1101 Data Analysis courses

Learn how to work with data using Python (the coding language) as a tool. Learn how data is structured and how to manipulate it into a usable, clean form ready for analysis. Work on a small real-life project from conception to solution, in a team or on your own.

Duration 3 Days 18 CPD hours This course is intended for This intermediate-level hands-on course is geared for experienced Administrators, Analysts, Architects, Data Scientists, Database Administrators and Implementers Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our Oracle Certified expert facilitator, students will learn how to: Administer ODI resources and setup security with ODI Apply ODI Topology concepts for data integration Describe ODI Model concepts Describe architecture of Oracle Data Integrator Design ODI Mappings, Procedures, Packages, and Load Plans to perform ELT data transformations Explore, audit data, and enforce data quality with ODI Implement Changed Data Capture with ODI Oracle Data Integrator is a comprehensive data integration platform that covers all data integration requirements from high-volume, high-performance batch loads, to event-driven integration processes and SOA-enabled data services. Oracle Data Integrator's Extract, Load, Transform (E-LT) architecture leverages disparate RDBMS engines to process and transform the data - the approach that optimizes performance, scalability and lowers overall solution costs. Throughout this course participants will explore how to centralize data across databases, performing integration, designing ODI Mappings, and setting up ODI security. In addition, Oracle Data Integrator can interact with the various tools of the Hadoop ecosystem, allowing administrators and data scientists to farm out map-reduce operations from established relational databases to Hadoop. They can also read back into the relational world the results of complex Big Data analysis for further processing. Working in a hands-on learning environment led by our Oracle Certified expert facilitator, students will learn how to: Administer ODI resources and setup security with ODI Apply ODI Topology concepts for data integration Describe ODI Model concepts Describe architecture of Oracle Data Integrator Design ODI Mappings, Procedures, Packages, and Load Plans to perform ELT data transformations Explore, audit data, and enforce data quality with ODI Implement Changed Data Capture with ODI Introduction to Integration and Administration Oracle Data Integrator: Introduction Oracle Data Integrator Repositories Administering ODI Repositories Create and connect to the Master Repository Export and import the Master Repository Create, connect, and set a password to the Work Repository ODI Topology Concepts ODI Topology: Overview Data Servers and Physical Schemas Defining Topology Agents in Topology Planning a Topology Describing the Physical and Logical Architecture Topology Navigator Creating Physical Architecture Creating Logical Architecture Setting Up a New ODI Project ODI Projects Using Folders Understanding Knowledge Modules Exporting and Importing Objects Using Markers Oracle Data Integrator Model Concepts Understanding the Relational Model Understanding Reverse-Engineering Creating Models Organizing ODI Models and Creating ODI Datastores Organizing Models Creating Datastores Constraints in ODI Creating Keys and References Creating Conditions Exploring Your Data Constructing Business Rules ODI Mapping Concepts ODI Mappings Expressions, Join, Filter, Lookup, Sets, and Others Behind the Rules Staging Area and Execution Location Understanding Knowledge Modules Mappings: Overview Designing Mappings Multiple Sources and Joins Filtering Data Overview of the Flow in ODI Mapping Selecting a Staging Area Configuring Expressions Execution Location Selecting a Knowledge Module Mappings: Monitoring and Troubleshooting Monitoring Mappings Working with Errors Designing Mappings: Advanced Topics 1 Working with Business Rules Using Variables Datasets and Sets Using Sequences Designing Mappings: Advanced Topics 2 Partitioning Configuring Reusable Mappings Using User Functions Substitution Methods Modifying Knowledge Modules Using ODI Procedures Procedures: Overview Creating a Blank Procedure Adding Commands Adding Options Running a Procedure Using ODI Packages Packages: Overview Executing a Package Review of Package Steps Model, Submodel, and Datastore Steps Variable Steps Controlling the Execution Path Step-by-Step Debugger Starting a Debug Session New Functions Menu Bar Icons Managing ODI Scenarios Scenarios Managing Scenarios Preparing for Deployment Using Load Plans What are load plans? Load plan editor Load plan step sequence Defining restart behavior Enforcing Data Quality with ODI Data Quality Business Rules for Data Quality Enforcing Data Quality with ODI Working with Changed Data Capture CDC with ODI CDC implementations with ODI CDC implementation techniques Journalizing Results of CDC Advanced ODI Administration Setting Up ODI Security Managing ODI Reports ODI Integration with Java

Are you looking to enter the dynamic world of real estate? Our course is designed to equip you with the knowledge and tools you need to communicate effectively with real estate professionals and develop key skills in real estate investment strategy and analytics. At the end of the course, you'll be able to read and interpret real estate market reports, and have a firm grasp of how iconic buildings, cities, and companies fit into the overall picture of the real estate sector. On this course, you will… Become familiar with the players, structure, general terminology and overall needs of Real Estate. Learn what is Real Estate and why it is different from other asset classes Get to grips with the overall size and structure of the UK Real Estate Market Learn and analyse the links between the different parts of the property market Understand who works in the Real Estate Market, their qualifications and their job descriptions Recognise how and when to use basic real estate concepts: Rent, Value, Yield, Risk and Return, etc… Learn how to read a real estate market report Understand how current affairs, politics and economics affects Real Estate Investment Use household names and iconic companies, cities and buildings to help consolidate your appreciation of this exciting sector Who will benefit from this course: Graduates or undergraduates studying economics, finance. Professionals working in Marketing or Accounting teams within Real Estate firms. APC students. Anyone interested in Real Estate. School leavers/A-Level Students looking to gain an understanding of Real Estate. Non cognate students who wish to transfer into Real Estate/Finance careers. Course Outline Module 1: What is and why buy Real Estate? The property Market The Size and Structure of the UK property market The impact of Real Estate in the Economy Module 2: The Real Estate Market System The Space Market The Asset Market The Development Market Module 3: How to value Real Estate An Introduction to Financial Mathematics The difference between Price, Value and Worth Property Yield Conventional Valuation Methods Module 4: How to read a Real Estate Market Report Property Market Indicators: Stock Indicators Property Market Indicators: Investment Indicators Module 5: Who works in Real Estate? The build Environment by Cobalt Recruitment Rea; Estate Agents Examples of Real Estate Market Agents CVs Real Estate Network

The Microsoft Access 2016 Beginner to Advanced course is a comprehensive training program covering all levels of proficiency. From creating simple databases to advanced querying, form creation, report generation, and database management, this course provides a deep understanding of Microsoft Access's features and functions. Learning Outcomes: Build and modify Access databases, tables, and fields. Create effective queries to sort, filter, and summarize data. Develop professional-looking reports with controls, charts, and calculations. Design forms with controls, tab pages, and conditional formatting. Automate tasks using macros and understand the basics of VBA. Manage database performance, security, and object dependencies. Create a database switchboard and modify startup options. Understand data normalization, table relationships, and import/export processes. Why buy this Microsoft Access 2016 Beginner to Advanced? Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Microsoft Access 2016 Beginner to Advanced you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? Beginners with no previous experience in Microsoft Access. Professionals seeking to enhance their database management and reporting skills. Individuals aiming to become proficient in creating and maintaining databases. Students pursuing careers in data analysis, administration, or database management. Prerequisites This Microsoft Access 2016 Beginner to Advanced 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. Career path Data Analyst: Analyze, interpret, and present data insights using Access. Database Administrator: Design, implement, and maintain databases for organizations. Administrative Assistant: Manage data, generate reports, and streamline processes. Project Manager: Organize project-related data and create performance reports. Business Owner: Build and manage databases to support business operations. Course Curriculum Module - 1 Orientation to Microsoft Access 01:00:00 Create a Simple Access Database 01:00:00 Get Help in Microsoft Access 00:30:00 Modify Table Data 00:30:00 Work with Records 01:00:00 Sort and Filter Records 00:30:00 Create Lookups 01:00:00 Join Data from Different Tables in a Query 01:00:00 Sort and Filter Data in a Query 01:00:00 Perform Calculations in a Query 00:30:00 Create Parameter Queries 00:30:00 Create Action Queries 00:30:00 Create Find Duplicate and Find Unmatched Queries 00:30:00 Summarize Data 00:30:00 Create a Report 01:00:00 Add Controls to a Report 00:30:00 Enhance the Appearance of a Report 00:30:00 Prepare a Report for Print 00:30:00 The Access Options Dialog Box 01:00:00 Relational Database Design 00:30:00 Create a Table 01:00:00 Modify a Table and Fields 00:30:00 Create Table Relationships 00:30:00 Create Query Joins 00:30:00 Join Tables That Have No Common Fields 00:30:00 Relate Data within a Table 00:30:00 Work with Subdatasheets 00:30:00 Create Subqueries 00:30:00 Data Normalization 01:00:00 Create a Junction Table 00:30:00 Import Data into Access 00:30:00 Export Data to Text File Formats 00:30:00 Export Access Data to Excel 00:30:00 Create a Mail Merge 00:30:00 Organize Report Information 00:30:00 Format Reports 00:30:00 Include Charts in a Report 00:30:00 Add a Calculated Field to a Report 00:30:00 Add a Subreport to an Existing Report 00:30:00 Create a Mailing Label Report 00:30:00 Publish a Report as PDF 00:30:00 Activities - Microsoft Access 2016 for Beginners 00:00:00 Module - 2 Add Controls to Forms 01:00:00 Set Form Controls 01:00:00 Create Subforms 00:30:00 Organize Information with Tab Pages 00:30:00 Enhance Navigation with Forms 00:30:00 Format a Form 01:00:00 Apply Conditional Formatting 00:30:00 Field Validation 00:30:00 Form and Record Validation 00:30:00 Create a Macro 01:00:00 Restrict Records Using a Condition 00:30:00 Validate Data Using a Macro 00:30:00 Automate Data Entry Using a Macro 00:30:00 Convert a Macro to VBA 00:30:00 Link Tables to External Data Sources 00:30:00 Manage a Database 00:30:00 Determine Object Dependency 00:30:00 Document a Database 00:30:00 Analyze the Performance of a Database 00:30:00 Split a Database for Multiple User Access 00:30:00 Implement Security 00:30:00 Set Passwords 00:30:00 Convert an Access Database to an ACCDE File 00:30:00 Package a Database with a Digital Signature 00:30:00 Create a Database Switchboard 01:00:00 Modify a Database Switchboard 00:30:00 Set Startup Options 00:30:00 Activities - Microsoft Access 2016 Advanced 00:00:00

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Getting Started The MBA in Educational Leadership and Management Top Up programme is a dynamic educational offering that aims to equip future educational leaders with essential skills. This programme places a strong emphasis on effective leadership, educational policy, and management within a variety of educational settings. Graduates from this programme emerge well-prepared to take on leadership roles within academic institutions and drive positive changes in the field of education. The MBA in Educational Leadership and Management is designed to empower educators and education professionals with advanced knowledge and skills in leadership and management. This programme presents an excellent opportunity for individuals with a relevant postgraduate diploma or an equivalent qualification to "top up" their credentials to earn a full MBA degree. Throughout this programme, students engage deeply with the intricacies of educational leadership and management, gaining valuable insights into the latest theories, practices, and strategies relevant to the educational sector. The curriculum strongly focuses on critical areas such as leadership theory, organisational management, policy development, and educational change management. The programme provides students with the tools needed to address the complex challenges that educational organisations face today, ultimately enhancing the quality of education. This MBA in Educational Leadership and Management enhances career prospects and actively contributes to improving educational systems. The programme comprises two phases; the first is the Qualifi Level 7 Diploma in Educational Management and Leadership, awarded by Qualifi and delivered by the School of Business and Technology London. The second phase is the MBA in Educational Leadership and Management Top Up, awarded and delivered 100% online by Anglia Ruskin University. At Anglia Ruskin University, you will study through Canvas, a world-class online Learning Management System (LMS), accessed from your phone, pc or tablet at home or on the move. Canvas provides instant access to study materials, forums, and support from tutors and classmates, as well as enabling easy submission of your assignments. After successfully completing your studies, you'll be invited to attend a graduation ceremony on campus at Anglia Ruskin University. If attending the ceremony in person is not possible, we'll arrange to send your certificate to you. School of Business and Technology London partners with Chestnut Education Group to promote this programme. About Awarding Body Anglia Ruskin University began in 1858 as the Cambridge School of Art founded by William Beaumont. It was then merged with the Cambridge shire College of Arts and Technology and the Essex Institute of Higher Education and was renamed Anglia Polytechnic. It was then given university status in 1992 and renamed Anglia Ruskin University in 2005. The university has campuses in the UK (Cambridge, Chelmsford, London and Peterborough), as well as they are partnered with institutions around the world including Berlin, Budapest, Trinidad, Singapore and Kuala Lumpur. Assessment Assignments and Project No examinations Entry Requirements A bachelor's degree Applicant without a bachelor's degree but holding significant relevant experience will be considered for entry on a case-by-case basis. A good command of English (IELTS 6.0 or equivalent). 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. Structure Phase -1 - Qualifi Level 7 Diploma in Educational Management and Leadership The QUALIFI Level 7 Diploma in Educational Management and Leadership is made up of 120 credits, which equates to hours 1200 of TQT. Learners must complete two mandatory units and choose four optional units to achieve a minimum of 120 credits. Mandatory Units Leadership Qualities and Practice in Education Unit Reference -T/618/3135 TQT : 200 Credit : 20 The unit will explore how team performance can be evaluated and optimised to realise strategic business and operational objectives. Contemporary Issues in Education: Theory, Policy and Practice Unit Reference - A/618/3136 TQT : 200 Credit : 20 This unit provides learners with an understanding of the link between educational research, policy and practice.   Optional Units Managing Change in an Educational Context Unit Reference - F/618/3137 TQT : 200 Credit : 20 This unit aims to develop learners' understanding of educational leadership and management in supporting change and developing leadership in their educational context. Pedagogy and Practice in Education Unit Reference - J/618/3138 TQT : 200 Credit : 20 This unit aims to develop learners' theoretical and practical grounding in approaches to teaching and learning related to subject academic knowledge and educational practices. Leading Reflective Practice in Education Unit Reference - L/618/3139 TQT : 200 Credit : 20 This unit aims to develop learners' understanding of reflective practice to apply this to their and other's roles in an educational context, leading to planning for personal development. Research Methods in Education Unit Reference - F/618/3140 TQT : 200 Credit : 20 This unit aims to develop research skills, including different approaches, proposal formulation, planning, data analysis, and exploring research's relationship with evidence-based practice. Postgraduate Study of Childhood, Education and Family Support Unit Reference - A/650/6687 TQT : 200 Credit : 20 The unit will offer a framework for each individual's evaluation of their academic and professional action plans for personal and professional learning. Research Methods for Childhood, Education and Family Support Unit Reference - D/650/6688 TQT : 200 Credit : 20 This unit aims to help learners identify and develop a focus on research and approaches to data analysis, such as phenomenological and hermeneutic approaches and descriptive statistics. Triangulating Theory and Practice Unit Reference - F/650/6689 TQT : 200 Credit : 20 This unit aims to assist educators in comprehending the theories that drive recommendations for best practices and calls for action in a challenging and quickly evolving professional context. Contemporary Issues in Education Unit Reference - K/650/6690 TQT : 200 Credit : 20  This unit aims to introduce learners to various emerging topics from many educational sectors.    Phase 2 - MBA in Educational Leadership and Management Top-Up Programme Structure Developing Effective Management Systems Dissertation (Major Project) Delivery Methods The programme comprises two phases; the first is the Qualifi Level 7 Diploma in Educational Management and Leadership, awarded by Qualifi and delivered by the School of Business and Technology London. The School of Business and Technology London offers flexible learning methods, including online and blended learning, allowing students to choose the mode of study that suits their preferences and schedules. The program is self-paced and facilitated through an advanced Learning Management System. Students can easily interact with tutors through the SBTL Support Desk Portal System for course material discussions, guidance, assistance, and assessment feedback on assignments. School of Business and Technology London provides exceptional support and infrastructure for online and blended learning. Students benefit from dedicated tutors who guide and support them throughout their learning journey, ensuring a high level of assistance. The second phase is the MBA in Educational Leadership and Management Top Up, awarded and delivered 100% online by Anglia Ruskin University. At Anglia Ruskin University, you will study through Canvas, a world-class online Learning Management System (LMS), accessed from your phone, pc or tablet at home or on the move. Canvas provides instant access to study materials, forums, and support from tutors and classmates, as well as enabling easy submission of your assignments. After successfully completing your studies, you'll be invited to attend a graduation ceremony on campus at Anglia Ruskin University. If attending the ceremony in person is not possible, we'll arrange to send your certificate to you. School of Business and Technology London partners with Chestnut Education Group to promote this programme. 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.

Highlights of the Course Course Type: Online Learning Duration: 2 Hours 36 Minutes Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about Microsoft Power BI Understand the core competencies and principles of Microsoft Power BI Explore the various areas of Microsoft Power BI Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert Power BI user Power BI - Analyze and Interactively Visualize Business Data Training Course Master the skills you need to propel your career forward in Microsoft Power BI. This course will equip you with the essential knowledge and skillset that will make you a confident Power BI user and take your career to the next level. This comprehensive Power BI - analyze and interactively visualize business data training course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this Power BI - analyze and interactively visualize business data training course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective Microsoft Power BI practice and equip you with the essential skills, confidence and competence to assist you in the Microsoft Power BI industry. You'll gain a solid understanding of the core competencies required to drive a successful career in Microsoft Power BI. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for Power BI user or for people who are aspiring to specialise in Microsoft Power BI. Enrol in this Power BI - analyze and interactively visualize business data training course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive Power BI - analyze and interactively visualize business data training course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this Microsoft Power BI can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This Power BI - analyze and interactively visualize business data training course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This Power BI - analyze and interactively visualize business data training course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This Power BI - analyze and interactively visualize business data training course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Introduction - What is Power BI? Introduction - What is Power BI. 00:08:00 Getting Started with Power BI Pro Getting Started with Power BI Pro 00:09:00 Working With Various Data Sources in Power BI Using Data from Excel Tables in Power BI 00:04:00 Using Data from Normalized Excel Spreadsheets in Power BI 00:09:00 Update Data in Power BI 00:04:00 Import Data from Websites into Power BI 00:02:00 Import Data from a PDF File into Power BI 00:03:00 Import Data from a CSV File into Power BI 00:04:00 Import Data from Access Databases into Power BI 00:07:00 Elaborate a Power BI Report to Enable Decision Making Elaborate a Power BI Report to Enable Decision Making 00:10:00 Improve a Power BI Report to Increase Informative Value 00:08:00 Optimize Power BI Reports to Improve Readability Edit Field Properties in Power BI to Improve Readability 00:04:00 Format Axes to Make Data Comparable 00:04:00 Visualize Benchmarks with Reference Lines 00:02:00 Add Annotations Using Text Boxes 00:03:00 Create YoY Comparisons Conveniently 00:03:00 Visualize Data on Maps to Valorize Reports 00:06:00 Enrich Visualisations with Radial Gauges - Speedometer and Thermometer 00:06:00 Enrich Visualisations with Conditional Formatting 00:03:00 Perform Advanced Data Analysis by Using Filters and Slicers 00:07:00 If Default Visualizations are not Enough: Add Custom Visuals 00:04:00 Customize the Design of a Report 00:03:00 Save Key Findings in Easy-to-Access Bookmarks 00:03:00 Optimize Reports for Mobile Devices 00:01:00 Access from Anywhere with Power BI 00:04:00 Working With Data - Advanced Techniques Improve Datasets by Extracting Data from Fields and Adding Fields 00:07:00 Create Calculated Columns if the Data Source is Insufficient 00:08:00 Take Advantage of Predefined Calculations Using Quick Measures 00:06:00 Create Virtual Columns Using Measures 00:03:00 Power BI Service - The Online Version of Power BI Power BI Service - First Steps 00:06:00 Share Power BI Reports for Collaboration 00:06:00 Provide Power BI Reports in Microsoft Teams 00:02:00 Publish Power BI Reports Manage Roles and Assign Users 00:09:00 From Complex Reports to Clear Dashboards 00:09:00 Set Up Alerts for Target Values 00:12:00 Commenting on Reports and Dashboards 00:04:00 Use Data Gateways to Access Local Data Safely 00:02:00 Optimizing Power BI with Advanced Settings 00:08:00 Appendix: The Various Power BI Components and How to Install Power BI Installing Power BI Pro 00:08:00 Activate the Power BI Service 00:01:00 Final Remarks Final Remarks 00:01:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Explore the world of Remote Sensing Technology with our comprehensive course on applications and analysis. Gain insights into the electromagnetic spectrum, platforms, and sensors, and master image interpretation and data analysis techniques. Discover real-world applications in the UK and unlock future trends shaping this dynamic field. Elevate your skills in environmental monitoring, GIS, and cutting-edge technology. Join us on a journey through the skies and harness the power of Remote Sensing for diverse scientific and industrial applications. Enroll now for a transformative learning experience!

CRM: Customer Relationship Management Would you want to learn about various methods for choosing tools and the best ways to keep customers? Our in-depth CRM (Customer Relationship Management) will assist you in expanding your knowledge about the CRM sector. Our CRM (Customer Relationship Management) provides an introduction to Customer Relationship Management (CRM) along with its all functions. Also, the CRM (Customer Relationship Management) explains CRM strategies, and data analysis in CRM and CRM Databases. Moreover, this CRM (Customer Relationship Management) includes difficulties handling processes. Additionally, the CRM (Customer Relationship Management) explain how to deepen the customer relationship and the future of CRM. Enhance your organisational efficiency and maximise business growth through our effective CRM (Customer Relationship Management) practices! Learning Outcome of CRM (Customer Relationship Management) This CRM (Customer Relationship Management) will teach you about: Introduction to CRM (Customer Relationship Management). The CRM (Customer Relationship Management) explains CRM fundamentals. CRM (Customer Relationship Management) also includes CRM strategies. Data analysis in CRM and collecting CRM databases are parts of this CRM (Customer Relationship Management). Through the CRM (Customer Relationship Management), you will learn about deepening customer relationships. Handling customer complaints and the future of CRM is elaborately explained in this CRM (Customer Relationship Management). Special Offers of this CRM: Customer Relationship Management Course This CRM: Customer Relationship Management Course includes a FREE PDF Certificate. Lifetime access to this CRM: Customer Relationship Management Course Instant access to this CRM: Customer Relationship Management Course Get FREE Tutor Support to this CRM: Customer Relationship Management Course CRM: Customer Relationship Management Unlock the full potential of your customer interactions with our CRM: Customer Relationship Management course, offering a comprehensive introduction to CRM strategies and functionalities. This CRM: Customer Relationship Management course guides you through the essentials of CRM, from data analysis to managing CRM databases. Learn how to navigate challenges and streamline processes through the CRM: Customer Relationship Management framework. Moreover, the CRM: Customer Relationship Management course teaches you to deepen customer relationships and explore the future of CRM. Elevate your business and master the art of customer loyalty with our expert-led CRM: Customer Relationship Management program. Who is this course for? CRM: Customer Relationship Management This CRM (Customer Relationship Management) is intended for individuals who wish to enhance their company chances and cultivate solid client connections. Requirements CRM: Customer Relationship Management To enrol in this CRM: Customer Relationship Management Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our CRM: Customer Relationship Management Course. Be energetic and self-motivated to complete our CRM: Customer Relationship Management Course. Basic computer Skill is required to complete our CRM: Customer Relationship Management Course. If you want to enrol in our CRM: Customer Relationship Management Course, you must be at least 15 years old. Career path CRM: Customer Relationship Management You may work as a manager, customer service manager, CRM analyst, and many other roles after finishing this CRM (Customer Relationship Management)!

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced attendees who wish to learn and use basic machine learning algorithms and concepts. Students should have skills at least equivalent to the Python for Data Science courses we offer. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to Understand the main concepts and principles of predictive analytics Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects Explore advanced predictive modeling algorithms w with an emphasis on theory with intuitive explanations Learn to deploy a predictive model's results as an interactive application Learn about the stages involved in producing complete predictive analytics solutions Understand how to define a problem, propose a solution, and prepare a dataset Use visualizations to explore relationships and gain insights into the dataset Learn to build regression and classification models using scikit-learn Use Keras to build powerful neural network models that produce accurate predictions Learn to serve a model's predictions as a web application Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This course provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. Hands-on Predictive Analytics with Python is a three-day, hands-on course that guides students through a step-by-step approach to defining problems and identifying relevant data. Students will learn how to perform data preparation, explore and visualize relationships, as well as build models, tune, evaluate, and deploy models. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seabor, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. The Predictive Analytics Process Technical requirements What is predictive analytics? Reviewing important concepts of predictive analytics The predictive analytics process A quick tour of Python's data science stack Problem Understanding and Data Preparation Technical requirements Understanding the business problem and proposing a solution Practical project ? diamond prices Practical project ? credit card default Dataset Understanding ? Exploratory Data Analysis Technical requirements What is EDA? Univariate EDA Bivariate EDA Introduction to graphical multivariate EDA Predicting Numerical Values with Machine Learning Technical requirements Introduction to ML Practical considerations before modeling MLR Lasso regression KNN Training versus testing error Predicting Categories with Machine Learning Technical requirements Classification tasks Credit card default dataset Logistic regression Classification trees Random forests Training versus testing error Multiclass classification Naive Bayes classifiers Introducing Neural Nets for Predictive Analytics Technical requirements Introducing neural network models Introducing TensorFlow and Keras Regressing with neural networks Classification with neural networks The dark art of training neural networks Model Evaluation Technical requirements Evaluation of regression models Evaluation for classification models The k-fold cross-validation Model Tuning and Improving Performance Technical requirements Hyperparameter tuning Improving performance Implementing a Model with Dash Technical requirements Model communication and/or deployment phase Introducing Dash Implementing a predictive model as a web application Additional course details: Nexus Humans Hands-on Predicitive Analytics with Python (TTPS4879) 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 Hands-on Predicitive Analytics with Python (TTPS4879) 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.