663 Business Analytics & Intelligence courses delivered Online

Data Analysis: Data Analysis Course Would you like to acquire the skills and self-assurance necessary to make wise choices and successfully traverse the intricate and ever-changing realm of data analysis? Enrol in our Data Analysis Course. The fundamentals of data, statistics, and an introduction to data analysis are all covered in this data analysis course. The how-to of data collection and its sources are explained in the Data Analysis Course. This Data Analysis Course teaches preprocessing, data cleansing, and exploratory data analysis (EDA). An overview of Excel and Python for data analysis is explained in this Data Analysis Course. This extensive Data Analysis course includes lessons on data wrangling with Pandas (Python) and data visualisation using Matplotlib and Seaborn (Python). So, quickly join our Data Analysis Course to learn the fundamentals of machine learning and statistical analysis! Special Offers with free gifts for this Data Analysis: Data Analysis Course This Data Analysis Course course includes a FREE PDF Certificate. Lifetime access to this Data Analysis Course course Instant access to this Data Analysis Course course Get FREE Tutor Support to this Data Analysis Course Course Learning Outcome of Data Analysis Course This Data Analysis Course will help you learn about: Introduction to data analysis, basics of data, and statistics. Data Analysis Course explains how to collect data and its sources. Data cleaning, processing, and exploratory data analysis (EDA) are included in this Data Analysis Course. This Data Analysis Course describes an introduction to Excel for Data Analysis and Python for Data Analysis. Data Wrangling with Pandas (Python) and Data Visualisation with Matplotlib and Seaborn (Python) are parts of this comprehensive Data Analysis Course. With the help of this Data Analysis Course, you will learn the basics of statistical analysis and machine learning. Data Analysis: Data Analysis Course Embark on a transformative journey with our Data Analysis course, designed for beginners. Dive deep into the world of data analysis, mastering essential techniques and tools. Gain practical skills in Data Analysis, empowering you to unlock insights and drive informed decisions. Start your Data Analysis journey today! Who is this course for? Data Analysis: Data Analysis Course Anyone looking to have a thorough grasp of data analysis in a commercial setting should take this Data Analysis: Data Analysis Course. Requirements Data Analysis: Data Analysis Course To enrol in this Data Analysis: Data Analysis Course, students must fulfil the following requirements. To join in our Data Analysis: Data Analysis Course, you must have a strong command of the English language. To successfully complete our Data Analysis: Data Analysis Course, you must be vivacious and self driven. To complete our Data Analysis: Data Analysis Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Data Analysis: Data Analysis Course. Career path Data Analysis: Data Analysis Course With the assistance of this Data Analysis Course, you can obtain work as a data analyst, business analyst, marketing analyst, or in related fields.

Duration 1 Days 6 CPD hours This course is intended for Multi-role (consumers, business authors, professional authors, developers, administrators, modelers, project managers) This course provides students with an overview of the IBM Cognos Analytics suite of products and their underlying architecture. Students will examine each component as it relates to an Analytics solution & will be shown a range of resources. IBM Cognos Analytics Describe IBM Cognos Analytics Describe IBM Cognos Analytics components Describe IBM Cognos architecture at a high level Describe IBM Cognos security at a high level Consume Content in IBM Cognos Analytics Where do consumers access BI content? Use published reports Drill through to related data Specify run report options Specify properties of an entry Alerts and Watch Items Create Reports in IBM Cognos Analytics Overview of reporting and report authoring Identify package types, uploaded files, and data modules available for reporting Examine IBM Cognos Analytics - Reporting Examine the interface Explore different report types Create a simple, sorted, and formatted report Create a report view Create a subscription Create an Active Report Import and report on personal data Create Dashboards in IBM Cognos Analytics Describe IBM Cognos Dashboarding Identify the IBM Cognos Dashboarding user interface Add report content and tools to create dashboards Widget-to-widget communication Filter data in the dashboard Sort, group and ungroup, and calculate data Create Metadata Models in IBM Cognos Analytics Define IBM Cognos Framework Manager and its purpose Describe the IBM Cognos Framework Manager environment Describe IBM Cognos Cube Designer Get high-level content from Dynamic Cubes course and/or FM course Web-based Modeling Create Data Modules Extend IBM Cognos Analytics Introduction to IBM Cognos Mobile Key features Examine Cognos Mobile architecture Identify supported products Introduction to IBM Cognos BI for Microsoft Office Describe Cognos Analysis for Excel (CAF) Compare IBM Cognos Analytics & IBM Cognos BI New features in IBM Cognos Analytics Changes from IBM Cognos BI to IBM Cognos Analytics Legacy option Examine Event Studio Examine the role of Event Studio in Performance Management List the benefits of Event Studio Examine Metric Studio Identify scorecards, metrics, and metric types Organize metrics with strategies Track initiatives with projects

Imagine a world where the vast realms of IT and analytics seem intricate, and the data emanating from every corner feels overwhelming. Now, reimagine a world where you have the power to interpret, analyse, and make that data sing a tune of actionable insights. Welcome to our "IT and Analytics" bundle, where complexity turns into simplicity. Dive deep into the myriad elements of IT and analytics, encompassing everything from the basics of Google Analytics and Excel Pivot Tables to the advanced nuances of Windows 10 troubleshooting. This comprehensive bundle caters to both beginners and seasoned professionals, offering in-depth theoretical knowledge that is instrumental in the real world. By immersing yourself in these carefully curated courses, you are setting the foundation for deciphering data, understanding IT basics, and recruiting the right IT talent. The purpose of this bundle is clear: to mould learners into well-rounded professionals with a keen sense for IT and analytics. Whether you're looking to streamline business processes, bolster your IT department, or simply understand the data-centric world around you, this is your golden ticket. Take the leap and embrace the future of IT and analytics today! Courses Included: Course 1: Google Analytics for Everyone Course 2: RCA: Root Cause Analysis Course 3: SQL for Data Science, Data Analytics and Data Visualization Course 4: Introduction to Data Analytics with Tableau Course 5: Excel Pivot Tables Course 6: CompTIA IT Fundamentals ITF+ (FCO-U61) Course 7: Recruitment: IT Basics for IT Recruiters Course 8: Advance Windows 10 Troubleshooting for IT HelpDesk Learning Outcomes: Understand the fundamentals and advanced features of popular IT and analytics platforms. Gain theoretical insights into root cause analysis and its applications. Enhance decision-making abilities through data visualisation techniques. Grasp the essence of IT recruitment and selection of appropriate candidates. Master troubleshooting methods and strategies for Windows 10. Build foundational knowledge in IT essentials through the CompTIA IT Fundamentals ITF+ curriculum. Google Analytics for Everyone Decode user behaviour and make informed decisions with Google Analytics. RCA: Root Cause Analysis Uncover the underlying reasons behind complex issues through structured analysis. SQL for Data Science, Data Analytics and Data Visualization Harness the power of SQL for effective data science and visualization. Introduction to Data Analytics with Tableau Dive into data storytelling and visualisation with Tableau. Excel Pivot Tables Master Excel's Pivot Tables for dynamic data analysis. CompTIA IT Fundamentals ITF+ (FCO-U61) Establish a solid IT foundation with CompTIA IT Fundamentals. Recruitment: IT Basics for IT Recruiters Learn the essentials of IT recruitment and talent selection. Advance Windows 10 Troubleshooting for IT HelpDesk Elevate your troubleshooting skills for Windows 10 environments. CPD 80 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring data analysts keen on mastering theoretical aspects of IT and analytics. IT enthusiasts looking to enhance their knowledge base. Business professionals aiming to understand IT-related decisions better. HR and recruitment professionals with a focus on IT hiring. Anyone with a passion for data interpretation and the world of IT. Career path Data Analyst - £30K to £50K/year. IT Support Specialist - £25K to £45K/year. IT Recruiter - £28K to £55K/year. Database Administrator - £35K to £60K/year. Business Intelligence Analyst - £32K to £58K/year. IT Consultant - £40K to £70K/year. Systems Administrator - £30K to £55K/year. 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

Dive into the comprehensive world of Entity Framework Core with this detailed course, designed to equip you with the skills to efficiently use EF Core in .NET applications.

Getting Started The primary objective of this Diploma in Information Technology (IT) is to enhance learners' capacity to effectively address intricate applied computing challenges within the realm of information technology. Certainly, here are the key points summarizing the learning outcomes: Develop project management skills in IT. Explore the societal impact of information technology. Acquire the capability to design, plan, and organize technology-oriented projects. Demonstrate the ability to deliver projects on schedule, meeting high-quality standards, and adhering to budget constraints. Key Benefits Gain an understanding of the descriptions of internet protocols associated with each layer of the networking stack. Demonstrate the capability to evaluate the suitability of big data technologies for various usage scenarios. Demonstrate the ability to execute database operations using MySQL. Demonstrate the capability to assess how organizations construct, oversee, and sustain Management Information Systems (MIS). Acquire an understanding of the ethical dilemmas associated with artificial intelligence (AI) and robotics. Key Highlights Are you a practicing IT Professional seeking a greater knowledge and understanding of the industry, and to support your development into senior positions? Then, Qualifi Level 7 Diploma in IT is the ideal starting point for your career journey. The course will forge a career and help individuals prepare professional staff and managers of the future in the health and social care sector. Remember! The assessment for the qualification is done based on assignments only, and you do not need to worry about writing any exams. With the School of Business and Technology London, you can complete the qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials, as well as study guides developed by our Qualifi-approved tutors, will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide you with comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways Upon completion of the Level 7 Diploma in IT, graduates may pursue various career paths in education and training, such as: Cybersecurity Analyst; with an estimated average salary of £49,061 per annum Network Security Specialist; with an estimated average salary ranging from £45,000 to £80,000 per annum Data Privacy Consultant; with an estimated average salary of £60,000 per annum Network Engineer; with an estimated average salary of £48,279 per annum About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Assignment based Assessment No exam Entry Requirements To be eligible for this Level 7 Qualification, applicants must meet one of the following entry criteria: Possess a Bachelor's degree in IT. Hold a Level 6 qualification in a relevant discipline. Demonstrate 3 to 4 years of work experience in a related field. Additionally, applicants must be aged 20 years or older. Progression Upon successful completion of the QUALIFI Level 7 Diploma in IT, learners will have the opportunity to advance in the following ways: Pursue a Master's degree in the pertinent discipline. Enter directly into employment within a related professional field.   Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- Computer Networks Reference No : A/650/5650 Credit : 20 || TQT : 200 The primary goal of this unit is to enhance learners' comprehension of materials and networking technologies within the IT profession. UNIT2- Data Analytics Reference No : D/650/5651 Credit : 20 || TQT : 200 The primary objective of this unit is to cultivate advanced data analytics skills in learners. It also strives to empower learners to effectively utilize analytical tools and techniques in employment settings, enabling them to identify, elucidate, and leverage meaningful data patterns for a competitive advantage. UNIT3- Database Management Systems Reference No : F/650/5652 Credit : 20 || TQT : 200 The module's goal is to establish a solid groundwork in relational database management systems and offer practical, hands-on experience in using SQL for applications in data science and business analytics. UNIT4- Management Information Systems Reference No : H/650/5653 Credit : 20 || TQT : 200 The module's purpose is to facilitate learners in comprehending the importance and relevance of process-oriented Management Information Systems (MIS) in the context of the 21st century. UNIT5- Computers and Society Reference No : J/650/5654 Credit : 20 || TQT : 200 This unit evaluates the social, ethical, legal, and professional implications of computer technology. It also focuses on devising strategies to mitigate these issues and cultivate ethical behavior in the use of technology. UNIT6- Computing Projects Reference No : K/650/5655 Credit : 20 || TQT : 200 The primary objective of this unit is to enhance learners' comprehension of the reasons and methods businesses employ to develop e-commerce as an application of management strategies. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Duration 4 Days 24 CPD hours This course is intended for This basic course is for business data analysts who want to profile and assess data using Information Analyzer, also data quality analysts who need to measure data quality. Overview Analyze data structures to determine agreement with documented metadataDiscover data anomaliesIdentify invalid and incomplete data valuesDetermine potential primary keys to table structuresAdd business meaning to dataProduce deliverables that can be used by business users and ETL developersConfigure Information AnalyzerAdminister the Information Analyzer environmentUnderstand security considerations around data analysisUnderstand the methodology supporting data analysisUse Information Analyzer to analyze data content and structureUse Information Analyzer to construct data rules and utilize IBM-supplied data rule templates In this course, you will learn how to use the IBM InfoSphere suite to analyze data and report results to business users. Course Outline Information Analysis concepts Information Server overview Information Analyzer overview Information Analyzer Setup Column analysis Concepts Basic data profiling techniques in practice Data profiling techniques Primary key analysis Concepts Basic data profiling techniques in practice Foreign key and cross domain analysis Concepts Basic data profiling techniques in practice Baseline analysis Reporting and publishing Extending the meta data using Information Governance Catalog and Information Analyzer Data Rules and Metrics Additional course details: Nexus Humans KM803 IBM Information Analyzer Essentials v11.5 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 KM803 IBM Information Analyzer Essentials v11.5 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 comprehensive course on Clinical Data Analysis with SAS will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Clinical Data Analysis with SAS 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 Clinical Data Analysis with SAS. It is available to all students, of all academic backgrounds. Requirements Our Clinical Data Analysis with SAS 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 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 5 sections • 30 lectures • 01:54:00 total length •Course Promo: 00:01:00 •1.1 Components of the Pharma Industry: 00:05:00 •1.2 Phases of Clinical Trials: 00:06:00 •1.3 Data and Reports in Clinical Trials: 00:04:00 •1.4 Types of Data: 00:05:00 •2.1 Clinical Study Protocol: 00:02:00 •2.2 Ethical Consent: 00:01:00 •2.3 Inclusion-Exclusion Criteria: 00:01:00 •2.4 Statistical Analysis Plan: SAP, Mockshell and CRF: 00:04:00 •3.1 General SAS Programming Steps: 00:02:00 •3.2 One Search Report: Demographics Table: 00:04:00 •3.3 Understanding the Demographics Table: 00:03:00 •3.4 Programming the Demographics Table: 00:05:00 •3.5 Importing Raw Demographic Data into the SAS: 00:04:00 •3.6 Deciding what Procedure to Use: 00:02:00 •3.7 Deriving the AGE variable: 00:10:00 •3.8 Obtaining Summary Statistics for AGE: 00:04:00 •3.9 Adding the 3rd Treatment Group using Explicit Output: 00:05:00 •3.10 Deriving the SEX variable: 00:03:00 •3.11 Obtaining Summary Statistics for SEX: 00:03:00 •3.12 Concatenating the COUNT and PERCENT Variables: 00:03:00 •3.13 Deriving the RACE Variable: 00:03:00 •3.14 Obtaining Summary Statistics for RACE: 00:03:00 •3.15 Stacking All the 3 Summary Statistics Together: 00:06:00 •3.16 Fixing the Precision Points: 00:04:00 •3.17 Transposing Data: 00:03:00 •3.18 Fixing the Order of Statistical Parameters: 00:05:00 •3.19 Building the Final Report: 00:02:00 •3.20 Putting the Final Touches to the Report: 00:11:00 •Resources - Clinical Data Analysis with SAS: 00:00:00

The aim of this course is to provide learners with a comprehensive understanding of variable costing analysis and its applications in managerial accounting. The course will equip you with the necessary knowledge and skills to perform variable costing analysis and make informed decisions about pricing, product mix, and production volume.After the successful completion of the course, you will be able to learn about the following, Analysis of units manufactured. Analysis of variable and absorption costing. Contribution margin analysis. This course is designed to provide learners with a comprehensive understanding of variable costing analysis and its applications in managerial accounting. The course covers key topics such as variable and fixed costs, direct and indirect costs, contribution margin, and absorption costing. You will learn how to calculate and analyze variable and fixed costs, determine contribution margins, and use this information to make informed decisions about pricing, product mix, and production volume. This course is designed to provide learners with a thorough understanding of the principles and applications of variable costing in managerial accounting. The course will cover topics such as variable and fixed costs, direct and indirect costs, contribution margins, and absorption costing. Students will learn how to calculate and analyze variable and fixed costs, determine contribution margins, and use this information to make informed decisions about pricing, product mix, and production volume. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Understanding Variable Costing Analysis Self-paced pre-recorded learning content on this topic. Understanding Variable Costing Analysis Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. CEO, Director, Manager, Supervisor Financial Analyst Business Manager Operations Manager Management Accountant Financial Controller Cost Accountant Strategic Planner Chief Financial Officer (CFO) Budget Analyst Sales Manager. Investment Advisor Financial Planner Wealth Management Specialist Mutual Fund Manager Investment Analyst Portfolio Manager Financial Consultant Retirement Planning Specialist Investment Operations Specialist Securities Trader Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

Duration 2 Days 12 CPD hours This course is intended for New users of IBM SPSS Statistics Users who want to refresh their knowledge about IBM SPSS Statistics Anyone who is considering purchasing IBM SPSS Statistics Overview Introduction to IBM SPSS Statistics Review basic concepts in IBM SPSS Statistics Identify the steps in the research process Review basic analyses Use Help Reading data and defining metadata Overview of data sources Read from text files Read data from Microsoft Excel Read data from databases Define variable properties Selecting cases for analyses Select cases for analyses Run analyses for groups Apply report authoring styles Transforming variables Compute variables Recode values of categorical and scale variables Create a numeric variable from a string variable Using functions to transform variables Use statistical functions Use logical functions Use missing value functions Use conversion functions Use system variables Use the Date and Time Wizard Setting the unit of analysis Remove duplicate cases Create aggregate datasets Restructure datasets Merging data files Add cases from one dataset to another Add variables from one dataset to another Enrich a dataset with aggregated information Summarizing individual variables Define levels of measurement Summarizing categorical variables Summarizing scale variables Describing the relationship between variables Choose the appropriate procedure Summarize the relationship between categorical variables Summarize the relationship between a scale and a categorical variable Creating presentation ready tables with Custom Tables Identify table layouts Create tables for variables with shared categories Create tables for multiple response questions Customizing pivot tables Perform Automated Output Modification Customize pivot tables Use table templates Export pivot tables to other applications Working with syntax Use syntax to automate analyses Create, edit, and run syntax Shortcuts in the Syntax Editor Controlling the IBM SPSS Statistics environment Set options for output Set options for variables display Set options for default working folders This course guides students through the fundamentals of using IBM SPSS Statistics for typical data analysis. Students will learn the basics of reading data, data definition, data modification, data analysis, and presentation of analytical results. In addition to the fundamentals, students will learn shortcuts that will help them save time. This course uses the IBM SPSS Statistics Base; one section presents an add-on module, IBM SPSS Custom Tables. Introduction to IBM SPSS Statistics Review basic concepts in IBM SPSS Statistics Identify the steps in the research process Review basic analyses Use Help Reading data and defining metadata Overview of data sources Read from text files Read data from Microsoft Excel Read data from databases Define variable properties Selecting cases for analyses Select cases for analyses Run analyses for groups Apply report authoring styles Transforming variables Compute variables Recode values of categorical and scale variables Create a numeric variable from a string variable Using functions to transform variables Use statistical functions Use logical functions Use missing value functions Use conversion functions Use system variables Use the Date and Time Wizard Setting the unit of analysis Remove duplicate cases Create aggregate datasets Restructure datasets Merging data files Add cases from one dataset to another Add variables from one dataset to another Enrich a dataset with aggregated information Summarizing individual variables Define levels of measurement Summarizing categorical variables Summarizing scale variables Describing the relationship between variables Choose the appropriate procedure Summarize the relationship between categorical variables Summarize the relationship between a scale and a categorical variable Creating presentation ready tables with Custom Tables Identify table layouts Create tables for variables with shared categories Create tables for multiple response questions Customizing pivot tables Perform Automated Output Modification Customize pivot tables Use table templates Export pivot tables to other applications Working with syntax Use syntax to automate analyses Create, edit, and run syntax Shortcuts in the Syntax Editor Controlling the IBM SPSS Statistics environment Set options for output Set options for variables display Set options for default working folders Additional course details: Nexus Humans 0G53BG IBM SPSS Statistics Essentials (V26) 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 0G53BG IBM SPSS Statistics Essentials (V26) 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.

Are you ready to embark on an enlightening journey of wisdom with the Web Analytics 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 - Web Analytics Training. Delve into eight immersive CPD Accredited courses, each a standalone course: Course 01: Google Analytics for Everyone Course 02: Diploma in Data Analytics with Tableau Course 03: HTML Web Development Crash Course Course 04: Learn MySQL from Scratch for Data Science and Analytics Course 05: Big Data Analytics with PySpark Power BI and MongoDB Course 06: Big Data Analytics with PySpark Tableau Desktop and MongoDB Course 07: Learn Financial Analytics and Statistical Tools Course 08: Customer Analytics Training Traverse the vast landscapes of theory, unlocking new dimensions of understanding at every turn. Let the Web Analytics Training bundle illuminate your path to wisdom. The Web Analytics Training 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 Web Analytics Training 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 Web Analytics 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 Web Analytics Training community today and let your voyage of discovery begin! Learning Outcomes: Attain a holistic understanding in the designated areas of study with the Web Analytics bundle. Establish robust bases across each course nestled within the Web Analytics bundle. Decipher intricate concepts through the articulate content of the Web Analytics 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 Web 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 Web Analytics 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 Web Analytics bundle fosters personal growth, enabling learners to skillfully navigate the complexities of the world. The Web Analytics 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 Web Analytics bundle allows learners to make meaningful contributions to their chosen fields. Embark on the Web Analytics 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. Career path Armed with the Web 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 Web Analytics 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 Hard copy Transcript - £9.99