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Highlights of the Course Course Type: Online Learning Duration: 5 Hours Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about Autodesk Revit Understand the core competencies and principles of Autodesk Revit Explore the various areas of Autodesk Revit Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert Autodesk Revit architecture Autodesk Revit Course Master the skills you need to propel your career forward in Autodesk Revit. This course will equip you with the essential knowledge and skillset that will make you a confident Autodesk Revit architecture and take your career to the next level. This comprehensive Autodesk Revit course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this Autodesk Revit course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective Autodesk Revit practice and equip you with the essential skills, confidence and competence to assist you in the Autodesk Revit industry. You'll gain a solid understanding of the core competencies required to drive a successful career in Autodesk Revit. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for Autodesk Revit architecture or for people who are aspiring to specialise in Autodesk Revit. Enrol in this Autodesk Revit course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive Autodesk Revit course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this Autodesk Revit can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This Autodesk Revit course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This Autodesk Revit course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This Autodesk Revit course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Supplementary Resources Supplementary Resources - Autodesk Revit 00:00:00 [SKIP IF NOT NECESSARY] Download,Install and Troubleshooting Introduction To Download And Install Revit 00:01:00 System Requirements 00:02:00 Certified Hardware 00:01:00 Subscriptions 00:01:00 Revit VS Revit LT 00:02:00 Installing Revit On An Apple MAC 00:01:00 Getting Started 00:01:00 Creating An Account 00:01:00 Installing The Software 00:03:00 Configuring The Library And Template File Paths 00:05:00 Introduction to the Beginners Course Introduction To The Beginners Course 00:02:00 Touring the Interface 1.1 Start Screen [NOTES ATTACHED] 00:02:00 1.2 File Tab, Quick Access Toolbar & Info Centre 00:04:00 1.3 Tabs, Ribbons & Panels 00:01:00 1.4 Properties Palette & Project Browser 00:03:00 1.5 Status Bar, View Controls, Selection Toggles & Context Menu 00:08:00 1.6 Navigating The Drawing Area 00:03:00 1.7 Contextual Tab 00:02:00 1.8 Terminology 00:03:00 Introduction to Walls 2.1 Introduction To Walls & The Wall Panel 00:11:00 2.2 Wall Option Bar 00:11:00 2.3 Wall Properties Palette 00:03:00 Basic Tools 3.1 Align, Offset, Mirror - Pick Axis, Mirror - Draw Axis 00:04:00 3.2 Move, Copy, Rotate, Trim/Extend to corner, T/E single element, T/E multiple 00:07:00 3.3 Split element, Pin, Array, Scale, Delete 00:07:00 Datum Elements 4.1 Defining The Buildings Levels & Creating Reference Levels2 00:13:00 4.2 Creating The Grid System 00:06:00 Major Components 5.1 Placing Structural Columns On The Grid 00:04:00 5.2 Placing Architectural Columns On The Grid 00:03:00 5.3 Placing The External Walls 00:04:00 5.4 Placing The Internal Wall 00:06:00 5.5 Using The Equality Constraints 00:07:00 5.6 Placing The Ground Floor Slab 00:06:00 5.7 Placing A Boundary Footpath 00:03:00 Minor Components 6.1 Placing Doors From The Type Selector 00:05:00 6.2 Loading Doors From The Library 00:02:00 6.3 Creating A New Door Type 00:05:00 6.4 Adding A Wall Opening 00:07:00 6.5 Editing The Walls Profile To Create An Opening 00:02:00 6.6 Adding A Structural Opening To The Wall 00:03:00 6.7 Placing Windows 00:04:00 Creating the next level 7.1 Increasing Top Constraint 00:04:00 7.2 Placing The First Floor Slab 00:05:00 7.3 Adding A Shaft Opening To The Slab 00:03:00 7.4 Selection Filter And Aligned To Selected Levels 00:07:00 Vertical Circulation 8.1 Stair By Component 00:06:00 8.2 Stair By Sketch 00:04:00 8.3 Creating Project Stair 00:07:00 8.4 Placing A Railing 00:02:00 8.5 Creating A Railing 00:07:00 Roof Component 9.1 Introduction To Roof By Footprint 00:12:00 9.2 Pitched Roof By Footprint 00:05:00 9.3 Flat Roof By Footprint 00:04:00 9.4 Roof By Extrusion 00:03:00 Curtain Walls 10.1 Introduction To Curtain Walls 00:06:00 10.2 Constructing A Curtain Wall 00:04:00 10.3 Create 'Curtain Wall - Entrance' 00:10:00 10.4 Create 'Curtain Wall - Rear' 00:05:00 10.5 Create 'Curtain Wall - Front' 00:03:00 Reflected Ceiling Plan 11.1 Introduction To Reflected Ceilings 00:06:00 11.2 Adjusting The Ceiling Position 00:01:00 11.3 Creating The First Floor Ceiling Plan 00:02:00 11.4 Adding Components To The Ceiling 00:07:00 11.5 Example Of Rendered Ceiling Components 00:02:00 Creating a 2D Detail (Callout) 12.1 Setting Up A Callout 00:04:00 12.2 Masking And Filled Regions 00:02:00 12.3 Detail Components And Repeating Detail Components 00:07:00 12.4 Placing Insulation 00:01:00 12.5 Using The Detail Line And Creating A Line Style 00:03:00 12.6 Adding Text with Leaders 00:04:00 12.7 Adding Break Lines 00:01:00 Dimensions 13.1 Introduction To Dimensions By Individual References 00:04:00 13.2 Dimension By Entire Wall 00:02:00 13.3 Witness Lines 00:01:00 13.4 Modifying A Dimension 00:01:00 Tags, Schedules & Legends 14.1 Introduction To Tags 00:04:00 14.2 Adding Information To The Tags 00:05:00 14.3 Placing Window Tags 00:05:00 14.4 Placing Wall Tags 00:02:00 14.5 Applying Tags To First Floor 00:02:00 14.6 Creating A Room And Placing Room Tags 00:09:00 14.7 Creating A Room Legend 00:03:00 14.8 Creating A Room Schedule 00:05:00 14.9 Creating A Door Schedule 00:11:00 14.10 Creating A Window Schedule 00:03:00 14.11 Creating A Door & Window Legend 00:10:00 Visualisations 15.1 Introduction To Shadows And Sun settings 00:03:00 15.2 Creating A One-Day Solar Study 00:03:00 15.3 Introduction To Rendering And Rendering First Image 00:13:00 15.4 Rendering Second Image 00:07:00 15.5 Introduction To Walkthroughs 00:06:00 15.6 Modifying A Walkthrough 00:02:00 15.7 Creating A Walkthrough Over Two Levels 00:06:00 Create Sheets & Print 16.1 Opening A Sheet And Overview Of The Title-Block 00:02:00 16.2 Setting Up A Sheet part 1 00:09:00 16.3 Setting Up A Sheet Part 2 00:09:00 16.5 Loading An A2 Title-Block 00:03:00 16.6 Duplicating Views 00:03:00 16.7 Page Setup & Printing 00:03:00 Assessment Assessment - Autodesk Revit 00:10:00 Certificate of Achievement Certificate of Achievement 00:00:00

Learn to use vulnerability to live an authentic and courageous life.

Learn a balanced approached to celebrating wins and setting goals.

Learn how to work with your inner voice so that you can lead your life more confidently and harmoniously.

Learn three practices to fully enjoy the present.

Learn to build a growth mindset to achieve more of what you want.

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

Become the Microsoft Excel Magician and Impress Everyone! Do you want to be the go-to person in your office for Microsoft Excel? Do you want to be able to complete tasks in seconds that would take others hours? If so, then you need to master the magic of Microsoft Excel functions and formulas. In this Microsoft Excel 2019 course, you will learn everything you need to know to become an Microsoft Excel magician. You will learn how to use the most powerful functions and formulas in Microsoft Excel to automate your work, analyse data, and create stunning visualisations. Why would you choose the Microsoft Excel course: Lifetime access to Microsoft Excel course materials Full tutor support is available from Monday to Friday with the Microsoft Excel course Learn Microsoft Excel skills at your own pace from the comfort of your home Gain a complete understanding of Microsoft Excel course Accessible, informative Microsoft Excel learning modules designed by experts Get 24/7 help or advice from our email and live chat teams with Microsoft Excel Study Microsoft Excel in your own time through your computer, tablet or mobile device. A 100% learning satisfaction guarantee with your Microsoft Excel course Microsoft Excel Specialist - Advanced Microsoft Excel Formulas and Functions Curriculum Breakdown Microsoft Excel 2019 New Features Getting Started with Microsoft Excel Performing Calculations Modifying a Worksheet Formatting a Worksheet Printing Workbooks Managing Workbooks Working with Microsoft Excel Functions Working with Lists Analyzing Data with Microsoft Excel Visualizing Data with Charts Using PivotTables and PivotCharts Working with Multiple Worksheets and Workbooks Using Lookup Functions and Formula Auditing Sharing and Protecting Workbooks Automating Workbook Functionality Creating Sparklines and Mapping Data Forecasting Data with Microsoft Excel CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Microsoft Excel course helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Microsoft Excel. It is also great for professionals who are already working in Microsoft Excel and want to get promoted at work. Requirements To enrol in this Microsoft Excel Specialist - Advanced Excel Formulas and Functions course, all you need is a basic understanding of the English Language and an internet connection. Career path The Microsoft Excel Specialist - Advanced Excel Formulas and Functions course will enhance your knowledge and improve your confidence in exploring opportunities in various sectors related to Excel Specialist - Advanced Excel Formulas and Functions. Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each

This course starts with the basics then moves seamlessly to an intermediate level. It includes a comprehensive yet balanced look at the four main components that make up Power BI Desktop: Report view, Data view, Model view, and the Power Query Editor. It also demonstrates how to use the online Power BI service. It looks at authoring tools that enables you to connect to and transform data from a variety of sources, allowing you to produce dynamic reports using a library of visualisations. Once you have those reports, the course looks at the seamless process of sharing those with your colleagues by publishing to the online Power BI service. The aim of this course is to provide a strong understanding of the Power BI analysis process, by working with real-world examples that will equip you with the necessary skills to start applying your knowledge straight away. 1 Getting started The Power BI process Launching Power BI Desktop The four views of Power BI Dashboard visuals 2 Connecting to files Connect to data sources Connect to an Excel file Connect to a CSV file Connect to a database Import vs. DirectQuery Connect to a web source Create a data table 3 Transforming data The process of cleaning data Column data types Remove rows with filters Add a custom column Append data to a table Fix error issues Basic maths operations 4 Build a data model Table relationships Manage table relationships 5 Merge queries Table join kinds Merging tables 6 Create report visualisations Creating map visuals Formatting maps Creating chart visuals Formatting chart Tables, matrixes, and cards Control formatting with themes Filter reports with slicers Reports for mobile devices Custom online visuals Export report data to Excel 7 The power query editor Fill data up and down Split columns by delimiter Add conditional columns Merging columns 8 The M formula Creating M functions Create an IF function Create a query group 9 Pivot and unpivot tables Pivot tables in the query editor Pivot and append tables Pivot but don't summarise Unpivot tables Append mismatched headers 10 Data modelling revisited Data model relationships Mark a calendar as a date table 11 Introduction to calculated columns New columns vs. measures Creating a new column calculation The SWITCH function 12 Introduction to DAX measures Common measure categories The SUM measure Adding measures to visuals COUNTROWS and DISINCTCOUNT functions DAX rules 13 The CALCULATE measure The syntax of CALCULATE Things of note about CALCULATE 14 The SUMX measure The SUMX measure X iterator functions Anatomy of SUMX 15 Introduction to time intelligence Importance of a calendar table A special lookup table The TOTALYTD measure Change year end in TOTALYTD 16 Hierarchy, groups and formatting Create a hierarchy to drill data Compare data in groups Add conditional formatting 17 Share reports on the web Publish to the BI online service Get quick insights Upload reports from BI service Exporting report data What is Q&A? Sharing your reports 18 Apply your learning Post training recap lesson