150 Data Mining courses

Duration 3 Days 18 CPD hours This course is intended for This course is intended for beginner to intermediate business and requirements analysts who are looking to improve their elicitation and requirements writing and documentation skills. This course is also a great fit for technical writers, product and software testers, project managers, product owners who work closely with business analysts or who perform some for of business analysis themselves. Overview Understand the role of the business analyst and core competencies for performing successfully Discuss the criticality of business analysis and requirements for successful project outcomes Understand the main professional associations and standards supporting business analysts in the industry Discuss the common problems with requirements and explore approaches to address these issues Obtain a clear understanding of the various requirements types and the significance for eliciting each type Demonstrate your ability to identify stakeholders Explore various methods for understanding and analyzing stakeholders Discuss and apply good planning practices to requirements elicitation efforts Obtain knowledge and understanding of over 15 current and commonly applied elicitation techniques Understand how to progress from elicitation to analysis to documentation Write well-formed and validated requirements Gain understanding of the best practices for writing quality requirements Learn the technical writing techniques that apply directly to writing requirements documents Discuss writing pitfalls, risks that impact requirements, and how to address them Learn best practices for communicating and collaborating with stakeholders, sharing the results of elicitation and the resulting documentation Learn approaches for validating requirements Understand the difference between validating requirements and validating the solution With elicitation serving as a major component of the requirements process, it is imperative that business analysts maintain high competency levels in elicitation practices and technique use to help organizations overcome the requirements related challenges faced on projects. Regardless whether you are a practitioner just starting off your career in business analysis or whether you have been performing the role for some years, this course will provide insight into the latest thoughts on elicitation and writing effective requirements and present a number of current techniques that are being applied on projects across industries today. Review of Foundational Concepts Definition of a business analysis Definition of business analyst BA role vs. PM role Business analysis competencies Benefits of business analysis Purpose for having a BA standard IIBA?s BABOK© Guide and PMI?s Practice Guide in Business Analysis Business analysis core concepts Discussion: Project challenges Understanding Requirements Common problems with requirements Understand the problem first Define the business need Situation statements and moving to requirements Understanding requirement types Business requirements Stakeholder/User Requirements Solution Requirements Functional Requirements Non-Functional Requirements Assumptions and Constraints Discussions: Requirement problems, business needs, and identifying non-functional requirements Discovering Stakeholders Definition of a stakeholder Stakeholder types Identifying stakeholders Performing stakeholder analysis Stakeholders and requirements Tips for identifying stakeholders Grouping stakeholders Creating a RACI model Tips for analyzing stakeholders Documenting results of stakeholder analysis Workshop: Discovering stakeholders Preparing for Requirements Elicitation Planning for elicitation Benefits of elicitation planning What do you plan? The elicitation plan Setting objectives for elicitation Determining the scope for elicitation Establishing pre-work Determining the outputs for the session The iterative nature of elicitation Elicitation roles Elicitation planning techniques Discussions: Who to involve in elicitation, planning impacts, and unplanned elicitation Workshop: Planning for elicitation Conduct Requirements Elicitation Elicitation skillset Types of elicitation techniques Using active listening in elicitation Techniques for performing elicitation Benchmarking/Market Analysis Brainstorming Business Rules Analysis Collaborative Games Concept Modeling Data Mining Data Modeling Document Analysis Focus Groups Interface Analysis Interviews Observation Process Modeling Prototyping Survey or Questionnaire Workshops Write Effective Requirements Elicitation and Analysis Requirements related issues Implications of bad requirements Elicitation and documentation Writing skillset Documenting requirements Modeling requirements Defining the project life cycle Impact of project life cycle on documentation Requirements specifications Characteristics of good requirements Guidelines for writing textual requirements Structuring a requirement Writing pitfalls Traceability Requirements attributes Risks associated to requirements Discussions: Project Life Cycle and Correcting Poorly Written Requirements Workshops: Documenting Requirements and Identify Characteristics of Good Requirements Confirm and Communicate Elicitation Requirements Business analysis communication Requirements communication Communication skills The 7 Cs Timing of communication Planning communication Importance of Collaboration Planning collaboration Documenting communication/collaboration needs Confirming elicitation results Verify requirements Characteristics of good requirements (revisited) Requirements checklist Requirements validation Signing off on requirements Discussions: Responsibility for Communication, Eliciting Communication Needs, Validation Signoff Workshops: Communicating Requirements and Obtaining Signoff Evaluate the Solution Business analyst role in solution evaluation Why solutions under perform What we are looking for in solution evaluation When does solution evaluation occur Performing solution evaluation Planning solution evaluation Metrics that might exist Evaluating long term performance Qualitative vs. quantitative measures Tools & techniques used in solution evaluation Comparing expected to actuals When solution evaluation discovers a variance Tools/techniques for analyzing variances Proposing a recommendation Communicating results of solution evaluation Discussion: Addressing Variance Wrap up and Next Steps Useful books and links on writing effective requirements BABOK© Guide Business Analysis for Practitioners: A Practice Guide Additional course details: Nexus Humans BA04 - Eliciting and Writing Effective Requirements 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 BA04 - Eliciting and Writing Effective Requirements 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.

Course Overview This comprehensive Data Analytics course provides an in-depth exploration of data analysis, covering the essential principles and techniques used to extract valuable insights from data. Learners will engage with core concepts, such as data mining, statistical analysis, and visualisation, enabling them to make informed decisions and drive business outcomes. By the end of the course, participants will have the skills to analyse and interpret data, apply analytical tools effectively, and present their findings clearly. This course equips learners with the necessary tools to understand and leverage data in various professional settings, adding significant value to their career prospects. Course Description The Data Analytics course covers a wide range of topics, including the fundamentals of data analysis, statistical methods, and various data visualisation techniques. Learners will explore essential tools such as Excel and specialised software, while gaining a deep understanding of how to collect, store, and process data effectively. Emphasis is placed on developing the analytical mindset required to interpret data accurately and draw actionable insights. This course is designed to ensure learners can confidently navigate the world of data analytics and apply their knowledge in diverse industries, enhancing their problem-solving and decision-making abilities. Course Modules Module 01: Introduction to the World of Data Module 02: Basics of Data Analytics Module 03: Statistics for Data Analytics Module 04: Actions Taken in the Data Analysis Process Module 05: Gathering the Right Information Module 06: Storing Data Module 07: Data Mining Module 08: Excel for Data Analytics Module 09: Tools for Data Analytics Module 10: Data-Analytic Thinking Module 11: Data Visualisation That Clearly Describes Insights Module 12: Data Visualisation Tools (See full curriculum) Who is this course for? Individuals seeking to enhance their analytical skills for data-driven decision-making. Professionals aiming to transition into data analytics or enhance their data-related roles. Beginners with an interest in understanding data and its applications across industries. Business professionals seeking to leverage data for strategic growth. Career Path Data Analyst Business Intelligence Analyst Data Scientist Market Research Analyst Operations Analyst Financial Analyst Business Analyst Data Visualisation Specialist

A higher-level diploma programme including the analysis and research of the tourist business, marketing, advertisement, empowerment. Travel and Tourism course includes Travel and exploration knowledge. The most dynamic and rewarding global industries, contributing significantly to the economies of many countries and regions around the world. If you are planning to make your career in this travel and tourism field, we will provide you with true guidance which will lead you through ultimate success. Travel and Tourism course that is specially designed for you. Experts collaborated to develop this course throughout. For anyone who wants to turn a lifelong passion for travel into a rewarding career. Through this Travel and Tourism course, you will learn every aspect of the modern tour industry, Airlines, Airports and International Aviation, Tour Operations Management, the significance of successful distribution in this sector, human resource management in exploring different country or region, managing the countryside for visitor, information and communication technologies for visitors and much more. This Travel and Tourism course can teach you everything about this sector. About how you can transform your passion into a career and be successful. Tourism is a well-known human activity. It has been a massive industry that eventually promotes social and economic advancement. This sector is increasing at an incredible rate across the world. The travel industry continues to thrive despite the vast majority of economic and political pressures. This Travel and Tourism course includes all the current details. According to the most recent numbers, the global travel and tour related sector is worth somewhere around $7.6 trillion - a figure that continues to grow exponentially year after year. The demand for high-quality Travel and Tourism services among both leisure and business travelers has never been greater. Anyone who intends to pursue a Travel and Tourism course we are here to help you. Learning Outcomes After completing this Travel and Tourism course, learner will be able to: Gain a thorough understanding of travel & tourism Gain in-depth knowledge of the accommodation sector Have a solid understanding of airlines, airports and international aviation Understand tour operations management Know how to manage tourism distribution Understand human resource management in tourism Understand marketing management for tourism Know how to manage finance for tourism Understand the law and tourism Know how to manage urban tourism Know how to manage the countryside for tourism Information and communication technologies for tourism Ethics in tourism management Why Choose Tourism : Travel and Tourism Course from Us Self-paced course, access available from anywhere. Easy to understand, high-quality study materials. Travel and Tourism Course Developed by industry experts. MCQ quiz after each module to assess your learning. Automated and instant assessment results. 24/7 support via live chat, phone call or email. Free PDF certificate as soon as completing the course. ***Others Benefits of this Travel and Tourism Course Free One PDF Certificate Access to Content - Lifetime Exam Fee - Totally Free Unlimited Retake Exam [ Note: Free PDF certificate as soon as completing the Travel and Tourism course] Travel related working sector has economic consequences including greater tax revenue and personal income, improved living standards, and created more job possibilities. Whether you're new in this Travel and Tourism course. It does not matter if you are an entry-level learner, this course helps everyone to understand the basics and to educate them fully. We will teach you about managing finances for visiting, Ethics, urban culture and many more. This Travel and Tourism course includes all of the teachings that you can effortlessly learn and apply to your capabilities. Individuals attempting to pursue a career in this industry will gain all the ideas and necessary steps that you can follow from this Diploma in Travel and Tourism course. Understanding of the fundamentals and high-quality education. You can tell the difference from the very first lesson. We will assist you to learn about all the essentials and help you in every step of This Travel and Tourism course. You can always count on us if you ever feel difficulty solving any problem that's given to you. We will provide all kinds of help you need. We can assure you that you can fully trust us with the whole process in completing this Travel and Tourism course. We Ensure the best service. There has never been a better time to start or advance a career in the travel and exploring industry, so enroll in this Travel and Tourism course today and become a part of this interesting industry. Detailed course curriculum of *** Tourism : Travel and Tourism *** Module 1: An Overview of Travel & Tourism What is Travel & Tourism? Tourism Industries The Tourism System The Impacts of Travel and Tourism Management Issues Module 2: The Accommodation Sector: Managing for Quality Common Features of Hotel Operations Tourism Accommodation: The Role of Quality Tourism Accommodation: Managing for Quality Human Resources and Quality Management Module 3: Airlines, Airports and International Aviation Air Transport and Tourism Air Transport Policy European-style Liberalisation Strategic Alliance Networks Module 4: Tour Operations Management The UK Tour Operating Industry The Tour Operating Value Chain Tour Operators' Strategies The Consumer Module 5: Managing Tourism Distribution The Importance of Successful Distribution in Tourism Problems in Relation to the Distribution of Tourism Services Intermediaries in Tourism Distribution Channels Value Chain Approaches Outsourcing Distribution in the Airline Industry Managing Hotel Reservations Systems Managing the Costs of Distribution Module 6: Human Resource Management in Tourism Introduction Skills Shortages in Tourism Education and Training in Tourism Flexibility and Innovation in the Management of Human Resources Recruitment, Retention and Turnover Rewards, Benefits and Compensation Managing Quality Through Human Resources Module 7: Marketing Management for Tourism Managing the Strategic-Tactical Tension Stirring Around the Marketing Mix The Marketing Process and the Marketing Plan Branding as a Focus for Marketing Effort Module 8: Strategy for Tourism Mission and Stakeholders Strategic Analysis Strategic Choice Strategic Implementation Module 9: Managing Finance for Tourism Long-term Investment Decisions Investment Appraisal Methods Dealing With Risk Positive Aspects of Risk and Uncertainty Financing Decisions Module 10: The Law and Tourism The Package Travel Regulations 1992: Provisions and Responses Module 11: Managing Urban Tourism A Framework for Managing Urban Tourism Marketing Urban Tourism: Place Versus Territory Module 12: Managing the Countryside for Tourism: A Governance Perspective Tourism in the Countryside The Governance of the Countryside The Rural Governance Model Module 13: Site and Visitor Management at Natural Attractions The Management Task Operational Techniques Module 14: Information and Communication Technologies for Tourism E-Tourism and the Tourism Industry - Strategic and Tactical Functions E-Tourism Impacts on the Marketing Mix E-Airlines E-Hospitality E-Tour Operators E-Travel Agencies Module 15: Destination Marketing and Technology Use of Websites in Destination Marketing Identifying Visitors Forms of Web-based Data Mining Module 16: Tourism and the Environment What is the Tourism Environment? Managing the Tourism-environment Relationship Module 17: International Tourism: The Management of Crisis What is a Tourism Crisis? Principles of Tourism Crisis Management Managing a Tourism Crisis: A Framework Module 18: Ethics in Tourism Management Conflicts Surrounding Ethics Ethical and Responsible Business A Plethora of Codes Responsible Travel Market Trends Tour Operators Assessment Method After completing each module of the Travel and Tourism Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Once you complete all the modules in this manner, you will be qualified to request your certification. Certification After completing the MCQ/Assignment assessment for this Travel and Tourism Course, you will be entitled to a Certificate of Completion from Training Tale. It will act as proof of your extensive professional development. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? This Travel and Tourism Course is ideal for anyone looking to begin or further an existing career in the Travel & Tourism sector. Requirements There are no specific requirements for Travel and Tourism Course because it does not require any advanced knowledge or skills. Career path Candidates who successfully complete our Travel and Tourism Course may choose to pursue a wide range of careers, including: Travel agent Tour guide Holiday representative Accommodation booker Concierge manager Cruise ship director Information clerk Recreation worker Tour and travel guide Certificates Certificate of completion Digital certificate - Included

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Start your data science journey with this carefully constructed comprehensive course and get hands-on experience with Python for data science. Gain in-depth knowledge about core Python and essential mathematical concepts in linear algebra, probability, and statistics. Complete data science training with 13+ hours of content.

Machine literacy in data wisdom is a fleetly expanding discipline and now is the crucial element. This groundbreaking field equips computers and systems with the capacity to learn from data and ameliorate their performance over time without unequivocal programming. Statistical ways are employed to train algorithms to produce groups or prognostications and to find significant findings in data mining systems. immaculately, the conclusions made from these perceptivity impact crucial growth pointers in operations and companies. What's Machine Learning? . Machine learning classes in pune The machine literacy term was chased by Arthur Samuel in 1959. It's the discipline solely concentrated on studying and erecting tools and ways that can let machines learn. These styles use data to enhance the computer performance of a particular set of tasks. Machine literacy algorithms induce prognostications or possibilities and produce a model grounded on data samples, also called training data. There's a need for machine literacy as these algorithms are applied in a broad range of operations, for illustration, computer vision, dispatch filtering, speech recognition, husbandry, and drugs, where it's a challenge to produce traditional algorithms that can negotiate the needed tasks. orders in Machine Learning Being such a vast and complicated field, machine literacy is divided into three different orders machine literacy orders Supervised literacy – In this system, the algorithm is trained using data that has been labeled and in which the target variable or asked result is known. Once trained, the algorithm may make prognostications grounded on unidentified information by learning how to associate input variables with the willed affair. Unsupervised literacy – In this case, the algorithm is trained on unlabeled data, and its thing is to discover structures or patterns within the data without having a specific target variable in mind. Common unsupervised literacy tasks include dimensionality reduction and clustering. underpinning literacy – An algorithm is trained via relations with the terrain in this type of literacy. The algorithm learns how to operate in order to maximize a price signal or negotiate a particular ideal. Through prices or penalties, it receives feedback that helps it upgrade its decision-making process. Artificial Intelligence and Machine Learning Artificial intelligence( AI) is divided into several subfields, and machine literacy( ML) is one of them. In order to produce intelligent machines that can pretend mortal intelligence, a variety of methodologies, approaches, and technologies are used. This notion is known as artificial intelligence( AI). The development of ways and models that allow computers to acquire knowledge from data and make recommendations or judgments without unequivocal programming is the focus of machine literacy( ML). Some academics were interested in the idea of having machines learn from data in the early stages of AI as an academic field. They tried to approach the issue using colorful emblematic ways and neural networks. They were primarily perceptrons, along with other models that were ultimately discovered to be reimaginings of the generalized direct models of statistics. For this case, you aim to make a system secerning cows and tykes. With the AI approach, you'll use ways to make a system that can understand the images with the help of specific features and rules you define. Machine literacy models will bear training using a particular dataset of pre-defined images. You need to give numerous farmlands of cows and tykes with corresponding markers. Why is Machine Learning Important? Machine literacy is an abecedarian subfield of artificial intelligence that focuses on assaying and interpreting patterns and structures in data. It enables logic, literacy, and decision-making outside of mortal commerce. The significance of machine literacy is expanding due to the extensively more expansive and more varied data sets, the availability and affordability of computational power, and the availability of high-speed internet. It facilitates the creation of new products and provides companies with a picture of trends in consumer geste and commercial functional patterns. Machine literacy is a high element of the business operations of numerous top enterprises, like Facebook, Google, and Uber. Prophetic Analytics Machine learning course in pune Machine literacy makes prophetic analytics possible by using data to read unborn results. It's salutary in the fields of finance, healthcare, marketing, and logistics. Associations may prognosticate customer growth, spot possible troubles, streamline operations, and take visionary action to ameliorate results using prophetic models. Personalization and recommendation systems Machine literacy makes recommendation systems and substantiated gests possible, impacting every aspect of our diurnal lives. Platforms like Netflix, Amazon, and Spotify use machine literacy algorithms to comprehend stoner preferences and offer substantiated recommendations. Personalization boosts stoner pleasure and engagement while promoting business expansion. Image and speech recognition Algorithms for machine literacy are particularly good at jobs like speech and picture recognition. Deep literacy, a branch of ML, has converted computer vision and natural language processing. It makes it possible for machines to comprehend, dissect, and produce visual and audio input. This technology is helpful for driverless vehicles, surveillance, medical imaging, and availability tools, among other effects. Machine learning training in pune

In this course, we will process massive streams of real-time data using Spark Streaming and create Spark applications using the Scala programming language (v2.12). We will also get our hands-on with some real live Twitter data, simulated streams of Apache access logs, and even data used to train machine learning models.

Elasticsearch and Elastic Stack are important tools for managing massive data. You need to know the problems it solves and how it works to design the best systems and be the most valuable engineer you can be. Explore Elasticsearch 8 and learn to manage operations on your Elastic Stack with this comprehensive course. This course covers it all, from installation to operations.

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