3264 Microsoft courses

Turn Your Dreams into Reality with the Excel Analyst - Excel Data Analysis and Visualisation Course Training course. This comprehensive Excel Analyst - Excel Data Analysis and Visualisation Course online course will equip you with the knowledge and skills you need to succeed in your chosen field. Whether you're a beginner or looking to take your career to the next level, this course has covered you. Key Learning Outcomes: Understanding the core concepts and theories in your field Building your knowledge and skills through practical, hands-on learning Developing the ability to think critically and solve problems effectively Enhancing your communication skills and the ability to work effectively with others Gaining a competitive edge in your career and reaching your full potential With a flexible online format that allows you to learn at your own pace, Excel Analyst - Excel Data Analysis and Visualisation Course training course offers a convenient and accessible way to boost your career prospects. So why wait? Enrol today and take the first step towards success! Vital Component of the Excel Analyst - Excel Data Analysis and Visualisation Course course: CPD Accredited Course Unlimited Retake Exam & Tutor Support Easy Accessibility to the Course Materials 100% Learning Satisfaction Guarantee Lifetime Access & 24/7 Support Self-paced online course Modules Covers to Explore Multiple Job Positions Transform your career with the Excel Analyst - Excel Data Analysis and Visualisation Course Bundle! Perfect your skills and stand out in the employment market with our comprehensive training program. Impress potential employers and add valuable expertise to your resume. Don't wait-enrol in the Excel Analyst - Excel Data Analysis and Visualisation Course Bundle now and take the first step towards a successful and fulfilling career! Course Outline: Modifying a Worksheet Working with Lists Analyzing Data Visualizing Data with Charts Using PivotTables and PivotCharts Working with Multiple Worksheets and Workbooks Using Lookup Functions and Formula Auditing Automating Workbook Functionality Creating Sparklines and Mapping Data Forecasting Data CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is the perfect fit for anyone seeking to start or advance in the Excel Analyst - Excel Data Analysis and Visualisation Course industry. Whether you're a beginner or looking to expand your knowledge, this comprehensive training will provide you with the essential skills and expertise to succeed. Requirements Join the Excitement-With this Excel Analyst - Excel Data Analysis and Visualisation Course course, there's no limit to what you can achieve. From day one, you'll be on your way to building a fulfilling career in this thriving field. No prior experience is required to enrol in this course. Career path Upon completion, you'll have the opportunity to pursue a variety of in-demand Excel Analyst - Excel Data Analysis and Visualisation Course jobs, with endless possibilities for growth and success. Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each

Overview This comprehensive course on Financial Modeling Using Excel will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Financial Modeling Using Excel comes with accredited certification 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 Modeling Using Excel. It is available to all students, of all academic backgrounds. Requirements Our Financial Modeling Using Excel is fully compatible with PC's, Mac's, Laptop,Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 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 Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 2 sections • 9 lectures • 01:31:00 total length •Welcome to the Course! Get the Overview of What You'll Learn: 00:04:00 •Planning your Financial Model: 00:09:00 •Building a Model Template: 00:12:00 •Projecting the Income Statement: 00:13:00 •Projecting the Balance Sheet: 00:17:00 •Projecting Cash Flows: 00:14:00 •Advanced Financial Modeling: 00:14:00 •BONUS LESSON: Top 5 Excel Features for Financial Modellers: 00:08:00 •Resources - Financial Modeling Using Excel: 00:00:00

Master Azure DevOps and Git for seamless, efficient software delivery. This comprehensive course covers everything from basic project management concepts to advanced continuous delivery techniques in Azure DevOps, tailored for technical professionals.

This is a comprehensive course for using HashiCorp Packer in your organization. The course teaches you about using HCL2 to create your Packer templates, the new standard moving forward. Explore the core HashiCorp Packer components and access hands-on labs you can perform in your environment.

Business Intelligence Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence

Business Intelligence: In-House Training Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence

This course will teach you how Selenium WebDriver is used to test web applications. You will start by understanding the concepts of Java and gradually move toward understanding Selenium, TestNG framework, Maven, Jenkins, Cucumber, Gherkin, and a lot more interesting topics that will make you a pro in automation testing.

Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this

Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step