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When you enrol in Account Management Online Training, you'll receive 25 CPD-Accredited PDF Certificates, Hard Copy Certificates, and our exclusive student ID card, all absolutely free. Courses Are Included In this Account Management Career Bundle: Course 01: Business Accounting Training Course 02: Accounting and Finance Course 03: Finance Principles Course 04: Financial Analysis Course 05: Quickbooks Online Course 06: Xero Accounting and Bookkeeping Online Course 07: Microsoft Excel & Accounting Training Course 08: Financial Statement Analysis Masterclass Course 09: Corporate Finance: Profitability in a Financial Downturn Course 10: Tax Accounting Course 11: Level 3 Diploma in Anti-Money Laundering (AML) Course 12: Key Account Management (KAM) Certificate Course 13: Customer Relationship Management (CRM) Training Course 14: Communication Skills Masterclass Course 15: Capital Budgeting & Investment Decision Rules Course 16: Internal Audit Skills Diploma Course 17: Debt Management - Online Course Course 18: Financial Wellness: Managing Personal Cash Flow Course 19: Corporate Finance: Working Capital Management Course 20: Business Management and Finance Course Course 21: Sage 50 Accounts Training Course 22: Payroll Manager and HR Management Course 23: Financial Modeling Course 24: Budget Analysis and Financial Report Building Course 25: Leadership & Management Diploma Don't let this opportunity pass you by. Enrol in Account Management today and take the first step towards achieving your goals and dreams. Learning Outcomes of Account Management Analyze financial statements to identify key performance indicators (KPIs). Master financial accounting principles and taxation concepts. Implement effective CRM strategies to build strong client relationships. Develop strong communication skills to build rapport and trust with clients. Apply key account management techniques to retain high-value clients. Utilize financial tools like QuickBooks and Xero to streamline accounting processes. Why Choose Us? Get a Free CPD Accredited Certificate upon completion of Account Management Get a free student ID card with Account Management Training program (£10 postal charge will be applicable for international delivery) The Account Management is affordable and simple to understand This course is entirely online, interactive lesson with voiceover audio Get Lifetime access to the Account Management course materials The Account Management comes with 24/7 tutor support Start your learning journey straightaway! *** Course Curriculum *** Course 01: Business Accounting Training Professional Bookkeeper Introduction Introduction To Accounting And Business The Accounting Equation Analysing Transactions Entering Information - Posting Entries Adjusting Process Adjusting Entries Adjustment Summary Preparing A Worksheet Financial Statements Completing The Accounting Cycle The Accounting Cycle Illustrated Fiscal Year Course 02: Accounting and Finance Module 01: Introduction To Accounting Module 02: The Role Of An Accountant Module 03: Accounting Concepts And Standards Module 04: Double-Entry Bookkeeping Module 05: Balance Sheet Module 06: Income Statement Module 07: Financial Statements Module 08: Cash Flow Statements Module 09: Understanding Profit And Loss Statement Module 10: Financial Budgeting And Planning Module 11: Auditing Course 03: Finance Principles Section 01: Finance And Free Market Economies Section 02: Corporate Finance Section 03: Company Stock Valuation & Derivatives Section 04: Option Valuation: Fundamentals Vs. Technical Analysis Section 05: Financial Forecasting =========>>>>> And 22 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: Free (Previously, it was £12.99*25 = £325) CPD Hard Copy Certificate: Free (For The Title Course: Previously it was £29.99) CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Account Management course is ideal for: Students seeking mastery in Account Management Professionals seeking to enhance Account Management skills Individuals looking for an Account Management-related career. Anyone passionate about Account Management Requirements This Account Management doesn't require prior experience and is suitable for diverse learners. Career path This Account Management bundle will allow you to kickstart or take your career in the related sector to the next stage. Account Executive Client Manager Key Account Manager Business Development Financial Analyst Certificates CPD Accredited Digital certificate Digital certificate - Included CPD Accredited Hard copy certificate Hard copy certificate - Included If you are an international student, then you have to pay an additional 10 GBP for each certificate as an international delivery charge.
Description CRYPTOCURRENCIES ARE SUPER INTERESTING AND EXCITING. They are based on a very clever and exciting new technology called the 'BLOCKCHAIN'. As you'll learn in this course, the Blockchain may have as large of an impact on the world as the internet and PC has had over the past several decades. BUT, Bitcoin and Cryptocurrencies are extremely dangerous 'investments' and actually shouldn't even be thought of as an 'asset class' worthy of your money, if your goal is to build wealth. IN THIS COURSE, YOU WILL LEARN: Why Bitcoin and Cryptocurrencies make such a bad investment How to invest safely and responsibly to build wealth over time without taking virtually ANY risk How to think about CAPITAL ALLOCATION How to understand the fundamentals of the stock market, real estate, gold, and other asset classes How the Blockchain works and why it's getting so much hype What the Blockchain may be able to do for the world outside of investments How to AVOID LOSING MONEY on any investment Much more JOIN THE COURSE, AND LEARN HOW TO BUILD WEALTH SUCCESSFULLY AND WHY YOU SHOULD ABSOLUTELY STAY AWAY FROM INVESTING IN BITCOIN AND CRYPTOCURRENCY! What Will I Learn? How to analyze investments Why cryptocurrencies are a dangerous investment Why investing in cryptocurrencies is just gambling How to avoid losing money investing in cryptocurrencies How to measure the intrinsic value of an investment Who is the target audience? People that want to learn about Cryptocurrencies Anyone who wants to learn about investing and building wealth safely Requirements Basic knowledge of financial principles Introduction Introduction : Bitcoin and Cryptocurrency: Don't Believe the Bitcoin Hype 00:07:00 The Greatest Investor in the World on Cryptocurrency 00:06:00 The Problem with Bitcoin 00:05:00 The Risk of Hacking 00:04:00 Speculating (i.e. Gambling) vs Investing Why It Cannot Be Valued 00:08:00 Why It Violates Fundamental Investing Principles 00:07:00 What Supply and Demand Have to Say 00:05:00 Value Investing Made Simple Safety of Principal and an Adequate Return 00:14:00 Introducing 'Mr. Market' 00:09:00 Holistic Investment Analysis 00:16:00 The Margin of Safety Principle 00:13:00 Benefits of the Technology How to benefit from Blockchain Technology 00:07:00 What Does History Tell Us? 00:08:00 Where Do We Go From Here? 00:05:00 Conclusion Conclusion : Bitcoin and Cryptocurrency: Don't Believe the Bitcoin Hype 00:04:00 Mock Exam Final Exam
Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights. Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? 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 Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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 Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00
This course on Information and Communication Technology (ICT) provides a comprehensive understanding of emerging technologies, input and output devices, storage media, networks, databases, and expert systems. It covers various ICT applications and their impact on society and businesses. Learning Outcomes: Understand the impact of emerging technologies on the field of ICT. Identify and describe different types of input and output devices used in computing. Familiarize with various storage devices and media and their applications. Gain knowledge about computer networks and their configurations. Explore the fundamentals of database systems and their importance in data management. Learn about expert systems and their role in decision-making processes. Discover practical ICT applications and their relevance in various domains. Why buy this ICT: Information and Communication Technology? 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 ICT: Information and Communication Technology 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 course for? This ICT: Information and Communication Technology 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 ICT: Information and Communication Technology does not require you to have any prior qualifications or experience. You can just enrol and start learning.This ICT: Information and Communication Technology 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 ICT: Information and Communication Technology is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Introduction Introduction 00:06:00 What is ICT? 00:05:00 Hardware and Software 00:08:00 Information Processing Cycle 00:05:00 Software Explained 00:06:00 Human-Computer -Interface 00:07:00 Section 02: Impact of Emerging Technologies Introduction-Impact of Emerging Technology 00:01:00 Artificial intelligence 00:03:00 Biometrics 00:03:00 Vision enhancement 00:02:00 Robotics 00:03:00 Quantum cryptography 00:03:00 Computer-assisted translation 00:02:00 3D and holographic imaging 00:03:00 Virtual reality 00:06:00 Section 03: Types of Input Devices Types of Input Devices - Introduction 00:02:00 Manual input 00:07:00 Pointing devices 00:02:00 Inputting Images Devices 00:08:00 Inputting Sound & Music Devices 00:05:00 Direct input systems 00:07:00 Direct Input systems Part-2 00:05:00 Direct Input Systems Part-3 00:06:00 Direct Input Systems devices. Part-4 00:04:00 Sensors 00:05:00 Section 04: Types of Output Devices Types of Input Devices - Introduction 00:02:00 Monitors 00:06:00 Printers 00:08:00 Plotters 00:03:00 3D Printers 00:04:00 Speakers 00:02:00 Control Devices 00:06:00 Section 05: Storage Devices and Media Types of Storage Devices and Media 00:06:00 Magnetic Media 00:06:00 Optical media 00:10:00 Solid-State media 00:04:00 Backups 00:02:00 Section 06: Networks WHAT IS COMPUTER COMMUNICATION? 00:02:00 What is a computer network? 00:07:00 Types of NETWORK- Local Area Network 00:07:00 Wide Area Network 00:07:00 Bluetooth and WI-FI in Networks 00:07:00 Network Hardware 00:03:00 Network Switch 00:05:00 Network Bridge 00:02:00 Networking Hardware Router 00:05:00 Modem 00:04:00 Network Cables 00:03:00 How to set up a small network? 00:07:00 Section 07: Database What is a Database? 00:03:00 Database File 00:04:00 Database Types 00:09:00 Using Database 00:06:00 Data validation and verification 00:10:00 Section 08: Expert Systems What is an expert system? 00:10:00 Section 09: ICT Applications Applications in Banking: ATM, Electronic Fund Transfer 00:04:00 Applications in Banking: Internet Banking Telephone Banking 00:04:00 Applications in Banking: Cheque Clearing 00:05:00 RETAIL INDUSTRY Applications: POS 00:05:00 Retail: Stock Control 00:04:00 Retail: Automatic Reordering of Stock 00:03:00 Assignment Assignment - ICT: Information and Communication Technology 00:00:00