804 Business Analytics & Intelligence courses

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course are Application Consultants, Business Analysts, Business Process Owners/Team Leads/Power Users, Program/Project Managers, and Users. Overview Learn how to create queries in BEx Query DesignerLearn how to use advanced query functionsLearn how to perform OLAP analysis In this course, students obtain the knowledge to create query definitions using the BEx Query Designer and to make them available for OLAP analysis. Data Warehousing Describing Data Warehousing Describing Data Warehouse Architecture Using Reporting Tools Navigation Options in Reports Using the Navigation Options in Reports Saving Analysis Views Simple Queries Creating Simple Queries Finding a Query Filtering Query Definition Data Configuring Query Properties Key Figures and Structures in Queries Creating Restricted Key Figures Creating Calculated Key Figures Creating a New Formula with Boolean Operators Configuring Properties of Key Figures Using Exception and Nested Exception Aggregation Queries with Multiple Structures Creating Structures Resolving Formula Collision Designing Detailed Queries with the Cell Editor Characteristics and Hierarchies in Queries Configuring the Properties of Characteristics Running Display and Navigation Attribute Queries Adding Hierarchies to Reports Adding External Hierarchies to a Report Using Hierarchies and Structures Creating External Hierarchies Variables in Queries Using Variables Creating Characteristic Value and Text Variables in Queries Creating Hierarchy and Hierarchy Node Variables in Queries Creating Formula Variables in Queries Activating Business Content Variables Exceptions and Conditions in Queries Creating Exceptions in Query Design Creating Conditions in Query Design Report-Report Interface Using the Report-Report Interface Query Performance Optimization Optimizing Query Performance Configuring Query Read Mode Use Performance Monitoring Tools Queries Management and Authorizations Overview Managing Query Objects Describing Authorizations Reporting Options Outlining Reporting Options for SAP NetWeaver BW Additional course details: Nexus Humans BW305 SAP Business Warehouse Query Design and Analysis 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 BW305 SAP Business Warehouse Query Design and Analysis 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.

Duration 3 Days 18 CPD hours This course is intended for Authors Overview Please refer to course overview This course provides authors with an introduction to build reports using Cognos Analytics. Techniques to enhance, customize, and manage reports will be explored. Activities will illustrate and reinforce key concepts during this learning opportunity. What is IBM Cognos Analytics - Reporting The Welcome page Consume report content Interactive filtering Working with reports Dimensionally modeled relational dataUse personal data sources and data modules Upload personal data Upload custom images Using navigation paths in a data module Examine list reports Group data Format columns Include headers and footers Aggregate fact data Identify differences in aggregation Multiple facts and repeated information Use shared dimensions to create multi-fact queries Present repeated information Add repeated information to reports Create a mailing list report Create crosstab reports Add measures to a crosstab Data sources for a crosstab Create complex crosstab reports Add items as peers Create crosstab nodes and crosstab members Work with crosstab data Format, sort, and aggregate a crosstab Create discontinuous crosstab reportsCreate visualization reports Visualization categories Customize visualizations Client side visualizations Enhanced map visualizations Focus reports using filters Create filters to narrow the focus Use advanced detail filters Apply a filter with aggregation Use summary filters Focus reports using prompts Examine parameters and prompts Create a parameter for a report item Add a prompt page Add a prompt item to a report Identify a prompt type Create a cascading prompt Use calculations What are calculations Add Date and Time functions Add string functions Display prompt selections in report titles Customize reports with conditional formatting Three steps for conditional formatting Create a variable Assign the variable to a report object Format based on the conditional value Conditionally render report objects Drill-through definitions Navigate to related data Enhance report layout View the structure of a report Use Guided report layout Force page breaks Create horizontal pagination Modify the report structure Format objects across reports Use additional report-building techniques Enhance a report design Add objects to reports Convert a list to a crosstab Explore reuse Additional course details: Nexus Humans B6258 IBM Cognos Analytics - Author Reports Fundamentals V11.1.x 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 B6258 IBM Cognos Analytics - Author Reports Fundamentals V11.1.x course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Overview This is a 2 day applied course on XVA for anyone interested in going beyond merely a conceptual understanding of XVA and wants practical examples of Monte Carlo simulation of market risk factors to create exposure distributions and profiles for derivatives used for XVA pricing Learn how to do Monte Carlo simulation of key market risk factors across major asset classes to create exposure distributions and profiles (with and without collateral) for derivatives used for XVA pricing. Learn how to calculate each XVA. Learn sensitivities of each XVA and how XVA desks manage these. Learn regulatory capital treatment of counterparty credit risk (both for CCR and CVA volatility) and how to stress test this within ICAAP or system-wide external, supervisor-led capital stress test. Who the course is for Anyone involved in OTC derivatives XVA traders XVA quants Derivatives traders and salespeople Risk management Treasury staff Internal audit and finance 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

Ai (Artificial Intelligence) for Business Leaders Recognize the challenges and limitations of Generative AI, and gain insight into the future outlook of AI in business strategy. Equip yourself with the essential skills and knowledge needed to lead in an AI-driven business landscape. Learning Outcomes: Explain the fundamentals of Artificial Intelligence for business. Analyze the strategic impact of AI on business models. Evaluate the business implications of Generative AI. Assess the challenges and limitations of Generative AI. Predict the future role of AI in business strategy. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Ai (Artificial Intelligence) for Business Leaders Course Syllabus Ai (Artificial Intelligence) for Business: Gain a comprehensive understanding of AI and its significance in the business landscape, equipping you with the foundational knowledge to lead AI-driven initiatives. Strategic Impact of Ai (Artificial Intelligence) on Business: Explore how AI strategically impacts different business models, enabling you to identify opportunities for innovation and growth. Implications of Generative Ai (Artificial Intelligence): Delve into the applications and implications of Generative AI within business contexts, fostering the ability to harness its creative potential. Challenges of Ai (Artificial Intelligence): Understand the challenges and limitations associated with Generative AI, allowing you to make informed decisions and mitigate potential risks. Ai (Artificial Intelligence) in Business Strategy: Anticipate the future landscape of AI in business strategy, enabling you to proactively adapt and lead in an AI-driven environment. Leaders in Ai (Artificial Intelligence)-Driven Business: Develop the essential skills and knowledge required to lead AI-driven initiatives effectively, ensuring your leadership in the AI era is both informed and visionary.

Duration 3 Days 18 CPD hours This course is intended for Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform Overview This course teaches students the following skills: Derive insights from data using the analysis and visualization tools on Google Cloud Platform Interactively query datasets using Google BigQuery Load, clean, and transform data at scale Visualize data using Google Data Studio and other third-party platforms Distinguish between exploratory and explanatory analytics and when to use each approach Explore new datasets and uncover hidden insights quickly and effectively Optimizing data models and queries for price and performance Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL. Introduction to Data on the Google Cloud Platform Highlight Analytics Challenges Faced by Data Analysts Compare Big Data On-Premises vs on the Cloud Learn from Real-World Use Cases of Companies Transformed through Analytics on the Cloud Navigate Google Cloud Platform Project Basics Lab: Getting started with Google Cloud Platform Big Data Tools Overview Walkthrough Data Analyst Tasks, Challenges, and Introduce Google Cloud Platform Data Tools Demo: Analyze 10 Billion Records with Google BigQuery Explore 9 Fundamental Google BigQuery Features Compare GCP Tools for Analysts, Data Scientists, and Data Engineers Lab: Exploring Datasets with Google BigQuery Exploring your Data with SQL Compare Common Data Exploration Techniques Learn How to Code High Quality Standard SQL Explore Google BigQuery Public Datasets Visualization Preview: Google Data Studio Lab: Troubleshoot Common SQL Errors Google BigQuery Pricing Walkthrough of a BigQuery Job Calculate BigQuery Pricing: Storage, Querying, and Streaming Costs Optimize Queries for Cost Lab: Calculate Google BigQuery Pricing Cleaning and Transforming your Data Examine the 5 Principles of Dataset Integrity Characterize Dataset Shape and Skew Clean and Transform Data using SQL Clean and Transform Data using a new UI: Introducing Cloud Dataprep Lab: Explore and Shape Data with Cloud Dataprep Storing and Exporting Data Compare Permanent vs Temporary Tables Save and Export Query Results Performance Preview: Query Cache Lab: Creating new Permanent Tables Ingesting New Datasets into Google BigQuery Query from External Data Sources Avoid Data Ingesting Pitfalls Ingest New Data into Permanent Tables Discuss Streaming Inserts Lab: Ingesting and Querying New Datasets Data Visualization Overview of Data Visualization Principles Exploratory vs Explanatory Analysis Approaches Demo: Google Data Studio UI Connect Google Data Studio to Google BigQuery Lab: Exploring a Dataset in Google Data Studio Joining and Merging Datasets Merge Historical Data Tables with UNION Introduce Table Wildcards for Easy Merges Review Data Schemas: Linking Data Across Multiple Tables Walkthrough JOIN Examples and Pitfalls Lab: Join and Union Data from Multiple Tables Advanced Functions and Clauses Review SQL Case Statements Introduce Analytical Window Functions Safeguard Data with One-Way Field Encryption Discuss Effective Sub-query and CTE design Compare SQL and Javascript UDFs Lab: Deriving Insights with Advanced SQL Functions Schema Design and Nested Data Structures Compare Google BigQuery vs Traditional RDBMS Data Architecture Normalization vs Denormalization: Performance Tradeoffs Schema Review: The Good, The Bad, and The Ugly Arrays and Nested Data in Google BigQuery Lab: Querying Nested and Repeated Data More Visualization with Google Data Studio Create Case Statements and Calculated Fields Avoid Performance Pitfalls with Cache considerations Share Dashboards and Discuss Data Access considerations Optimizing for Performance Avoid Google BigQuery Performance Pitfalls Prevent Hotspots in your Data Diagnose Performance Issues with the Query Explanation map Lab: Optimizing and Troubleshooting Query Performance Advanced Insights Introducing Cloud Datalab Cloud Datalab Notebooks and Cells Benefits of Cloud Datalab Data Access Compare IAM and BigQuery Dataset Roles Avoid Access Pitfalls Review Members, Roles, Organizations, Account Administration, and Service Accounts

Duration 1 Days 6 CPD hours This course is intended for This course is aimed at users with the Tableau CRM license who need to build effective lenses and dashboards for their business users to explore their data. It may also be of interest to users who are connecting and integrating this data, to understand how it is used in the lens and dashboard building process. Overview Build and manage apps in Tableau CRM Design a dashboard based on requirements, and create a dashboard template Create and add lenses to build a dashboard Optimize a dashboard for mobile use Ready to start building in Tableau CRM? In this course, you?ll find out how to design and create an effective dashboard layout to help viewers quickly find their way around. You?ll learn how to build lenses and add them into your dashboards using the Tableau CRM Dashboard Designer. Once you?ve created a dashboard, you?ll also learn how to optimize the dashboard for mobile. Finally you?ll also learn how to organize your lenses and dashboards using apps and ensure that only the right users have access to them.Looking for Tableau classes? Check out the Tableau catalog here. Managing Apps, Lenses, Dashboards, and Datasets Overview of building and managing apps Building an app Manage apps, lenses, dashboards, and datasets Designing a Dashboard and Creating a Template Dashboard Building Overview Designing a Dashboard Create a dashboard template Building a Dashboard Building a Dashboard Adding Charts, Tables, and KPIs to a Dashboard Adding Filters to a Dashboard Modify a Dashboard for Mobile Translating Desktop Dashboards to a Mobile Device Creating/Updating Mobile Dashboard Layouts

Are you ready to embark on an enlightening journey of wisdom with the Data Analysis bundle, and pave your way to an enriched personal and professional future? If so, then Step into a world of knowledge with our bundle - Data Analysis with SQL & Tableau for Data Analytics. Delve into eight immersive CPD Accredited courses, each a simple course: Course 1: Introduction to Data Analytics with Tableau Course 2: Big Data Analytics with PySpark Tableau Desktop and MongoDB Course 3: Big Data Analytics with PySpark Power BI and MongoDB Course 4: Google Data Studio: Data Analytics Course 5: SQL for Data Science, Data Analytics and Data Visualization Course 6: Business Analysis Course Level 5 Course 7: Financial Analysis Course 8: Data Analysis and Forecasting in Excel Traverse the vast landscapes of theory, unlocking new dimensions of understanding at every turn. Let the Data Analysis with SQL & Tableau for Data Analytics bundle illuminate your path to wisdom. The Data Analysis with SQL & Tableau for Data Analytics 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. In the framework of the Data Analysis with SQL & Tableau for Data Analytics 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 Data Analysis 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! So, don't wait further and join the Data Analysis with SQL & Tableau for Data Analytics community today and let your voyage of discovery begin! Learning Outcomes: Upon completion of the Data Analysis with SQL & Tableau for Data Analytics Bundle, you will be able to: Attain a holistic understanding in the designated areas of study with the Data Analysis bundle. Establish robust bases across each course nestled within the Data Analysis bundle. Decipher intricate concepts through the articulate content of the Data Analysis bundle. Amplify your prowess in interpreting, scrutinising, and implementing theories. Procure the capacity to engage with the course material on an intellectual and profound level. Become proficient in the art of problem-solving across various disciplines. Stepping into the Data Analysis with SQL & Tableau for Data Analytics 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. The Data Analysis 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 Data Analysis with SQL & Tableau for Data Analytics bundle fosters personal growth, enabling learners to skillfully navigate the complexities of the world. The Data Analysis 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 Data Analysis bundle allows learners to make meaningful contributions to their chosen fields. Embark on the Data Analysis journey and let knowledge guide you towards a brighter future. CPD 80 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals keen on deepening their firm understanding in the respective fields. Students pursuing higher education looking for comprehensive theory modules. Professionals seeking to refresh or enhance their knowledge. Anyone with a thirst for knowledge and a passion for continuous learning. Requirements Without any formal requirements, you can delightfully enrol in this Data Analysis with SQL & Tableau for Data Analytics Bundle. Career path Armed with the Data Analysis with SQL & Tableau for Data Analytics 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's academic research, consultancy, or programme management, the Data Analysis bundle lays a solid groundwork. Certificates CPD Certificate Of Completion Digital certificate - Included 8 Digital Certificates Are Included With This Bundle CPD Quality Standard Hardcopy Certificate (FREE UK Delivery) Hard copy certificate - £9.99 Hardcopy Transcript: £9.99

Overview We live in an era where data, data and data surround us. You need to share something one way or another to use most of the services around you; just name it. Whether it is about reading a blog post, visiting a website, surveying for a service, seeing any social media post, or looking for offers, you must share some data, if not anything, and your email, at least.But do you ever realise why, in all these situations, you need to share your data? Because your data is oxygen in this world. Companies want to know what you are thinking or what you are about to do before you even think or are about to do it. Sounds crazy, right? Don't be.It is a new branch of knowledge and profession. A data analyst gathers, cleans, and evaluates data sets to find an explanation or resolve an issue. The most common tool for doing these is Microsoft Excel. Our Data Analysis in Microsoft Excel Complete Training course will prepare you to use Microsft Excel in data analysis. What Can You Expect To Achieve By Completing This Course? Proficiency in modifying and organising data within Excel worksheets. Skills in working with lists and effectively analysing data. Ability to create visual representations of data using charts and graphs. Competence in using PivotTables and PivotCharts for data summarisation and analysis. Command in managing multiple worksheets, workbooks, and advanced Excel functions for data manipulation and forecasting. 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 Data Analysis in Microsoft Excel Complete Training. It is available to all students, of all academic backgrounds. Requirements Our Data Analysis in Microsoft Excel Complete Training 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 11 sections • 31 lectures • 04:46:00 total length •Insert, Delete, and Adjust Cells, Columns, and Rows: 00:10:00 •Search for and Replace Data: 00:09:00 •Use Proofing and Research Tools: 00:07:00 •Sort Data: 00:10:00 •Filter Data: 00:10:00 •Query Data with Database Functions: 00:09:00 •Outline and Subtotal Data: 00:09:00 •Apply Intermediate Conditional Formatting: 00:07:00 •Apply Advanced Conditional Formatting: 00:05:00 •Create Charts: 00:13:00 •Modify and Format Charts: 00:12:00 •Use Advanced Chart Features: 00:12:00 •Create a PivotTable: 00:13:00 •Analyze PivotTable Data: 00:12:00 •Present Data with PivotCharts: 00:07:00 •Filter Data by Using Timelines and Slicers: 00:11:00 •Use Links and External References: 00:12:00 •Use 3-D References: 00:06:00 •Consolidate Data: 00:10:00 •Use Lookup Functions: 00:12:00 •Trace Cells: 00:05:00 •Watch and Evaluate Formulas: 00:10:00 •Apply Data Validation: 00:13:00 •Search for Invalid Data and Formulas with Errors: 00:04:00 •Work with Macros: 00:18:00 •Create Sparklines: 00:07:00 •MapData: 00:07:00 •Determine Potential Outcomes Using Data Tables: 00:08:00 •Determine Potential Outcomes Using Scenarios: 00:09:00 •Use the Goal Seek Feature: 00:04:00 •Forecasting Data Trends: 00:05:00

Get ready for an exceptional online learning experience with the Big Data Analysis & Data Science Diploma bundle! This carefully curated collection of 20 premium courses is designed to cater to a variety of interests and disciplines. Dive into a sea of knowledge and skills, tailoring your learning journey to suit your unique aspirations. The Big Data Analysis & Data Science Diploma is a dynamic package, blending the expertise of industry professionals with the flexibility of digital learning. It offers the perfect balance of foundational understanding and advanced insights. Whether you're looking to break into a new field or deepen your existing knowledge, the Data Analysis & Data Science Diploma package has something for everyone. As part of the Big Data Analysis & Data Science Diploma package, you will receive complimentary PDF certificates for all courses in this bundle at no extra cost. Equip yourself with the Data Analysis & Data Science Diploma bundle to confidently navigate your career path or personal development journey. Enrol today and start your career growth! This bundle comprises the following courses: CPD Quality Standards Courses: Big Data Analytics with PySpark Power BI and MongoDB Big Data Analytics with PySpark Tableau Desktop and MongoDB Building Big Data Pipelines with PySpark MongoDB and Bokeh Develop Big Data Pipelines with R & Sparklyr & Tableau Develop Big Data Pipelines with R, Sparklyr & Power BI Complete Python Machine Learning & Data Science Fundamentals Learning Outcome: Gain comprehensive insights into multiple fields. Foster critical thinking and problem-solving skills across various disciplines. Understand industry trends and best practices through the Data Analysis & Data Science Diploma Bundle. Develop practical skills applicable to real-world situations. Enhance personal and professional growth with the Data Analysis & Data Science Diploma. Build a strong knowledge base in your chosen course via the Data Analysis & Data Science Diploma. Benefit from the flexibility and convenience of online learning. With the Data Analysis & Data Science Diploma package, validate your learning with a CPD certificate. 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. Embrace the future of learning with the Big Data Analysis & Data Science Diploma, a rich anthology of 15 diverse courses. Each course in the Data Analysis & Data Science Diploma bundle is handpicked by our experts to ensure a wide spectrum of learning opportunities. ThisBig Data Analysis & Data Science Diploma bundle will take you on a unique and enriching educational journey. The bundle encapsulates our mission to provide quality, accessible education for all. Whether you are just starting your career, looking to switch industries, or hoping to enhance your professional skill set, the Big Data Analysis & Data Science Diploma bundle offers you the flexibility and convenience to learn at your own pace. Make the Data Analysis & Data Science Diploma package your trusted companion in your lifelong learning journey. CPD 25 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Big Data Analysis & Data Science Diploma bundle is perfect for: Lifelong learners looking to expand their knowledge and skills. Professionals seeking to enhance their career with CPD certification. Individuals wanting to explore new fields and disciplines. Anyone who values flexible, self-paced learning from the comfort of home. Career path Unleash your potential with the Big Data Analysis & Data Science Diploma bundle. Acquire versatile skills across multiple fields, foster problem-solving abilities, and stay ahead of industry trends. Ideal for those seeking career advancement, a new professional path, or personal growth. Embrace the journey with the Big Data Analysis & Data Science Diploma bundle package. Certificates Certificate Of Completion Digital certificate - Included Certificate Of Completion Hard copy certificate - Included You will get a complimentary Hard Copy Certificate.

Data Analysis In Excel is suitable for anyone aspiring to or already working in this field or simply want to learn deeper into data analysis. You will be able to add this qualification to your CV by downloading your certificate instantly without any cost. To make this course more accessible for you, we have designed it for both part-time and full-time students. This course is packed into the bite-size module for your convenience. You can study at your own pace or become accredited within hours! If you require support, our experienced tutors are always available to help you throughout the comprehensive syllabus of this course and answer all your queries through email. This Data Analysis In Excel aims to introduce Data Analysis in Excel 2016. You'll learn the best way to enter and organize data, sort and map data, perform calculations with simple functions, format the appearance of your data and cells, and build charts and PivotTables for data analysis. You will know how to validate data, search and remove invalid data. The course covers Lookup information using VLOOKUP, and INDEX-MATCH, data forecasting and cleansing, providing external and 3D references and inserting sparklings, so that you have a great foundation in the world's most popular spreadsheet programme. Finally, you will learn different features to visualise or analyse your data in the most convenient way, which allows you to take the right business decisions for your company Who is this Course for? Data Analysis In Excel is perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Data Analysis In Excel is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. CPD Certificate from Course Gate  At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path This course opens a new door for you to enter the relevant job market and also gives you the opportunity to acquire extensive knowledge along with required skills to become successful. You will be able to add our qualification to your CV/resume which will help you to stand out in the competitive job industry. Course Curriculum Modifying a Worksheet Insert, Delete, and Adjust Cells, Columns, and Rows 00:10:00 Search for and Replace Data 00:09:00 Use Proofing and Research Tools 00:07:00 Working with Lists Sort Data 00:10:00 Filter Data 00:10:00 Query Data with Database Functions 00:09:00 Outline and Subtotal Data 00:09:00 Analyzing Data Create and Modify Tables 00:15:00 Apply Intermediate Conditional Formatting 00:07:00 Apply Advanced Conditional Formatting 00:05:00 Visualizing Data with Charts Create Charts 00:13:00 Modify and Format Charts 00:12:00 Use Advanced Chart Features 00:12:00 Using PivotTables and PivotCharts Create a PivotTable 00:13:00 Analyze PivotTable Data 00:12:00 Present Data with PivotCharts 00:07:00 Filter Data by Using Timelines and Slicers 00:11:00 Working with Multiple Worksheets and Workbooks Use Links and External References 00:12:00 Use 3-D References 00:06:00 Consolidate Data 00:05:00 Using Lookup Functions and Formula Auditing Use Lookup Functions 00:12:00 Trace Cells 00:09:00 Watch and Evaluate Formulas 00:08:00 Automating Workbook Functionality Apply Data Validation 00:13:00 Search for Invalid Data and Formulas with Errors 00:04:00 Work with Macros 00:18:00 Creating Sparklines and Mapping Data Create Sparklines 00:07:00 MapData 00:07:00 Forecasting Data Determine Potential Outcomes Using Data Tables 00:08:00 Determine Potential Outcomes Using Scenarios 00:09:00 Use the Goal Seek Feature 00:04:00 Forecasting Data Trends 00:05:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00