storage in Public Cloud Datacenter Networking Considerations Securing Hypervisor Administrative Access Secure the Physical Datacenter Secure the Virtual Datacenter Module 8: Module 8: High Availability and Multiple Location Environments Redundancy vs. Fault Tolerance vs. High Availability Multi-Location Architecture Considerations Multi-Site Architecture Considerations Global Server Load Balancing Optimal Gateway Routing Zone Preference and Failover StoreFront Resource Aggregation StoreFront Subscription Sync Hybrid Environment Options Citrix Provisioning Across Site Site Database Scalability and High Availability Citrix Provisioning Across Sites Considerations Citrix Machine Creation Across Sites App Layering Across Sites Managing Roaming Profiles and Citrix Workspace App Configurations Across Devices Profile Management Multi-Site Replication Considerations Folder Redirections and Other User Data in a Multi-Location Environment Application Data Considerations Cloud-Based Storage Replication Options Multi-Location Printing Considerations Zone Considerations Active Directory Considerations Module 9: Disaster Recovery Tiers of Disaster Recovery Disaster Recovery Considerations Business Continuity Planning and Testing Citrix Standard of Business Continuity

Develop your graphic design skills and learn the professional Photoshop tools and techniques Get confident with your camera Have you always wanted to learn more about photography? Do you want to learn the ins and outs of taking professional photos? Look no further! With this photography course, you will learn it all. Get to know different genres, styles, and approaches to photographyy as well as the indispendable technical knowledge and practical skills ready-to-use in your everyday work. This course will take you from beginner to competent photographer with the guidance of some of the best photographers in the industry. Whether you love photography as a hobby, want to be a professional studio photographer, or want the best shots for social media profiles, this course has it all. From this photography course, you will learn the basics of photography and build a foundation of knowledge before progressing to more advanced photography skills. This training is designed for complete beginners as well as those with prior knowledge of some photography concepts who would like to take their understanding deeper. You will learn about everything from camera kit and equipment to composition and working with light. Everything you learn is instantly aplicable to your photography work. Get the knowledg, test your skills and produce high-quality professional photographs. Our photography course experts have compiled their best tips to offer you the most comprehensive photography course. After taking this course you will be comfortable working with different cameras and using them to produce different types of photography. Whether you are new to photography or want to improve your existing skills, this photography course will help you develop the ability to create and share digital images that you can be proud of. You will also develop your technical and visual skills with the help of the tasks on the course to reach a professional working level where you can offer high-quality photography to your clients. The course is a creative mix of learning and practicing through tasks that will strengthen your photographic experience and help you build your first portfolio. The course is full of invaluable content and presented in an easy-to-follow format.  What will you learn from this course? Basic and advanced knowledge of photography Camera equipment Working with light Technical and visual skills in photography Basic knowledge of different branches of photography Who is this course for? Anyone who wants to improve their skills in photography Influencers, social media specialists or graphic designers Anyone who wants to be a professional photographer Or people who want to have great photos from their holidays The world of photography has exploded in recent years and with the forever-growing presence of social media and other platforms, it is set to continue that way. Getting the right shot is important and more and more people are taking a keen interest in photography. If you are one of those people, then you are in the right place! Our photography course is one of the most comprehensive courses that cover all of the basics while teaching advanced photography concepts too. The material shared in the course is developed and designed by experts and covers a wide range of photography topics that will allow you to explore and understand concepts on a deeper level. The course package contains extensive material presented in an engaging format and you will be learning by using specific examples, knowledge repetitions, and varied practical tasks along with a final exam. The course is available to anyone, anywhere, and is delivered on the Kemp Center advanced e-learning platform. It’s time to bring your photos to a whole new level! Join the photography course and get the benefits: Learning from a professional instructor24/7 access from any devicePractical exercisesTests, quizzes and recapsCertificate of completionExtra materials and downloadable bonuses100% satisfaction guarantee Your Singing Instructor: Martin Lee Photographer The course is led by well-known photographers who have been recognized for his outstanding work on projects around the world. Our course instructor has many years of experience working in the photography industry and will be sharing all of his knowledge on everything they have learnt along the way. Our expert has specialized in commercial, fashion, food, portrait and lifestyle photography over the years. He has all of the top tips about working in the industry and have combined their expertise and knowledge to produce an in-depth training so you don’t miss a trick. With the help from our expert you will be guided through all of the necessary techniques and processes required to set yourself apart in a world of constant photography and digital stimulation. He will give you all of the hints and tips about using photography both as a hobby or beginning your professional career and how to break into the industry. Martin has led many photography courses and is passionate about shaping other photographers in the industry to keep up to date with current and emerging trends. Overview of the course: Detailed video presentations 1. Essential knowledge of photography Fundamental photography knowledge Equipment and how to choose the right one that suits your needs and the set Photography scenarios, parameters, features, and settings How to turn your passion into a profession – find success in photography Training videos 1. Photography in practice Working with professional photography studios: Lightroom and Photoshop Creating different types of photography: portrait photography, landscape photography, macro photography Tests 1. Tests and revision of acquired knowledge Basic knowledge of photography Knowledge of specific photography-related aspects and components 2. Final Exam Final test Summary of previously presented knowledge and tasks Course materials Book of Inspiration Best cameras for beginners Wildlife photography- a practical guide How to work with a model during a session Additional materials for use in everyday photography Experience Beginner-IntermediateLanguage English, German, French, Polish, Portuguese A letter from your expert instructor We are pleased to introduce you to a photography course that will change your outlook on this field. This is a course where the instructor is a practitioner, not a theorist, which will allow you to gain practical photography skills.Among other things, you will learn how to use your camera in the right way to be able to get the best pictures out of it. You will also learn about basic processing in Lightroom or Photoshop.With this course, you will learn the basics of photography. What is ISO? How do you catch the light? What are the differences between different types of photography and how to take them correctly? The answers to these questions are included in this course.You will gain solid knowledge that you can back up with a certificate that you receive in hard copy and online.Gain skills for taking better photos with the help of an instructor. See you on the course! Martin Lee – Photographer

The course is crafted to reflect the in-demand skills in the marketplace that will help you in mastering the key concepts and methodologies of RL and deep RL, along with several practical implementations. This course will help you know the theory and practical aspects of reinforcement and deep reinforcement learning.

Supporting and engaging with different parts of the organisation and interact with internal or external customer.

This course aims to equip you with the skills to create an operational mobile Instagram app feed using React Native and ChatGPT. Additionally, it offers comprehensive resources to develop a well-rounded project that you can showcase as a prototype upon completion. You will use all the latest and trending tools for application development from scratch.

Dive into the intricate world of numbers and data with our comprehensive 'Microsoft Excel & Accounting Training' course. Begin your journey by mastering the foundational elements of Microsoft Office Excel 2016, from the basics of worksheet modifications to the art of data visualisation using charts. As you progress, pivot your attention towards the meticulous realm of accounting. Here, you'll unravel the secrets of the accounting equation, immerse yourself in transaction analyses, and culminate your learning by understanding the complete accounting cycle. Whether you're looking to enhance your data management skills or embark on a career in accounting, this course is your stepping stone to success. Learning Outcomes: Acquire proficiency in utilising Microsoft Excel 2016 for data analysis, visualisation, and workbook management. Understand the core principles of accounting, including the accounting equation and transaction analysis. Demonstrate the ability to prepare financial statements and complete the accounting cycle. Implement advanced Excel features such as PivotTables, PivotCharts, and Lookup Functions. Apply knowledge in real-world scenarios, including fiscal year evaluations and spreadsheet exercises. Why buy this Microsoft Excel & Accounting Training? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Microsoft Excel & Accounting Training Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience Who is this Microsoft Excel & Accounting Training course for? Individuals aiming to bolster their data analysis and management capabilities. Aspiring accountants keen on understanding the fundamentals of the profession. Business owners desiring a deeper grasp of financial statements and accounting cycles. Students pursuing a career in finance or data management. Professionals looking to integrate Excel functionalities into their daily tasks. Career path Data Analyst: Average salary range: £25,000 - £40,000 Annually Accountant: Average salary range: £28,000 - £52,000 Annually Financial Controller: Average salary range: £40,000 - £70,000 Annually Management Accountant: Average salary range: £30,000 - £55,000 Annually Excel Specialist: Average salary range: £22,000 - £35,000 Annually Bookkeeper: Average salary range: £18,000 - £30,000 Annually Prerequisites This Microsoft Excel & Accounting Training does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Microsoft Excel & Accounting Training 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum **Microsoft Excel** Getting Started with Microsoft Office Excel 2016 Navigate the Excel User Interfact 00:28:00 Use Excel Commands 00:10:00 Create and Save a Basic Workbook 00:19:00 Enter Cell Data 00:12:00 Use Excel Help 00:05:00 Performing Calculations Create Worksheet Formulas 00:15:00 Insert Functions 00:17:00 Reuse Formulas and Functions 00:17:00 Modifying a Worksheet Insert, Delete, and Adjust Cells, Columns, and Rows 00:10:00 Search for and Replace Data 00:09:00 Use Proofing and Research Tools 00:07:00 Formatting a Worksheet Apply Text Formats 00:16:00 Apply Number Format 00:07:00 Align Cell Contents 00:09:00 Apply Styles and Themes 00:12:00 Apply Basic Conditional Formatting 00:11:00 Create and Use Templates 00:08:00 Printing Workbooks Preview and Print a Workbook 00:10:00 Set Up the Page Layout 00:09:00 Configure Headers and Footers 00:07:00 Managing Workbooks Manage Worksheets 00:05:00 Manage Workbook and Worksheet Views 00:07:00 Manage Workbook Properties 00:06:00 Working with Functions Work with Ranges 00:18:00 Use Specialized Functions 00:11:00 Work with Logical Functions 00:23:00 Work with Date & Time Functions 00:08:00 Work with Text Functions 00:11:00 Working with Lists Sort Data 00:10:00 Filter Data 00:10:00 Query Data with Database Functions 00:09:00 Outline and Subtotal Data 00:09:00 Analyzing Data Create and Modify Tables 00:16:00 Apply Intermediate Conditional Formatting 00:07:00 Apply Advanced Conditional Formatting 00:05:00 Visualizing Data with Charts Create Charts 00:13:00 Modify and Format Charts 00:12:00 Use Advanced Chart Features 00:12:00 Using PivotTables and PivotCharts Create a PivotTable 00:13:00 Analyze PivotTable Data 00:12:00 Present Data with PivotCharts 00:07:00 Filter Data by Using Timelines and Slicers 00:11:00 Working with Multiple Worksheets and Workbooks Use Links and External References 00:12:00 Use 3-D References 00:06:00 Consolidate Data 00:05:00 Using Lookup Functions and Formula Auditing Use Lookup Functions 00:12:00 Trace Cells 00:09:00 Watch and Evaluate Formulas 00:08:00 Sharing and Protecting Workbooks Collaborate on a Workbook 00:19:00 Protect Worksheets and Workbooks 00:08:00 Automating Workbook Functionality Apply Data Validation 00:13:00 Search for Invalid Data and Formulas with Errors 00:04:00 Work with Macros 00:18:00 Creating Sparklines and Mapping Data Create Sparklines 00:07:00 MapData 00:07:00 Forecasting Data Determine Potential Outcomes Using Data Tables 00:08:00 Determine Potential Outcomes Using Scenarios 00:09:00 Use the Goal Seek Feature 00:04:00 Forecasting Data Trends 00:05:00 **Accounting Training** Professional Bookkeeper Introduction Professional Bookkeeper 00:09:00 Introduction to Accounting and Business Defining a Business 00:07:00 Ethics in Accounting 00:05:00 Generally Accepted Accounting Principles (GAAP) 00:10:00 The Accounting Equation The Accounting Equation 00:07:00 Transactions 00:11:00 Financial Statements 00:13:00 Analyzing Transactions The Accounting Equation and Transactions 00:16:00 Double-Entry System 00:11:00 Transactions - Journalizing 00:17:00 Journal Entries 00:38:00 Entering Information - Posting Entries Posting Entries 00:10:00 The Trial Balance 00:10:00 Finding Errors Using Horizontal Analysis 00:09:00 Horizontal Trend : Balance Sheet 00:21:00 Horizontal Trend: Income Statement 00:36:00 Adjusting Process The Purpose of the Adjusting Process 00:15:00 Adjusting Entries Adjusting Entries - Prepaid Expenses 00:13:00 Adjusting Entries - Accrued Revenues 00:10:00 Adjusting Entries - Depreciation Expense 00:09:00 Adjustment Summary Adjustment Summary - Review 00:13:00 Vertical Analysis 00:33:00 Preparing a Worksheet Preparing a Worksheet 00:06:00 Financial Statements The Income Statement 00:11:00 Financial Statements - Definitions 00:12:00 Completing the Accounting Cycle Temporary vs. Permanent Account 00:19:00 The Accounting Cycle Illustrated Accounting Cycle Illustrated - Steps 1-5 00:11:00 Accounting Cycle Illustrated - Steps 6-10 00:12:00 Fiscal Year Fiscal Year 00:09:00 Spreadsheet Exercise Spreadsheet Exercise - Steps 1-4 00:11:00 Spreadsheet Exercise - Steps 5-7 00:37:00

A complete practical React and Python Flask full-stack web development Bootcamp with JavaScript, React, Python, Flask, API, Git, and VS Code. Basic software development knowledge and basic programming skills are required.

Audio Typing: Audio Typing Are you looking to boost your audio typing skills? If you are interested, you can try our comprehensive audio typing course. Participants of the audio typing course learn touch typing techniques and improve listening skills. Moreover, the audio typing course, students familiarise themselves with transcription software. The audio typing curriculum includes exercises to enhance typing speed and accuracy. Additionally, the audio typing course describes strategies for managing complex audio recordings. Students in audio typing course also gain knowledge about formatting, proofreading, and editing transcribed documents. Through this audio typing course, you can prepare for roles in transcription services across various industries. Join our audio typing course to learn the necessary skills for transcribing spoken words into written text efficiently and accurately. Learning outcome of audio typing course This audio typing course teaches: Introduction to audio typing and basics of audio typing. This audio typing course teaches typing techniques & speed enhancement. Audio typing text-to-speech, formatting, and guidelines for transcription are included in this audio typing course. Through the audio typing course, you can specialise in transcription and transcription tools. Quality controlling and proofreading will be taught by this comprehensive audio typing course. You will find opportunities for transcription and proficiency with homophones as part of this audio typing course. Special Offers of this Audio Typing: Audio Typing Course This Audio Typing: Audio Typing Course includes a FREE PDF Certificate. Lifetime access to this Audio Typing: Audio Typing Course Instant access to this Audio Typing: Audio Typing Course Get FREE Tutor Support to this Audio Typing: Audio Typing Course Audio Typing: Audio Typing Touch typing techniques are explained in the audio typing course. Along with improving their listening skills, participants in the audio typing course also learn how to use transcription software. Additionally, the training on audio typing includes strategies for dealing with challenging audio recordings. Additionally, typing exercises to increase accuracy and speed are covered in this audio typing course. Students that enroll in the audio typing course also learn how to format, proofread, and edit transcribed papers. Who is this course for? Audio Typing: Audio Typing Students, recent graduates, and job seekers might benefit from this audio typing course. Requirements Audio Typing: Audio Typing To enrol in this Audio Typing: Audio Typing Course, students must fulfil the following requirements. To join in our Audio Typing: Audio Typing Course, you must have a strong command of the English language. To successfully complete our Audio Typing: Audio Typing Course, you must be vivacious and self driven. To complete our Audio Typing: Audio Typing Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Audio Typing: Audio Typing Course. Career path Audio Typing: Audio Typing Many employment options, including those for audio typists, legal secretaries, medical transcriptionists, and many more, will become available with the purchase of this bundle that combines audio typing course.