888 Data Analysis courses

Bayfield Training and the University of Cambridge Department of Land Economy This prestigious eight-week online Real Estate course is suitable for modellers new to Real Estate and experienced Real Estate Analysts looking to formalise their skill set. This course will equip you with skills to start building your own financial models and the certificate will give your employers and colleagues reassurance of your expertise. If you want to enhance your financial modelling skills over an extended period, the Real Estate Financial Modelling Certificate is the course for you. This online real estate course has been put together exclusively for the Real Estate Financial Modelling certificate, using state of the art digital resources such as animations, video-steps, digital whiteboard and video-interactions as well as the spreadsheets, text based resources and tutor contact you would expect from any of Bayfield Training’s classroom based courses.  Assessment is in the form of a guided model build exercise and written model appraisal. Participants benefit from an additional months access to the course platform after submission of the assessment. ON THIS COURSE YOU WILL: * Become a competent model builder, building Real Estate Financial Models from scratch * Learn tricks and concepts from financial modelling experts with decades of experience in practice and academia * Learn how to use Real Estate Financial Models to make informed investment decisions * Learn at a consistent pace over 8 weeks allowing you to take the time to fully grasp this important skill THIS COURSE IS SUITABLE FOR: * Chartered Surveyors * Asset Managers * Financial Controllers * Financial Analysts * Investment Managers * Property Managers * Real Estate Students/Recent Graduates Course Outline: Module 1 - Economic Context Introduction to Real Estate Asset Modelling and how it relates to and is distinct from Econometric Models. * Introduction to Real Estate Asset Modelling and how it relates to and is distinct from Econometric Models. * Why Real Estate Asset Modelling is important * Understanding the occupier, asset and development markets and the relevant modelling approaches for each * Real Estate Sub-Sector Key Performance Indicators * Introduction to conventional valuations and financial mathematics * Understanding and minimising errors in Financial Models Module 2 - Cash Flow Fundamentals Constructing a financial model from first principles. * Understanding all the components of a basic cash flow model * Understand why Corporate Finance Models and Real Estate Models are different * Financial Model Design * Making the link between valuations, income mathematics and discounted cash flows * Internal Rate of Return, Net Present Value,Worth and other metrics * Features and techniques to aid fast model building Module 3 - Developing the Cash Flow Adapting financial models for different periodicities and building rent functions for different rent behaviour. * Understanding how leases vary with respect to rent over time: Rent Reviews, Break Clauses, Rent Free Periods, Lease Expiries etc. * Developing the concept of a Rent Function in Excel * Logic mathematics and Logic functions * Projecting rent to adapt to different lease contracts and growth patterns * Alternative solutions to Logic functions * Comparative analysis of lease structures in different jurisdictions and adapting financial models Module 4 - Real Estate Data Understanding the different sources of data, constructing basic time series models and recognising basic patterns. * Key Property market indicators * Characteristics and application of key input metrics for Real Estate Appraisals * Understanding the eight components of Real Estate Price Dynamics * Awareness of the different sources of data * Reading and using general property market reports * Constructing basic time series models and recognising basic patterns Module 5 - Development Appraisals Constructing a development appraisal from first principles and understanding development return metrics. * Understanding the key components of a development project * Understanding the difference between development and investment appraisals * Residual Appraisals and Profit Calculations * Cost orientated cash flows and phased sales * Cumulative construction cost patterns: incidental, fixed, loaded and S-curve * Development return metrics and Modified IRRs Module 6 - Multi-let Cash Flows Constructing an advanced multi-let cash flow model and learn different techniques to build flexible rent functions. * Multi-let and portfolio model design principles * Building complex date functions and date series * The three multi-let rent projection techniques * Perpendicular Rent Functions * Incorporate advanced rent adjustments into the Rent Function * Incorporate sector and period varying rental growth rates * Simplifying OPEX and CAPEX projections * Discounting techniques on complex and volatile cash flows Module 7 - Project Finance Constructing a flexible Real Estate Debt Finance model. * Revision of the Mathematics of amortisation and debt finance * Basic senior debt models and geared net cash flow * LTV, IRR and Interest Rate Dynamics * Flexible term, repayment options and deferred interest * Loan covenant tests * Understanding different tranches of debt * Understanding how complex debt structures impact the returns to different parties Module 8 - Model Interpretation and Risk Analysis Learn how to read, analyse and report on real estate financial models. * Understand how to read models and develop an investment narrative * Visualise model outputs using graph functions, conditional formatting, dynamic symbols and dashboards * Learn how to use built-in Sensitivity, Scenario Analysis tools and third-party add-ins * Learn how to construct varied project scenarios in a systematic way * Introduction to Monte Carlo Analysis and VBA * Optimising sale dates and other parameters * Create well written, attractive and persuasive reports Included in the Course * Bayfield Training and University of Cambridge Accredited Certificate & LinkedIn Proficiency Badge * 64 CPD Hours * 1 Month Post-Course Access to the Digital Platform - 12 Months Post-Course Access to the Platform can be purchased for an additional fee * Course Files * Q&A Webinars and Guest Speaker Webinars * Further Learning Resources (Reading, Files and Videos) * Post Course Support - Two Months of Questions & Answers 2024 Cohort Dates Include: * 3rd June to 29th July * 5th August to 25th September 2024 * 30th September to 25th November For more information, please contact Sam on the Bayfield Training Sales team: E - s.musgrave@bayfieldtraining.com T - 01223 517851 W - www.bayfieldtraining.com [https://www.bayfieldtraining.com/]

Duration 3 Days 18 CPD hours This course is intended for The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises. This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Prerequisites Understanding core data concepts. Knowledge of working with relational data in the cloud. Knowledge of working with non-relational data in the cloud. Knowledge of data analysis and visualization concepts. DP-900T00 Microsoft Azure Data Fundamentals is recommended 1 - DISCOVER DATA ANALYSIS * Overview of data analysis * Roles in data * Tasks of a data analyst 2 - GET STARTED BUILDING WITH POWER BI * Use Power BI * Building blocks of Power BI * Tour and use the Power BI service 3 - GET DATA IN POWER BI * Get data from files * Get data from relational data sources * Create dynamic reports with parameters * Get data from a NoSQL database * Get data from online services * Select a storage mode * Get data from Azure Analysis Services * Fix performance issues * Resolve data import errors 4 - CLEAN, TRANSFORM, AND LOAD DATA IN POWER BI * Shape the initial data * Simplify the data structure * Evaluate and change column data types * Combine multiple tables into a single table * Profile data in Power BI * Use Advanced Editor to modify M code 5 - DESIGN A SEMANTIC MODEL IN POWER BI * Work with tables * Create a date table * Work with dimensions * Define data granularity * Work with relationships and cardinality * Resolve modeling challenges 6 - ADD MEASURES TO POWER BI DESKTOP MODELS * Create simple measures * Create compound measures * Create quick measures * Compare calculated columns with measures 7 - ADD CALCULATED TABLES AND COLUMNS TO POWER BI DESKTOP MODELS * Create calculated columns * Learn about row context * Choose a technique to add a column 8 - USE DAX TIME INTELLIGENCE FUNCTIONS IN POWER BI DESKTOP MODELS * Use DAX time intelligence functions * Additional time intelligence calculations 9 - OPTIMIZE A MODEL FOR PERFORMANCE IN POWER BI * Review performance of measures, relationships, and visuals * Use variables to improve performance and troubleshooting * Reduce cardinality * Optimize DirectQuery models with table level storage * Create and manage aggregations 10 - DESIGN POWER BI REPORTS * Design the analytical report layout * Design visually appealing reports * Report objects * Select report visuals * Select report visuals to suit the report layout * Format and configure visualizations * Work with key performance indicators 11 - CONFIGURE POWER BI REPORT FILTERS * Apply filters to the report structure * Apply filters with slicers * Design reports with advanced filtering techniques * Consumption-time filtering * Select report filter techniques * Case study - Configure report filters based on feedback 12 - ENHANCE POWER BI REPORT DESIGNS FOR THE USER EXPERIENCE * Design reports to show details * Design reports to highlight values * Design reports that behave like apps * Work with bookmarks * Design reports for navigation * Work with visual headers * Design reports with built-in assistance * Tune report performance * Optimize reports for mobile use 13 - PERFORM ANALYTICS IN POWER BI * Explore statistical summary * Identify outliers with Power BI visuals * Group and bin data for analysis * Apply clustering techniques * Conduct time series analysis * Use the Analyze feature * Create what-if parameters * Use specialized visuals 14 - CREATE AND MANAGE WORKSPACES IN POWER BI * Distribute a report or dashboard * Monitor usage and performance * Recommend a development life cycle strategy * Troubleshoot data by viewing its lineage * Configure data protection 15 - MANAGE SEMANTIC MODELS IN POWER BI * Use a Power BI gateway to connect to on-premises data sources * Configure a semantic model scheduled refresh * Configure incremental refresh settings * Manage and promote semantic models * Troubleshoot service connectivity * Boost performance with query caching (Premium) 16 - CREATE DASHBOARDS IN POWER BI * Configure data alerts * Explore data by asking questions * Review Quick insights * Add a dashboard theme * Pin a live report page to a dashboard * Configure a real-time dashboard * Set mobile view 17 - IMPLEMENT ROW-LEVEL SECURITY * Configure row-level security with the static method * Configure row-level security with the dynamic method ADDITIONAL COURSE DETAILS: Nexus Humans PL-300T00: Microsoft Power BI Data Analyst training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the PL-300T00: Microsoft Power BI Data Analyst course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

OVERVIEW This official Microsoft Power BI training course will teach you how to connect to data from many sources, clean and transform it using Power Query, create a data model consisting of multiple tables connected with relationships and build visualisations and reports to show the patterns in the data. The course will explore formulas created using the DAX language, including the use of advanced date intelligence calculations. Additional visualisation features including interactivity between the elements of a report page are covered as well as parameters and row-level security, which allows a report to be tailored according to who is viewing it. The course will also show how to publish reports and dashboards to a workspace on the Power BI Service. COURSE BENEFITS: * Learn how to clean, transform, and load data from many sources * Use database queries in Power Query to combine tables using append and merge * Create and manage a data model in Power BI consisting of multiple tables connected with relationships * Build Measures and other calculations in the DAX language to plot in reports * Manage advanced time calculations using date tables * Optimise report calculations using the Performance Analyzer * Manage and share report assets to the Power BI Service * Prepare for the official Microsoft PL-300 exam using Microsoft Official Courseware WHO IS THE COURSE FOR? * Data Analysts with little or no experience of Power BI who wish to upgrade their knowledge to include Business Intelligence * Management Consultants who need to conduct rapid analysis of their clients’ data to answer specific business questions * Analysts who need to upgrade their organisation from a simple Excel or SQL-based management reporting system to a dynamic BI system * Data Analysts who wish to develop organisation-wide reporting in the form of web reports or phone apps * Marketers in data-intensive organisations who wish to build visually appealing, dynamic charts for their stakeholders to use COURSE OUTLINE Module 1 Getting Started With Microsoft Data Analytics * Data analytics and Microsoft * Getting Started with Power BI Module 2 Get Data In Power BI * Get data from various data sources * Optimize performance * Resolve data errors Lab: Prepare Data in Power BI Desktop Module 3 Clean, Transform And Load Data In Power BI * Data shaping * Data profiling * Enhance the data structure Lab: Load Data in Power BI Desktop Module 4 Design A Data Model In Power BI * Introduction to data modelling * Working with Tables * Dimensions and Hierarchies Lab: Model Data in Power BI Desktop Module 5 Create Model Calculations Using DAX In Power BI * Introduction to DAX * Real-time Dashboards * Advanced DAX Lab 1: Create DAX Calculations in Power BI Desktop, Part 1 Lab 2: Create DAX Calculations in Power BI Desktop, Part 2 Module 6 Optimize Model Performance * Optimize the data model for performance * Optimize DirectQuery models Module 7 Create Reports * Design a Report * Enhance the Report Lab 1: Design a Report in Power BI Desktop, Part 1 Lab 2: Design a Report in Power BI Desktop, Part 2 Module 8 Create Dashboards * Create a Dashboard * Real-time Dashboards * Enhance a Dashboard Lab: Create a Power BI Dashboard Module 9 Perform Advanced Analytics * Advanced analytics * Data Insights through AI Visuals Lab: Perform Data Analysis in Power BI Desktop Module 10 Create And Manage Workspaces * Creating Workspaces * Sharing and managing assets Module 11 Manage Datasets In Power BI * Parameters * Datasets Module 12 Row-Level Security * Security in Power BI Lab: Enforce Row-Level Security

Data analysis translates numbers and data into information that can be used to solve problems or track business performance. Data analysis produces graphs, charts, tables and reports. Data analysis is in high demand across all sectors, such as finance, consulting, manufacturing, pharmaceuticals, government and education. The ability to pay attention to detail, communicate well and be highly organised are essential skills for data analysts. They not only need to understand the data but be able to provide insight and analysis through clear visual, written and verbal communication. This course provides the knowledge and skills to help you hone your data analysis skills.

Duration 2 Days 12 CPD hours This course is intended for This course is designed for students who already have foundational knowledge and skills in Excel and who wish to perform robust and advanced data and statistical analysis with Microsoft Excel using PivotTables, use tools such as Power Pivot and the Data Analysis ToolPak to analyze data, and visualize data and insights using advanced visualizations in charts and dashboards in Excel. To ensure success, you should have baseline skill using Microsoft Excel worksheets, particularly in creating workbooks with formulas and function Overview #NAME? Analyzing data to find issues, insights and opportunities, is now a critical part of many job roles. Beyond the analysis, data analysts in all job roles must be able to effectively present and communicate their findings in visually compelling ways. Microsoft© Excel© is designed for this purpose. Excel can connect to a wide range of data sources, perform robust data analysis and create diverse and robust data-backed visualizations to show insights, trends, and create reports. These capabilities enable people who use Excel for data analysis to turn data into thoughtful action. 1 - DATA ANALYSIS FUNDAMENTALS * Introduction to Data Science * Create and Modify Tables * Sort and Filter Data 2 - VISUALIZING DATA WITH EXCEL * Visualize Data with Charts * Modify and Format Charts * Apply Best Practices in Chart Design 3 - ANALYZING DATA WITH FORMULAS AND FUNCTIONS * Analyze Data with Formulas and Named Ranges * Analyze Data with Functions * Implement Data Validation, Forms, and Controls * Create Conditional Visualizations with Lookup Functions 4 - ANALYZING DATA WITH PIVOTTABLES * Create a PivotTable * Analyze PivotTable Data 5 - PRESENTING VISUAL INSIGHTS WITH DASHBOARDS IN EXCEL * Visualize Data with PivotCharts * Filter Data Using Slicers and Timelines * Create a Dashboard in Excel 6 - CREATING GEOSPATIAL VISUALIZATIONS WITH EXCEL * Create Map Charts in Excel * Customize Map Charts in Excel 7 - PERFORMING STATISTICAL ANALYSIS * Visualize Trendlines and Sparklines with Excel * Analyze Data with the Data Analysis ToolPa 8 - GETTING AND TRANSFORMING DATA * Connect to Data with Queries * Clean and Combine Data * Shape and Transform Data 9 - MODELING AND ANALYZING DATA WITH POWER PIVOT * Install Power Pivot in Excel * Create Data Models with Power Pivot * Create Power Pivots * Perform Advanced Data Analysis and Visualization 10 - PRESENTING INSIGHTS WITH REPORTS (OPTIONAL) * Plan a Report * Create a Report

Enrich your data analysis skills with this premium, comprehensive course. Learn about variation, performance data presentation, process management, and more. Start now!

Duration 5 Days 30 CPD hours Overview Mining data Manipulating data Visualizing and reporting data Applying basic statistical methods Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. CompTIA Data+ gives you the confidence to bring data analysis to life. As the importance for data analytics grows, more job roles are required to set context and better communicate vital business intelligence. Collecting, analyzing, and reporting on data can drive priorities and lead business decision-making. 1 - IDENTIFYING BASIC CONCEPTS OF DATA SCHEMAS * Identify Relational and Non-Relational Databases * Understand the Way We Use Tables, Primary Keys, and Normalization 2 - UNDERSTANDING DIFFERENT DATA SYSTEMS * Describe Types of Data Processing and Storage Systems * Explain How Data Changes 3 - UNDERSTANDING TYPES AND CHARACTERISTICS OF DATA * Understand Types of Data * Break Down the Field Data Types 4 - COMPARING AND CONTRASTING DIFFERENT DATA STRUCTURES, FORMATS, AND MARKUP LANGUAGES * Differentiate between Structured Data and Unstructured Data * Recognize Different File Formats * Understand the Different Code Languages Used for Data 5 - EXPLAINING DATA INTEGRATION AND COLLECTION METHODS * Understand the Processes of Extracting, Transforming, and Loading Data * Explain API/Web Scraping and Other Collection Methods * Collect and Use Public and Publicly-Available Data * Use and Collect Survey Data 6 - IDENTIFYING COMMON REASONS FOR CLEANSING AND PROFILING DATA * Learn to Profile Data * Address Redundant, Duplicated, and Unnecessary Data * Work with Missing Value * Address Invalid Data * Convert Data to Meet Specifications 7 - EXECUTING DIFFERENT DATA MANIPULATION TECHNIQUES * Manipulate Field Data and Create Variables * Transpose and Append Data * Query Data 8 - EXPLAINING COMMON TECHNIQUES FOR DATA MANIPULATION AND OPTIMIZATION * Use Functions to Manipulate Data * Use Common Techniques for Query Optimization 9 - APPLYING DESCRIPTIVE STATISTICAL METHODS * Use Measures of Central Tendency * Use Measures of Dispersion * Use Frequency and Percentages 10 - DESCRIBING KEY ANALYSIS TECHNIQUES * Get Started with Analysis * Recognize Types of Analysis 11 - UNDERSTANDING THE USE OF DIFFERENT STATISTICAL METHODS * Understand the Importance of Statistical Tests * Break Down the Hypothesis Test * Understand Tests and Methods to Determine Relationships Between Variables 12 - USING THE APPROPRIATE TYPE OF VISUALIZATION * Use Basic Visuals * Build Advanced Visuals * Build Maps with Geographical Data * Use Visuals to Tell a Story 13 - EXPRESSING BUSINESS REQUIREMENTS IN A REPORT FORMAT * Consider Audience Needs When Developing a Report * Describe Data Source Considerations For Reporting * Describe Considerations for Delivering Reports and Dashboards * Develop Reports or Dashboards * Understand Ways to Sort and Filter Data 14 - DESIGNING COMPONENTS FOR REPORTS AND DASHBOARDS * Design Elements for Reports and Dashboards * Utilize Standard Elements * Creating a Narrative and Other Written Elements * Understand Deployment Considerations 15 - UNDERSTAND DEPLOYMENT CONSIDERATIONS * Understand How Updates and Timing Affect Reporting * Differentiate Between Types of Reports 16 - SUMMARIZING THE IMPORTANCE OF DATA GOVERNANCE * Define Data Governance * Understand Access Requirements and Policies * Understand Security Requirements * Understand Entity Relationship Requirements 17 - APPLYING QUALITY CONTROL TO DATA * Describe Characteristics, Rules, and Metrics of Data Quality * Identify Reasons to Quality Check Data and Methods of Data Validation 18 - EXPLAINING MASTER DATA MANAGEMENT CONCEPTS * Explain the Basics of Master Data Management * Describe Master Data Management Processes ADDITIONAL COURSE DETAILS: Nexus Humans CompTIA Data Plus (DA0-001) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the CompTIA Data Plus (DA0-001) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

The comprehensive Clinical Data Analysis with SAS   has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Clinical Data Analysis with SAS   today, and learn from the very best the industry has to offer! This best selling Clinical Data Analysis with SAS   has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Clinical Data Analysis with SAS   is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Clinical Data Analysis with SAS   is CPD-accredited, so you can be confident you're completing a quality training course  will boost your CV and enhance your career potential. The Clinical Data Analysis with SAS   is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Clinical Data Analysis with SAS  , you will be awarded a certificate of completion  as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Clinical Data Analysis with SAS   will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Clinical Data Analysis with SAS   to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Our data analysis course offers comprehensive training in various data analysis tools like histograms, run charts and many other charts. Under expert guidance, you will be able to extract valuable insights from raw data, make informed decisions and solve complex problems. This Course At A Glance * Accredited by CPD UK * Endorsed by Quality Licence Scheme * Learn about data analysis tools such as Tableau Public, SAS, Excel, RapidMiner and several alike * Understand the meaning of the Pareto Chart, its analysis, and its applications * Learn everything about Histogram, its uses, and applications * Understand the importance of the Control chart, its examples, exceptional cases, and its interpretation *  Get to know about data variation and strategies to deal with variation * Learn how to work in unison and present the quality data to the clients successfully * Learn how to use data at various stages of business and what data tactics to use to drive business performance * Have a thorough understanding of the principles and process of data management DATA ANALYSIS COURSE OVERVIEW This comprehensive online course is apt for those who want to become an expert in data analysis, understand data and data science, and learn analytics tools and techniques. You will learn about process management principles, tools for data analysis, the Pareto Chart, Histogram, and much more. By the end of the course, you will have a solid understanding of data management, data presentation, run chart, variation, control chart, strategies to deal with variation, and interpreting the control chart. WHO SHOULD TAKE THIS COURSE? The data analysis course is designed for those who want to understand nuances of lists, sets, dictionaries, working, loading etc. It is ideal for anyone who wants to pursue their career in data analytics or anyone who wants to understand the principles of process management, tools of data analysis or different types of data charts such as Pareto chart, Histogram, and the Run chart. ENTRY REQUIREMENT   * There are no academic entry requirements for this Data Analysis course, and it is open to students of all academic backgrounds. * However, you are required to have a laptop/desktop/tablet or smartphone and a good internet connection. ASSESSMENT METHOD This Data Analysis 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%. COURSE CURRICULUM Data Analysis 101 Welcome Agenda and Principles of Process Management The Voice of the Process Working as One Team for Improvement Exercise: The Voice of the Customer Tools for Data Analysis The Pareto Chart The Histogram The Run Chart Exercise: Presenting Performance Data Understanding Variation The Control Chart Control Chart Example Control Chart Special Cases Interpreting the Control Chart Control Chart Exercise Strategies to Deal with Variation Using Data to Drive Improvement A Structure for Performance Measurement Data Analysis Exercise Course Project Test your Understanding Assessment Assessment - Data Analysis RECOGNISED ACCREDITATION CPD CERTIFICATION SERVICE 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. CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field. QUALITY LICENCE SCHEME ENDORSED 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. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees.     CERTIFICATE OF ACHIEVEMENT ENDORSED CERTIFICATE FROM QUALITY LICENCE SCHEME After successfully passing the MCQ exam you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. 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. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65. CERTIFICATE OF ACHIEVEMENT FROM LEAD ACADEMY After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35.   FAQS IS CPD A RECOGNISED QUALIFICATION IN THE UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. ARE QLS COURSES RECOGNISED? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. WHEN WILL I RECEIVE MY CERTIFICATE? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. CAN I PAY BY INVOICE? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. CAN I PAY VIA INSTALMENT? Yes, you can pay via instalments at checkout. HOW TO TAKE ONLINE CLASSES FROM HOME? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. DOES AGE MATTER IN ONLINE LEARNING? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. WHEN I WILL GET THE LOGIN DETAILS FOR MY COURSE? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org

This course is designed for students who already have foundational knowledge and skills in Excel and who wish to perform robust and advanced data and statistical analysis with Microsoft Excel using PivotTables, use tools such as Power Pivot and the Data Analysis ToolPak to analyze data and visualize data and insights using advanced visualizations in charts and dashboards in Excel.