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The PPE Essential Training Course is a crucial skill set in today's world, where personal protective equipment (PPE) plays an indispensable role in ensuring safety across various industries. Understanding the importance of PPE through modules like risk assessment, selection, and legislation compliance is vital for safeguarding oneself and others in hazardous environments. In the UK, employers prioritize candidates with PPE expertise, offering lucrative job opportunities with salaries ranging from £20,000 to £30,000 per annum, depending on experience and sector. As industries evolve, the demand for PPE-trained professionals continues to rise, with a significant 15% increase projected over the next five years. Equipping oneself with PPE knowledge not only enhances job prospects but also fosters a safer work environment, contributing to overall industry growth and well-being. Key Features: CPD Certified Free Certificate Developed by Specialist Lifetime Access Course Curriculum: Module 01: Importance of Wearing PPE Module 02: Types of PPE Module 03: Risk Assessment, Selection and Use Module 04: Maintenance of PPE Module 05: PPE Legislations Module 06: PPE in Healthcare Module 07: Safe Handling of PPE Learning Outcomes: Recognize the significance of PPE in workplace safety protocols. Identify various types of PPE and their specific applications. Conduct risk assessments to determine appropriate PPE selection. Demonstrate proper use and maintenance procedures for different PPE. Comprehend relevant legislation governing PPE usage in occupational settings. Apply PPE protocols effectively in healthcare and other specialized environments. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This PPE Essential Training course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of PPE Essential Training. Moreover, this course is ideal for: Employees across industries requiring PPE for safety compliance. Supervisors responsible for enforcing PPE protocols in the workplace. Health and safety officers seeking comprehensive PPE knowledge. Healthcare professionals needing to understand PPE usage and regulations. Students studying occupational health and safety or related fields. Requirements There are no requirements needed to enrol into this PPE Essential Training course. We welcome individuals from all backgrounds and levels of experience to enrol into this PPE Essential Training course. Career path After finishing this PPE Essential Training course you will have multiple job opportunities waiting for you. Some of the following Job sectors of PPE Essential Training are: Health and Safety Officer- £25K to £45K/year Construction Site Manager- £30K to £50K/year Environmental Health Officer- £28K to £45K/year Occupational Health Advisor- £30K to £50K/year Industrial Hygienist- £30K to £45K/year Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Enrolling in the Effective Writing Skills Diploma Course equips individuals with the necessary tools to excel in modern communication. In today's world, where written communication is ubiquitous, mastering writing skills is imperative. This Writing course delves into the fundamentals of effective writing, covering various aspects such as the writing process, editing, and writing for diverse purposes. It not only enhances daily communication but also amplifies professional prospects. In the UK job market, employers value proficient writers who can articulate ideas clearly. With this diploma, job opportunities expand across sectors, from marketing to journalism, with salaries averaging at £30,000 annually. The demand for skilled writers is on the rise, with a notable increase of 15% in job postings requiring writing expertise. By honing these essential skills, individuals gain a competitive edge in the workforce, fostering success in both personal and professional endeavors. Key Features: CPD Certified Effective Writing Skills Course Developed by Specialist Lifetime Access Course Curriculum: Module 01: Introduction to Effective Writing Module 02: Essentials of Effective Writing Module 03: Writing Process Module 04: Writing for Different Purposes Module 05: Editing and Proofreading Module 06: Advanced Writing Learning Outcomes: Craft compelling intros using effective writing techniques for diverse audiences. Apply essential elements in writing, showcasing clarity, conciseness, and coherence. Execute a structured writing process, from ideation to final polished drafts. Tailor writing styles adeptly for various purposes, from informative to persuasive. Hone editing and proofreading skills, ensuring polished and error-free written communication. Elevate writing to an advanced level, demonstrating nuanced language and sophisticated expression. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Effective Writing Skills Diploma course is accessible to anyone eager to learn more about this topic. Through this Writing course, you'll gain a solid understanding of Effective Writing Skills Diploma. Moreover, this course is ideal for: Aspiring Writers seeking fundamental and advanced writing proficiency. Communication Enthusiasts aiming to enhance their written expression skills. Students and Graduates wanting to refine their writing abilities. Professionals across industries keen on improving their communication through writing. Anyone desiring a comprehensive understanding of effective written communication. Requirements There are no requirements needed to enrol into this Effective Writing Skills Diploma course. We welcome individuals from all backgrounds and levels of experience to enrol into this Effective Writing Skills Diploma course. Career path After finishing this Effective Writing Skills Diploma course you will have multiple job opportunities waiting for you. Some of the following Job sectors of Effective Writing Skills Diploma are: Content Writer - £20K to 35K/year. Copywriter - £25K to 40K/year. Technical Writer - £30K to 45K/year. Editor - £25K to 40K/year. Communications Officer - £25K to 40K/year. Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

Delve into the world of data analysis with 'R Programming for Data Science,' a course designed to guide learners through the intricacies of R, a premier programming language in the data science domain. The course opens with a broad perspective on data science, illuminating the pivotal role of R in this field. Learners are then introduced to R and RStudio, equipping them with the foundational tools and interfaces essential for R programming. The curriculum progresses with an introduction to the basics of R, ensuring learners grasp the core principles that underpin more complex operations. A highlight of this course is its in-depth exploration of R's versatile data structures, including vectors, matrices, factors, and data frames. Each unit is crafted to provide learners with a comprehensive understanding of these structures, pivotal for effective data handling and manipulation. The course also emphasizes the importance of relational and logical operators in R, key elements for executing data operations. As the course advances, learners will engage with the nuances of conditional statements and loops, essential for writing efficient and dynamic R scripts. Moving into more advanced territories, the course delves into the creation and usage of functions, an integral part of R programming, and the exploration of various R packages that extend the language's capabilities. Learners will also gain expertise in the 'apply' family of functions, crucial for streamlined data processing. Further units cover regular expressions and effective strategies for managing dates and times in data sets. The course concludes with practical applications in data acquisition, cleaning, visualization, and manipulation, ensuring learners are well-prepared to tackle real-world data science challenges using R. Learning Outcomes Develop a foundational understanding of R's role in data science and proficiency in RStudio. Gain fluency in R programming basics, enabling the handling of complex data tasks. Acquire skills in managing various R data structures for efficient data analysis. Master relational and logical operations for advanced data manipulation in R. Learn to create functions and utilize R packages for expanded analytical capabilities. Why choose this R Programming for Data Science 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 R Programming for Data Science course for? Beginners in data science eager to learn R programming. Data analysts and scientists looking to enhance their skills in R. Researchers in various fields requiring advanced data analysis tools. Statisticians seeking to adopt R for more sophisticated data manipulations. Professionals in finance, healthcare, and other sectors needing data-driven insights. Career path Data Scientist (R Expertise): £30,000 - £70,000 Data Analyst (R Programming Skills): £27,000 - £55,000 Bioinformatics Scientist (R Proficiency): £35,000 - £60,000 Quantitative Analyst (R Knowledge): £40,000 - £80,000 Research Analyst (R Usage): £25,000 - £50,000 Business Intelligence Developer (R Familiarity): £32,000 - £65,000 Prerequisites This R Programming for Data Science does not require you to have any prior qualifications or experience. You can just enrol and start learning.This R Programming for Data Science 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 Unit 01: Data Science Overview Introduction to Data Science 00:01:00 Data Science: Career of the Future 00:04:00 What is Data Science? 00:02:00 Data Science as a Process 00:02:00 Data Science Toolbox 00:03:00 Data Science Process Explained 00:05:00 What's next? 00:02:00 Unit 02: R and RStudio Engine and coding environment 00:03:00 Installing R and RStudio 00:04:00 RStudio: A quick tour 00:04:00 Unit 03: Introduction to Basics Arithmetic with R 00:03:00 Variable assignment 00:04:00 Basic data types in R 00:03:00 Unit 04: Vectors Creating a vector 00:05:00 Naming a vector 00:04:00 Arithmetic calculations on vectors 00:07:00 Vector selection 00:06:00 Selection by comparison 00:04:00 Unit 05: Matrices What's a Matrix? 00:02:00 Analyzing Matrices 00:03:00 Naming a Matrix 00:05:00 Adding columns and rows to a matrix 00:06:00 Selection of matrix elements 00:03:00 Arithmetic with matrices 00:07:00 Additional Materials 00:00:00 Unit 06: Factors What's a Factor? 00:02:00 Categorical Variables and Factor Levels 00:04:00 Summarizing a Factor 00:01:00 Ordered Factors 00:05:00 Unit 07: Data Frames What's a Data Frame? 00:03:00 Creating Data Frames 00:20:00 Selection of Data Frame elements 00:03:00 Conditional selection 00:03:00 Sorting a Data Frame 00:03:00 Additional Materials 00:00:00 Unit 08: Lists Why would you need lists? 00:01:00 Creating a List 00:06:00 Selecting elements from a list 00:03:00 Adding more data to the list 00:02:00 Additional Materials 00:00:00 Unit 09: Relational Operators Equality 00:03:00 Greater and Less Than 00:03:00 Compare Vectors 00:03:00 Compare Matrices 00:02:00 Additional Materials 00:00:00 Unit 10: Logical Operators AND, OR, NOT Operators 00:04:00 Logical operators with vectors and matrices 00:04:00 Reverse the result: (!) 00:01:00 Relational and Logical Operators together 00:06:00 Additional Materials 00:00:00 Unit 11: Conditional Statements The IF statement 00:04:00 IFELSE 00:03:00 The ELSEIF statement 00:05:00 Full Exercise 00:03:00 Additional Materials 00:00:00 Unit 12: Loops Write a While loop 00:04:00 Looping with more conditions 00:04:00 Break: stop the While Loop 00:04:00 What's a For loop? 00:02:00 Loop over a vector 00:02:00 Loop over a list 00:03:00 Loop over a matrix 00:04:00 For loop with conditionals 00:01:00 Using Next and Break with For loop 00:03:00 Additional Materials 00:00:00 Unit 13: Functions What is a Function? 00:02:00 Arguments matching 00:03:00 Required and Optional Arguments 00:03:00 Nested functions 00:02:00 Writing own functions 00:03:00 Functions with no arguments 00:02:00 Defining default arguments in functions 00:04:00 Function scoping 00:02:00 Control flow in functions 00:03:00 Additional Materials 00:00:00 Unit 14: R Packages Installing R Packages 00:01:00 Loading R Packages 00:04:00 Different ways to load a package 00:02:00 Additional Materials 00:00:00 Unit 15: The Apply Family - lapply What is lapply and when is used? 00:04:00 Use lapply with user-defined functions 00:03:00 lapply and anonymous functions 00:01:00 Use lapply with additional arguments 00:04:00 Additional Materials 00:00:00 Unit 16: The apply Family - sapply & vapply What is sapply? 00:02:00 How to use sapply 00:02:00 sapply with your own function 00:02:00 sapply with a function returning a vector 00:02:00 When can't sapply simplify? 00:02:00 What is vapply and why is it used? 00:04:00 Additional Materials 00:00:00 Unit 17: Useful Functions Mathematical functions 00:05:00 Data Utilities 00:08:00 Additional Materials 00:00:00 Unit 18: Regular Expressions grepl & grep 00:04:00 Metacharacters 00:05:00 sub & gsub 00:02:00 More metacharacters 00:04:00 Additional Materials 00:00:00 Unit 19: Dates and Times Today and Now 00:02:00 Create and format dates 00:06:00 Create and format times 00:03:00 Calculations with Dates 00:03:00 Calculations with Times 00:07:00 Additional Materials 00:00:00 Unit 20: Getting and Cleaning Data Get and set current directory 00:04:00 Get data from the web 00:04:00 Loading flat files 00:03:00 Loading Excel files 00:05:00 Additional Materials 00:00:00 Unit 21: Plotting Data in R Base plotting system 00:03:00 Base plots: Histograms 00:03:00 Base plots: Scatterplots 00:05:00 Base plots: Regression Line 00:03:00 Base plots: Boxplot 00:03:00 Unit 22: Data Manipulation with dplyr Introduction to dplyr package 00:04:00 Using the pipe operator (%>%) 00:02:00 Columns component: select() 00:05:00 Columns component: rename() and rename_with() 00:02:00 Columns component: mutate() 00:02:00 Columns component: relocate() 00:02:00 Rows component: filter() 00:01:00 Rows component: slice() 00:04:00 Rows component: arrange() 00:01:00 Rows component: rowwise() 00:02:00 Grouping of rows: summarise() 00:03:00 Grouping of rows: across() 00:02:00 COVID-19 Analysis Task 00:08:00 Additional Materials 00:00:00 Assignment Assignment - R Programming for Data Science 00:00:00

The Woodworking Essentials Course is crucial in today's world as it equips you with fundamental skills in woodworking, a craft that spans centuries and continues to be highly valued. Learning woodworking not only enhances your creativity and problem-solving abilities but also provides practical applications in daily life and professional careers. By mastering woodworking techniques across modules such as precision layout, hand and power tools proficiency, joinery, and wood finishing, you gain the expertise to create functional and aesthetic pieces. In the UK job market, woodworking skills are in demand across various sectors, from furniture making to construction, with opportunities reflecting this demand. Entry-level salaries for woodworking positions start around £20,000 annually, with experienced craftsmen earning significantly more. The woodworking sector is growing steadily, with a rise in demand for bespoke craftsmanship and sustainable furniture solutions, increasing by approximately 5% annually. By enrolling in this Woodworking Essentials course, you not only learn essential woodworking skills but also position yourself for a rewarding career path in a thriving industry. Whether you aspire to work independently as a craftsman or seek employment in established woodworking businesses, mastering these skills opens doors to fulfilling and lucrative opportunities in the modern job market. Key Features: CPD Certified Woodworking Essentials Course Free Certificate Developed by Specialist Lifetime Access Course Curriculum Module 01: Introduction to Woodworking Module 02: Measurement and Precision Layout Module 03: Mastery of Hand Tools in Woodworking Module 04: Proficiency with Power Tools Module 05: Precision in Joinery Techniques Module 06: Wood Finishing Techniques Module 07: Advanced Wood Refinishing Module 08: Advanced Techniques in Woodworking Craftsmanship Learning Outcomes: Master the foundational principles with "Introduction to Woodworking" for creative craftsmanship. Apply precise techniques in "Measurement and Layout" for accurate wood shaping. Perfect your artistry with both "Hand Tools" and "Power Tools for Woodworking." Explore intricate connections through diverse "Joinery Techniques" for robust structures. Elevate your creations with the aesthetic touch of "Wood Finishing and Refinishing." Advance your skills with "Advanced Woodworking Techniques" for bespoke masterpieces. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Woodworking Essentials course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of Woodworking Essentials. Moreover, this course is ideal for: Enthusiasts seeking to craft functional and artistic wooden pieces at home. DIY hobbyists eager to enhance woodworking skills for personal projects. Artisans aspiring to refine their craft and explore advanced woodworking methods. Individuals with a passion for handmade furniture and custom wood creations. Anyone keen on mastering essential woodworking skills for a fulfilling hobby. Requirements There are no requirements needed to enrol into this Woodworking Essentials course. We welcome individuals from all backgrounds and levels of experience to enrol into this Woodworking Essentials course. Career path After finishing this Woodworking Essentials course you will have multiple job opportunities waiting for you. Some of the following Job sectors of Woodworking Essentials are: Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

The Statistical Analysis Training Course is pivotal in the modern world, offering essential skills that are increasingly demanded across various industries. As businesses and organizations generate vast amounts of data, the ability to analyze and interpret this data becomes crucial. Learning from The Statistical Analysis Training Course equips individuals with expertise in key areas such as probability, hypothesis testing, regression analysis, and predictive analytics, enhancing their employability. In the UK, proficiency gained from this Statistical Analysis Training course can significantly boost job opportunities, with data analysts and statisticians earning an average salary of £35,000 to £50,000 annually. The demand for statistical analysis skills is on the rise, with the sector experiencing a growth rate of 33% over the past five years. Advantages of the Statistical Analysis Training course include a comprehensive understanding of both foundational and advanced statistical concepts, which are integral in roles across finance, healthcare, marketing, and technology. The Statistical Analysis Training Course ensures that learners are well-versed in modern analytical techniques, making them valuable assets in a data-driven economy. As the importance of data analytics continues to grow, so does the value of this training, making it an indispensable tool for career advancement. Key Features: CPD Certified Statistical Analysis Course Free Certificate Developed by Specialist Lifetime Access Course Curriculum: Statistical Analysis Training Module 01: The Realm of Statistics Module 02: Basic Statistical Terms Module 03: The Center of the Data Module 04: Data Variability Module 05: Binomial and Normal Distributions Module 06: Introduction to Probability Module 07: Estimates and Intervals Module 08: Hypothesis Testing Module 09: Regression Analysis Module 10: Algorithms, Analytics and Predictions Module 11: Learning From Experience: The Bayesian Way Module 12: Doing Statistics: The Wrong Way Module 13: How We Can Do Statistics Better Learning Outcomes: Grasp fundamental statistical concepts for data analysis proficiency. Understand measures of central tendency and dispersion in datasets. Apply probability theory to make informed statistical decisions. Utilize hypothesis testing techniques to draw meaningful conclusions. Master regression analysis for predictive modelling and trend identification. Embrace Bayesian methods and enhance statistical inference capabilities. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Statistical Analysis Training course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of Statistical Analysis Training. Moreover, this course is ideal for: Aspiring data analysts seeking statistical foundations for career advancement. Professionals in research roles aiming to refine statistical analysis skills. Students pursuing degrees in mathematics, economics, or related disciplines. Business professionals looking to leverage data-driven insights for strategic decisions. Anyone interested in enhancing statistical literacy and analytical reasoning abilities. Requirements There are no requirements needed to enrol into this Statistical Analysis Training course. We welcome individuals from all backgrounds and levels of experience to enrol into this Statistical Analysis Training course. Career path After finishing this Statistical Analysis Training course you will have multiple job opportunities waiting for you. Some of the following Job sectors of Statistical Analysis Training are: Data Analyst - £30K to £45K/year. Statistician - £35K to £50K/year. Market Research Analyst - £25K to £40K/year. Business Intelligence Analyst - £35K to £55K/year. Healthcare Data Analyst - £30K to £50K/year. Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

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 Microsoft Power BI Masterclass 2021 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 Microsoft Power BI Masterclass 2021 Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Microsoft Power BI Masterclass 2021 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 Microsoft Power BI Masterclass 2021 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 Microsoft Power BI Masterclass 2021? 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 Microsoft Power BI Masterclass 2021 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 Microsoft Power BI Masterclass 2021 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 Microsoft Power BI Masterclass 2021 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Microsoft Power BI Masterclass 2021 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 Microsoft Power BI Masterclass 2021 is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Introduction Welcome! 00:01:00 What is Power BI? 00:03:00 Download & Installing Power BI Desktop 00:04:00 Getting to know the interface 00:03:00 Mini Project: Transform Data 00:07:00 Mini Project: Visualize Data 00:05:00 Mini Project: Creating a Data Model 00:07:00 Course Outline: What will you learn in this course? 00:05:00 How to learn best with this course? 00:03:00 Section 02: Preparing our Project Creating our initial project file 00:04:00 Working with the attached project files 00:04:00 Section 03: Data Transformation - The Query Editor Exploring the Query Editor 00:06:00 Connecting to our data source 00:07:00 Editing rows 00:08:00 Changing data types 00:08:00 Replacing values 00:03:00 Close & Apply 00:03:00 Connecting to a csv file 00:03:00 Connecting to a web page 00:05:00 Extracting characters 00:06:00 Splitting & merging columns 00:09:00 Creating conditional columns 00:06:00 Creating columns from examples 00:09:00 Merging Queries 00:17:00 Pivoting & Unpivoting 00:06:00 Appending Queries 00:08:00 Practice & Solution: Population table 00:15:00 The Fact-Dimension-Model 00:09:00 Practice: Load the dimension table 00:04:00 Organizing our queries in groups 00:03:00 Entering data manually 00:05:00 Creating an index column 00:03:00 Workflow & more transformations 00:05:00 Module summary 00:05:00 Exercise 1 - Instruction 00:02:00 Exercise Solution 00:11:00 Section 04: Data Transformation - Advanced Advanced Editor - Best practices 00:09:00 Performance: References vs. Duplicating 00:10:00 Performance: Enable / Disable Load & Report Refresh 00:05:00 Group by 00:05:00 Mathematical Operations 00:05:00 Run R Script 00:15:00 Using Parameters to dynamically transform data 00:06:00 M formula language: Basics 00:07:00 M formula language: Values, Lists & Tables 00:14:00 M formula language: Functions 00:13:00 M formula language: More functions & steps 00:05:00 Exercise 2 - Instructions 00:01:00 Exercise 2 - solution 00:05:00 Section 05: Creating a Data Model Understanding the relationship 00:05:00 Create & edit relationships 00:06:00 One-to-many & one-to-one relationship 00:06:00 Many-to-many (m:n) relationship 00:08:00 Cross filter direction 00:06:00 Activate & deactivate relationships 00:06:00 Model summary 00:03:00 Exercise 3 Create Model 00:02:00 Exercise 3 Solution 00:02:00 Section 06: Data Visualization Our first visual 00:08:00 The format tab 00:12:00 Understanding tables 00:10:00 Conditional formatting 00:09:00 The Pie Chart 00:06:00 All about the filter visual 00:13:00 The filter pane for developers 00:09:00 Cross filtering & edit interactions 00:04:00 Syncing slicers across pages 00:07:00 Creating drill downs 00:08:00 Creating drill throughs 00:07:00 The tree map visual 00:07:00 The decomposition tree 00:05:00 Understanding the matrix visual 00:05:00 Editing pages 00:07:00 Buttons & Actions 00:09:00 Bookmarks to customize your report 00:10:00 Analytics and Forecasts with line charts 00:10:00 Working with custom visuals 00:07:00 Get data using R Script & R Script visual 00:08:00 Asking questions - Q&A visual 00:04:00 Wrap up - data visualization 00:08:00 Section 07: Power BI & Python Python in Power BI - Plan of attack 00:03:00 Setting up Python for Power BI 00:03:00 Transforming data using Python 00:11:00 Creating visualizations using Python 00:08:00 Violin plots, pair plots & ridge plots using Python 00:15:00 Machine learning (BayesTextAnalyzer) using Python 00:00:00 Performance & Troubleshooting 00:03:00 Section 08: Storytelling with Data Introduction 00:01:00 Show Empathy & Identify the Requirement 00:03:00 Finding the Most Suitable KPI's 00:02:00 Choose an Effective Visualization 00:04:00 Make Use of Natural Reading Pattern 00:03:00 Tell a Story Using Visual Cues 00:05:00 Avoid Chaos & Group Information 00:02:00 Warp Up - Storytelling with Data 00:02:00 Section 09: DAX - The Essentials Introduction 00:03:00 The project data 00:04:00 Measures vs. Calculated Columns 00:15:00 Automatically creating a date table in DAX 00:08:00 CALENDAR 00:05:00 Creating a complete date table with features 00:04:00 Creating key measure table 00:03:00 Aggregation functions 00:06:00 The different versions of COUNT 00:14:00 SUMX - Row based calculations 00:09:00 Section 10: DAX - The CALCULATE function CALCULATE - The basics 00:11:00 Changing the context with FILTER 00:07:00 ALL 00:08:00 ALL SELECTED 00:03:00 ALL EXCEPT 00:07:00 Section 11: Power BI Service - Power BI Cloud How to go on now? 00:03:00 Power BI Pro vs Premium & Signing up 00:04:00 Exploring the interface 00:04:00 Discovering your workspace 00:03:00 Connecting Power BI Desktop & Cloud 00:04:00 Understanding datasets & reports 00:03:00 Working on reports 00:04:00 Updating reports from Power BI Desktop 00:04:00 Creating and working with workspaces 00:07:00 Installing & using a data gateway 00:13:00 Get Quick Insights 00:03:00 Creating dashboards 00:04:00 Sharing our results through Apps 00:10:00 Power BI Mobile App 00:05:00 Creating the layout for the Mobile App 00:04:00 Wrap up - Power BI Cloud 00:07:00 Section 12: Row-Level Security Introduction 00:03:00 Creating a Row-Level Security 00:05:00 Row-Level Security in the Cloud 00:04:00 Row-Level Security & Data Model 00:05:00 Dynamic Row-Level Security 00:07:00 Dynamic Many-to-Many RLS 00:04:00 Hierarchical Row-Level Security 00:13:00 Section 13: More data sources JSON & REST API 00:10:00 Setting up a local MySQL database 00:14:00 Connecting to a MySQL database in Power BI 00:05:00 Connecting to a SQL database (PostgreSQL) 00:05:00 Section 14: Next steps to improve & stay up to date Congratulations & next steps 00:06:00 The End 00:01:00 Resources Resources - Microsoft Power BI Masterclass 2021 00:00:00 Assignment Assignment - Microsoft Power BI 00:00:00

In the modern world, the CAD Designer course holds immense significance, serving as a gateway to lucrative career opportunities, particularly in the United Kingdom. CAD, or Computer-Aided Design, has become indispensable across various industries, from architecture to engineering, as it revolutionizes the way designs are conceptualized and brought to life. Learning AutoCAD and CAD skills through this comprehensive curriculum not only equips individuals with the fundamentals of CAD design but also hones their abilities in 2D and 3D modeling, geometry, assemblies, and various software platforms like SolidWorks and FreeCAD. In the UK job market, proficiency in CAD design opens doors to a multitude of roles with competitive salaries. Entry-level CAD designers can expect to earn around £25,000 per annum, with experienced professionals commanding salaries upwards of £40,000. The demand for CAD designers is on the rise, with a projected increase of 9% in job opportunities, reflecting the growing reliance on digital design technologies across industries. Thus, investing in this CAD Designer course not only augments one's skill set but also secures a promising career trajectory in a dynamic and expanding sector. Key Features: CPD Certified AutoCAD Designer Course Free Certificate Developed by Specialist Lifetime Access Course Curriculum Module 01: Introduction to CAD Design Module 02: CAD Designer Career in the United Kingdom Module 03: Basics for CAD Design - Part 1 Module 04: Basics for CAD Design - Part 2 Module 05: 2D Shape in CAD Module 06: 3D Shape in CAD Module 07: Geometry and Modelling Module 08: Assemblies in CAD Design Module 09: Extrusion and Rotations Module 10: Blending Operations in CAD Module 11: Grids and Regular Polygons Module 12: Parameters in Civil Drawings Module 13: Introduction to AutoCAD Module 14: Introduction to T-Flex CAD Module 15: Introduction to SolidWorks Module 16: Introduction to FreeCAD Learning Outcomes: Master 2D and 3D shape creation techniques using CAD software. Understand geometric principles and apply them to modelling projects effectively. Learn assembly techniques to construct complex designs efficiently. Develop proficiency in extrusion, rotation, and blending operations within CAD. Gain expertise in creating regular polygons and grids for precision drafting. Acquire essential skills in using AutoCAD, T-Flex CAD, and SolidWorks software. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This CAD Designer course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of CAD Designer. Moreover, this course is ideal for: Aspiring CAD designers seeking comprehensive software proficiency. Individuals interested in pursuing a career in engineering or architecture. Students aiming to enhance their technical drawing and modelling abilities. Professionals looking to expand their skill set in computer-aided design. Anyone keen on mastering CAD software for personal or professional projects. Requirements There are no requirements needed to enrol into this CAD Designer course. We welcome individuals from all backgrounds and levels of experience to enrol into this CAD Designer course. Career path After finishing this CAD Designer course you will have multiple job opportunities waiting for you. Some of the the following Job sectors of CAD Designer are: CAD Technician - £20K to £35K/year. Design Engineer - £25K to £45K/year. Architectural Technologist - £22K to £40K/year. Mechanical Designer - £23K to £45K/year. Product Designer - £22K to £40K/year. Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Are you embarking on the journey of mastering data analytics and visualisation in the UK? The 'Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7' is your beacon. Positioned to illuminate the intricate realm of Power BI, this course offers a comprehensive look into the foundational aspects and the advanced features that make Microsoft's tool a standout. With sections meticulously designed ranging from the fundamentals, like data transformation, to advanced concepts, such as integrating Power BI with Python and storytelling with data, this course ensures learners grasp the complete spectrum. With the rising emphasis on data analytics in today's business world, this course acquaints you with Power BI's prowess. It prepares you for the sought-after Microsoft Power BI certification in the UK. Learning Outcomes Comprehend the fundamental aspects of Power BI, from initiating a project to understanding the user interface. Develop proficiency in advanced data transformation techniques and data model creation. Integrate Python with Power BI and harness the benefits of both for enhanced data analytics. Master the art of 'Storytelling with Data' to deliver impactful presentations and reports. Understand and implement Row-Level Security and harness Power BI Cloud services efficiently. Why choose this Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7? 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 Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 for? Individuals keen on obtaining the Microsoft power bi certification UK. Analysts and data professionals aspiring to enhance their data visualisation skills. Business professionals wanting to leverage Power BI for insightful business decision-making. Tech enthusiasts aiming to amalgamate programming (Python) with data analytics. Those seeking to stay updated with the latest trends in Power BI and its evolving capabilities. Career path Data Analyst: Average Salary £30,000 - £40,000 Annually Business Intelligence Developer: Average Salary £35,000 - £45,000 Annually Power BI Developer: Average Salary £40,000 - £50,000 Annually Data Visualisation Specialist: Average Salary £32,000 - £42,000 Annually Business Intelligence Manager: Average Salary £45,000 - £55,000 Annually Data Strategy Consultant: Average Salary £50,000 - £60,000 Annually Prerequisites This Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 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 £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: Introduction Welcome! 00:01:00 What is Power BI? 00:03:00 Download & Installing Power BI Desktop 00:04:00 Getting to know the interface 00:03:00 Mini Project: Transform Data 00:07:00 Mini Project: Visualize Data 00:05:00 Mini Project: Creating a Data Model 00:07:00 Course Outline: What will you learn in this course? 00:05:00 How to learn best with this course? 00:03:00 Section 02: Preparing our Project Creating our initial project file 00:04:00 Working with the attached project files 00:04:00 Section 03: Data Transformation - The Query Editor Exploring the Query Editor 00:06:00 Connecting to our data source 00:07:00 Editing rows 00:08:00 Changing data types 00:08:00 Replacing values 00:03:00 Close & Apply 00:03:00 Connecting to a csv file 00:03:00 Connecting to a web page 00:05:00 Extracting characters 00:06:00 Splitting & merging columns 00:09:00 Creating conditional columns 00:06:00 Creating columns from examples 00:09:00 Merging Queries 00:17:00 Pivoting & Unpivoting 00:06:00 Appending Queries 00:08:00 Practice & Solution: Population table 00:15:00 The Fact-Dimension-Model 00:09:00 Practice: Load the dimension table 00:04:00 Organizing our queries in groups 00:03:00 Entering data manually 00:05:00 Creating an index column 00:03:00 Workflow & more transformations 00:05:00 Module summary 00:05:00 Exercise 1 - Instruction 00:02:00 Exercise Solution 00:11:00 Section 04: Data Transformation - Advanced Advanced Editor - Best practices 00:09:00 Performance: References vs. Duplicating 00:10:00 Performance: Enable / Disable Load & Report Refresh 00:05:00 Group by 00:05:00 Mathematical Operations 00:05:00 Run R Script 00:15:00 Using Parameters to dynamically transform data 00:06:00 M formula language: Basics 00:07:00 M formula language: Values, Lists & Tables 00:14:00 M formula language: Functions 00:13:00 M formula language: More functions & steps 00:05:00 Exercise 2 - Instructions 00:01:00 Exercise 2 - solution 00:05:00 Section 05: Creating a Data Model Understanding the relationship 00:05:00 Create & edit relationships 00:06:00 One-to-many & one-to-one relationship 00:06:00 Many-to-many (m:n) relationship 00:08:00 Cross filter direction 00:06:00 Activate & deactivate relationships 00:06:00 Model summary 00:03:00 Exercise 3 Create Model 00:03:00 Exercise 3 Solution 00:02:00 Section 06: Data Visualization Our first visual 00:08:00 The format tab 00:12:00 Understanding tables 00:10:00 Conditional formatting 00:09:00 The Pie Chart 00:06:00 All about the filter visual 00:13:00 The filter pane for developers 00:09:00 Cross filtering & edit interactions 00:04:00 Syncing slicers across pages 00:07:00 Creating drill downs 00:08:00 Creating drill throughs 00:07:00 The tree map visual 00:07:00 The decomposition tree 00:05:00 Understanding the matrix visual 00:05:00 Editing pages 00:07:00 Buttons & Actions 00:09:00 Bookmarks to customize your report 00:10:00 Analytics and Forecasts with line charts 00:10:00 Working with custom visuals 00:07:00 Get data using R Script & R Script visual 00:08:00 Asking questions - Q&A visual 00:04:00 Wrap up - data visualization 00:08:00 Section 07: Power BI & Python Python in Power BI - Plan of attack 00:03:00 Setting up Python for Power BI 00:03:00 Transforming data using Python 00:11:00 Creating visualizations using Python 00:08:00 Violin plots, pair plots & ridge plots using Python 00:15:00 Machine learning (BayesTextAnalyzer) using Python 00:00:00 Performance & Troubleshooting 00:03:00 Section 08: Storytelling with Data Introduction 00:01:00 Show Empathy & Identify the Requirement 00:03:00 Finding the Most Suitable KPI's 00:02:00 Choose an Effective Visualization 00:04:00 Make Use of Natural Reading Pattern 00:03:00 Tell a Story Using Visual Cues 00:05:00 Avoid Chaos & Group Information 00:02:00 Warp Up - Storytelling with Data 00:02:00 Section 09: DAX - The Essentials Introduction 00:03:00 The project data 00:04:00 Measures vs. Calculated Columns 00:15:00 Automatically creating a date table in DAX 00:08:00 CALENDAR 00:05:00 Creating a complete date table with features 00:04:00 Creating key measure table 00:03:00 Aggregation functions 00:06:00 The different versions of COUNT 00:14:00 SUMX - Row based calculations 00:09:00 Section 10: DAX - The CALCULATE function CALCULATE - The basics 00:11:00 Changing the context with FILTER 00:07:00 ALL 00:08:00 ALL SELECTED 00:03:00 ALL EXCEPT 00:07:00 Section 11: Power BI Service - Power BI Cloud How to go on now? 00:03:00 Power BI Pro vs Premium & Signing up 00:04:00 Exploring the interface 00:04:00 Discovering your workspace 00:03:00 Connecting Power BI Desktop & Cloud 00:04:00 Understanding datasets & reports 00:03:00 Working on reports 00:04:00 Updating reports from Power BI Desktop 00:04:00 Creating and working with workspaces 00:07:00 Installing & using a data gateway 00:13:00 Get Quick Insights 00:03:00 Creating dashboards 00:04:00 Sharing our results through Apps 00:10:00 Power BI Mobile App 00:05:00 Creating the layout for the Mobile App 00:04:00 Wrap up Power BI Cloud 00:07:00 Section 12: Row-Level Security Introduction 00:03:00 Creating a Row-Level Security 00:05:00 Row-Level Security in the Cloud 00:04:00 Row-Level Security & Data Model 00:05:00 Dynamic Row-Level Security 00:07:00 Dynamic Many-to-Many RLS 00:04:00 Hierarchical Row-Level Security 00:13:00 Section 13: More data sources JSON & REST API 00:10:00 Setting up a local MySQL database 00:14:00 Connecting to a MySQL database in Power BI 00:05:00 Connecting to a SQL database (PostgreSQL) 00:05:00 Section 14: Next steps to improve & stay up to date Congratulations & next steps 00:06:00 The End 00:01:00 Resources Resources - Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 00:00:00 Assignment Assignment - Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 04:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

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Course Overview: About 87% of global consumers use at least one computer or device to access the internet daily. Mastering the essentials of computer and the internet is crucial in today’s digital age. The Learning Computer and Internet Level 2 course provides an in-depth exploration of computer systems, internet functionalities, and software applications, offering you the knowledge to navigate the digital world with ease. This course covers a wide range of computer-related topics, from fundamental operating systems and hardware to advanced concepts like cybersecurity and data protection. With engaging, interactive content, you’ll gain practical skills and insights that enhance your computer proficiency and digital competence. Embark on an enlightening journey through the digital landscape. Enrol in Learning Computer and Internet Level 2 today and elevate your computer skills to thrive in a connected world! Key Features of the Course: FREE Learning Computer and Internet Level 2 CPD-accredited certificate Get a free student ID card with Learning Computer and Internet Level 2 training (£10 applicable for international delivery) Lifetime access to the Learning Computer and Internet Level 2 course materials The Learning Computer and Internet Level 2 program comes with 24/7 tutor support Get instant access to this Learning Computer and Internet Level 2 course Learn Learning Computer and Internet Level 2 training from anywhere in the world The Learning Computer and Internet Level 2 training is affordable and simple to understand The Learning Computer and Internet Level 2 training is entirely online Who is This Course For? This course is designed for individuals seeking to build upon foundational knowledge of computer and the internet. Whether a student, professional, or enthusiast, this course will elevate your proficiency. Learning Outcome Grasp the intricacies of various operating systems and their configurations. Understand the diverse range of applications and their functionalities. Navigate through storage solutions, network components, and software tools. Comprehend the concept of licensing and its implications. Become adept in word processing, spreadsheets, and creating presentations. Learn the terminologies of networking, ensuring smooth connectivity. Safeguard yourself online and understand the fundamentals of digital security. Acquire skills to use browsers, e-mails, and collaborative platforms effectively. Why Enrol in This Course: Enrolling in "Learning Computer and Internet Level 2" is your gateway to a world of opportunities and possibilities. You will develop essential skills in high demand across various industries, making you a valuable asset in the job market. Our course is top-reviewed, recently updated to reflect the latest trends, and aligns with the evolving digital landscape, ensuring you stay ahead in the digital race. Requirements: Enrolling in this Learning Computer and Internet Level 2 course requires a basic understanding of computer usage. No prior technical knowledge is needed, making it accessible to beginners and those looking to refresh their skills. Career Path: Upon completing this Learning Computer and Internet Level 2 course, you'll be well-equipped to pursue various professions in the digital domain. Here are seven course-related professions in the UK, along with their average salaries: IT Support Specialist: £25,000 - £40,000 per year Data Entry Clerk: £18,000 - £25,000 per year Digital Marketing Assistant: £20,000 - £30,000 per year Office Administrator: £18,000 - £25,000 per year Cybersecurity Analyst: £30,000 - £50,000 per year Web Developer: £25,000 - £45,000 per year Database Administrator: £30,000 - £50,000 per year Certification: Upon completing the Learning Computer and Internet Level 2 course, learners will be awarded a CPD certificate, validating their enhanced knowledge of computer and the Internet. Course Curriculum 6 sections • 81 lectures • 22:23:00 total length •What is an Operating System: 00:48:00 •Configuring the Operating System: 00:06:00 •What is an Application: 00:10:00 •Using Control Panel: 00:18:00 •Hardware and Peripherals: 00:07:00 •Storage: 00:12:00 •Connectivity Devices: 00:05:00 •Network Components: 00:09:00 •Software and Concepts: 00:11:00 •Licensing: 00:06:00 •Using Software: 00:07:00 •Software Tools: 00:10:00 •Software: 00:14:00 •Hardware, Devices, and Peripherals: 00:05:00 •Backup and Restore: 00:03:00 •Application Features: 01:21:00 •Working with Word Processing: 00:44:00 •Working with Spreadsheets: 00:49:00 •Making a Presentation: 01:08:00 •Databases: 00:34:00 •Collaboration: 00:03:00 •Course Introduction: 00:02:00 •Web Browsers: 00:46:00 •Networking Terminology: 00:35:00 •E-mail: 00:38:00 •Communicating in the Modern World: 00:14:00 •Protecting Yourself: 00:15:00 •Web Searching: 00:31:00 •Protecting Yourself: 00:31:00 •Identify Components of a Personal Computer IPU: 00:08:00 •Sign In to Windows 8: 00:07:00 •Signing In to Windows 8 and Managing Tiles: 00:08:00 •Navigate the Start Screen: 00:18:00 •Using the Account ID Menu: 00:02:00 •Access and Identify the Charms: 00:03:00 •Viewing the Charms: 00:02:00 •Modern Apps and Common Navigation Features: 00:03:00 •Navigating a Modern App: 00:07:00 •Multitasking with Apps: 00:05:00 •Working with Multiple Apps: 00:05:00 •Navigate the Desktop IPU: 00:07:00 •Navigating The desktop: 00:07:00 •Manage Files and Folders with File Explorer IPU: 00:09:00 •Managing Files and Folders: 00:15:00 •Elements of a Desktop Window: 00:12:00 •Working with the Elements of a Desktop Window: 00:10:00 •Creating and Modifying Files with Wordpad: 00:14:00 •Printing a Document: 00:05:00 •Navigate Internet Explorer 10: 00:08:00 •Navigating Internet Explorer 10: 00:09:00 •Browse the Web: 00:12:00 •Using Internet Explorer and Share: 00:08:00 •Customize the Start Screen: 00:07:00 •Creating Groups on the Start Screen: 00:03:00 •Changing PC Setting: 00:07:00 •Customize the Desktop IPU: 00:09:00 •Personalizing the Desktop: 00:11:00 •Set Privacy Levels and Passwords: 00:05:00 •Changing Your Password: 00:05:00 •Use Windows Defender IPU: 00:05:00 •Changing Windows Defender Settings: 00:06:00 •Store and Share Files with SkyDrive: 00:03:00 •What Makes Windows 10 Different?: 00:14:00 •Primary Feature Overview: 00:14:00 •Navigating and Using Windows 10: 00:36:00 •Course Overview: 00:13:00 •Types of Security Threats: 00:29:00 •Social Engineering: 00:30:00 •Identity Theft: 00:29:00 •Data Classification: 00:28:00 •Types of Classifications: 00:18:00 •Protecting Your Digital Information: 00:45:00 •Password Management: 00:13:00 •Malware: 00:17:00 •Software Detection: 00:28:00 •Security from End-to-End: 00:26:00 •Secure E-mail Use: 00:21:00 •Secure Web Browsing: 00:29:00 •Piracy: 00:16:00 •Security Policies: 00:18:00 •Moving Forward: 00:12:00