Name: Applied Statistics
Price: 10.99 GBP
Availability: InStock

<p><strong>***24 Hour Limited Time Flash Sale***<br /><br /> Master GIS: ArcGIS for Hydrology, Spatial Analysis, Remote Sensing &amp; Cartography Admission Gifts <br /><br /> FREE PDF &amp; Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter</strong></p><p>Have you ever dreamed of turning your love for maps and data into a fulfilling career? The geospatial science field is booming in the UK, but a recent study by the Chartered Institute of Environmental Management revealed a shocking fact: <strong>72%</strong> of environmental consultancies are struggling to find qualified professionals with the right GIS and data analysis skills. That's where our Master GIS program comes in!</p><p>This Master GIS program provides in-depth training on ArcGIS, the industry-standard GIS software. You'll master essential skills like spatial analysis, remote sensing for data collection, and creating professional maps using both ArcGIS and open-source QGIS. Additionally, you'll gain expertise in Python programming, data visualisation, and web mapping, making you a highly sought-after geospatial professional.</p><p><strong>With this Master GIS: ArcGIS for Hydrology, Spatial Analysis, Remote Sensing &amp; Cartography bundle, you will get 20 CPD Accredited PDF Certificates, Hard Copy Certificates, and our exclusive student ID card, all absolutely free.</strong></p><p><strong>Courses Are Included In this Master GIS: ArcGIS for Hydrology, Spatial Analysis, Remote Sensing &amp; Cartography Career Bundle:</strong></p><ul><li><strong> Course 01: </strong>Diploma in ArcGIS for Hydrology at QLS Level 4</li><li><strong> Course 02:</strong> Award in Spatial Analysis in ArcGIS at QLS Level 2</li><li><strong> Course 03:</strong> Remote Sensing in ArcGIS</li><li><strong> Course 04:</strong> QGIS Cartography</li><li><strong> Course 05:</strong> Business Intelligence and Data Mining Diploma</li><li><strong> Course 06:</strong> Python Data Science</li><li><strong> Course 07: </strong>Spatial Data Visualization and Machine Learning in Python Level 4</li><li><strong> Course 08</strong>: Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4</li><li><strong> Course 09: </strong>Maps in R Shiny and Leaflet</li><li><strong> Course 10:</strong> Create Smart Maps in Python and Leaflet Level 3</li><li><strong> Course 11: </strong>Advanced Diploma in Geology</li><li><strong> Course 12: </strong>Structural Geology, Tectonics &amp; Rock Mechanics</li><li><strong> Course 13:</strong> Geospatial Technology, Remote Sensing and Web Mapping</li><li><strong> Course 14:</strong> Environmental Management</li><li><strong> Course 15:</strong> Environmental Law</li><li><strong> Course 16:</strong> Carbon Literacy Project</li><li><strong> Course 17:</strong> Forensic Anthropology</li><li><strong> Course 18:</strong> Autocad Design</li><li><strong> Course 19:</strong> Meteorology</li><li><strong> Course 20: </strong>Architectural Studies</li></ul><p>Invest in Your Future: Whether you're looking to launch a new career in GIS or enhance your existing skillset, this course bundle is your perfect starting point. Take your first step towards a rewarding career - enrol today!</p><p><strong>Learning Outcomes of Master GIS: ArcGIS for Hydrology</strong></p><ul><li>Apply advanced ArcGIS techniques for hydrological analysis.</li><li>Conduct spatial analysis to uncover hidden patterns in geospatial data.</li><li>Utilise remote sensing imagery to extract valuable information.</li><li>Create professional and informative maps using ArcGIS and QGIS.</li><li>Analyse and visualise spatial data using Python libraries.</li><li>Develop interactive web maps using Python and Leaflet.</li></ul><p><strong>Why Choose Us?</strong></p><ul><li>Get a <strong>Free CPD Accredited Certificate</strong> upon completion of Master GIS: ArcGIS for Hydrology</li><li>Get a <strong>free student ID card</strong> with Master GIS: ArcGIS for Hydrology Training program (£10 postal charge will be applicable for international delivery)</li><li>The Master GIS: ArcGIS for Hydrology is <strong>affordable and simple</strong> to understand</li><li>This course is <strong>entirely online, interactive lesson</strong> with voiceover audio</li><li>Get <strong>Lifetime access</strong> to the Master GIS: ArcGIS for Hydrology course materials</li><li>The Master GIS: ArcGIS for Hydrology comes with <strong>24/7 tutor support</strong></li></ul> <p>Take a step toward a brighter future!</p><p><strong>*** Course Curriculum ***</strong></p><p><strong> Course 01: Diploma in ArcGIS for Hydrology at QLS Level 4</strong></p><p>Section 01: Introduction To ArcGIS Software</p><ul><li>Introduction to ArcGIS software</li><li>Selection by Location, attributes, clip features and tables to Excel</li><li>Performing actions on the data: change the projections, dissolve, clip</li><li>From .TXT and .DXF to shapefile</li><li>Calculations with attribute table and KML files in ArcMap</li><li>Export from ArcMap to PDF</li><li>ArcScene 3D</li><li>GIS Example Test</li><li>AutoCAD fixing polygon coordinates</li></ul><p>Section 02: ArcGIS For Hydrology</p><ul><li>Download hydrological data</li><li>Calculate flow direction and flow accumulation</li><li>Watershed delineation</li><li>Clip layers to watershed boundary</li><li>Stream segments and catchments areas</li><li>Stream order convert to vector</li><li>Spatial join to catchments</li><li>Join stream id to stream order</li><li>Map data and initial layout</li><li>Add and format map elements</li></ul><p><strong> Course 02: Award in Spatial Analysis in ArcGIS at QLS Level 2</strong></p><ul><li>Module 01: Point Density Analysis</li><li>Module 02: Raster Calculator and Vector Isolation</li><li>Module 03: Raster to Topography</li><li>Module 04: Raster Reclassification</li><li>Module 05: Raster Overlay</li><li>Module 06: Slope Analysis and Hydrology tools</li><li>Module 07: Introduction to TIFF Files</li><li>Module 08: Introduction to 3D Surfaces</li><li>Module 09: Satellite Images and TIN Surfaces</li><li>Module 10: Exercise</li></ul><p><strong> Course 03: Remote Sensing in ArcGIS</strong></p><ul><li>Module 01: Remote sensing, satellite images, spectral bands introduction</li><li>Module 02: Layers stacking satellite images</li><li>Module 03: Georeferencing satellite images</li><li>Module 04: Introduction to geoprocessing raster tools</li><li>Module 05: Raster Analysis Functions</li><li>Module 06: Georeferencing toposheet</li><li>Module 07: Site suitability using weighted overlay analysis - part 1</li><li>Module 08 Site suitability using weighted overlay analysis - part 2</li><li>Module 09: Watershed Delineation from DEM</li><li>Module 10: Unsupervised classification</li></ul><p><strong>=========&gt;&gt;&gt;&gt;&gt; And 17 More Courses &lt;&lt;&lt;&lt;&lt;=========</strong></p><p><strong>How will I get my Certificate?</strong></p><p>After successfully completing the course, you will be able to order your Certificates as proof of your achievement.</p><ul><li><strong>PDF Certificate: </strong><strong>Free </strong>(Previously it was £12.99*20 = £259)</li><li><strong>CPD Hard Copy Certificate: </strong>Free ( For The First Course: Previously it was £29.99)</li><li><strong>QLS Endorsed Hard Copy Certificate: </strong>£79)</li></ul> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        200 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for:</p><ul><li>GIS enthusiasts</li><li>Environmental scientists</li><li>Urban planners</li><li>Data analysts</li><li>Geographers</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>You will not need any prior background or expertise to enrol in this course.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>After completing this course, you are to start your career or begin the next phase of your career.</p><ul><li>GIS Analyst</li><li>Cartographer</li><li>Environmental Consultant</li><li>Data Scientist</li><li>Web Developer</li><li>Planner</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited Digital Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div><p>Upon passing the Course, you need to order a <strong>Digital Certificate</strong> for each of the courses inside this bundle as proof of your new skills that are accredited by <strong>CPD QS </strong>for Free.</p></div>
        <h4>CPD Accredited Hard Copy Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div><p><em>Please note that International students have to pay an additional £10 as a shipment fee.</em></p></div>
        <h4>Award in Spatial Analysis in ArcGIS at QLS Level 2</h4>
        <p>
            Hard copy certificate -
            £79
        </p>
            <div><p><em>Please note that International students have to pay an additional £10 as a shipment fee.</em></p></div>

                        </div>

Academy for Health and Fitness

Master GIS: ArcGIS for Hydrology, Spatial Analysis, Remote Sensing & Cartography

General Admission

<p><strong>Data analysis</strong> is a crucial skill in today's data-driven world, and the demand for skilled data analysts in the UK is on the rise. According to the Office for National Statistics (ONS), the UK's digital economy grew by <strong>7.9% in this year</strong>, creating numerous job opportunities in fields such as data analysis.</p><p>In Data Analysis in Excel with Analytics for Data Analysts course, you will get to learn the fundamentals of Excel data analysis. The highly informative modules will help you enhance your understanding of charts, pivot tables, pivot charts and more. You will acquire the expertise to work with multiple workbooks and worksheets. In this step-by-step learning process, you will get to grasp a better understanding of lookup functions. In addition, you will know the essentials of data forecasting, mapping data and formula auditing.</p><p>At the end of the data analysis course, you can receive QLS endorsed certificate of achievement. This certificate will allow you to enhance your resume and lift your employability. Enrol now!</p><p><strong>Dis Diploma Included Courses are: </strong></p><ul><li><strong>Course 01: Diploma in Data Analytics with Tableau<br /></strong></li><li><strong>Course 02: Data Analytics<br /></strong></li><li><strong>Course 03: Google Data Studio: Data Analytics</strong><strong><br /></strong></li><li><strong>Course 04: Big Data Analytics with PySpark Tableau Desktop and MongoDB<br /></strong></li><li><strong>Course 05: Learn MySQL from Scratch for Data Science and Analytics</strong><strong><br /></strong></li><li><strong>Course 06: Data Analysis In Excel<br /></strong></li><li><strong>Course 07: Diploma in Data Analysis Fundamentals<br /></strong></li><li><strong>Course 08: Business Data Analysis<br /></strong></li><li><strong>Course 09: Data Science &amp; Machine Learning with Python<br /></strong></li><li><strong>Course 10: R Programming for Data Science<br /></strong></li><li><strong>Course 11: Learn Python, JavaScript, and Microsoft SQL for Data science</strong></li></ul><p><strong>Key Learnings:</strong></p><ul><li>Ability to effectively modify and organize data within a worksheet using various formatting tools.</li><li>Proficiency in working with lists and using data analysis techniques such as sorting, filtering, and subtotalling.</li><li>Competency in analysing data through the use of functions, such as statistical and mathematical functions, to derive meaningful insights.</li><li>Proficiency in creating visually appealing charts and graphs to effectively communicate data insights.</li><li>Competency in using PivotTables and PivotCharts to efficiently summarize and analyse large sets of data.</li><li>Proficiency in automating data analysis tasks and functions through the use of macros and other automated workbook functionalities.</li></ul><p><strong>Course Significant Points:</strong></p><ul><li>Quality Licence Scheme Endorsed</li><li>CPD Accredited Course</li><li>Unlimited Retake Exam &amp; Tutor Support</li><li>Easy Accessibility to the Course Materials</li><li>100% Learning Satisfaction Guarantee</li><li>Lifetime Access &amp; 24/7 Support</li><li>Self-paced online course Modules</li><li>Covers to Explore Multiple Job Positions</li></ul><p><strong>How is the course assessed?</strong></p><p>To assess your learning, you have to complete the assignment questions provided at the end of the course. You have to score at least 60% to pass the exam and to qualify for Quality Licence Scheme endorsed and CPD-accredited certificates. After passing the assignment exam, you will be able to apply for a certificate.</p><p><strong>Meet the Endorsement</strong></p><p>The Quality Licence Scheme has been designed specifically to recognise high-quality courses. This Data Analysis with Excel course materials are recognised by Quality Licence Scheme (QLS). This ensures the deep research and quality resource allocation behind the development phase of the course. In addition, the QLS certificate enriches your CV and recognises your quality study on the relevant subject.</p><p><strong>How will QLS boost your worth?</strong></p><ul><li>Achieving <strong>Quality Licence Scheme</strong> endorsed certificates can provide you with valued and credible evidence of <strong>your skills and knowledge to potential employers. </strong></li><li>Quality Licence Scheme (QLS) endorsements are awarded to training programmes and courses that <strong>meet high quality standards</strong>, ensuring that your certificate represents <strong>a valuable achievement.</strong></li><li>The stringent assessment process involved in achieving Quality Licence Scheme Endorsed Certificates ensures that you have acquired the <strong>necessary skills and knowledge to excel in your chosen field.</strong></li></ul><p><strong>Meet the Accreditation</strong></p><p>CPD Quality Standards (CPD QS) accreditation assures the Data Analysis with Excel course training and learning activities are relevant, reliable, and up to date.</p><p><strong>How Will CPD Accredited Value You?</strong></p><ul><li>CPD accreditation ensures that the training programme or course you have completed has been <strong>independently reviewed</strong> and meets <strong>rigorous quality standards.</strong></li><li>By achieving CPD accredited certificates, you can <strong>enhance your career prospects</strong>, build your <strong>professional reputation</strong>, and stay competitive in <strong>today's job market.</strong></li></ul><p><strong>**Diploma in Data Analytics with Tableau**</strong></p><ul><li>Introduction To The Course</li><li>Project 1: Discount Mart (Sales And Profit Analytics)</li><li>Project 2: Green Destinations (HR Analytics)</li><li>Project 3: Superstore (Sales Agent Tracker)</li><li>Northwind Trade (Shipping Analytics)</li><li>Project 5: Tesla (Stock Price Analytics)</li><li>Bonus: Introduction To Database Concepts</li><li>Tableau Stories</li></ul><p><strong>**Data Analytics**</strong></p><ul><li>Introduction To The World Of Data</li><li>Basics Of Data Analytics</li><li>Statistics For Data Analytics</li><li>Actions Taken In The Data Analysis Process</li><li>Gathering The Right Information</li><li>Storing Data</li><li>Data Mining</li><li>Excel For Data Analytics</li><li>Tools For Data Analytics</li><li>Data-Analytic Thinking</li><li>Data Visualisation That Clearly Describes Insights</li><li>Data Visualisation Tools</li></ul><p><strong>**Google Data Studio: Data Analytics**</strong></p><ul><li>Introduction</li><li>Google Sheets</li><li>Google Data Studio</li></ul><p><strong>**Big Data Analytics with PySpark Tableau Desktop and MongoDB**</strong></p><ul><li>Introduction</li><li>Setup And Installations</li><li>Data Processing With PySpark And MongoDB</li><li>Machine Learning With PySpark And MLlib</li><li>Creating The Data Pipeline Scripts</li><li>Tableau Data Visualization</li><li>Source Code</li></ul><p><strong>**Learn MySQL from Scratch for Data Science and Analytics**</strong></p><ul><li>Getting Started</li><li>SQL Server Setting Up</li><li>SQL Database Basics</li><li>SQL DML (Data Manipulation Language)</li><li>SQL DDL (Data Definition Language)</li><li>SQL DCL (Data Control Language)</li><li>SQL Statement Basic</li><li>Filtering Data Rows</li><li>Aggregate Functions For Data Analysis</li><li>SQL Data Analyticstatements</li><li>SQL Group By Statement</li><li>JOINS</li><li>SQL Constraints</li><li>Views</li><li>Advanced SQL Functions</li><li>SQL Stored Procedures</li><li>Import &amp; Export Data</li><li>Backup And Restore Database</li></ul><p><strong>**Data Analysis In Excel**</strong></p><ul><li>Modifying A Worksheet</li><li>Working With Lists</li><li>Analyzing Data</li><li>Visualizing Data With Charts</li><li>Using PivotTables And PivotCharts</li><li>Working With Multiple Worksheets And Workbooks</li><li>Using Lookup Functions And Formula Auditing</li><li>Automating Workbook Functionality</li><li>Creating Sparklines And Mapping Data</li><li>Forecasting Data</li></ul><p><strong>**Diploma in Data Analysis Fundamentals**</strong></p><ul><li>Introduction</li><li>Agenda And Principles Of Process Management</li><li>The Voice Of The Process</li><li>Working As One Team For Improvement</li><li>Exercise: The Voice Of The Customer</li><li>Tools For Data Analysis</li><li>The Pareto Chart</li><li>The Histogram</li><li>The Run Chart</li><li>Exercise: Presenting Performance Data</li><li>Understanding Variation</li><li>The Control Chart</li><li>Control Chart Example</li><li>Control Chart Special Cases</li><li>Interpreting The Control Chart</li><li>Control Chart Exercise</li><li>Strategies To Deal With Variation</li><li>Using Data To Drive Improvement</li><li>A Structure For Performance Measurement</li><li>Data Analysis Exercise</li><li>Course Project</li><li>Test Your Understanding</li></ul><p><strong>**Business Data Analysis**</strong></p><ul><li>Introduction To Business Analysis</li><li>Business Environment</li><li>Business Processes</li><li>Business Analysis Planning And Monitoring</li><li>Strategic Analysis And Product Scope</li><li>Solution Evaluation</li><li>Investigation Techniques</li><li>Ratio Analysis</li><li>Stakeholder Analysis And Management</li><li>Process Improvement With Gap Analysis</li><li>Documenting And Managing Requirements</li><li>Business Development And Succession Planning</li><li>Planning &amp; Forecasting Operations</li><li>Business Writing Skills</li></ul><p><strong>**Data Science &amp; Machine Learning with Python**</strong></p><ul><li>Course Overview &amp; Table Of Contents</li><li>Introduction To Machine Learning</li><li>System And Environment Preparation</li><li>Learn Basics Of Python - Assignment</li><li>Learn Basics Of Python - Functions</li><li>Learn Basics Of Python - Data Structures</li><li>Learn Basics Of NumPy - NumPy Array</li><li>Learn Basics Of NumPy - NumPy Data</li><li>Learn Basics Of NumPy - NumPy Arithmetic</li><li>Learn Basics Of Matplotlib</li><li>Learn Basics Of Pandas</li><li>Understanding The CSV Data File</li><li>Load And Read CSV Data File Using Python Standard Library</li><li>Load And Read CSV Data File Using NumPy</li><li>Load And Read CSV Data File Using Pandas</li><li>Dataset Summary - Peek, Dimensions And Data Types</li><li>Dataset Summary - Class Distribution And Data Summary</li><li>Dataset Summary - Explaining Correlation</li><li>Dataset Summary - Explaining Skewness - Gaussian And Normal Curve</li><li>Dataset Visualization - Using Histograms</li><li>Dataset Visualization - Using Density Plots</li><li>Dataset Visualization - Box And Whisker Plots</li><li>Multivariate Dataset Visualization - Correlation Plots</li><li>Multivariate Dataset Visualization - Scatter Plots</li><li>Data Preparation (Pre-Processing) - Introduction<br /><ul><li>Re-Scaling Data</li><li>Standardizing Data</li><li>Normalizing Data</li><li>Binarizing Data</li></ul></li><li>Feature Selection - Introduction<br /><ul><li>Uni-Variate Part</li><li>Recursive Feature Elimination</li><li>Principal Component Analysis (PCA)</li><li>Feature Importance</li></ul></li><li>Refresher Session - The Mechanism Of Re-Sampling, Training And Testing</li><li>Algorithm Evaluation Techniques - Introduction<br /><ul><li>Train And Test Set</li><li>K-Fold Cross Validation</li><li>Leave One Out Cross Validation</li><li>Repeated Random Test-Train Splits</li></ul></li><li>Algorithm Evaluation Metrics - Introduction<br /><ul><li>Classification Accuracy</li><li>Log Loss</li><li>Area Under ROC Curve</li><li>Confusion Matrix</li><li>Classification Report</li><li>Mean Absolute Error - Dataset Introduction</li><li>Mean Absolute Error</li><li>Mean Square Error</li><li>R Squared</li></ul></li><li>Classification Algorithm Spot Check - Logistic Regression<br /><ul><li>Linear Discriminant Analysis</li><li>K-Nearest Neighbors</li><li>Naive Bayes</li><li>CART</li><li>Support Vector Machines</li></ul></li><li>Regression Algorithm Spot Check - Linear Regression<br /><ul><li>Ridge Regression</li><li>Lasso Linear Regression</li><li>Elastic Net Regression</li><li>K-Nearest Neighbors</li><li>CART</li><li>Support Vector Machines (SVM)</li></ul></li><li>Compare Algorithms</li><li>Pipelines</li><li>Performance Improvement: Ensembles - Voting<br /><ul><li>Bagging</li><li>Boosting</li></ul></li><li>Performance Improvement: Parameter Tuning Using Grid Search</li><li>Performance Improvement: Parameter Tuning Using Random Search</li><li>Export, Save And Load Machine Learning Models : Pickle</li><li>Export, Save And Load Machine Learning Models : Joblib</li><li>Finalizing A Model - Introduction And Steps</li><li>Finalizing A Classification Model - The Pima Indian Diabetes Dataset</li><li>Quick Session: Imbalanced Data Set - Issue Overview And Steps</li><li>Iris Dataset : Finalizing Multi-Class Dataset</li><li>Finalizing A Regression Model - The Boston Housing Price Dataset</li><li>Real-Time Predictions: Using The Pima Indian Diabetes Classification Model</li><li>Real-Time Predictions: Using Iris Flowers Multi-Class Classification Dataset</li><li>Real-Time Predictions: Using The Boston Housing Regression Model</li></ul><p><strong>**R Programming for Data Science**</strong></p><ul><li>Data Science Overview</li><li>R And RStudio</li><li>Introduction To Basics</li><li>Vectors</li><li>Matrices</li><li>Factors</li><li>Data Frames</li><li>Lists</li><li>Relational Operators</li><li>Logical Operators</li><li>Conditional Statements</li><li>Loops</li><li>Functions</li><li>R Packages</li><li>The Apply Family - Lapply</li><li>The Apply Family - Sapply &amp; Vapply</li><li>Useful Functions</li><li>Regular Expressions</li><li>Dates And Times</li><li>Getting And Cleaning Data</li><li>Plotting Data In R</li><li>Data Manipulation With Dplyr</li></ul><p><strong>**Learn Python, JavaScript, and Microsoft SQL for Data science**</strong></p><ul><li>JavaScript Introduction</li><li>JavaScript Basics</li><li>JavaScript Operators</li><li>JavaScript Conditional Statements</li><li>JavaScript Control Flow Statements</li><li>JavaScript Functions</li><li>JavaScript Error Handling</li><li>JavaScript Client-Side Validations</li><li>Python Introduction</li><li>Python Basic</li><li>Python Strings</li><li>Python Operators</li><li>Python Data Structures</li><li>Python Conditional Statements</li><li>Python Control Flow Statements</li><li>Python Core Games</li><li>Python Functions</li><li>Python Args, KW Args For Data Science</li><li>Python Project</li><li>Python Object Oriented Programming [OOPs]</li><li>Python Methods</li><li>Python Class And Objects</li><li>Python Inheritance And Polymorphism</li><li>Python Encapsulation And Abstraction</li><li>Python OOPs Games</li><li>Python Modules And Packages</li><li>Python Error Handling</li><li>Microsoft SQL[MS] Introduction</li><li>MS SQL Statements</li><li>MS SQL Filtering Data</li><li>MS SQL Functions</li><li>MS SQL Joins</li><li>MS SQL Advanced Commands</li><li>MS SQL Structure And Keys</li><li>MS SQL Queries</li><li>MS SQL Structure Queries</li><li>MS SQL Constraints</li><li>MS SQL Backup And Restore</li></ul><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        570 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p><strong>Data Analysis course is ideal for: </strong></p><ul><li>Professionals working in fields such as finance, business, and healthcare who need to analyse data and make decisions based on their findings.</li><li>Students and researchers who want to develop their skills in data analysis and visualisation using Excel.</li><li>Individuals who are looking to pursue a career in data analysis and want to gain a foundational understanding of Excel and its capabilities.</li><li>Business owners and entrepreneurs who want to learn how to use Excel to analyse and interpret data for their own businesses.</li><li>Anyone who wants to improve their data analysis skills for personal or professional purposes and gain proficiency in Excel as a tool for data analysis.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>There are no specific prerequisites to enrol in Data analysis course. <strong> Anyone and everyone</strong> can take this course.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>The course will assist you in establishing a solid understanding of data analysis. After the course, you will be able to explore career options such as:</p><ul><li><strong>Data Analyst </strong>(Average annual salary £35,000)</li><li><strong>Research Analyst</strong> (Average annual salary £28,552)</li><li><strong>Business Analyst</strong> (Average annual salary £42,618)</li><li><strong>Risk Analyst </strong>(Average annual salary £41,340)</li><li><strong>Financial Analyst</strong> (Average annual salary £50,300)</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion (PDF)</h4>
        <p>
            Digital certificate -
            £9
        </p>
            <div> <p><strong>CPD Accredited PDF Certificate.</strong><br />A PDF Certificate: £9</p> </div>
        <h4>Certificate of completion (Hardcopy)</h4>
        <p>
            Hard copy certificate -
            £15
        </p>
            <div> <p><strong>CPD Accredited Hard Copy Certificate. </strong><br />A Hardcopy Certificate (within the UK): £15<br />A Hardcopy Certificate (international): £15 + £10 (postal charge) = £25</p> </div>
        <h4>Endorsed Certificate of Achievement from the Quality Licence Scheme (Hardcopy)</h4>
        <p>
            Hard copy certificate -
            £109
        </p>
            <div> <p>Data Analysis In Excel (within the UK: £109, International: £119)</p> </div>

                        </div>

One Education

Data Analyst : Data Analyst (Data Analytics) - Level 5 Diploma Course

<p dir="ltr" id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Become an Excel expert with our comprehensive course bundle that covers Beginners, Intermediate, and Advanced levels &ndash; all CPD Accredited. This exclusive package offers you a unique learning experience at an unbeatable price.</span></p><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Microsoft Excel is one of the most widely used programs for data visualisation and analysis in the world. It is essential for many tasks in households, businesses, and various industries. Whether you need to track hours, manage finances, create statements, or perform complex data analysis and visualisation, Excel can help you achieve your goals.</span></p><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Our Microsoft Excel 3 Course Bundle - Beginner, Intermediate &amp; Advanced will help you master Excel from scratch or refresh your existing skills. You will learn how to use Excel efficiently and effectively for various purposes.</span></p><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Our tutorials are designed to make learning easy and enjoyable. You can learn at your own pace, whenever you want. Don&#39;t miss this chance to boost your Excel skills and your career prospects.</span></p><h2 dir="ltr" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Learning Outcome of Microsoft Excel 3 Course Bundle - Beginner, Intermediate &amp; Advanced</span></h2><ul fr-original-style="" style="box-sizing: border-box;"><li dir="ltr" id="isPasted" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Understand spreadsheet concepts and navigate the Excel environment.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Efficiently enter and edit data for accuracy.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Adjust worksheets and workbooks to meet specific needs.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Utilise mathematical, statistical, logical, and text functions for enhanced analysis.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Enhance proficiency for faster and more effective Excel use.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Learn essential functions and formulas for streamlined tasks.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Capture your first job as a Microsoft Excel expert.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Create and edit charts for impactful data visualisation.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Gain tips for a successful career launch leveraging Excel expertise.</li></ul><h2 dir="ltr" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Key Features of the Course</span></h2><ul fr-original-style="" style="box-sizing: border-box;"><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">A CPD certificate that is recognised worldwide.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">A great online learning experience.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Interesting and unique online materials and activities.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Expert guidance and support from the field leaders.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Access to the study resources anytime you want.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Friendly and helpful customer service and admin support by email, phone, and chat from Monday through Friday.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Get a year-long access to the course.</li></ul><h2 dir="ltr" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Who is this course for</span></h2><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">This Microsoft Excel 3 Course Bundle - Beginner, Intermediate &amp; Advanced Course is suitable for -</span></p><ul fr-original-style="" style="box-sizing: border-box;"><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Students</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Recent graduates</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Job seekers</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Administrator</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Accounts Administrator</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">HR Administrator</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Accountant/Bookkeeper</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Office Administrator</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Warehouse Operatives</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Anyone interested in&nbsp;Microsoft Excel&nbsp;</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Individuals seeking Microsoft Office Specialist Excel Certification</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Individuals who are already employed in the relevant sectors and wish to enhance their knowledge and expertise.</li></ul><h2 dir="ltr" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Requirements</span></h2><ul fr-original-style="" style="box-sizing: border-box;"><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Open to all interested in Microsoft Excel.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">No prerequisites; suitable for individuals from any academic background.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Accessible course materials from any internet-enabled device.</li></ul><h2 dir="ltr" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">CPD Certificate from Course Gate</span></h2><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for &pound;9 and the hard copy for &pound;15. Also, you can order both PDF and hardcopy certificates for &pound;22.</span></p><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Career path</span></h2><ul fr-original-style="" style="box-sizing: border-box;"><li dir="ltr" id="isPasted" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Data Analyst</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Financial Analyst</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Business Intelligence Analyst</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Project Manager</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Administrative Assistant</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Accountant</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Entrepreneur/Small Business Owner</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Research Analyst</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Educator/Trainer</li></ul>

Course Gate

Excel Analytics

Microsoft Excel

Microsoft Office

Master Microsoft Excel with our CPD Accredited Complete Course, covering Beginner, Intermediate & Advanced levels. Boost your skills for data analysis, financial management, and more. Ideal for students, recent graduates, job seekers, and professionals. Get recognized with a worldwide CPD certificate. Learn at your own pace with expert guidance and support. Elevate your career with Excel expertise. Enrol now!

Microsoft Excel 3 Course Bundle - Beginner, Intermediate & Advanced

<p>In today's rapidly evolving digital era, the fusion of finance and technology has paved the way for unprecedented opportunities. Enter the world of FinTech, Cryptocurrency, and the power of Data Analysis. With this '<strong>Data Analytics (Data Analysis), FinTech and Cryptocurrency</strong>' bundle, you're taking the first step into a realm where Data Analysis isn't just a tool-it's the core of decision-making. Dive deep into the nuances of modern finance, learn the intricacies of Cryptocurrency, and harness the might of Data Analysis to make informed strategies. </p><p>In the UK, professionals in these fields can enjoy impressive salary ranges, with earnings starting from £35,000 per year and reaching up to £80,000 per year, making it an enticing career choice. This bundle includes<strong> three courses </strong>that will equip you with the essential knowledge and skills to excel in this domain. This comprehensive <strong>Data Analysis </strong>bundle provides a valuable opportunity to explore the world of finance, technology, and data. By enrolling in these <strong>Data Analysis </strong>bundles, you will gain a deep understanding of the innovations shaping the financial industry, such as blockchain and artificial intelligence, and how they intersect with technology.</p><p>Each Data Analytics (Data Analysis) course in FinTech and Cryptocurrency bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This <strong>Data Analysis </strong>bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development.</p><p><strong>Immerse yourself in these diverse, enthralling subjects, each designed to fuel your curiosity and enhance your knowledge. Dive in now!</strong></p><p><strong>The courses in this Data Analysis bundle include:</strong></p><ul><li><strong>Course 1: </strong>FinTech</li><li><strong>Course 2: </strong>Cryptocurrency</li><li><strong>Course 3: </strong>Data Analytics</li></ul><p><strong>Learning Outcomes:</strong></p><p>By completing this <strong>Data Analysis </strong>bundle, you will achieve the following learning outcomes:</p><ul><li>Understand the principles and applications of FinTech in the financial industry.</li><li>Leverage Data Analysis for informed decision-making in finance and digital currencies.</li><li>Use Data Analysis to forecast market trends in FinTech and Cryptocurrency.</li><li>Apply statistical analysis techniques to interpret data effectively.</li><li>Elevate financial proficiency by integrating insights from Data Analysis.</li><li>Develop a strategic mindset for leveraging data analytics in FinTech and Cryptocurrency.</li></ul><p>The first course, <strong>FinTech</strong>, delves into the fascinating intersection of finance and technology. Gain a deep understanding of the technological innovations that are revolutionising the financial industry, including blockchain, artificial intelligence, and mobile banking. Explore the impact of digital currencies, peer-to-peer lending, and robo-advisors on traditional financial systems.</p><p>The second course, <strong>Cryptocurrency</strong>, uncovers the secrets of this decentralised digital currency phenomenon. Discover the fundamentals of cryptocurrencies, such as Bitcoin and Ethereum, and explore the underlying blockchain technology. Dive into topics like mining, digital wallets, smart contracts, and the future of cryptocurrencies. Develop a solid foundation to navigate the complex world of digital assets.</p><p>The third course, <strong>Data Analytics</strong>, equips you with the essential skills to extract insights from vast amounts of data. Learn the techniques and tools used to collect, clean, and analyze data, allowing you to make informed decisions and predictions. Dive into statistical analysis, data visualisation, and machine learning algorithms. Harness the power of data to drive business growth and enhance decision-making processes.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        15 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>This Data Analytics (<strong>Data Analysis)</strong> in FinTech and Cryptocurrency course is suitable for:</p><ul><li>Professionals aspiring to work in the FinTech or Cryptocurrency sectors.</li><li>Financial analysts seeking to enhance their data analytics skills.</li><li>Entrepreneurs who are interested in leveraging technology to innovate in the financial industry.</li><li>Graduates looking to enter the finance or technology sectors with a competitive edge.</li><li>Business professionals aiming to stay ahead of industry trends.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>You can delightfully enrol in this Data Analytics (<strong>Data Analysis)</strong> in FinTech and Cryptocurrency course without any formal requirements.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>You can pursue various exciting career paths in FinTech and Cryptocurrency, including:</p><ul><li>Financial Data Analyst: £35,000 - £50,000 per year.</li><li>Blockchain Developer: £45,000 - £75,000 per year.</li><li>Cryptocurrency Investment Analyst: £50,000 - £80,000 per year.</li><li>FinTech Consultant: £40,000 - £65,000 per year.</li><li>Data Scientist (Financial Sector): £55,000 - £90,000 per year.</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate Of Completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Certificate Of Completion</h4>
        <p>
            Hard copy certificate -
            £9.99
        </p>

                        </div>

NextGen Learning

Finance Cert & Exam Prep

Certified Cryptocurrency Investigator Course (CCI)

Big Data Analytics

Data Science

Cryptocurrency & Blockchain

Digital Skills

Data Analytics (Data Analysis), FinTech and Cryptocurrency

<p>Nowadays, getting a desired Accounting career with a decent salary is unthinkable without understanding Microsoft Excel in Accounting.</p><p>This <strong>Microsoft Excel in Accounting Diploma</strong> course will provide a comprehensive introduction to the use of Microsoft Excel for accounting, data analysis and business management. The Microsoft Excel in Accounting course will cover key areas of Excel, including formulas, functions, charts and graphs, data management, and advanced features. The Microsoft Excel in Accounting course will also provide an overview of best practices and industry-specific applications of Excel. It will provide opportunities for participants to develop their Microsoft Excel in Accounting skills through practical exercises and case studies.</p><p>Enrol now to take your career to the next level.</p><p><strong>Here are a few important skills you will achieve from our Microsoft Excel in Accounting course:</strong></p><ul><li>Gain knowledge of how to use the fundamental and advanced capabilities of Microsoft Excel Formulas, functions, and accounting data management in Excel</li><li>Identify how to produce and format accounting charts and graphs.</li><li>Discover how to utilise more sophisticated features like macros, pivot tables, and data validation</li><li>Acknowledge Excel's best practices for accounting, data analysis and business management</li><li>Realise Excel's applications in several fields, including accounting, finance, marketing, and operations</li><li>Comprehend how to utilise Excel for reporting and data visualisation</li></ul><p><strong>Key Features of Microsoft Excel in Accounting<br /></strong></p><ul><li>CPD Accredited Microsoft Excel in Accounting course</li><li>Instant e-certificate</li><li>Fully online, interactive Microsoft Excel in Accounting course</li><li>Developed by qualified Experts</li><li>Self-paced learning and laptop, tablet, smartphone-friendly</li><li>24/7 Learning Assistance</li></ul><p><strong>Additional Gifts </strong></p><ul><li><strong>Course 01: </strong>Advanced Accounting and Bookkeeping</li><li><strong>Course 02: </strong>Soft Skills</li></ul><p><strong>The Microsoft Excel in Accounting Course Curriculum </strong></p><ul><li><strong>Module 01:</strong> Microsoft Excel in Accounting</li><li><strong>Module 02:</strong> Microsoft Excel 2019 New Features</li><li><strong>Module 03:</strong> Getting Started with Microsoft Office Excel</li><li><strong>Module 04:</strong> Performing Calculations</li><li><strong>Module 05:</strong> Modifying a Worksheet</li><li><strong>Module 06:</strong> Formatting a Worksheet</li><li><strong>Module 07:</strong> Printing Workbooks</li><li><strong>Module 08:</strong> Managing Workbooks</li><li><strong>Module 09:</strong> Working with Functions</li><li><strong>Module 10:</strong> Working with Lists</li><li><strong>Module 11:</strong> Analyzing Data</li><li><strong>Module 12:</strong> Visualizing Data with Charts</li><li><strong>Module 13:</strong> Using PivotTables and PivotCharts</li><li><strong>Module 14:</strong> Working with Multiple Worksheets and Workbooks</li><li><strong>Module 15:</strong> Using Lookup Functions and Formula Auditing</li><li><strong>Module 16:</strong> Sharing and Protecting Workbooks</li><li><strong>Module 17:</strong> Automating Workbook Functionality</li><li><strong>Module 18:</strong> Creating Sparklines and Mapping Data</li><li><strong>Module 19:</strong> Forecasting Data</li><li><strong>Module 20:</strong> Excel Templates</li></ul><p><strong>Certification</strong></p><p>Once you've successfully completed your Microsoft Excel in Accounting course, you will immediately be sent a digital certificate.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        10 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p><strong>This course is suitable for the following:</strong></p><p>Accounting majors, aspiring accountants, and practicing accountants, particularly for AAT, CAT, FIA, ACCA, and university students.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>No formal qualification is required.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Accountant</li><li>ACCA Accountant</li><li>Chartered Accountant</li><li>Accountant Clerks</li><li>Data Entry Clerks</li><li>Data Scientist</li><li>Health Records Clerk</li><li>Data Analyst-Statistician</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Digital certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Hard copy certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div><p>You will get the hard copy certificates for Free! The delivery charge of the hard copy certificate inside the UK is £3.99 each.</p></div>

                        </div>

Training Express

Microsoft Excel in Accounting Course

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			<h2>Overview</h2>		</div>
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							<p><span>Changes in Accounting: Latest Trends Encountered by CFOs in 2022 Course is yet another 'Teacher's Choice' course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this Changes in Accounting: Latest Trends Encountered by CFOs in 2022 Course and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills.</span></p><p><span>Consisting of several modules, the course teaches you everything you need to succeed in this profession.</span></p><p><span>The course can be studied part-time. You can become accredited within 05 Hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website.</span></p>						</div>
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			<h3><b>Why Choose Teachers Training</b></h3>		</div>
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			<p>Some of our website features are:</p>		</div>
				</div>
				<div>
				<div>
					<ul>
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										<span>This is a dedicated website for teaching</span>
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										<span>24/7 tutor support</span>
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										<span>Interactive Content</span>
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										<span>Affordable price</span>
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										<span>Courses accredited by the UK's top awarding bodies</span>
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										<span>100% online </span>
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										<span>Flexible deadline</span>
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		</section>
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				<div>
			<h3><b> Entry Requirements
</b></h3>		</div>
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				<div>
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			<p>No formal entry requirements. You need to have:</p>		</div>
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					<ul>
							<li>
											<span>
													</span>
										<span>Passion for learning</span>
									</li>
								<li>
											<span>
													</span>
										<span>A good understanding of the English language</span>
									</li>
								<li>
											<span>
													</span>
										<span>Be motivated and hard-working</span>
									</li>
								<li>
											<span>
													</span>
										<span>Over the age of 16.</span>
									</li>
						</ul>
				</div>
				</div>
					</div>
		</div>
							</div>
		</section>
				<section>
						<div>
					<div>
			<div>
								<div>
				<div>
			<h3><b>Certification</b></h3>		</div>
				</div>
				<div>
				<div>
							<p><b>CPD Certification from The Teachers Training</b></p><p>Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish.</p><ul><li>You can get your digital certificate (PDF) for £4.99 only</li><li>Hard copy certificates are also available, and you can get one for only £10.99</li><li>You can get both PDF and Hard copy certificates for just £12.99!</li></ul><p>The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs.</p>						</div>
				</div>
					</div>
		</div>
							</div>
		</section>
							</div><table width="100%">				<tbody><tr>
					<td colspan="4">Introduction</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Use Of AI In Accounting</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Cloud-Based Accounting Software</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Digital Transformation</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Workplace Wellness</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Online Collaboration And Remote Workforce</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Evolution Of Accountant Role, Data Visualisation And Data Security</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Outsourcing, Tax Compliances And Other Changes</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4">CFO Trends 2022 And Beyond</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>CFO Trends - Building Cash Resilience</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>CFO Trend - Creating An Effective Budget And Forecast During Uncertainties</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>CFO Trends - Using Automation And Digitalisation</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>CFO Trends - Aligning Business Model With Changing</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>CFO Trends - Hybrid Work Office And Culture</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>CFO Trends - Growth Through Innovation And Non-Finance Roles</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Most Anticipated Changes In Accounting</td>
					<td> </td>
					<td><span><i></i> 00:52:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>The Trend For Focus By CFO 2022</td>
					<td> </td>
					<td><span><i></i> 00:59:00</span></td>
				</tr>
				</tbody></table>

The Teachers Training

Certification in Business Accounting & Taxation (CBAT)

Accounting & Finance

Chief Financial Officer (CFO)

Business Accounting

Practical Accounting

Changes in Accounting: Latest Trends Encountered by CFOs in 2022

<p>Unlock the door to endless possibilities with our comprehensive bundle of courses: "Python for Machine Learning and Data Analytics." In the UK, professionals in these fields can enjoy lucrative career opportunities with average annual salaries ranging from £40,000 to £80,000+. Imagine yourself at the forefront of technological advancements, harnessing the power of Python programming to revolutionise data analysis, develop intelligent systems, and make informed business decisions.</p><p>Introducing our captivating bundle of courses: "Python for Machine Learning and Data Analytics." Whether you're a novice seeking to enter the world of Python programming or an experienced professional looking to enhance your skills, this bundle is tailor-made for you.</p><p>Each course in this bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development.</p><p><strong>Immerse yourself in these diverse, enthralling subjects, each designed to fuel your curiosity and enhance your knowledge. Dive in now!</strong></p><p><strong>The courses in this bundle include:</strong></p><ol><li><strong>Python For Beginners </strong></li><li><strong>Machine Learning Basics</strong></li><li><strong>Data Analytics</strong></li></ol><p><strong>Learning outcomes:</strong></p><ul><li>Gain proficiency in Python programming, from the basics to more advanced concepts, allowing you to develop efficient and robust code for data analysis and machine learning applications.</li><li>Understand the fundamental principles of machine learning, including different algorithms and techniques, enabling you to train models, make predictions, and evaluate their performance.</li><li>Acquire practical knowledge in data preprocessing, exploration, and visualisation techniques, empowering you to extract meaningful insights from complex datasets.</li><li>Develop the skills to implement machine learning algorithms and techniques in Python, creating intelligent systems that can adapt and learn from data.</li><li>Learn to effectively use Python libraries and frameworks such as NumPy, Pandas and Scikit-learn to streamline your data analysis and machine learning workflows.</li><li>Gain hands-on experience by working on real-world projects and exercises, solidifying your understanding of Python programming, machine learning, and data analytics.</li></ul><p>Introducing our captivating bundle of courses: "Python for Machine Learning and Data Analytics." Whether you're a novice seeking to enter the world of Python programming or an experienced professional looking to enhance your skills, this bundle is tailor-made for you.</p><p>The<strong> Python For Beginners </strong>course comprehensively introduces Python programming. You will learn the basics of Python syntax, data structures, control flow, and functions. By the end of this course, you will have a solid understanding of Python fundamentals and be ready to dive deeper into advanced concepts.</p><p>In the <strong>Machine Learning Basics</strong> course, you will explore the fundamentals of machine learning. You will learn different machine learning algorithms, such as regression, classification, and clustering, and understand how to train and evaluate models. Through hands-on projects, you will gain practical experience in developing machine-learning solutions.</p><p>The <strong>Data Analytics</strong> course focuses on the art of extracting insights from data. You will learn data preprocessing techniques, exploratory data analysis, and data visualisation using Python libraries such as NumPy, Pandas, and Matplotlib. This course will equip you with the skills to make data-driven decisions and effectively communicate findings.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        25 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>This course is ideal for the following:</p><ul><li>Aspiring data analysts seeking to enhance their skills in Python and data analytics.</li><li>Professionals are interested in entering the field of machine learning and data science.</li><li>Software developers want to expand their knowledge into machine learning and data analytics.</li><li>Business analysts who want to leverage Python and data analytics to gain valuable insights.</li><li>Students or graduates looking to enhance their employability with in-demand skills.</li></ul>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>People tend to pursue these career paths in this sector:</p><ul><li>Data Analyst: £25,000 - £45,000 per year</li><li>Machine Learning Engineer: £40,000 - £70,000 per year</li><li>Data Scientist: £45,000 - £80,000 per year</li><li>Business Analyst: £30,000 - £55,000 per year</li><li>Python Developer: £35,000 - £60,000 per year</li><li>Data Engineer: £40,000 - £70,000 per year</li><li>Research Scientist: £40,000 - £75,000 per year</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate Of Completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Certificate Of Completion</h4>
        <p>
            Hard copy certificate -
            £9.99
        </p>
            <div><p>Unlock your potential and showcase your accomplishments with our CPD Quality Standards certificates!</p><p>Upon successful completion of the course, learners can obtain a CPD Quality Standards PDF certificate for <strong>Python For Beginners Part 1</strong> absolutely free!</p><p>Upon finishing <strong>Machine Learning Basics</strong> and <strong>Data Analytics</strong>, you'll have the opportunity to obtain valuable proof of your achievement. For just £4.99, we'll send you a CPD Quality Standards PDF Certificate via email, or if you prefer, you can get a beautifully printed hardcopy certificate for £9.99 in the UK. If you're located internationally, don't worry! We offer a printed hardcopy certificate for £14.99, ensuring your success knows no boundaries. Grab your certificate and celebrate your success today!</p></div>

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Learning & Development

Business Analytics & Intelligence

Managed Learning Programme (MLP)

Trainers Course

Python for Machine Learning and Data Analytics

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Advanced Diploma in Microsoft Office Excel at QLS Level 7
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Welcome to the gateway of mastering Microsoft Office Excel, where proficiency transforms into expertise. This comprehensive diploma empowers learners with essential skills in Microsoft Office Excel, equipping them to navigate the digital landscape with confidence. Designed for those eager to enhance their professional toolkit, this Diploma in Microsoft Office Excel course blends theoretical foundations with essential tools, ensuring a robust grasp of every facet of Excel's capabilities.
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Demonstrate proficiency in using Microsoft Office Excel for data entry and formatting.
Utilise advanced formulae and functions to manipulate spreadsheet data effectively.
Create and customise charts and graphs to visualise data trends and patterns.
Develop macros to automate repetitive tasks and increase workflow efficiency.
Analyse data using pivot tables to generate meaningful insights for decision-making.
Construct complex formulas for statistical and financial analysis purposes.
Apply data validation and protection techniques to maintain data integrity.
Collaborate on workbooks by tracking changes and using comments effectively.
Design interactive dashboards to present data summaries in a visually appealing manner.
Prepare and present Excel data professionally for various business contexts.
Certificates
Digital Certificate
This bundle comes with a free CPD Accredited PDF Copy certificate+ Transcript (according to the Learner's Choice). For additional courses, it costs £14.99 per copy.
Level 7 QLS Endorsed Hardcopy Certificate
Hard copy certificate - Included
Certificate delivery is Free for UK residents, whereas it costs £10 for international students as a delivery charge.
Note: Skill-up is a Janets-approved resale partner for Quality Licence Scheme Endorsed courses.
Hard Copy Certificate
Get CPD Accredited Hard Copy certificate for £19.99 per copy. The delivery fee for the Hard Copy certificate, however, is free for UK residents, whereas it costs £10 for international students as delivery charge.
Course Description
Gain comprehensive proficiency in Microsoft Office Excel with our Diploma programme. Covering everything from basic spreadsheet functions to advanced data analysis techniques, this Microsoft Office Excel course provides you with the skills necessary to succeed in any professional workplace. Learn to automate tasks, visualise data trends, and make informed decisions using Microsoft Office Excel's powerful features. Become a proficient Excel user and enhance your career prospects with this essential qualification.
This Advanced Diploma in Microsoft Office Excel at QLS Level 7 online training course has been designed by industry experts and will give you an in-depth understanding of this topic. The Advanced Diploma in Microsoft Office Excel at QLS Level 7 course features easy-to-digest modules that break down each topic and ensure all our students receive an unrivalled and thorough learning experience.
Who is this course for?
This Diploma in Microsoft Office Excel course is open to everyone. Specially designed for the following individuals:
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Requirements
There are no formal entry requirements for the Advanced Diploma in Microsoft Office Excel course, with enrollment open to anyone! Anyone and everyone with a knack for learning can enrol on this course without any hesitation.
Learn online from any internet device, including your computer, tablet or smartphone. Study when it suits you and complete the Advanced Diploma in Microsoft Office Excel course at your own pace.
Career path
Unlock diverse career opportunities with our Diploma in Microsoft Office Excel course. Explore these lucrative paths:
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<section>
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					<div><p>A thorough introduction to Microsoft Power BI course, a top business intelligence tool, is provided in this intense 90-minute lecture. Starting with an overview of the programme, you'll quickly become familiar with the atmosphere and possibilities of Power BI. Through instruction, you will create your first Power BI dashboard as the course progresses. The creation of a basic dashboard and data visualisation techniques-both essential in today's data-driven world-will be taught to you.</p><p>The last section of the Microsoft Power BI course focuses on building advanced dashboards with current information. You will learn how to develop dynamic and responsive dashboards by connecting Microsoft Power BI to various data sources. The data administration and analysis skills necessary to make wise business decisions are the main emphasis of this subject. By the time this course ends, you will understand exactly how to use Power BI to create a compelling narrative out of unstructured data. This is an essential skill in today's data-driven environment.</p></div>
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			<h2><b> Learning outcome</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Understand Microsoft Power BI interface and functionality.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Create basic dashboards using Microsoft Power BI tools.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Employ advanced techniques for dynamic dashboard creation.</span>
									</li>
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													</span>
										<span>Effectively analyse and visualise data using Microsoft Power BI.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Microsoft Power BI allows you to connect to and manage real-time data sources.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Develop your ability to make data-driven decisions by using Microsoft Power BI.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Learn how to use data to tell stories by becoming an expert in Microsoft Power BI.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
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			</div>
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			</div>
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			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Why should I take this course?</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Learn Microsoft Power BI quickly. Power BI is an essential business intelligence tool.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Learn how to use Microsoft Power BI to visualise and analyse data practically.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Add Microsoft Power BI knowledge to your CV.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Discover how to use Microsoft Power BI's data insights to make wise decisions.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Gain an advantage in the quickly changing field of data analytics by possessing Microsoft Power BI expertise.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Career Path</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Business Intelligence Analyst</span>
									</li>
								<li>
											<span>
													</span>
										<span>Data Analyst</span>
									</li>
								<li>
											<span>
													</span>
										<span>Dashboard Designer</span>
									</li>
								<li>
											<span>
													</span>
										<span>Power BI Developer</span>
									</li>
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											<span>
													</span>
										<span>Data Visualization Specialist</span>
									</li>
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													</span>
										<span>Report Developer</span>
									</li>
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										<span>Business Data Manager</span>
									</li>
						</ul>
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				</div>
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			<h2> <b>Requirements</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>No formal qualifications required, anyone from any academic background can take this course.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Access to a computer or digital device with internet connectivity.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section><div>
                            <div>
                                <h2>Course Curriculum</h2>
                            </div>
                            			<div>
				

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4"><strong>Power BI - Introduction</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Overview of Power BI Course</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Power BI Intro</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Power BI High Level Flow</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Install and Sign Up</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Power Query Intro</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Power Pivot Intro</td><td><span>🕐 00:01:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Power View Intro</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Your First Power BI Dashboard</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Big Picture</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Get Data</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>How to Get More Data</td><td><span>🕐 00:01:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Modelling Data</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Adding Relationships Manually</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Visualization</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Visualization Customization</td><td><span>🕐 00:01:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>More Visualizations</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Visualization Format and Analytics</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Ask a Question</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Your Advanced Power BI Dashboard With Real Live Data</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Real World Example</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Get Data</td><td><span>🕐 00:13:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Modelling Data</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Visualization with multiple charts</td><td><span>🕐 00:11:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Publishing</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Power BI Website</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Course Bounses</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>FINAL</td><td><span>🕐 00:01:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Resources</strong></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Resources - Microsoft Power BI - Become a Power BI Pro in 90 Minutes!</td><td><span>🕐 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
		                        </div>

Powerbi

Microsoft Power BI

Microsoft Power Platform

Microsoft BI

Business Intelligence (BI)

Master Microsoft Power BI in 90 minutes! Learn to create dashboards and handle live data, turning information into insight.

Microsoft Power BI - Become a Power BI Pro in 90 Minutes!

<p>Venture into the world of data interpretation with our illuminating '<strong>Applied Statistics</strong>' course. In an era where every decision is data-driven, the art of statistics becomes an indispensable tool. This course masterfully unfolds the complexities of statistical analysis, from the basics to advanced methodologies. Whether it's understanding central tendencies, charting out data, or avoiding common pitfalls, we've got it all covered. Set yourself on a path to make informed decisions and discern patterns like never before.</p>
<p><strong>Learning Outcomes</strong></p>
<ul>
<li>Understand the core concepts and fundamentals of statistics.</li>
<li>Master methods of measuring central tendencies and dispersion in datasets.</li>
<li>Dive deep into correlation, regression, and hypothesis testing techniques.</li>
<li>Attain proficiency in data visualisation using charts and graphs.</li>
<li>Identify and rectify ten prevalent statistical mistakes.</li>
</ul>
<h3><b>Why choose this Applied Statistics<span> course</span>?</b></h3>
<ul>
<li>Unlimited access to the course for a lifetime.</li>
<li>Opportunity to earn a certificate accredited by the <b>CPD Quality Standards</b><b> </b>after completing this course.</li>
<li>Structured lesson planning in line with industry standards.</li>
<li>Immerse yourself in innovative and captivating course materials and activities.</li>
<li>Assessments are designed to evaluate advanced cognitive abilities and skill proficiency.</li>
<li>Flexibility to complete the <b>Applied Statistics</b> Course at your own pace, on your own schedule.</li>
<li>Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience.</li>
</ul>
<h3><b>Who is this Applied Statistics<span> </span></b><b><span>course </span></b><b>for?</b></h3>
<ul>
<li>Students embarking on a journey in data science or related fields.</li>
<li>Business analysts seeking to enhance their data interpretation skills.</li>
<li>Researchers keen to strengthen their statistical analysis techniques.</li>
<li>Professionals in various industries aiming to make data-backed decisions.</li>
<li>Educators looking to teach statistical methods more effectively.</li>
</ul>
<h3><b>Career path</b></h3>
<ul>
<li><strong>Data Analyst</strong> - £25,000 - £40,000</li>
<li><strong>Statistical Consultant</strong> - £30,000 - £50,000</li>
<li><strong>Research Scientist (Statistics)</strong> - £35,000 - £55,000</li>
<li><strong>Econometrician</strong> - £40,000 - £60,000</li>
<li><strong>Quantitative Analyst</strong> - £45,000 - £70,000</li>
<li><strong>Biostatistician</strong> - £30,000 - £50,000</li>
</ul>
<h3><b>Prerequisites</b></h3>
<p><span>This </span><b>Applied Statistics</b><span> does not require you to have any prior qualifications or experience. You can just enrol and start learning.This </span><b>Applied Statistics</b><span> 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.</span></p>
<h3><b>Certification</b></h3>
<p><span>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.</span></p><div>
				<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4">Module 01: Introduction to Statistics </td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to Statistics</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 02: Measuring Central Tendency</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Measuring Central Tendency</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 03: Measures of Dispersion</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Measures of Dispersion</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 04: Correlation and Regression Analysis</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Correlation and Regression Analysis</td>
					<td> </td>
					<td><span><i></i> 00:35:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 05: Probability </td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Probability</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 06: Sampling </td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Sampling</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 07: Charts and Graphs</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Charts and Graphs</td>
					<td> </td>
					<td><span><i></i> 00:21:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 08: Hypothesis Testing </td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Hypothesis Testing</td>
					<td> </td>
					<td><span><i></i> 00:25:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 09: Ten Common Statistical Mistakes </td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Ten Common Statistical Mistakes</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Assignment</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Assignment - Applied Statistics</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>

Studyhub UK

Online Course Marketing

Business Studies

Statistical Computing

Biostatistics

Applied Statistics

<p><strong>***24 Hour Limited Time Flash Sale***</strong></p><p><strong> </strong><strong>Data Visualisation Professional - CPD Certified </strong><strong>Admission Gifts </strong></p><p><strong> FREE PDF &amp; Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter</strong></p><p>Are you a professional feeling stuck in your career, struggling to keep up with the ever-changing demands of the industry? Or perhaps you're a beginner, unsure of where to start or how to break into your desired field. Whichever stage you're in, our exclusive Data Visualisation Professional - CPD Certified Bundle provides unique insights and tools that can help you achieve your goals.</p><p>Designed to cater to the needs of both seasoned professionals and aspiring newcomers, our Data Visualisation Professional - CPD Certified bundle is a comprehensive program that will equip you with the essential skills and knowledge you need to succeed. Whether you're looking to advance in your current role or embark on a new career journey, this bundle has everything you need to take your professional life to the next level.</p><p><strong>But that's not all. When you enrol in Data Visualisation Professional - CPD Certified Online Training, you'll receive 30 CPD-Accredited PDF Certificates, Hard Copy Certificates, and our exclusive student ID card, all absolutely free.</strong></p><p><strong>Courses Are Included In this Data Visualisation Professional - CPD Certified Career Bundle:</strong></p><ul><li> Course 01: Master JavaScript with Data Visualization</li><li> Course 02: SQL for Data Science, Data Analytics and Data Visualization</li><li> Course 03: Spatial Data Visualization and Machine Learning in Python</li><li> Course 04: Data Analysis</li><li> Course 05: Excel Data Analysis</li><li> Course 06: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines</li><li> Course 07: Python Programming Bible</li><li> Course 08: Python Data Science with Numpy, Pandas and Matplotlib</li><li> Course 09: Data Science &amp; Machine Learning with Python</li><li> Course 10: Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li> Course 11: R Programming for Data Science</li><li> Course 12: Quick Data Science Approach from Scratch</li><li> Course 13: Mastering SQL Programming</li><li> Course 14: Learn Python, JavaScript, and Microsoft SQL for Data science</li><li> Course 15: Web Scraping and Mapping Dam Levels in Python and Leaflet</li><li> Course 16: Business Data Analysis</li><li> Course 17: Business Intelligence and Data Mining Diploma</li><li> Course 18: Google Data Studio: Data Analytics</li><li> Course 19: Google Analytics for Everyone</li><li> Course 20: Big Data Analytics with PySpark Tableau Desktop and MongoDB</li><li> Course 21: Big Data Analytics with PySpark Power BI and MongoDB</li><li> Course 22: Introduction to Data Analytics with Tableau</li><li> Course 23: Microsoft Power BI - Master Power BI in 90 Minutes!</li><li> Course 24: PowerBI Formulas</li><li> Course 25: Develop Big Data Pipelines with R &amp; Sparklyr &amp; Tableau</li><li> Course 26: Develop Big Data Pipelines with R, Sparklyr &amp; Power BI</li><li> Course 27: Microsoft Access Tables and Queries</li><li> Course 28: Statistical Analysis</li><li> Course 29: Research Methods in Business</li><li> Course 30: Customer Analytics Training</li></ul><p>With Data Visualisation Professional - CPD Certified, you'll embark on an immersive learning experience that combines interactive lessons with voice-over audio, ensuring that you can learn from anywhere in the world, at your own pace. And with 24/7 tutor support, you'll never feel alone in your journey, whether you're a seasoned professional or a beginner.</p><p>Don't let this opportunity pass you by. Enrol in Data Visualisation Professional - CPD Certified today and take the first step towards achieving your goals and dreams.</p><p><strong>Why buy this Data Visualisation Professional - CPD Certified?</strong></p><ul><li><strong>Free CPD Accredited Certificate</strong> upon completion of Data Visualisation Professional - CPD Certified</li><li>Get <strong>a free student ID card</strong> with Data Visualisation Professional - CPD Certified</li><li><strong>Lifetime access</strong> to the Data Visualisation Professional - CPD Certified course materials</li><li>Get instant access to this Data Visualisation Professional - CPD Certified course</li><li>Learn Data Visualisation Professional - CPD Certified from anywhere in the world</li><li>24/7 tutor support with the Data Visualisation Professional - CPD Certified course.</li></ul> <p><strong>Start your learning journey straightaway with our Data Visualisation Professional - CPD Certified Training!</strong></p><p>Data Visualisation Professional - CPD Certified premium bundle consists of 30 precisely chosen courses on a wide range of topics essential for anyone looking to excel in this field. Each segment of the Data Visualisation Professional - CPD Certified is meticulously designed to maximise learning and engagement, blending interactive content and audio-visual modules for a truly immersive experience.</p><p><strong>Certification</strong></p><p>You have to complete the assignment given at the end of the Data Visualisation Professional - CPD Certified course. After passing the Data Visualisation Professional - CPD Certified exam You will be entitled to claim a PDF &amp; Hardcopy certificate accredited by CPD Quality standards completely free.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        300 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p><strong>This Data Visualisation Professional - CPD Certified course is ideal for:</strong></p><ul><li>Students seeking mastery in Data Visualisation Professional - CPD Certified</li><li>Professionals seeking to enhance Data Visualisation Professional - CPD Certified skills</li><li>Individuals looking for a Data Visualisation Professional - CPD Certified-related career.</li><li>Anyone passionate about Data Visualisation Professional - CPD Certified</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This <strong>Data Visualisation Professional - CPD Certified </strong>doesn't require prior experience and is suitable for diverse learners.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>After the assessment, you will be ready for countless job opportunities. Some of them are-</p><ul><li>Business Analyst</li><li>Business Intelligence Analyst</li><li>Analytics Manager</li><li>Data Analyst</li><li>Data Scientist</li></ul><p>However, in the growing market of the UK, these professionals are expected to earn between <strong>£25k to £80k</strong> yearly on average.</p>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited Digital Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>CPD Accredited Hard Copy Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div><p>If you are an <strong>international student</strong>, then you have to pay an additional <strong>10 GBP</strong> for each certificate as an international delivery charge.</p></div>

                        </div>

Data Visualisation Professional - CPD Certified

Duco Digital Training

Machine Learning (ML)

IT Certifications

IT Skills

Data Visualization

Computing & IT

Data Analysis

Data Analyst

IT Literacy

Business Data Analysis

Thinking about learning more about the data you are using in your job and how to present this?
The BCS Foundation Award in Data Visualisation teaches how data is used to make decisions in an organisation and the importance of presenting accurate data in a way that enables decision making to happen.

Data Visualisation - BCS Foundation Award

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>This course is aimed at anyone currently working with data who is interested in using data visualisation to more effectively communicate their results.</p>Overview<p>At completion, delegates will understand how data visualisations can be best used to communicate actionable insights from data and be competent with the tools required to do it.</p><p>Visualising data, and analytics results, is one of the most effective ways to achieve this. This course will cover the theory of data visualisation along with practical skills for creating compelling visualisations from data.</p></div><div id="course-pills-2"><h4>Course Outline</h4><ul><li>The use of analytics, statistics and data science in business has grown massively in recent years. Harnessing the power of data is opening actionable insights in diverse industries from banking to horse breeding. The companies doing this most successfully understand that using sophisticated analytics approaches to unlock insights from data is only half the job. Communicating these insights to all of the different parts of an organisation is just as important as doing the actual analysis. Visualising data, and analytics results, is one of the most effective ways to achieve this. This course will cover the theory of data visualisation along with practical skills for creating compelling visualisations from data. To attend this course delegates should be competent in the use of data analysis tools such as reporting tools, spreadsheet software or business intelligence tools. The course will explore the following topics through a series of interactive workshop sessions:</li><li>Fundamentals of data visualisation</li><li>Data characteristics &amp; dimensions</li><li>Mapping visual encodings to data dimensions</li><li>Colour theory</li><li>Graphical perception &amp; communication</li><li>Interaction design</li><li>Visualisation different characteristics of data: trends, comparisons, correlations, maps, networks, hierarchies, text</li><li>Designing effective dashboards</li></ul></div>

Nexus Human

Data Skills

Effective Data Visualisation

<h2>Professional Arduino Data Visualisation using Python Course Overview</h2> <p>Are you looking to begin your Arduino data visualisation career or want to develop more advanced skills in Arduino data visualisation? Then this professional Arduino data visualisation using Python course will set you up with a solid foundation to become a confident Python progammer or electronic and electrical engineer and help you to develop your expertise in Arduino data visualisation.</p> <p>This professional Arduino data visualisation using Python course is <strong>accredited</strong> by the <strong>CPD UK </strong>&amp;<strong> IPHM</strong>. CPD is <strong>globally recognised</strong> by <strong>employers</strong>, <strong>professional organisations</strong> and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. <strong>CPD certified certificates</strong> are <strong>accepted</strong> by thousands of <strong>professional bodies</strong> and <strong>government regulators</strong> here in the <strong>UK</strong> and <strong>around the world</strong>.</p> <p>Whether you are self-taught and you want to fill in the gaps for better efficiency and productivity, this professional Arduino data visualisation using Python course will set you up with a solid foundation to become a confident Python progammer or electronic and electrical engineer and develop more advanced skills. Gain the essential skills and knowledge you need to propel your career forward as a Python progammer or electronic and electrical engineer.</p> <p>The professional Arduino data visualisation using Python course will set you up with the appropriate skills and experience needed for the job and is ideal for both beginners and those currently working as a Python progammer or electronic and electrical engineer.</p> <p>This comprehensive professional Arduino data visualisation using Python course is the perfect way to kickstart your career in the field of Arduino data visualisation. This professional Arduino data visualisation using Python course will give you a competitive advantage in your career, making you stand out from all other applicants and employees.</p> <p>If you're interested in working as a Python progammer or electronic and electrical engineer or want to learn more skills on Arduino data visualisation but unsure of where to start, then this professional Arduino data visualisation using Python course will set you up with a solid foundation to become a confident Python progammer or electronic and electrical engineer and develop more advanced skills.</p> <p>As one of the leading course providers and most renowned e-learning specialists online, we're dedicated to giving you the best educational experience possible. This professional Arduino data visualisation using Python course is crafted by industry experts, to enable you to learn quickly and efficiently, and at your own pace and convenience.</p> <h3>Who should take this course?</h3> <p>This comprehensive professional Arduino data visualisation using Python<strong> </strong>course is suitable for anyone looking to improve their job prospects or aspiring to accelerate their career in this sector and want to gain in-depth knowledge of Arduino data visualisation.</p> <h3>Entry Requirements</h3> <ul> <li>There are no academic entry requirements for this professional Arduino data visualisation using Python<strong> </strong>course, and it is open to students of all academic backgrounds.</li> <li>As long as you are aged seventeen or over and have a basic grasp of English, numeracy and ICT, you will be eligible to enrol.</li> </ul> <h3>Career path</h3> <p>This professional Arduino data visualisation using Python<strong> </strong>course opens a brand new door for you to enter the relevant job market and also provides you with the chance to accumulate in-depth knowledge at the side of needed skills to become flourishing in no time. You will also be able to add your new skills to your CV, enhance your career and become more competitive in your chosen industry.</p><h2><b>Course Curriculum</b></h2> <div id="la-course-curriculum"> <div> <div>  Introduction <span></span>  <div> <div> <p>Introduction</p> <span></span> </div> <div> <p>Who We Are</p> <span></span> </div> <div> <p>Hardware and Software Requirements</p> <span></span> </div> </div> </div> <div>  Download and Install Software Section <span></span>  <div> <div> <p>Download and Install Arduino Pro IDE</p> <span></span> </div> <div> <p>Download and Install Python Editor</p> <span></span> </div> <div> <p>Download and Install Required Libraries</p> <span></span> </div> </div> </div> <div>  Python Coding to Control Arduino Pins <span></span>  <div> <div> <p>Python Coding to Control Pin Via Serial</p> <span></span> </div> <div> <p>Arduino Coding to Control Pin Via Serial</p> <span></span> </div> <div> <p>Running Python Script to Control the Pin</p> <span></span> </div> </div> </div> <div>  Python Coding to Control Arduino Pins <span></span>  <div> <div> <p>Python GUI with Button to Control Arduino Pins</p> <span></span> </div> </div> </div> <div>  Arduino Real-Time Plotting with Python <span></span>  <div> <div> <p>Arduino Real-Time Plotting with Python</p> <span></span> </div> </div> </div> <div>  Arduino Input/Output Control Via Python <span></span>  <div> <div> <p>Blink Simple Led Example with Python</p> <span></span> </div> <div> <p>Reading Digital Input and Sending Digital Output with Python</p> <span></span> </div> </div> </div> <div>  Extra <span></span>  <div> <div> <p>Installing Python and PIP</p> <span></span> </div> </div> </div> </div> </div><h2><b>Recognised Accreditation</b></h2> <div> <h3>CPD Certification Service</h3> <p>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.</p> </div><h2><b>Certificate of Achievement</b></h2> <h3>Certificate of Achievement from Lead Academy</h3> <p>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 Â£12, and there is an additional fee to obtain a printed copy certificate which is Â£35.</p> <p> </p><h2><b>FAQs</b></h2> <div id="accordionPanelsStayOpenExample"> <div> <h3 id="panelsStayOpen-heading21">  Is CPD a recognised qualification in the UK?  </h3> <div id="panelsStayOpen-collapse21"> <div> <p>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. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading23">  Are QLS courses recognised?  </h3> <div id="panelsStayOpen-collapse23"> <div> <p>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. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading25">  When will I receive my certificate?  </h3> <div id="panelsStayOpen-collapse25"> <div> <p>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. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading27">  Can I pay by invoice?  </h3> <div id="panelsStayOpen-collapse27"> <div> <p>Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading29">  Can I pay via instalment?  </h3> <div id="panelsStayOpen-collapse29"> <div> <p>Yes, you can pay via instalments at checkout. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading31">  How to take online classes from home?  </h3> <div id="panelsStayOpen-collapse31"> <div> <p>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. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading33">  Does age matter in online learning?  </h3> <div id="panelsStayOpen-collapse33"> <div> <p>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.</p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading35">  When I will get the login details for my course?  </h3> <div id="panelsStayOpen-collapse35"> <div> <p>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</p> </div> </div> </div> </div>

Lead Academy

Professional Arduino Data Visualisation using Python

<p>Are your reports and presentations <strong>boring</strong>? Do you wish to <strong> "animate"</strong> your data?</p><p>Tableau, a prominent <strong>visualisation program,</strong> will help your data problems to have an answer. You will acquire the knowledge necessary to master <strong>data visualisation</strong> in this Tableau introduction course.</p><p>This Tableau course gives you the <strong>confidence</strong> to discover the true value of your data by laying a foundation in data visualisation through a series of practical exercises. This Tableau course is designed for people who have never used Tableau before and are new to data visualisation. It makes use of Tableau's assortment of features to show best practices for <strong>data narrative and visualisation</strong>. You will learn how to connect datasets to Tableau, navigate the user interface, build interactive visualisations, and save and share your work in this course. You will learn how to employ each sort of visualisation in this course by going step by step through each one. By incorporating practical built-in functions, you will also learn how to create some fundamental formulas in the Tableau Calculation Language.</p><p><strong>Enrol real quickly</strong> to learn all there is to know about the Tableau - Crash Course, develop your talents in this area and feel secure in your knowledge base.</p><p><strong>Learning Outcome</strong></p><p>After completing this course successfully, you will be able to</p><ul><li>Learn how to create powerful dashboards and visualisations.</li><li>Ensure that Tableau is discovering the answers to your queries rather than creating new issues, prepare and clean your data</li><li>Understand how to create sophisticated visuals that convey complexity in a clear, appealing manner</li><li>Explore your data more thoroughly with clustering and distribution models that let you identify trends and make predictions</li><li>Discover how to utilise data storytelling to inform strategy and decision-making</li><li>Share dashboards and visualisations to foster an environment where data is accessible and appreciated</li></ul><p><strong>Key Benefits</strong></p><ul><li>Learning materials of the Design course contain engaging voiceover and visual elements for your comfort.</li><li>Get 24/7 access to all content for a full year.</li><li>Each of our students gets full tutor support on weekdays (Monday to Friday)</li></ul><p><strong>Course Curriculum:</strong></p><ul><li>Section 1: Introduction to Tableau</li><li>Section 2: Connecting and Preparing Data</li><li>Section 3: Creating Charts and Calculations</li><li>Section 4: Building and Publishing Dashboards</li><li>Section 5: Build a Dashboard Analyzing Trumps Tweets about COVID-19</li></ul><p><strong>Course Assessment</strong></p><p>To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. Upon completion of an online module, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score will be displayed for your perusal. For each test, the pass mark will be set to 60%.</p><p>When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme.</p><p><strong>Exam &amp; Retakes:</strong></p><p>It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable.</p><p><strong>Certification</strong></p><p>Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery).</p><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>Anyone interested in starting a career in data science or a database is encouraged to apply. This course is really easy to understand, even if you are a total newbie with no prior knowledge. Additionally, if you already work in a related field, this course will be an excellent source of knowledge for you to develop your current skills.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This Tableau - Crash course is open to all, with no formal entry requirements.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Learners will be able to attain numerous valuable skills and the chance to gain after completing the Tableau - Crash course. With more help, you could advance in the following career:</p><ul><li>Tableau Developer</li><li>Data Analyst</li><li>Data Visualisation Developer</li><li>Tableau Developer - Data Analytics</li><li>Business Intelligence/Data Validation Analyst</li></ul>
                        </div>

Data Visualisation with Tableau Course

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Are you ready to embark on an enlightening journey of wisdom with the Big Data bundle, and pave your way to an enriched personal and professional future? If so, then Step into a world of knowledge with our course bundle - Big Data : Data Science, Data Analytics &amp; Data Visualisation.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Delve into eight immersive CPD Accredited courses, each a standalone course:</p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Big Data Analytics with PySpark Power BI and MongoDB</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Big Data Analytics with PySpark Tableau Desktop and MongoDB</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Building Big Data Pipelines with PySpark MongoDB and Bokeh</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Develop Big Data Pipelines with R &amp; Sparklyr &amp; Tableau</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Develop Big Data Pipelines with R, Sparklyr &amp; Power BI</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Basic Data Analysis</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">SQL for Data Science, Data Analytics and Data Visualization</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Complete Python Machine Learning &amp; Data Science Fundamentals</strong></li></ol><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Traverse the vast landscapes of theory, unlocking new dimensions of understanding at every turn. Let the Big Data : Data Science, Data Analytics &amp; Data Visualisation bundle illuminate your path to wisdom.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The Big Data : Data Science, Data Analytics &amp; Data Visualisation bundle offers a comprehensive exploration into a rich tapestry of vast knowledge across eight carefully curated courses. The journey is designed to enhance your understanding and critical thinking skills. Each course within the bundle provides a deep-dive into complex theories, principles, and frameworks, allowing you to delve into the nuances of the subject matter at your own pace.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">In the framework of the Big Data : Data Science, Data Analytics &amp; Data Visualisation package, you are bestowed with complimentary PDF certificates for all the courses included in this bundle, all without any additional charge. Adorn yourself with the Big Data bundle, empowering you to traverse your career trajectory or personal growth journey with self-assurance. Register today and ignite the spark of your professional advancement!</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">So, don&#39;t wait further and join the Big Data : Data Science, Data Analytics &amp; Data Visualisation community today and let your voyage of discovery begin!</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learning Outcomes:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Attain a holistic understanding in the designated areas of study with the Big Data bundle.</li><li fr-original-style="" style="box-sizing: border-box;">Establish robust bases across each course nestled within the Big Data bundle.</li><li fr-original-style="" style="box-sizing: border-box;">Decipher intricate concepts through the articulate content of the Big Data bundle.</li><li fr-original-style="" style="box-sizing: border-box;">Amplify your prowess in interpreting, scrutinising, and implementing theories.</li><li fr-original-style="" style="box-sizing: border-box;">Procure the capacity to engage with the course material on an intellectual and profound level.</li><li fr-original-style="" style="box-sizing: border-box;">Become proficient in the art of problem-solving across various disciplines.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Stepping into the Big Data bundle is akin to entering a world overflowing with deep theoretical wisdom. Each course within this distinctive bundle is an individual journey, meticulously crafted to untangle the complex web of theories, principles, and frameworks. Learners are inspired to explore, question, and absorb, thus enhancing their understanding and honing their critical thinking skills. Each course invites a personal and profoundly enlightening interaction with knowledge.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The Big Data bundle shines in its capacity to cater to a wide range of learning needs and lifestyles. It gives learners the freedom to learn at their own pace, forging a unique path of discovery. More than just an educational journey, the Big Data bundle fosters personal growth, enabling learners to skillfully navigate the complexities of the world.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The Big Data bundle also illuminates the route to a rewarding career. The theoretical insight acquired through this bundle forms a strong foundation for various career opportunities, from academia and research to consultancy and programme management. The profound understanding fostered by the Big Data bundle allows learners to make meaningful contributions to their chosen fields. Embark on the Big Data journey and let knowledge guide you towards a brighter future.</p><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">CPD</div>
    </h2>

                        <div id="cpd" fr-original-style="" style="box-sizing: border-box;">
                            <div fr-original-style="" style="box-sizing: border-box;">
                                <div fr-original-style="" style="box-sizing: border-box;">
                                    <div fr-original-style="" style="box-sizing: border-box;">
                                        85 CPD hours / points
                                    </div>
                                        <div fr-original-style="" style="box-sizing: border-box;">
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for" fr-original-style="" style="box-sizing: border-box;">
                            <ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Individuals keen on deepening their firm understanding in the respective fields.</li><li fr-original-style="" style="box-sizing: border-box;">Students pursuing higher education looking for comprehensive theory modules.</li><li fr-original-style="" style="box-sizing: border-box;">Professionals seeking to refresh or enhance their knowledge.</li><li fr-original-style="" style="box-sizing: border-box;">Anyone with a thirst for knowledge and a passion for continuous learning.</li></ul>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Career path</div>
    </h2>

                        <div id="career_path" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Armed with the Big Data bundle, your professional journey can reach new heights. The comprehensive theoretical knowledge from this bundle can unlock diverse career opportunities across several fields. Whether it&#39;s academic research, consultancy, or programme management, the Big Data bundle lays a solid groundwork.</p>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Certificates</div>
    </h2>

                        <div id="optional_extras" fr-original-style="" style="box-sizing: border-box;">
                                    <h4 fr-original-style="" style="box-sizing: border-box;">CPD Certificate Of Completion</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Digital certificate -
            Included
        </p>
            <div fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">8 Digital Certificates Are Included With This Bundle</p></div>
        <h4 fr-original-style="" style="box-sizing: border-box;">CPD Quality Standard Hardcopy Certificate (FREE UK Delivery)</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Hard copy certificate -
            &pound;9.99
        </p>
            <div fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Hardcopy Transcript - &pound;9.99</p></div>

                        </div>

Big Data

Continuous Professional Development (CPD)

Big Data : Data Science, Data Analytics & Data Visualisation - 8 Courses Bundle

Build your accounting and financial skills to expertly handle everyday business operations and crucial calculations with the Accounting and Finance Diploma. Begin by mastering the fundamental principles of accounting, and then advance your knowledge to cover all aspects of accounting and finance. This comprehensive course is designed to support both those aspiring to launch a career in accounting and finance and individuals seeking to develop their skills for career advancement and promotions.
The Accounting and Finance Diploma course provides an in-depth exploration of key accounting methods, including cash flow control, investment appraisals, and budget deliberation. You’ll learn essential techniques for effective decision-making in monetary matters, ensuring you can confidently handle financial responsibilities and contribute to business success.
With this course, you'll gain valuable insights into every aspect of accounting and finance, equipping you with the expertise needed for informed business decisions. Whether you’re looking to excel in a new role or enhance your current position, the knowledge gained from this diploma will be instrumental in driving your career forward in the field of accounting and finance.
Courses are included in this Accounting and Finance Complete Bundle:
Course 01: Introduction to Accounting
Course 02: Level 3 Tax Accounting
Course 03: Introduction to VAT
Course 04: Level 3 Xero Training
Course 05: Professional Bookkeeping Course
Course 06: Microsoft Excel Level 3
Course 07:Team Management
Course 08: GDPR Data Protection Level 5
Course 09: Fraud Management & Anti Money Laundering Awareness Complete Diploma
Course 10: Business Analysis Level 3
Course 11: Time Management
So, enrol on Accounting and Finance now in this Accounting and Finance Bundle!



Key Features of the Course
FREE Accounting and Finance Diploma CPD-accredited certificate
Get a free student ID card with Accounting and Finance Diploma training (£10 applicable for international delivery)
Lifetime access to the Accounting and Finance Diploma course materials
The Accounting and Finance Diploma program comes with 24/7 tutor support
Get instant access to this Accounting and Finance Diploma course
Learn Accounting and Finance Diploma training from anywhere in the world
The Accounting and Finance Diploma training is affordable and simple to understand
The Accounting and Finance Diploma training is entirely online



Curriculum:
Course 01: Introduction to Accounting
What is Financial Accounting
Double Entry System and Fundamental Rules
Financial Process and Financial Statements Generate
Basic Equations and Four Financial Statements
Define a Chart of Accounts and Classify the accounts
External and Internal Transactions with companies
Short Exercise to Confirm what we learned in this section
What Major Policies need to be decided by companies
Depreciation Policies
Operational Fixed Asset Controls
Inventory and Controls
Revenue and Controls
Course 02: Level 3 Tax Accounting
Tax System and Administration in the UK
Tax on Individuals
National Insurance
How to Submit a Self-Assessment Tax Return
Fundamentals of Income Tax
Payee, Payroll and Wages
Value Added Tax
Corporation Tax
Double Entry Accounting
Management Accounting and Financial Analysis
Career as a Tax Accountant in the UK
Course 03: Introduction to VAT

Understanding VAT
VAT Terminology and Calculation
VAT Taxable Persons
VAT Registration
VAT Rates
Invoicing and Records
VAT Application in Goods, Services and Vehicles
Supply
The VAT Return
Tips on VAT Compliance
VAT Exemptions and Zero-Rated VAT
Miscellaneous VAT Issues and Penalties
Making Tax Digital
Course 04: Level 3 Xero Training
Introduction
Getting Started
Invoices and Sales
Bills and Purchases
Bank Accounts
Products and Services
Fixed Assets
Payroll
VAT Returns
Course 05: Professional Bookkeeping Course
Introduction
Basic Accounting Terms
Common Transactions
Practice
Course 06: Microsoft Excel Level 3

Microsoft Excel 2019 New Features
Getting Started with Microsoft Office Excel
Performing Calculations
Modifying a Worksheet
Formatting a Worksheet
Printing Workbooks
Managing Workbooks
Working with Functions
Working with Lists
Analysing Data
Visualising 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
Excel Templates
Course 07: Presenting Financial Information
Presenting Financial Information
The Hierarchy of Performance Indicators
The Principle of Effective Reports
Guidelines for Designing Management Reports
Methods of Presenting Performance Data
The Control Chart: Highlighting the Variation in the Data
The Pareto Chart: Highlighting Priorities
Exercise: The Control Chart
An Example Management Report
Interpreting Performance Data
Supporting Colleagues by Giving Feedback
Data Visualisation Part 01
Data Visualisation Part 02
Data Visualisation Part 03
Data Visualisation Part 04
Final Thoughts on Presenting Financial Information
Course 08: GDPR Data ProtectionLevel 5
GDPR Basics
GDPR Explained
Lawful Basis for Preparation
Rights and Breaches
Responsibilities and Obligations
Course 09: Fraud Management & Anti Money Laundering Awareness Complete Diploma
Introduction to Money Laundering
Proceeds of Crime Act 2002
Development of Anti-Money Laundering Regulation
Responsibility of the Money Laundering Reporting Office
Risk-based Approach
Customer Due Diligence
Record Keeping
Suspicious Conduct and Transactions
Awareness and Training
Course 10: Business Analysis Level 3

Introduction to Business Analysis
Business Processes
Business Analysis Planning and Monitoring
Strategic Analysis and Product Scope
Solution Evaluation
Investigation Techniques
Ratio Analysis
Stakeholder Analysis and Management
Process Improvement with Gap Analysis
Documenting and Managing Requirements
Career Prospect as a Business Analyst in the UK
Course 11: Time Management

Identifying Goals
Effective Energy Distribution
Working with Your Personal Style
The detailed curriculum of the Accounting and Finance bundle is given in the resources section.
How will I get my Certificate?
After successfully completing the Accounting and Finance course, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.
PDF Certificate: Free (Previously, it was £10 * 11 = £110)
Hard Copy Certificate: Free (For The Title Course)
 CPD 
115 CPD hours/points  Accredited by CPD Quality Standards



 Who is this course for? 
No experience or previous qualifications are required for this Accounting and Finance Course enrolment.



 Requirements 
Our Accounting and Finance course is your path that might lead to a rewarding career. You will gain in-demand mastery in this program.



 Career path 
The Accounting and Finance course is beneficial for any profession or career from any industry you are in, such as:
Managers
Accountants
Bankers
Finance Officer
Payroll Officer
Bookkeeper
Finance Administrator



 Certificates 
Certificate of completion
Digital certificate - Included
Certificate of completion
Digital certificate - Included

Apex Learning

Xero

Tax Accounting

Accounting & Bookkeeping

Accounting and Finance Diploma

This Offer is vaild for first 10 Learners Only!!

Limited Time Offer!

<p dir="ltr" id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Whetstone Communications, in association with comms2point0, are delighted to bring you the Data Bites series of five <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">FREE</strong> webinars.</p><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Our aim is to boost interest and levels of data literacy among not-for-profit communicators.</span></p><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">By taking part, you will gain:</span></p><ul fr-original-style="" style="box-sizing: border-box;"><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Confidence in using some basic data techniques</span></li><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Examples and ideas for using data in your daily work</span></li><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Insight into using the power of AI for powerful insights</span></li><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">New knowledge and skills to help you stand out from the crowd - and even win awards&nbsp;</span></li></ul><div fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></div><div fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Now Booking: #2.&nbsp;</strong><span style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style="color:#000000;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Finding and Asking for Data (30 mins)</strong></span></div><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Where to find relevant data<br fr-original-style="" style="box-sizing: border-box;">Internal Data<br fr-original-style="" style="box-sizing: border-box;">Open Data and Public Data<br fr-original-style="" style="box-sizing: border-box;">Official Data<br fr-original-style="" style="box-sizing: border-box;">Alternative Data<br fr-original-style="" style="box-sizing: border-box;">Asking for data from internal colleagues<br fr-original-style="" style="box-sizing: border-box;">Data visualisation</p>

Whetstone Communications, in association with comms2point0, are delighted to bring you the Data Bites series of five FREE webinars.
Our aim is to boost interest and levels of data literacy among not-for-profit communicators.
By taking part, you will gain:
Confidence in using some basic data techniques
Examples and ideas for using data in your daily work
Insight into using the power of AI for powerful insights
New knowledge and skills to help you stand out from the crowd - and even win awards
Now Booking: #2. Finding and Asking for Data (30 mins)
Where to find relevant data
Internal Data
Open Data and Public Data
Official Data
Alternative Data
Asking for data from internal colleagues
Data visualisation

Alex Waddington

Communication

Digital Communication

Public Relations (PR)

Whetstone Communications and comms2point0 are pleased to bring you the Data Bites series of free webinars. Our aim is to boost interest and levels of data literacy among not-for-profit communicators.

[Data Bites for Comms Pros] #2 Finding and Asking for Data (30 mins)

Demand for data analysts, data scientists and data engineers tripled over the past five years, rising 231%. That's much faster than job postings overall in the UK, which grew 36%. Hence, the demand for skilled data analysts has skyrocketed in the UK and worldwide! On average, salaries for these data analysts' roles are £64,376 and keep rising.
With a broader overview of the data analyst's responsibility, data chart, and presentation tools, the bundle describes how to filter, improve and handle data to present various information. You'll learn process management, how to analyse data and how to make vital business decisions. The data analyst bundle will buckle you up to perform simple to complex business analysis tasks effectively and efficiently.
Furthermore, the data analyst course accentuates developing your programming skills for a data analyst, such as Python, SQL, and R. What's more? Besides strengthening Microsoft Excel skills for a data analyst, you can improve your expertise in Tableau, Google Data Studio and business analysis ability from this Data Analyst (Data Analytics) Bundle course. Hence, you can be an efficient data analyst and a competent candidate for a challenging position.
Learning Outcomes of Data Analyst (Data Analytics)
Upon completion of the Data Analyst (Data Analytics) program, you will have acquired:
Acquire a big-picture understanding of the data analyst role
Fundamentals of data analysis (data analysis), including process management, tools for data analysis, various charts
Ability to conduct thorough research and turn raw data into presentable information
Perform many data operations in Python's famous "pandas" library, including grouping, pivoting, joining and more!
Learn about NLP, Machine Learning (ML), data visualisation using Matplotlib, Seaborn and much more
Knowledge of all the essential SQL commands and become proficient in SQL tools like GROUP BY, JOINS, and Subqueries
Become competent in using sorting and filtering commands in SQL
Learn general cloud computing concepts and gain a solid understanding of the fundamental systems on which the cloud is based
Learn how to use the R programming language for data science, machine learning, and data visualisation
Learn data analytics with Tableau, business intelligence and data mining masterclass, basic Google Data studio
This Data Analyst (Data Analytics) Bundle Consists of the following Premium courses:
Course 01: Introduction to Data Analysis
Course 02: Python for Data Analysis
Course 03: SQL Programming Masterclass
Course 04: Data Science & Machine Learning with R
Course 05: Data Analytics with Tableau
Course 06: Basic Google Data Studio
Course 07: Business Intelligence and Data Mining Masterclass
Course 08: Business Analysis Level 3
Course 09: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query
Course 10: Cloud Computing / CompTIA Cloud+ (CV0-002)
Course 11: GDPR Data Protection Level 5
Course 12: ChatGPT Crash Course
Upon finishing this 12-course Data Analyst (Data Analytics) bundle, you will acquire the necessary skills for a thriving career in this rapidly expanding industry. Waste no more time - enrol today and commence your path towards a promising future!
The Curriculum of the Data Analyst Bundle:
Course 1: Introduction to Data Analysis
Introduction
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
Exercise
Course Project
Test your Understanding
Course 2: Python for Data Analysis
Welcome, Course Introduction & overview, and
Environment set-up
Python Essentials
Python for Data Analysis using NumPy
Python for Data Analysis using Pandas
Python for Data Visualization using mat plotlib
Python for Data Visualization using Seaborn
Python for Data Visualization using pandas
Python for interactive & geographical plotting using Plotly
and Cufflinks
Capstone Project - Python for Data Analysis &
Visualisation
Python for Machine Learning (ML) - sci-kit-learn - Linear
Regression Model
Python for Machine Learning - scikit-learn - Logistic
Regression Model
Python for Machine Learning - scikit-learn - K Nearest
Neighbours
Python for Machine Learning - scikit-learn - Decision Tree
and Random Forests
Python for Machine Learning - scikit-learn -Support Vector
Machines (SVMs)
Python for Machine Learning - scikit-learn - K Means
Clustering
Python for Machine Learning - scikit-learn - Principal
Component Analysis (PCA)
Recommender Systems with Python - (Additional Topic)
Python for Natural Language Processing (NLP) - NLTK -
(Additional Topic)
Course 3: SQL Programming Masterclass
Introduction
Setting up Course Tools
Browsing & Filtering Data
Filter Data with AND, OR, NOT Operators
Math Operations
String Concatenation
Tidy Up Your Results: Sorting, Alias Names, Limit
Records
NULL, DISTINCT & CASE Statements
Functions in SQL: Multiple-Row Functions
Functions in SQL: Single-Row Functions
Nested Queries
Casting & Data Conversion
Combination Relationships
Joins in SQL
Data Manipulation (DML)
SQL Data Definition Language (DDL)
Course 4: Data Science & Machine Learning with R
Data Science and Machine Learning Course Intro
Data Types and Structures in R
Data Types and Structures in R
Intermediate R
Data Manipulation in R
Data Visualisation in R
Creating Reports with R Markdown
Building WebApps with R Shiny
Introduction to Machine Learning
Starting A Career in Data Science
Course 5: Data Analytics with Tableau
Introduction to the Course
Project 1: Discount Mart (Sales and Profit Analytics)
Project 2: Green Destinations (HR Analytics)
Project 3: Superstore (Sales Agent Tracker)
Northwind Trade (Shipping Analytics)
Project 5: Tesla (Stock Price Analytics)
Bonus: Introduction to Database Concepts
Tableau Stories
Course 6: Basic Google Data Studio
Introduction to GDS
Data Visualisation
Geo-visualisation
A Socio-Economic Case Study
Course 7: Business Intelligence and Data Mining Masterclass
What is Business Intelligence?
Starting Case in understanding BI needs in diff phases
of business
Decision-Making Process and Need for IT Systems
Problem Structure and Decision Support System
Introduction to BI Applications
Dashboard presentation systems
Different Types of Charts used in 131 Dashboards
Good Dashboard and BSC
Examples of Bad Dashboards
Process of KPI Development
Overview of Data Warehouse
More explanation of the data warehouse and steps in
processing
Data Warehouse Architecture -Tiers
Data Warehouse - components
Approach to developing data structure and Models of
database
Basics of Data Mining - Meaning
Basics of Data Mining - Stages of DM
Data Mining Technique - Classification
Data mining - Clustering
Data Mining - Association Rules
Data Mining Applications - Banking
Data Mining Applications - CRM
Data Mining Applications - other industries
Course 8: Business Analysis Level 3
Introduction to Business Analysis
Business Processes
Business Analysis Planning and Monitoring
Strategic Analysis and Product Scope
Solution Evaluation
Investigation Techniques
Ratio Analysis
Stakeholder Analysis & Management
Process Improvement with Gap Analysis
Documenting & Managing Requirements
Career Prospect as a Business Analyst in the UK
Course 9: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query
Introduction
Prepaid Expenses Models: Resources Download
Accounting for Prepaid Expenses
Excel Formulas Detailed: Introduction to three Excel
Models
Formula-Based Prepaid Expenses Model
Calculate Prepaid Expenses Amortisation from Exact
Start Date
Prepaid Expenses Summary with Power Query & Pivot
Table
Advanced VBA Prepaid Expenses Amortisation Model
BONUS: Dynamic Dashboard for Divisional Profit &
Loss statements: Easy Way
Power Query & Pivot Tables based Dashboard without any Formulas, Fully Dynamic
Course 10: Cloud Computing CompTIA Cloud+ (CV0-002)
What You Need to Know
Introducing the Cloud
System Requirements for Cloud Deployments
Cloud Storage
Cloud Compute
Cloud Networking
Cloud Security
Migrating to the Cloud
Maintaining Cloud Solutions
Troubleshooting Cloud Solutions
Course 11: GDPR Data Protection
GDPR Basics
GDPR Explained
Lawful Basis for Preparation
Rights and Breaches
Course 12: ChatGPT Crash Course
Sign up for an OpenAI Account
What can ChatGPT do for you?
ChatGPT for Business
ChatGPT for Teaching
ChatGPT for Research
Limitations of ChatGPT
Additional Videos
 CPD 
130 CPD hours/points  Accredited by CPD Quality Standards
 Who is this course for? 
Anyone from any background can enrol in this Data Analyst (Data Analytics) bundle. Persons with similar professions can also refresh or strengthen their skills by enrolling in this Data Analyst (Data Analytics) bundle course. Students can take this course to gather professional knowledge besides their studies or for the future. 
Aspiring data analysts
Business analyst professionals who want to improve their skills
Anyone who desires to develop their data analysis skills
 
 Career path 
This Data Analyst (Data Analytics) Bundle is ideal for those who want to take their development to the next level and fast-track their career in any of the following roles:
Data Analyst: £30,000 - £50,000
Senior Data Analyst: £50,000 - £70,000
Data Scientist: £70,000 - £100,000
Business Intelligence Manager: £60,000 - £80,000
Machine Learning Engineer: £60,000 - £90,000
 Certificates 
Certificate of Completion
Digital certificate - Included
PDF certificate - Free (Previously, it was £6*12 = £72)
Certificate of Completion
Hard Copy certificate - Included
Hard Copy Certificate - Free (For The Title Course: Previously, it was £10)
Other Hard Copy certificates are available for £10 each
Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Google Data Studio

GDPR

Data Mining

Tableau

Python

ChatGPT

12 in 1 Career Guided Programme | Python, Data Science, ML, Tableau, SQL Programming, Data Mining, Business Analysis | 130 CPD Points | Tutor Support | Lifetime Access

Data Analyst (Data Analytics) Diploma - CPD Certified

<p fr-original-style="" id="isPasted" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Data has become the most important resource for every organisation &ndash; but the insights gained from data analysis will only ever be truly valuable if they can be clearly expressed to other people.&nbsp;</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course is for anybody who works with data, and needs to communicate the meaning that&#39;s in the numbers to colleagues, customers, bosses or external stakeholders.&nbsp;</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">It will give you or your team the confidence and skills to translate raw data into compelling visual stories for your key audiences. The principles and skills covered apply to the simplest PowerPoint chart, to more complex interactive visualisations.&nbsp;</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">We&rsquo;ll work with you before the course to ensure that we understand your organisation and what you&rsquo;re hoping to achieve.&nbsp;<br fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span fr-original-style="font-size: 18px;" style="font-size: 18px; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Sample learning content</strong></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Session 1: What makes a great data-driven story</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">The key elements of a successful infographic or presentation.</li><li fr-original-style="" style="box-sizing: border-box;"> Industry best practice, and discussion of good (and bad) examples. </li><li fr-original-style="" style="box-sizing: border-box;">A simple framework for identifying the Audience, Story and Action. </li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Session 2: Data in context</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">How to balance function and aesthetic appeal.&nbsp;</li><li fr-original-style="" style="box-sizing: border-box;"> Identifying the right graph, chart, infographic or other visual.&nbsp; </li><li fr-original-style="" style="box-sizing: border-box;">Framing the data and providing contextual information.  </li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Session 3: Designing for the human brain</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Using colours to add emphasis and meaning.  </li><li fr-original-style="" style="box-sizing: border-box;">Design and layout principles, and creating hierarchies of information. </li><li fr-original-style="" style="box-sizing: border-box;">The principle of &lsquo;self-sufficiency&rsquo;, and removing clutter.  </li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Session 4: Navigation and narrative</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Tailoring visualisations for different types of communications.&nbsp; </li><li fr-original-style="" style="box-sizing: border-box;">Structuring presentations and longer reports.&nbsp; </li><li fr-original-style="" style="box-sizing: border-box;">Thinking in layers to create interactive dashboards. </li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span fr-original-style="font-size: 18px;" style="font-size: 18px; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;">Delivery</strong></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">We deliver our courses over Zoom, to maximise flexibility. The training can be delivered in a single day, or across multiple sessions. All of our courses are live and interactive &ndash; every session includes a mix of formal tuition and hands-on exercises.  To ensure this is possible, the number of attendees is capped at 16 people.&nbsp;</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span fr-original-style="font-size: 18px;" style="font-size: 18px; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;">Tutor</strong></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Alan Rutter is the founder of Fire Plus Algebra. He is a specialist in communicating complex subjects through data visualisation, writing and design. He teaches for General Assembly and runs in-house training for public sector clients including the Home Office, the Department of Transport, the Biotechnology and Biological Sciences Research Council, the Health Foundation, and numerous local government and emergency services teams. He previously worked with Guardian Masterclasses on curating and delivering new course strands, including developing and teaching their B2B data visualisation courses. He oversaw the iPad edition launches of Wired, GQ, Vanity Fair and Vogue in the UK, and has worked with Cond&eacute; Nast International as product owner on a bespoke digital asset management system for their 11 global markets. </p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"><span fr-original-style="font-size: 18px;" style="font-size: 18px; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Testimonial</strong></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">&ldquo;I was familiar with Alan&rsquo;s work as a Guardian Masterclass instructor on data visualisation and digital journalism, which made it easy for me to recommend him for onsite training at the Liverpool School of Tropical Medicine. &nbsp;We had a large group of people interested in honing their abilities to depict their research and stories in engaging ways. &nbsp;Alan&rsquo;s course provided great insight about common communication pitfalls and how to avoid them, how to become better communicators by understanding the audience diversity, and it showcased some great online tools for creating infographics. &nbsp;This should be mandatory training for all students, academics, report writers and those involved with conveying research to the media as it will help increase the clarity and accessibility of our own research stories.&rdquo; <br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><em fr-original-style="" style="box-sizing: border-box;">Dr Lee Haines | Liverpool School of Tropical Medicine</em></strong></p>

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