1727 Analytics courses delivered Online

Overview Learn in detail about Exotic Options – Taxonomy, Barriers, and Baskets Who the course is for Fixed Income sales, traders, portfolio managers Bank Treasury Insurance Pension Fund ALM employees Central Bank and Government Funding managers Risk managers Auditors Accountants Course Content To learn more about the day by day course content please request a brochure To learn more about schedule, pricing & delivery options, book a meeting with a course specialist now

Overview This comprehensive course on Process Mapping : Toolkit will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Process Mapping : Toolkit comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Process Mapping : Toolkit. It is available to all students, of all academic backgrounds. Requirements Our Process Mapping : Toolkit is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 5 sections • 21 lectures • 01:12:00 total length •Introduction: 00:01:00 •What is the purpose of this course?: 00:02:00 •What is Lean Six Sigma?: 00:03:00 •DMAIC: 00:04:00 •What are the benefits of LSS & the toolkit?: 00:02:00 •Scenario to be used to explore the tools: 00:02:00 •Introduction to process mapping: 00:03:00 •Swim Lane: 00:04:00 •Swim Lane: Demonstration: 00:07:00 •Value Stream Map: 00:05:00 •Value Stream Map: Demonstration: 00:07:00 •SIPOC: 00:03:00 •SIPOC: Demonstration: 00:04:00 •Time Value Map: 00:03:00 •Time Value Map: Demonstration: 00:03:00 •Value Add Chart: 00:04:00 •Value Add Chart: Demonstration@@: 00:02:00 •Spaghetti Diagram: 00:04:00 •Spaghetti Diagram: Demonstration: 00:05:00 •Close out: 00:04:00 •Assignment - Process Mapping: Toolkit: 00:00:00

Certificate in Agile HR Practice Level 1 Explore the essential foundations of HR and Agile methodologies, cultivate an Agile mindset, and develop effective leadership skills. Dive into the practical aspects of implementing Agile HR, optimising talent management within an Agile framework, and measuring success. Stay ahead of the curve and glimpse into the future of Agile HR, positioning yourself as a forward-thinking HR professional. Learning Outcomes: Explain the foundations of HR within Agile contexts. Demonstrate an Agile mindset and leadership principles. Implement Agile HR practices effectively. Manage talent in an Agile HR environment. Evaluate and measure success in Agile HR. Explore the future trends in Agile HR practices. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Certificate in Agile HR Practice Level 1 Course Syllabus Principles of Agile HR: Establish a solid understanding of the fundamentals of Human Resources (HR) while embracing the principles of "Agile HR" practices for enhanced flexibility and adaptability. Agile Mindset and Leadership: Cultivate an agile mindset and leadership skills that empower you to navigate the ever-evolving HR landscape with agility and innovation. Implementing Agile HR: Learn how to practically implement "Agile HR" methodologies within your organisation, ensuring HR practices align with the agile principles. Talent Management in Agile HR: Explore innovative approaches to talent management, including recruitment, development, and retention, in the context of "Agile HR." Effectiveness of Agile HR: Develop key performance indicators (KPIs) and metrics to measure the effectiveness of "Agile HR" practices, allowing for data-driven improvements. Future of Agile HR: Gain insights into the future of HR in an agile world, staying ahead of trends and emerging practices to remain a leader in "Agile HR."

Dive into the world of marketing with our Marketing course. From sales fundamentals to future trends, enhance your skills in sales team management, market understanding, and sales-marketing alignment. Perfect for budding marketers and sales professionals.

Unlock your potential and elevate your business acumen with our comprehensive course on Strategic Planning: Marketing, External and Internal Analysis. Designed for professionals seeking to master the intricacies of strategic planning, this course delves into the core elements of marketing, internal, and external analysis, equipping you with the tools and knowledge to drive your organization toward sustained success. Key Features: CPD Certified Free Certificate from Reed CIQ Approved Developed by Specialist Lifetime Access This course on Strategic Planning teaches you how to create effective plans for business success. You will learn the basics of strategic planning and how it applies to marketing. The course covers analyzing both internal and external factors that affect a business. You will learn how to assess your company's strengths and weaknesses, as well as understand the market and competition. The course also teaches how to develop a strategic plan, focusing on customer needs and competitor strategies. You will learn about market segmentation, targeting, and positioning to effectively reach your desired audience. By the end of the course, you will have the skills to create and implement a strategic plan that helps your business grow and succeed. Course Curriculum Module 01: An Introduction to Strategic Planning Module 02: Strategic Planning for Marketing Module 03: Strategic and Marketing Analysis Module 04: Internal Analysis Module 05: External Analysis Module 06: Development of a Strategic Plan Module 07: Approaches to Customer Analysis Module 08: Approaches to Competitor Analysis Module 09: Market Segmentation, Targeting and Positioning Learning Outcomes: Understand fundamental principles of strategic planning and marketing strategies. Conduct comprehensive strategic and marketing analysis for business growth. Evaluate internal factors impacting organisational performance and strategic planning. Analyse external factors influencing business strategies and market positioning. Develop effective strategic plans aligned with business objectives and market conditions. Implement customer and competitor analysis techniques for market segmentation. CPD 10 CPD hours / points Accredited by CPD Quality Standards Strategic Planning: Marketing, External and Internal Analysis 1:55:58 1: Module 01: An Introduction to Strategic Planning 08:25 2: Module 02: Strategic Planning for Marketing 08:00 3: Module 03: Strategic and Marketing Analysis 09:25 4: Module 04: Internal Analysis 15:54 5: Module 05: External Analysis 15:02 6: Module 06: Development of a Strategic Plan 15:12 7: Module 07: Approaches to Customer Analysis 15:08 8: Module 08: Approaches to Competitor Analysis 15:58 9: Module 09: Market Segmentation, Targeting and Positioning 11:54 10: CPD Certificate - Free 01:00 Who is this course for? Marketing managers aiming to improve strategic planning skills. Business analysts focusing on internal and external business analysis. Entrepreneurs developing effective business strategies. Consultants advising clients on market positioning. Students pursuing careers in strategic marketing. Career path Marketing Manager Business Analyst Strategic Planner Market Research Analyst Business Consultant Brand Manager Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

From business to research, having a solid grasp of Excel Data analysis can open doors of opportunity in various industries. Learn this valuable skill set from the comfort of your home with the Data Analysis In Excel course. This course will introduce you to the ins and outs of Excel data analysis. This Data Analysis In Excel course will help you establish a solid foundation in Excel data analysis. This course will help you pick up the skills to visualise data with charts in Excel. Here, you will also learn about Pivot Tables and Charts. Furthermore, the course will teach you how to work with multiple Workbooks. In addition, you will learn about Lookup factions and how to use them. By the end of this course, you will know the essentials of automating Workbook functionality. This course will assist you in securing effective data analysis skills. In addition, you will receive a QLS-endorsed certificate of achievement. This certificate will enhance your employability in the relevant job market. Join now!  Learning Outcomes Understand the basic principles of data analysis with Excel Learn how to visualise data with Excel charts Build your expertise in using Pivot Tables and Charts Grasp the techniques of working with multiple Worksheets and Workbooks Know the process of automating Workbook functionality Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Upon successful completion of the final assessment, you will be eligible to apply for the Quality Licence Scheme Endorsed Certificate of achievement. This certificate will be delivered to your doorstep through the post for £99. An extra £10 postage charge will be required for students leaving overseas.  CPD Accredited Certificate After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment At the end of the course, there will be an MCQ assessment. In order to pass this exam, you must score at least 60%. When you submit the assessment, it will be examined, and the results will be given to you immediately. Career path This course is designed to help you extant your knowledge and understanding of this sector. After completing the course, you will be able to explore career options such as Data Analyst Research Assistant Researcher Business Analyst

Overview This comprehensive course on Financial Statements Fraud Detection Training will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Financial Statements Fraud Detection Training comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Financial Statements Fraud Detection Training. It is available to all students, of all academic backgrounds. Requirements Our Financial Statements Fraud Detection Training is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 2 sections • 21 lectures • 02:11:00 total length •Introduction to the Course: 00:03:00 •Meaning of Financial Fraud: 00:05:00 •Definition of Financial Statement Fraud: 00:07:00 •Cost of Financial Fraud: 00:04:00 •Who Commits Financial Fraud?: 00:11:00 •Conceptual Framework of Financial Statement: 00:11:00 •Qualitative Characteristics of Financial Statements: 00:02:00 •Methods of Committing Financial Statement Fraud: 00:02:00 •Method 1 of Financial Fraud: False Revenue Part 1: 00:05:00 •Method 1 of Financial Fraud: False Revenue Part 2: 00:02:00 •Method 2 Timing Differences: 00:10:00 •Method 3 Concealment of Liabilities: 00:06:00 •Method 4 Improper Disclosure: 00:09:00 •Additional Red flags for Method 4: 00:02:00 •Method 5 Improper Asset Valuation: 00:12:00 •Deterrence of Financial Fraud: 00:08:00 •Understanding Revenue Falsification: 00:08:00 •Catching Falsification of Expenses: 00:08:00 •Financial Frauds in Assets: 00:11:00 •Financial Statement Fraud in Liabilities: 00:05:00 •Resource - Financial Statements Fraud Detection Training: 00:00:00

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Are you looking to enhance your Data Analysis with Excel skills? If yes, then you have come to the right place. Our comprehensive course on Data Analysis with Excel will assist you in producing the best possible outcome by mastering the Data Analysis with Excel skills. The Data Analysis with Excel is for those who want to be successful. In the Data Analysis with Excel, you will learn the essential knowledge needed to become well versed in Data Analysis with Excel. Our Data Analysis with Excel starts with the basics of Data Analysis with Excel and gradually progresses towards advanced topics. Therefore, each lesson of this Data Analysis with Excel is intuitive and easy to understand. Why would you choose the Data Analysis with Excel from Compliance Central: Lifetime access to Data Analysis with Excel materials Full tutor support is available from Monday to Friday with the Data Analysis with Excel Learn Data Analysis with Excel skills at your own pace from the comfort of your home Gain a complete understanding of Data Analysis with Excel Accessible, informative Data Analysis with Excel learning modules designed by expert instructors Get 24/7 help or advice from our email and live chat teams with the Data Analysis with Excel bundle Study Data Analysis with Excel in your own time through your computer, tablet or mobile device. A 100% learning satisfaction guarantee with your Data Analysis with Excel Improve your chance of gaining in demand skills and better earning potential by completing the Data Analysis with Excel Data Analysis with Excel Curriculum Breakdown of the Data Analysis with Excel Modifying a Worksheet Insert, Delete, and Adjust Cells, Columns, and Rows Search for and Replace Data Use Proofing and Research Tools Working with Lists Sort Data Filter Data Query Data with Database Functions Outline and Subtotal Data Analyzing Data Apply Intermediate Conditional Formatting Apply Advanced Conditional Formatting Visualizing Data with Charts Create Charts Modify and Format Charts Use Advanced Chart Features Using PivotTables and PivotCharts Create a PivotTable Analyze PivotTable Data Present Data with PivotCharts Filter Data by Using Timelines and Slicers Working with Multiple Worksheets and Workbooks Use Links and External References Use 3-D References Consolidate Data Using Lookup Functions and Formula Auditing Use Lookup Functions Trace Cells Watch and Evaluate Formulas Automating Workbook Functionality Apply Data Validation Search for Invalid Data and Formulas with Errors Work with Macros Creating Sparklines and Mapping Data Create Sparklines MapData Forecasting Data Determine Potential Outcomes Using Data Tables Determine Potential Outcomes Using Scenarios Use the Goal Seek Feature Forecasting Data Trends CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Data Analysis with Excel helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Data Analysis with Excel. It is also great for professionals who are already working in Data Analysis with Excel and want to get promoted at work. Requirements To enrol in this Data Analysis with Excel, all you need is a basic understanding of the English Language and an internet connection. Career path The Data Analysis with Excel will enhance your knowledge and improve your confidence in exploring opportunities in various sectors related to Data Analysis with Excel. Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99

Duration 2 Days 12 CPD hours This course is intended for Designed for individuals new to the business analyst role or those who supervise and/or work with business analysts. Overview Understand the role of the business analyst Discuss industry standards/resources for obtaining more information about business analysis Acquire a solid understanding of the various tasks/activities that comprises business analysis Recognize the pre and post project business analysis activities Learn how to plan, elicit, analyze, model, and test requirements This is an introductory course designed to provide students with a basic understanding of the benefits, functions and impact a business analyst has within an organization. The course discusses the business analysis process as it is applied throughout a project as well as the pre-project activities that comprise strategy analysis. Students learn how a business analyst supports the project throughout the solution development life cycle, from defining business needs and solution scope to validating that requirements have been met in the testing phase and ensuring the solution continues to provide value after implementation. Introduction to Business Analysis Business analysis defined The activities that comprise business analysis IIBA/PMI and the goals of a professional association IIBA?s BABOK© Guide and PMI?s Practice Guide in Business Analysis Exercise: Requirements challenges The IIBA? and the role of the Business Analyst Business analyst defined BA role vs. PM role Importance of communication/collaboration The deliverables produced as part of business analysis The BA career path Exercise: Review case Study Strategy Analysis and Change The definition of Strategy Analysis Components of Strategy Analysis Identifying stakeholders and business needs Exercises: Business Need development and RACI Stakeholder Identification Understanding and Defining Solution Scope Defining Solution Scope Project scope vs. product scope Defining a problem statement Techniques for defining scope Exercises: Conduct a brainwriting session and create a context diagram Optional exercise: Create a Use Case Diagram Understanding Requirements Define the term requirement Understand requirement types Present the requirements process Requirements vs. specifications and business rules Exercise: Identify Requirements Planning & Eliciting Requirements The Requirements Work Plan (RWP) Components of the RWP Identifying good questions for elicitation Active listening Categories and types of elicitation techniques Exercise: Planning for elicitation Analzying & Documenting Requirements Understanding requirements analysis The Business Requirements Document (BRD) The BRD vs. the functional requirements specification BRD components The purpose of packaging requirements Exercise: Analyzing Requirements Elicitation & Process Modeling Why models are created Objectives of modeling What is process management Understanding process modeling Modeling using BPMN AS-IS vs. TO-BE modeling BPMN subclasses BPMN simple structure Prototyping Business Process Modeling case study Exercises: Modeling and create a Prototype of your application Verifying & Validating Requirements The difference between validation and verification Characteristics of good requirements Risks associated with requirements Types of testing approaches Creating a test plan Requirements traceability matrix Verified and validated requirements Exercise: Testing Requirements Additional Resources Helpful links for obtaining additional business analysis information Additional course details: Nexus Humans BA01 - Business Analysis Essentials training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the BA01 - Business Analysis Essentials course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.