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Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Recruitment: IT Basics for IT Recruiters Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Recruitment: IT Basics for IT Recruiters Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Recruitment: IT Basics for IT Recruiters Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Recruitment: IT Basics for IT Recruiters Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Recruitment: IT Basics for IT Recruiters? 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 Recruitment: IT Basics for IT Recruiters 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 Recruitment: IT Basics for IT Recruiters 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 Recruitment: IT Basics for IT Recruiters does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Recruitment: IT Basics for IT Recruiters 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 Recruitment: IT Basics for IT Recruiters is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Introduction Introduction 00:02:00 Section 02: IT Fundamentals Server 00:08:00 What is hardware and software? 00:04:00 Project Life Cycle 00:06:00 Software Development Life Cycle 00:08:00 Section 03: IT Terms / basics Methodologies: Scrum, Agile, Kanban, Waterfall, Lean 00:09:00 CMS 00:04:00 API 00:04:00 Stacks 00:03:00 Native & Hybrid Native Apps 00:02:00 CI / CD / Deployment tools 00:04:00 Section 04: IT Positions CTO 00:13:00 IT Architects 00:08:00 Product Owner 00:12:00 Product Manager 00:06:00 PO vs Product Manager 00:04:00 Project Manager 00:13:00 Product Owner vs Project Manager vs Product Manager 00:07:00 Business Analysts 00:09:00 Business Intelligence Analyst 00:06:00 Data Engineer 00:05:00 Data Scientist 00:07:00 Data Engineer vs Data Scientist 00:07:00 Agile Coach 00:14:00 Scrum Master 00:08:00 Agile Coach vs Scrum Master 00:01:00 Frontend Developer 00:06:00 Backend Developer 00:06:00 Fullstack Developer 00:04:00 Developers: Frontend, Backend and Fullstack 00:02:00 iOS Developer 00:03:00 Android Developer 00:04:00 UX Designers 00:09:00 UI Design 00:08:00 UX vs UI Design: what is the difference? 00:04:00 QA Engineers and Testers 00:09:00 System Administrators+ 00:07:00 DevOps 00:05:00 SEO Specialists: who are they? 00:10:00 Section 05: IT Technologies Programming languages and frameworks Programming Languages and Frameworks. Introduction 00:01:00 Programming languages and frameworks 00:08:00 JavaScript 00:02:00 Java 00:03:00 Python 00:01:00 C 00:02:00 C# 00:02:00 C++ 00:03:00 SWIFT 00:02:00 Objective C 00:01:00 HTML 00:02:00 PHP 00:02:00 Ruby 00:02:00 SQL 00:02:00 Go 00:01:00 R 00:01:00 Section 06: IT Technologies: Databases Database 00:05:00 Types of Databases 00:07:00 Section 07: From Recruiter to Recruiter The day of an IT Recruiter 00:05:00 Key principles 00:03:00 Sourcing Tipps 00:03:00 Section 08: Bye-bye Thank you for taking part in this course! 00:01:00 Assignment Assignment - Recruitment: IT Basics for IT Recruiters 00:00:00

Embark on a captivating journey into the world of artificial intelligence with our course, 'Machine Learning Basics.' This voyage begins with an immersive introduction, setting the stage for an exploration into the intricate and fascinating realm of machine learning. Envision yourself unlocking the mysteries of algorithms and data patterns, essential skills in today's technology-driven landscape. The course offers a comprehensive foray into the core principles of machine learning, starting from the very basics and gradually building to more complex concepts, making it an ideal path for beginners and enthusiasts alike. As you delve deeper, each section unravels a vital component of machine learning. Grasp the essentials of regression analysis, understand the role of predictors, and navigate through the functionalities of Minitab, a key tool in data analysis. Journey through the structured world of regression trees and binary logistic regression, and master the art of classification trees. The course also emphasizes the importance of data cleaning and constructing robust data models, culminating in the achievement of learning success. This course is not just an educational experience; it's a gateway to the future of data science and AI. Learning Outcomes Comprehend the basic principles and applications of machine learning. Develop proficiency in regression analysis and predictor identification. Gain practical skills in Minitab for data analysis. Understand and apply regression and classification trees. Acquire expertise in data cleaning and model creation. Why choose this Machine Learning Basics course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the 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. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Machine Learning Basics course for? Novices eager to delve into machine learning. Data enthusiasts looking to enhance their analytical skills. Professionals in IT and related fields expanding their expertise. Academics and students in computer science and data studies. Career changers interested in the field of data science and AI. Career path Data Analyst - £30,000 to £55,000 Machine Learning Engineer - £40,000 to £80,000 AI Developer - £35,000 to £75,000 Business Intelligence Analyst - £32,000 to £60,000 Research Scientist (Machine Learning) - £45,000 to £85,000 Software Engineer (AI Specialization) - £38,000 to £70,000 Prerequisites This Machine Learning Basics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Basics 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 Section 01: Introduction Introduction to Supervised Machine Learning 00:06:00 Section 02: Regression Introduction to Regression 00:13:00 Evaluating Regression Models 00:11:00 Conditions for Using Regression Models in ML versus in Classical Statistics 00:21:00 Statistically Significant Predictors 00:09:00 Regression Models Including Categorical Predictors. Additive Effects 00:20:00 Regression Models Including Categorical Predictors. Interaction Effects 00:18:00 Section 03: Predictors Multicollinearity among Predictors and its Consequences 00:21:00 Prediction for New Observation. Confidence Interval and Prediction Interval 00:06:00 Model Building. What if the Regression Equation Contains 'Wrong' Predictors? 00:13:00 Section 04: Minitab Stepwise Regression and its Use for Finding the Optimal Model in Minitab 00:13:00 Regression with Minitab. Example. Auto-mpg: Part 1 00:17:00 Regression with Minitab. Example. Auto-mpg: Part 2 00:18:00 Section 05: Regression Trees The Basic idea of Regression Trees 00:18:00 Regression Trees with Minitab. Example. Bike Sharing: Part1 00:15:00 Regression Trees with Minitab. Example. Bike Sharing: Part 2 00:10:00 Section 06: Binary Logistics Regression Introduction to Binary Logistics Regression 00:23:00 Evaluating Binary Classification Models. Goodness of Fit Metrics. ROC Curve. AUC 00:20:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 1 00:16:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 2 00:18:00 Section 07: Classification Trees Introduction to Classification Trees 00:12:00 Node Splitting Methods 1. Splitting by Misclassification Rate 00:20:00 Node Splitting Methods 2. Splitting by Gini Impurity or Entropy 00:11:00 Predicted Class for a Node 00:06:00 The Goodness of the Model - 1. Model Misclassification Cost 00:11:00 The Goodness of the Model - 2 ROC. Gain. Lit Binary Classification 00:15:00 The Goodness of the Model - 3. ROC. Gain. Lit. Multinomial Classification 00:08:00 Predefined Prior Probabilities and Input Misclassification Costs 00:11:00 Building the Tree 00:08:00 Classification Trees with Minitab. Example. Maintenance of Machines: Part 1 00:17:00 Classification Trees with Miitab. Example. Maintenance of Machines: Part 2 00:10:00 Section 08: Data Cleaning Data Cleaning: Part 1 00:16:00 Data Cleaning: Part 2 00:17:00 Creating New Features 00:12:00 Section 09: Data Models Polynomial Regression Models for Quantitative Predictor Variables 00:20:00 Interactions Regression Models for Quantitative Predictor Variables 00:15:00 Qualitative and Quantitative Predictors: Interaction Models 00:28:00 Final Models for Duration and TotalCharge: Without Validation 00:18:00 Underfitting or Overfitting: The 'Just Right Model' 00:18:00 The 'Just Right' Model for Duration 00:16:00 The 'Just Right' Model for Duration: A More Detailed Error Analysis 00:12:00 The 'Just Right' Model for TotalCharge 00:14:00 The 'Just Right' Model for ToralCharge: A More Detailed Error Analysis 00:06:00 Section 10: Learning Success Regression Trees for Duration and TotalCharge 00:18:00 Predicting Learning Success: The Problem Statement 00:07:00 Predicting Learning Success: Binary Logistic Regression Models 00:17:00 Predicting Learning Success: Classification Tree Models 00:09:00

Unlock the power of data with our 'Data Analytics with Tableau' course, a gateway to visualising and understanding your business's most crucial insights. Whether you're analysing sales, human resources, or stock prices, our expertly curated projects will equip you with the prowess to transform raw data into actionable strategies. With Tableau at your fingertips, you'll navigate diverse datasets from Discount Mart's profits to Tesla's stock prices, and more. This course isn't just about data; it's about weaving compelling stories that drive decision-making, all while delving into the foundations of database concepts. Learning Outcomes Understand the core functionalities of Tableau for data visualisation. Analyse and interpret datasets from various business domains such as sales, HR, and stock markets. Craft Tableau stories that effectively communicate insights and drive decisions. Acquire foundational knowledge of database concepts pertinent to data analytics. Gain proficiency in executing projects and transforming business questions into analytical solutions. Why choose this Certificate in Data Analytics with Tableau at QLS Level 3 course? 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 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 Analytics with Tableau at QLS Level 3 for? Individuals seeking to elevate their data visualisation skills using Tableau. Business analysts and consultants aiming to harness the power of data-driven storytelling. Marketing professionals keen on deriving actionable insights from data. Finance and HR professionals looking to analyse datasets effectively. Entrepreneurs aiming to make data-driven decisions for their enterprises. Career path Data Analyst: £25,000 - £40,000 Tableau Developer: £30,000 - £55,000 Business Intelligence Analyst: £28,000 - £50,000 Data Visualisation Expert: £32,000 - £57,000 HR Analytics Specialist: £29,000 - £52,000 Stock Market Data Analyst: £27,000 - £48,000 Prerequisites This Certificate in Data Analytics with Tableau at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course 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 Module 01: Introduction to the Course Introduction to the Course 00:02:00 What is Tableau?An Introduction to Tableau 00:03:00 How this course is Structured 00:01:00 Installing the Free Full Version of Tableau 00:02:00 Module 02: Project 1: Discount Mart (Sales and Profit Analytics) Project Brief for Discount Mart 00:03:00 Connecting and Preparing Data for Discount Mart 00:15:00 Building Charts on Tableau for Discount Mart (Part 1) 00:33:00 Building Charts on Tableau for Discount Mart (Part 2) 00:16:00 Creating Headline Cards on Tableau for Discount Mart 00:10:00 Building and Publishing Dashboards on Tableau 00:15:00 Module 03: Project 2: Green Destinations (HR Analytics) Project Brief for Green Destinations 00:02:00 Connecting and Preparing Data for Green Destinations 00:09:00 Building Charts on Tableau (Part 1) for Green Destinations 00:28:00 Building Charts on Tableau (Part 2) for Green Destinations 00:08:00 Creating Headline Cards on Tableau 00:12:00 Building a Dashboard for Green Destinations 00:12:00 Publish your Dashboard to Tableau Public 00:03:00 Module 04: Project 3: Superstore (Sales Agent Tracker) Project Brief for Super Store 00:02:00 Connecting and Preparing Data for Super Store 00:17:00 Building Charts on Tableau (Part 1) for Super Store 00:34:00 Building Charts on Tableau (Part 2) for Super Store 00:23:00 Building a Dashboard 00:18:00 Publish your Dashboard to Tableau Public 00:03:00 Module 05: Northwind Trade (Shipping Analytics) Project Brief for Northwind Trade 00:03:00 Connecting and Preparing Data for Northwind Trade 00:14:00 Building Charts on Tableau for Northwind Trade 00:37:00 Building and Publishing Dashboards for Northwind Trade 00:10:00 Module 06: Project 5: Tesla (Stock Price Analytics) Project Brief for Tesla 00:02:00 Creating a Data Source through Google Sheet Functions 00:05:00 Connect to the Data for Tesla 00:04:00 Building Charts on Tableau for Tesla 00:22:00 Building Headline Cards 00:09:00 Building a Tesla Dashboard 00:08:00 Publish your Dashboard to Tableau Public 00:03:00 Module 07: Bonus: Introduction to Database Concepts Introduction to Database Concepts 00:01:00 Understanding Relational Databases 00:04:00 Relationships of Database Entities 00:02:00 Primary and Foreign Keys 00:01:00 Data types and Naming Conventions 00:04:00 Module 08: Tableau Stories Creating Stories on Tableau 00:05:00 Resources Resources - Certificate in Data Analytics with Tableau at QLS Level 3 00:00:00 Assignment Assignment - Certificate in Data Analytics with Tableau at QLS Level 3 04:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Business Management and Finance Course Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Business Management and Finance Course Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Business Management and Finance Course Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Business Management and Finance Course Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Business Management and Finance 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 Business Management and Finance Course 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 Business Management and Finance Course 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 Business Management and Finance Course does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Business Management and Finance Course 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 Business Management and Finance Course is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum **Business Management** Module 01: Basics of Business Process Management The Fundamentals of Business Process Management 00:30:00 Defining Business Process Management 00:30:00 The Business Process Life Cycle 00:15:00 Module 02: The Vision, Design & Execution Phase of Business Management The Vision Phase 00:15:00 The Design Phase 01:00:00 The Execution Phase 01:00:00 Module 03: The Monitoring & Optimising Phase of Business Management The Monitoring Phase 00:30:00 The Optimising Phase 01:00:00 Module 04: Project Management Project Management 00:45:00 Module 05: Marketing, Positioning and Pricing Marketing and Its Components 00:05:00 Positioning and Pricing 00:05:00 Module 06: Selling and Negotiating Selling and Negotiating 00:06:00 Module 07: Leadership and Management Leadership and Management 00:20:00 Module 08: Five Practices and Change Management Five Practices 00:05:00 Managing Change 00:05:00 Module 09: Critical Thinking Critical Thinking 00:40:00 Module 10: Business Relationship Management Managing Relationships 00:30:00 Module 11: Meeting Management Meeting Management 01:30:00 Module 12: Infrastructure of the Information Technology for Business Management IT Infrastructure and Emerging Technologies 00:10:00 Foundations of Business Intelligence : Databases and Information Management 00:20:00 Telecommunications, Internet, and Wireless Technology 00:10:00 Securing Information Systems 00:40:00 Module 13: Key System Applications for the Digital Business Achieving Operational Excellence and Customer Intimacy: Enterprise Applications 00:15:00 E-Commerce : Digital Markets, Digital Goods 00:15:00 Knowledge Management Systems 00:25:00 **Financial Accounting** Module : 01 Chris Moore - Accounting for Beginners Promo 00:01:00 Chris Moore - 1. Introduction 00:03:00 Chris Moore - 2. First Transactions 00:05:00 Chris Moore - 3. T Accounts introduction 00:03:00 Chris Moore - 4. T-Accounts conclusion 00:03:00 Chris Moore - 5. Trial Balance 00:02:00 Chris Moore - 6. Income Statement 00:03:00 Chris Moore - 7. Balance Sheet 00:03:00 Module : 02 Chris Moore - 8. Balance Sheet Variations 00:03:00 Chris Moore - 9. Accounts in practise 00:05:00 Chris Moore - 10. Balance Sheets what are they 00:05:00 Chris Moore - 11. Balance Sheet Level 2 00:03:00 Chris Moore - 12. Income Statement Introduction 00:06:00 Chris Moore - 13. Are they Expenses, or Assets 00:03:00 Chris Moore - 14. Accounting Jargon 00:02:00 Module : 03 Chris Moore - 15. Accruals Accounting is Fundamental 00:03:00 Chris Moore - 16. Trial Balance 3 days ago More 00:04:00 Chris Moore - 17. Fixed Assets and how it is shown in the Income Statement 00:03:00 Chris Moore - 18. Stock movements and how this affects the financials 00:03:00 Chris Moore - 19. Accounts Receivable 00:03:00 Chris Moore - 20. How to calculate the Return on Capital Employed 00:05:00 Chris Moore - 21. Transfer Pricing - International Rules 00:02:00 Mock Exam Mock Exam - Business Management and Finance Course 00:20:00 Final Exam Final Exam - Business Management and Finance Course 00:20:00

Dive deep into the vast realm of Python data science with our meticulously crafted course: 'Python Data Science with Numpy, Pandas and Matplotlib'. Explore the intricate details of Python, setting the stage with Pandas and Numpy, before delving into the power of Python data structures. With topics ranging from Python Strings to Matplotlib Histograms, you'll gain a holistic insight, ensuring that every dataset you touch unveils its story compellingly. So, if you're keen on transmuting raw data into visual masterpieces or insights, this journey is tailor-made for you. Learning Outcomes Grasp foundational knowledge of Python and its data structures like strings, lists, and dictionaries. Understand the potential of NumPy, from basic array operations to handling multi-dimensional arrays. Master the versatility of Pandas, encompassing everything from dataframe conversions to intricate operations like aggregation and binning. Efficiently manage, manipulate, and transform data using Pandas' diverse functionalities. Create visually striking and informative graphs using the power of Matplotlib. Why buy this Python Data Science with Numpy, Pandas and Matplotlib 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 Python Data Science with Numpy, Pandas and Matplotlib 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 Python Data Science with Numpy, Pandas and Matplotlib course for? Beginners eager to jumpstart their journey in Python data science. Analysts looking to enhance their data manipulation skills using Python. Statisticians keen on expanding their toolset with Python-based libraries. Data enthusiasts desiring a deep dive into Python's data libraries and structures. Professionals aiming to upgrade their data visualisation techniques. Prerequisites This Python Data Science with Numpy, Pandas and Matplotlib does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Python Data Science with Numpy, Pandas and Matplotlib 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: £40,000 - £80,000 Python Developer: £35,000 - £70,000 Data Analyst: £30,000 - £55,000 Business Intelligence Analyst: £32,000 - £60,000 Research Analyst: £28,000 - £52,000 Data Visualization Engineer: £33,000 - £65,000 Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:09:00 Introduction to Python, Pandas and Numpy Introduction to Python, Pandas and Numpy 00:07:00 System and Environment Setup System and Environment Setup 00:08:00 Python Strings Python Strings - Part 1 00:11:00 Python Strings - Part 2 00:09:00 Python Numbers and Operators Python Numbers and Operators - Part 1 00:06:00 Python Numbers and Operators - Part 2 00:07:00 Python Lists Python Lists - Part 1 00:05:00 Python Lists - Part 2 00:06:00 Python Lists - Part 3 00:05:00 Python Lists - Part 4 00:07:00 Python Lists - Part 5 00:07:00 Tuples in Python Tuples in Python 00:06:00 Sets in Python Sets in Python - Part 1 00:05:00 Sets in Python - Part 2 00:04:00 Python Dictionary Python Dictionary - Part 1 00:07:00 Python Dictionary - Part 2 00:07:00 NumPy Library - Introduction NumPy Library Intro - Part 1 00:05:00 NumPy Library Intro - Part 2 00:05:00 NumPy Library Intro - Part 3 00:06:00 NumPy Array Operations and Indexing NumPy Array Operations and Indexing - Part 1 00:04:00 NumPy Array Operations and Indexing - Part 2 00:06:00 NumPy Multi-Dimensional Arrays NumPy Multi-Dimensional Arrays - Part 1 00:07:00 NumPy Multi-Dimensional Arrays - Part 2 00:06:00 NumPy Multi-Dimensional Arrays - Part 3 00:05:00 Introduction to Pandas Series Introduction to Pandas Series 00:08:00 Introduction to Pandas Dataframes Introduction to Pandas Dataframes 00:07:00 Pandas Dataframe conversion and drop Pandas Dataframe conversion and drop - Part 1 00:06:00 Pandas Dataframe conversion and drop - Part 2 00:06:00 Pandas Dataframe conversion and drop - Part 3 00:07:00 Pandas Dataframe summary and selection Pandas Dataframe summary and selection - Part 1 00:06:00 Pandas Dataframe summary and selection - Part 2 00:06:00 Pandas Dataframe summary and selection - Part 3 00:07:00 Pandas Missing Data Management and Sorting Pandas Missing Data Management and Sorting - Part 1 00:07:00 Pandas Missing Data Management and Sorting - Part 2 00:07:00 Pandas Hierarchical-Multi Indexing Pandas Hierarchical-Multi Indexing 00:06:00 Pandas CSV File Read Write Pandas CSV File Read Write - Part 1 00:05:00 Pandas CSV File Read Write - Part 2 00:07:00 Pandas JSON File Read Write Pandas JSON File Read Write Operations 00:07:00 Pandas Concatenation Merging and Joining Pandas Concatenation Merging and Joining - Part 1 00:05:00 Pandas Concatenation Merging and Joining - Part 2 00:04:00 Pandas Concatenation Merging and Joining - Part 3 00:04:00 Pandas Stacking and Pivoting Pandas Stacking and Pivoting - Part 1 00:06:00 Pandas Stacking and Pivoting - Part 2 00:05:00 Pandas Duplicate Data Management Pandas Duplicate Data Management 00:07:00 Pandas Mapping Pandas Mapping 00:04:00 Pandas Grouping Pandas Groupby 00:06:00 Pandas Aggregation Pandas Aggregation 00:09:00 Pandas Binning or Bucketing Pandas Binning or Bucketing 00:08:00 Pandas Re-index and Rename Pandas Re-index and Rename - Part 1 00:04:00 Pandas Re-index and Rename - Part 2 00:05:00 Pandas Replace Values Pandas Replace Values 00:05:00 Pandas Dataframe Metrics Pandas Dataframe Metrics 00:07:00 Pandas Random Permutation Pandas Random Permutation 00:08:00 Pandas Excel sheet Import Pandas Excel sheet Import 00:07:00 Pandas Condition Selection and Lambda Function Pandas Condition Selection and Lambda Function - Part 1 00:05:00 Pandas Condition Selection and Lambda Function - Part 2 00:05:00 Pandas Ranks Min Max Pandas Ranks Min Max 00:06:00 Pandas Cross Tabulation Pandas Cross Tabulation 00:07:00 Matplotlib Graphs and plots Graphs and plots using Matplotlib - Part 1 00:06:00 Graphs and plots using Matplotlib - Part 2 00:02:00 Matplotlib Histograms Matplotlib Histograms 00:03:00 Resource File Resource File - Python Data Science with Numpy, Pandas and Matplotlib 00:00:00

Embark on a comprehensive journey into the world of MySQL with a focus on its applications in Data Science and Analytics. This course is structured to take you from the fundamentals to advanced topics in MySQL Server. Covering SQL basics, data manipulation and definition, control and analytic functions, and database management, you'll acquire the essential skills for harnessing MySQL's power in data-driven decision-making. Learning Outcomes: Establish a strong foundation in SQL and MySQL. Set up and configure SQL Server for efficient data handling. Master SQL's Data Manipulation, Definition, and Control Language. Create and optimize SQL queries for data analysis. Perform advanced data analytics using SQL. Understand the power of GROUP BY and JOIN statements. Implement data constraints and views for data integrity and security. Develop proficiency in stored procedures, data import/export, and database backup/restore. Why buy this Learn MySQL from Scratch for Data Science and Analytics?  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 Learn MySQL from Scratch for Data Science and Analytics you will be able to take the MCQ test that will assess your knowledge. 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 Learn MySQL from Scratch for Data Science and Analytics course is ideal for Aspiring Data Scientists and Analysts. Database Administrators and Developers. Students and professionals seeking to enter the field of Data Science. Anyone looking to enhance their SQL and MySQL skills for data-related roles. Prerequisites This Learn MySQL from Scratch for Data Science and Analytics 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 Analyst: £25,000 - £50,000 per year. Database Administrator: £30,000 - £60,000 per year. SQL Developer: £30,000 - £60,000 per year. Data Scientist: £40,000 - £80,000 per year. Business Intelligence Analyst: £35,000 - £65,000 per year. Course Curriculum Learn MySQL from Scratch for Data Science and Analytics Section 01: Getting Started Introduction 00:02:00 How to get course requirements 00:01:00 Getting started on Windows, Linux or Mac 00:01:00 How to ask great questions 00:01:00 FAQ's 00:01:00 What is Source Code? 00:09:00 Section 02: SQL Server setting up Section Introduction 00:01:00 MySQL Server Installation 00:14:00 Connect MySQL Server Instance 00:06:00 MySQL Workbench overview 00:11:00 Download and Restore Sample Database 00:08:00 Section 03: SQL Database basics Section Introduction 00:01:00 Overview of Databases 00:09:00 Creating Database 00:07:00 SQL Data Types 00:04:00 Column Data Types on Workbench 00:07:00 Creating Table 00:04:00 Overview of Primary and Foreign Key 00:03:00 Primary Key 00:06:00 Foreign Key 00:12:00 Creating Temporary tables 00:12:00 EER - Enhanced Entity Relationship Diagrams 00:04:00 Section 04: SQL DML (Data Manipulation Language) Section Introduction 00:01:00 Insert statement 00:07:00 Update statement 00:06:00 Delete statement 00:03:00 Section 05: SQL DDL (Data Definition Language) Section Introduction 00:01:00 CREATE table statement 00:08:00 DROP statement 00:03:00 ALTER statement 00:05:00 TRUNCATE statement 00:03:00 COMMENT in query 00:02:00 RENAME table 00:03:00 Section 06: SQL DCL (Data Control Language) Create Database user 00:03:00 GRANT permissions 00:06:00 REVOKE permissions 00:04:00 Section 07: SQL Statement Basic Section Introduction 00:01:00 SQL Statement basic 00:03:00 SELECT Statement 00:03:00 SELECT DISTINCT 00:02:00 SELECT with column headings 00:01:00 Column AS statement 00:02:00 DASHBOARD Analytics 00:06:00 Section 08: Filtering Data rows SELECT WHERE Clause - theory 00:03:00 SELECT WHERE Clause - practical 00:06:00 Section 09: Aggregate functions for Data Analysis Sum() 00:06:00 Min()-Max() 00:03:00 Section 10: SQL Data Analyticstatements Order By statement 00:05:00 SELECT TOP 3 records 00:02:00 BETWEEN command 00:06:00 IN operator 00:03:00 Search Data usingLIKE cards 00:05:00 Section 11: SQL Group by statement Section Introduction 00:01:00 Group by - theory 00:04:00 Data Analytics with Group By 00:04:00 HAVING statement 00:03:00 Section 12: JOINS Overview of Joins 00:02:00 What are Joins 00:02:00 Inner join 00:07:00 Left outer join 00:02:00 Right outer join 00:02:00 Union 00:03:00 CERTESIAN Product or Cross Join 00:03:00 Query Exercise 00:01:00 Solution for Query Exercise 00:01:00 Section 13: SQL Constraints Section introduction 00:01:00 Check constraint 00:09:00 NOT NULL constraint 00:03:00 UNIQUE constraint 00:06:00 Section 14: Views Creating Views 00:03:00 Data Analytic Views from multiple tables 00:03:00 Section 15: Advanced SQL Functions Section Introduction 00:01:00 Timestamp 00:03:00 Extract from timestamp 00:03:00 Mathematical scalar functions 00:03:00 String functions3 00:07:00 Advanced functions 00:04:00 Sub Queries 00:03:00 SELECT with calculations 00:05:00 Section 16: SQL Stored procedures Create stored procedure 00:06:00 Stored procedure with parameter 00:03:00 Drop Procedure 00:01:00 Section 17: Import & Export data Section Introduction 00:01:00 Import .csv file 00:04:00 Export Data to .csv file 00:02:00 Section 18: Backup and Restore Database Section Introduction 00:01:00 Creating Database backup 00:02:00 Restoring Database backup 00:02:00

This ChatGPT for Marketing and Productivity with AI Tools course is your guide to using AI to boost your marketing results. Boost your marketing skills and productivity to the next level with our comprehensive ChatGPT for Marketing and Productivity with AI Tools course. Dive deep into the world of Artificial Intelligence (AI), its applications, and how it can revolutionise the way you work. This course is meticulously designed to empower marketing professionals, content creators, entrepreneurs, and anyone intrigued by the power of AI.  It's a blend of theoretical understanding, practical exposure, and foresight into the future of AI, particularly in the field of marketing and productivity. In Section 01, we unpack the 'AI Marketing Playbook'. Starting with an introduction to OpenAI's ChatGPT, its possibilities, and its limitations, you'll gain a fundamental understanding of AI capabilities. Following this, delve into practical aspects of using ChatGPT, from generating innovative ideas and content to cross-posting queries and simplifying complex information. Our experts will also guide you on how to leverage AI for business problem-solving and developing methodologies, wrapping up with insights on the future of ChatGPT. In Section 02 get teaching on how to use ChatGPT and other AI tools for effective marketing. Learn to work with Autonomous AI Agents and a variety of AI tools such as Durable, Eightify, Genei, and Ellicit, to name a few. By the end of this section, you'll be equipped with the skills to carry out high-quality research, build AI-based websites, determine research credibility, and clone voices. You'll also get an interesting perspective on the future of AI. Finally, Section 03 is all about enhancing your productivity with ChatGPT and AI tools. From meta-search sites to speech-to-text services, AI design tools, content improvement techniques, and more, this section aims to streamline your work processes. Learn to use tools like Microsoft Bing Search, Google Bard, Speechify, and Adobe for audio enhancements. Wrap up this course with an exploration of generative AI and a glance into the future of this exciting field. Whether you're a beginner or an experienced professional, this course promises to expand your horizons and make you proficient in harnessing AI's power for marketing and productivity. Unleash the potential of AI and transform your work efficiency with this ChatGPT for Marketing and Productivity with AI Tools course. Enrol today and start your AI journey with us! Learning Outcomes Upon completion of the ChatGPT for Marketing course, you will be able to: Understand the fundamentals of OpenAI's ChatGPT and its capabilities. Generate and qualify ideas effectively using ChatGPT. Learn to apply ChatGPT for solving specific business problems. Develop skills to connect with various Autonomous AI Agents. Learn to use AI tools for enhanced research and content creation. Understand how to determine research credibility using AI. Gain proficiency in utilising AI for website creation and voice cloning. Develop skills to leverage AI tools for improved productivity. Understand the future scope of generative AI in marketing. Master the use of various AI design and content improvement tools. Who is this course for? This ChatGPT for Marketing course is ideal for: Marketing professionals seeking to leverage AI in their strategies. Content creators interested in AI-powered idea generation and curation. Business owners looking to integrate AI into their operational processes. Individuals interested in exploring AI applications in marketing and productivity. Any tech enthusiast keen on understanding and applying AI tools. Career Path Our ChatGPT for Marketing course will help you to pursue a range of career paths, such as: AI Marketing Specialist: £45,000 - £70,000 Content Strategist: £35,000 - £55,000 Business Intelligence Analyst: £40,000 - £65,000 Productivity Consultant: £45,000 - £75,000 AI Research Analyst: £50,000 - £80,000 AI Application Developer: £55,000 - £90,000 Digital Transformation Consultant: £60,000 - £100,000 AI Solutions Architect: £65,000 - £110,000 Prerequisites This Photoshop Training for Beginners does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Photoshop Training for Beginners 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 of the Photoshop Training for Beginners 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. Course Curriculum Section 01: The AI Marketing Playbook Unit 01: Start an Account with ChatGPT 00:02:00 Unit 02: What the Company OpenAI Say About Itself 00:02:00 Unit 03: What OpenAI Say About The Limitations of the Chatbot 00:02:00 Unit 04: Chatbot Prompt Examples Given By Open AI 00:02:00 Unit 05: Will Chat GPT Be a Paid Application 00:01:00 Unit 06: Chat GPT Idea Generation 00:02:00 Unit 07: Chat GPT - Idea Qualification and Accuracy 00:03:00 Unit 08: ChatGPT - Accuracy and Citations 00:02:00 Unit 09: Chat GPT - Creating HTML Instances 00:01:00 Unit 10: Chat GPT - How to Solve Specific Business Problems 00:02:00 Unit 11: Chat GPT - Statistical Verification of Information 00:01:00 Unit 12: Chat GPT - Rewrite Content for Different Contexts 00:02:00 Unit 13: ChatGPT - Content Checked With AI 00:02:00 Unit 14: ChatGPT - Simplifying Information 00:01:00 Unit 15: ChatGPT - How to Ask the Chatbot about Context 00:01:00 Unit 16: ChatGPT - How to Cross-Post Queries 00:01:00 Unit 17: ChatGPT - How to Narrow Down the Context of Your Query 00:02:00 Unit 18: ChatGPT - How to Solve a Business Process 00:02:00 Unit 19: ChatGPT - Developing a Methodology From Experts 00:01:00 Unit 20: The Future of ChatGPT 00:01:00 Section 02: How to Use ChatGPT and AI for Marketing Unit 01: Autonous AI Agents 00:01:00 Unit 02: Connecting to Open AI 00:01:00 Unit 03: Getting an OpenAI Key 00:01:00 Unit 04: Agent GPT - Autonomous AI 00:02:00 Unit 05: GoalGPT - Autonomous Agents 00:01:00 Unit 06: Cognosis - Autonomous AI 00:02:00 Unit 07: Aomni - Autonomous Agent 00:01:00 Unit 08: Durable - Build a Website with AI 00:01:00 Unit 09: Eightify Summaries 00:02:00 Unit 10: Genei - Do Higher Quality Research with AI 00:01:00 Unit 11: Ellicit - Do Higher Quality Research with AI 00:01:00 Unit 12: Inciteful - Do Higher Quality Research with AI 00:02:00 Unit 13: SciteAI Determine the Credibility of Your Research 00:01:00 Unit 14: Eleven Labs - Voice Cloning 00:02:00 Unit 15: AgentGPT - Wrap Up and Return 00:01:00 Unit 16: Cognosys - Wrap Up and Return 00:01:00 Unit 17: Aomni - Wrap Up and Return 00:01:00 Unit 18: Goal GPT - Wrap Up and Return 00:01:00 Unit 19: Uploading Research Reports to Summarization Applications 00:01:00 Unit 20: Perspective on The Future of AI 00:01:00 Section 03: Productivity with AI Tools Unit 01: Meta Search Sites 00:02:00 Unit 02: SMMRY for Summarzing 00:01:00 Unit 03: ChatGPT Plugins Waitlist 00:01:00 Unit 04: Using Microsoft Bing Search 00:02:00 Unit 05: Using Google Bard 00:01:00 Unit 06: Microsoft Word Speech To Text 00:01:00 Unit 07: Transcribe Audio in Microsoft Word 00:02:00 Unit 08: Speechify 00:02:00 Unit 09: Exact Image Creation 00:01:00 Unit 10: AI Design Tools 00:02:00 Unit 11: Learn How to Prompt 00:01:00 Unit 12: Content Improvement 00:01:00 Unit 13: Idea Generation 00:01:00 Unit 14: Audio Enhancement with Adobe 00:02:00 Unit 15: Clean up Audio With Cleaanvoice 00:01:00 Unit 16: Notion-AI 00:01:00 Unit 17: Pictory 00:01:00 Unit 18: Lex 00:01:00 Unit 19: ChatPDF 00:01:00 Unit 20: Conclusion and the Future of Generatie AI - Searchie 00:01:00

Do you want to master the essential mathematical skills for data science and machine learning? Do you want to learn how to apply statistics and probability to real-world problems and scenarios? If yes, then this course is for you! In this course, you will learn the advanced concepts and techniques of statistics and probability that are widely used in data science and machine learning. You will learn how to describe and analyse data using descriptive statistics, distributions, and probability theory. You will also learn how to perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data. You will gain hands-on experience with practical exercises and projects using Python and R. Learning Outcomes By the end of this course, you will be able to: Apply descriptive statistics, distributions, and probability theory to summarise and visualise data Perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data Use Python and R to implement statistical and machine learning methods Interpret and communicate the results of your analysis using appropriate metrics and visualisations Solve real-world problems and scenarios using statistics and probability Why choose this Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the 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. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 course for? This course is for anyone who wants to learn the advanced concepts and techniques of statistics and probability for data science and machine learning. This course is suitable for: Data scientists, machine learning engineers, and analysts who want to enhance their skills and knowledge Students and researchers who want to learn the mathematical foundations of data science and machine learning Professionals and managers who want to understand and apply data-driven decision making Hobbyists and enthusiasts who want to explore and learn from data Anyone who loves statistics and probability and wants to challenge themselves Career path Data Scientist (£35,000 - £55,000) Machine Learning Engineer (£40,000 - £60,000) Statistician (£35,000 - £55,000) Data Analyst (£40,000 - £60,000) Business Intelligence Analyst (£45,000 - £65,000) Senior Data Analyst (£50,000 - £70,000) Prerequisites This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 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 £135 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 Section 01: Let's get started Welcome! 00:02:00 What will you learn in this course? 00:06:00 How can you get the most out of it? 00:06:00 Section 02: Descriptive statistics Intro 00:03:00 Mean 00:06:00 Median 00:05:00 Mode 00:04:00 Mean or Median? 00:08:00 Skewness 00:08:00 Practice: Skewness 00:01:00 Solution: Skewness 00:03:00 Range & IQR 00:10:00 Sample vs. Population 00:05:00 Variance & Standard deviation 00:11:00 Impact of Scaling & Shifting 00:19:00 Statistical moments 00:06:00 Section 03: Distributions What is a distribution? 00:10:00 Normal distribution 00:09:00 Z-Scores 00:13:00 Practice: Normal distribution 00:04:00 Solution: Normal distribution 00:07:00 Section 04: Probability theory Intro 00:01:00 Probability Basics 00:10:00 Calculating simple Probabilities 00:05:00 Practice: Simple Probabilities 00:01:00 Quick solution: Simple Probabilities 00:01:00 Detailed solution: Simple Probabilities 00:06:00 Rule of addition 00:13:00 Practice: Rule of addition 00:02:00 Quick solution: Rule of addition 00:01:00 Detailed solution: Rule of addition 00:07:00 Rule of multiplication 00:11:00 Practice: Rule of multiplication 00:01:00 Solution: Rule of multiplication 00:03:00 Bayes Theorem 00:10:00 Bayes Theorem - Practical example 00:07:00 Expected value 00:11:00 Practice: Expected value 00:01:00 Solution: Expected value 00:03:00 Law of Large Numbers 00:08:00 Central Limit Theorem - Theory 00:10:00 Central Limit Theorem - Intuition 00:08:00 Central Limit Theorem - Challenge 00:11:00 Central Limit Theorem - Exercise 00:02:00 Central Limit Theorem - Solution 00:14:00 Binomial distribution 00:16:00 Poisson distribution 00:17:00 Real life problems 00:15:00 Section 05: Hypothesis testing Intro 00:01:00 What is a hypothesis? 00:19:00 Significance level and p-value 00:06:00 Type I and Type II errors 00:05:00 Confidence intervals and margin of error 00:15:00 Excursion: Calculating sample size & power 00:11:00 Performing the hypothesis test 00:20:00 Practice: Hypothesis test 00:01:00 Solution: Hypothesis test 00:06:00 T-test and t-distribution 00:13:00 Proportion testing 00:10:00 Important p-z pairs 00:08:00 Section 06: Regressions Intro 00:02:00 Linear Regression 00:11:00 Correlation coefficient 00:10:00 Practice: Correlation 00:02:00 Solution: Correlation 00:08:00 Practice: Linear Regression 00:01:00 Solution: Linear Regression 00:07:00 Residual, MSE & MAE 00:08:00 Practice: MSE & MAE 00:01:00 Solution: MSE & MAE 00:03:00 Coefficient of determination 00:12:00 Root Mean Square Error 00:06:00 Practice: RMSE 00:01:00 Solution: RMSE 00:02:00 Section 07: Advanced regression & machine learning algorithms Multiple Linear Regression 00:16:00 Overfitting 00:05:00 Polynomial Regression 00:13:00 Logistic Regression 00:09:00 Decision Trees 00:21:00 Regression Trees 00:14:00 Random Forests 00:13:00 Dealing with missing data 00:10:00 Section 08: ANOVA (Analysis of Variance) ANOVA - Basics & Assumptions 00:06:00 One-way ANOVA 00:12:00 F-Distribution 00:10:00 Two-way ANOVA - Sum of Squares 00:16:00 Two-way ANOVA - F-ratio & conclusions 00:11:00 Section 09: Wrap up Wrap up 00:01:00 Assignment Assignment - Statistics & Probability for Data Science & Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Ascend to the next level of Excel proficiency with our comprehensive Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query course. This in-depth training will equip you with the skills to create sophisticated dashboards using advanced Excel formulas, VBA, and Power Query, empowering you to transform raw data into actionable insights. Master the art of financial modeling with our prepaid expenses models, learning how to calculate amortization schedules and create detailed summaries using Excel formulas. Delve into the power of Power Query to effortlessly manipulate and analyze large datasets, building dynamic dashboards without the limitations of formulas. Learning Outcomes Gain proficiency in creating automated dashboards using advanced Excel formulas, VBA, and Power Query Develop expertise in financial modeling using prepaid expenses models Master the calculation of amortization schedules and prepaid expenses summaries Implement Power Query to manipulate and analyze large datasets Create dynamic dashboards without the limitations of formulas Enhance your Excel skills and data analysis capabilities Why choose this Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the 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. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query course for? Accounting and finance professionals seeking to enhance their Excel skills for financial modeling and dashboard creation Business analysts and data analysts aiming to expand their expertise in data manipulation and visualization Excel enthusiasts interested in mastering advanced Excel formulas, VBA, and Power Query Individuals seeking to create interactive and insightful dashboards for data-driven decision-making Anyone seeking to elevate their Excel skills and become a proficient data analyst Career path Financial Analyst (£35,000 - £55,000) Business Analyst (£40,000 - £60,000) Data Analyst (£45,000 - £65,000) Management Accountant (£40,000 - £60,000) Business Intelligence Analyst (£45,000 - £65,000) Senior Financial Analyst (£50,000 - £70,000) Prerequisites This Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query 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 Introduction Course Outline and Introduction 00:04:00 Minimum Requirements for the Course 00:01:00 Prepayments Introduction 00:01:00 Prepaid Expenses Models: Resources Download Month End Date Prepaid Expenses Amortization Calculation 00:00:00 Exact Prepaid Expenses Payment Date Calculation 00:00:00 Accounting for Prepaid Expenses Prepaid Expenses Accounting Definition: Prepayments 00:03:00 Prepaid Expense Example: How Accounting works for Prepayments 00:03:00 Advantages and Disadvantages of Prepaid Expenses 00:03:00 Excel Formulas Detailed: Introduction to three Excel Models Introduction to PRO Excel Models and Formulas 00:06:00 Date Function 00:05:00 EOMONTH Function 00:04:00 DATEVALUE function 00:03:00 IF Function 00:08:00 IFS Function (Office 365 Only) 00:07:00 VLOOKUP Function 00:07:00 MATCH Function 00:05:00 INDIRECT Function 00:02:00 NAMED Ranges: Name Manager 00:03:00 Advanced Version of VLOOKUP Function 00:07:00 Formula Based Prepaid Expenses Model Introduction to Model and Control Panel Tab (Important Sheet Tab) 00:08:00 Formula Based Prepaid Expenses Model - Deep Dive (Part 1) 00:05:00 Formula Based Prepaid Expenses Model - Deep Dive (Part 2) 00:06:00 Formula Based Prepaid Expenses Model - Deep Dive (Part 3) 00:06:00 IFS Function - Month End date Prepayment calculation 00:04:00 Prepaid Expenses - Closing Balance Summary Tab (Formula Based Summary) 00:09:00 Protecting Formulas Cells and Fields in the Model 00:04:00 Calculate Prepaid Expenses Amortisation from Exact Start Date Exact Date Prepaid Amortisation calculation Intro 00:03:00 Formulas update and Model Changes for Exact Prepaid Exps Calculation 00:03:00 Formulas Update for Exact Date Prepaid Exps Amortisation (Part 1) 00:04:00 Formulas Update for Exact Date Prepaid Exps Amortisation (Part 2) 00:03:00 Formulas Update for Exact Date Prepaid Exps Amortisation (Part 3) 00:02:00 Formulas Update for Exact Date Prepaid Exps Amortisation (Part 4) 00:07:00 IFS Function - Exact Date Prepayments Amortisation 00:04:00 Data Validation Controls (Enhancing Data Input Controls with Protection) 00:10:00 Bonus: Prepayment Model with Opening Balance Calculation (Part 1) 00:08:00 Bonus: Prepayment Model with Opening Balance Calculation (Part 2) 00:09:00 Additional Material: Resources 00:00:00 Prepaid Expenses Summary with Power Query and Pivot Table Power Query and Pivot Table Prepayment Summary Table Intro 00:06:00 What is Power Query and Some Awesome Resources for Power Query learning 00:07:00 Power Query and Pivot Table Summary - Deep Dive (Part 1) 00:05:00 Power Query and Pivot Table Summary - Deep Dive (Part 2) 00:04:00 Power Query and Pivot Table Summary - Deep Dive (Part 3) 00:05:00 Power Query and Pivot Table Summary - Deep Dive (Part 4) 00:09:00 Using Array Formulas to Add Formula Protection 00:04:00 Bonus: Allocate Prepaid Expenditure Cost Centre Wise - 1 00:02:00 Bonus: Allocate Prepaid Expenditure Cost Centre Wise - 2 00:08:00 Bonus: Prepayment Model with Opening Balance Calculation (PQ and PT Version) 00:13:00 Advanced VBA Prepaid Expenses Amortisation Model Changing Macros Security in Excel 00:05:00 Complete Walkthrough - Advanced VBA Prepaid Expenses Amortisation Model 00:06:00 Bonus : New Version - Excel VBA Model for Prepayment Expenditure 00:08:00 BONUS: Dynamic Dashboard for Divisional Profit and Loss statements: Easy Way Dynamic Dashboard Overview 00:07:00 Importing Profit and Loss Statements Source Files and creating YTD P&L Sheets 00:08:00 Creating Dynamic Data Validation 00:02:00 Creating Named Ranges for Dynamic Table Arrays 00:03:00 Dynamic Date Column Headings for each Divisional PL Table 00:02:00 Dynamic Month and YTD Dashboard tables headings (PRO TIP) 00:03:00 Dynamic VLOOKUP Formula - Preparing First section of the Dashboard 00:04:00 Creating Rolling Dashboard with Dynamic VLOOKUP Function 00:08:00 IMPORTANT : Error Checking for your reports/Dashboard (PRO TIP) 00:03:00 Data Prep for Visualization: AREA Charts (Awesome trick using #NA Function) 00:05:00 Visualization: AREA Charts for Month - Revenue, Gross Profit and Net Profit 00:05:00 Visualization DONUT Charts Revenue, Gross Profit and Net Profit (Part 1) 00:03:00 Visualization DONUT Charts Revenue, Gross Profit and Net Profit (Part 2) 00:06:00 Power Query & Pivot Tables based Dashboard without any Formulas, Fully Dynamic Introduction - Formula-less Dashboard - Fully Dynamic and easily refreshed 00:05:00 Understanding the data files before building dashboard 00:02:00 Consolidating Reports with Power Query (Get & Transform) , How to install PQ 00:08:00 Dynamic File Path Trick in Power Query with Parameters (Amazing trick) 00:06:00 Conditional Cumulative totals with SUMIFS Function 00:04:00 Bonus: Conditional Cumulative totals with Power Query Custom Formula (M Code) 00:06:00 Dashboard Creation - Pivot Table showing Month and YTD KPIs division wise 00:06:00 Dashboard Creation Donuts Charts linked with Pivot Table (Replicate Charts fast) 00:08:00 Dashboard Creation - Line Charts 00:08:00 Update Dashboard with Additional Divisional Data with Few Click (Magical) 00:03:00 Thank you Thank you 00:02:00 Ultimate Prepaid Expenditure Model (Super Bonus) 00:02:00 Resources Resources - Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query 00:00:00 Assignment Assignment - Microsoft Excel: Automated Dashboard Using Advanced Formula VBA Power Query 00:00:00

Uncover Excel 2019's potential through our comprehensive Microsoft Excel course. It empowers you to master features, calculations, data analysis, and automation. Whether you're new to spreadsheets or aiming for data expertise, this course is tailored for you. Our Microsoft Excel course simplifies Excel's complexities, making it beginner-friendly. It equips you with skills vital in today's data-driven landscape. Beyond personal growth, this Microsoft Excel course boosts career prospects. Excel proficiency is valuable in a competitive job market, opening doors to diverse opportunities. Our course is a transformative journey into Excel 2019, unlocking potential, enhancing skills, and advancing careers. Whether you're a novice or aspiring data pro, it's your key to Excel's power and your potential. Learning Outcomes of our Microsoft Excel course: Master Microsoft Excel 2019's latest features. Perform complex calculations with ease. Create visually appealing and well-formatted worksheets. Analyze and visualize data effectively using charts and PivotTables. Automate workbook tasks with Excel VBA. Why buy this Advanced Diploma in Microsoft Excel Complete Course 2019 at QLS Level 7? 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 Who is this Advanced Diploma in Microsoft Excel Complete Course 2019 at QLS Level 7 for? Individuals new to Microsoft Excel looking to build a strong foundation. Students and job seekers aiming to enhance their employability. Business professionals wanting to improve data management and analysis skills. Entrepreneurs seeking to streamline their business processes. Anyone interested in harnessing the power of Excel for personal or professional growth. Prerequisites This Advanced Diploma in Microsoft Excel Complete Course 2019 at QLS Level 7 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 Analyst: £25,000 - £40,000 per year Financial Analyst: £30,000 - £50,000 per year Business Intelligence Analyst: £30,000 - £55,000 per year Operations Manager: £35,000 - £70,000 per year Project Manager: £40,000 - £70,000 per year Excel VBA Developer: £35,000 - £60,000 per year Certification After studying the course materials of the Advanced Diploma in Microsoft Excel Complete Course 2019 at QLS Level 7 you will be able to take the MCQ test that will assess your knowledge. 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 £135 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 Microsoft Excel 2019 New Features Introduction to Microsoft Excel 2019 New Features 00:07:00 CONCAT 00:02:00 IFS 00:01:00 MAXIFS 00:01:00 MINIFS 00:01:00 SWITCH 00:02:00 TEXTJOIN 00:01:00 Map Chart 00:02:00 Funnel Chart 00:01:00 Better Visuals 00:06:00 Pivot Table Enhancements 00:02:00 Power Pivot Updates 00:01:00 Getting Started with Microsoft Office Excel Navigate the Excel User Interface 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 00:08:00 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 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 Excel VBA Data Management Create a Macro Using the Macro Recorder 01:00:00 Edit a Macro 01:00:00 Debug a Macro 00:30:00 Customize the Quick Access Toolbar and Hotkeys 00:30:00 Set Macro Security 01:00:00 Insert Text 00:30:00 Format Text 00:30:00 Sort Data 00:30:00 Duplicate Data 01:00:00 Generate a Report 01:00:00 Determine the Dialog Box Type 00:15:00 Capture User Input 01:00:00 Insert, Copy, and Delete Worksheets 00:30:00 Rename Worksheets 00:30:00 Modify the Order of Worksheets 00:15:00 Print Worksheets 00:30:00 Create User-Defined Functions 00:30:00 Automate SUM Functions 00:30:00 Excel Templates Excel Templates 00:00:00 Resources Resources - Microsoft Excel - Beginner Course - Cpd Accredited 00:00:00 Mock Exam Mock Exam - Microsoft Excel Complete Course 2019 00:20:00 Final Exam Final Exam - Microsoft Excel Complete Course 2019 00:20:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00