
Unlock your potential in Professional Certificate: Product in just self-paced. Led by MTF Institute of Management, Technology and Finance. No prior experience required - this course guides you from the basics to advanced Professional Certificate: Product concepts. With hands-on projects and real-world examples, you'll gain confidence in your Professional Certificate: Product abilities. MTF Institute of Management, Technology and Finance breaks down complex concepts into easy-to-understand lessons.
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Master Supply Chain, Procurement, and Logistics with a Comprehensive Professional DiplomaAre you ready to advance your career or gain new expertise in one of the most critical and dynamic fields in modern business? The Professional Diploma in Supply Chain, Procurement, and Logistics is designed to equip you with the essential skills and knowledge to thrive in these interconnected domains. Whether you are an experienced professional seeking to upgrade your expertise, a fresh graduate entering the field, or a business owner optimizing operations, this course offers something valuable for everyone.In this course, you’ll explore the entire ecosystem of supply chain management, from sourcing raw materials to delivering finished products to customers. You’ll gain a strong foundation in procurement strategies, contract management, and supplier relationship optimization. In addition, you’ll delve deep into logistics and transportation management, learning how to design efficient networks, optimize routes, and manage freight for cost-effectiveness and sustainability.With globalization making supply chains more complex, this course also covers international trade regulations, customs management, and Incoterms. You’ll gain insights into the challenges and opportunities of global supply chains, ensuring you’re prepared for real-world scenarios.What sets this course apart is its emphasis on emerging technologies that are transforming the industry. You’ll learn how to harness the power of artificial intelligence, blockchain, IoT, and data analytics to drive efficiency, transparency, and resilience in your operations. By mastering these advanced tools, you’ll position yourself as a forward-thinking professional ready to lead in the digital age.The course is rich in practical content, offering real-world examples, case studies, and hands-on exercises. You’ll also complete a capstone project where you’ll apply your learning to create a comprehensive supply chain strategy, procurement plan, or logistics optimization model. This project will not only solidify your knowledge but also serve as a portfolio piece to showcase your skills to employers.By the end of this course, you’ll have a deep understanding of supply chain management, procurement best practices, and logistics optimization. You’ll be equipped to manage risks, improve efficiency, and lead transformative initiatives in any organization.Enroll today to gain a professional diploma that will set you apart in this high-demand industry. Whether you’re looking to enhance your current role, secure a new job, or expand your business expertise, this course is your pathway to success.Start your journey now and take the next step toward mastering supply chain, procurement, and logistics management!Who this course is for:Aspiring Supply Chain and Logistics ProfessionalsExperienced Professionals Seeking Career AdvancementBusiness Owners and EntrepreneursOperations and Project ManagersConsultants and AnalystsProfessionals in Related FieldsIndividuals Interested in Emerging Technologies

Data science and artificial intelligence are transforming how organizations make decisions, discover patterns, predict outcomes, and solve complex problems. From analyzing massive datasets and building predictive models to deploying machine learning systems and developing intelligent applications, data science has become a critical capability across technology, finance, healthcare, cybersecurity, research, and modern business operations. As organizations increasingly rely on data-driven decisions and AI-powered solutions, professionals need more than theoretical knowledge. They must understand the mathematics behind analytical methods, evaluate models critically, manage data quality, select appropriate algorithms, and apply machine learning techniques to real-world challenges.Successful data science is not simply about collecting data or training a machine learning model. It is about turning complex information into reliable, measurable, and actionable outcomes. Professionals must understand probability distributions, statistical inference, experimental design, data exploration, feature engineering, model evaluation, and optimization. They must also recognize data quality problems, identify misleading patterns, prevent model overfitting, choose suitable performance metrics, and understand the operational requirements of deploying and maintaining analytical solutions. In advanced applications, they must be able to evaluate deep learning architectures, understand natural language processing, work with computer vision concepts, and assess the limitations of different AI approaches.This is where CompTIA DataAI (DY0-001) becomes particularly valuable. The certification focuses on advanced data science knowledge, including mathematics and statistics, analytical modeling, machine learning, data science operations, and specialized applications. Preparing for this certification requires an understanding of how data science methods work, why particular approaches are appropriate, and how technical decisions affect analytical accuracy, model performance, operational efficiency, and business outcomes.Preparing for CompTIA DataAI requires more than memorizing statistical definitions, algorithm names, or machine learning terminology. Candidates must learn to interpret technical information, compare competing approaches, recognize methodological limitations, assess model results, and determine which techniques best address a particular problem. They must understand the relationship between data preparation, feature selection, model design, evaluation, deployment, and ongoing performance monitoring.This practice test is designed to help you systematically review, strengthen, and assess that knowledge through 1,500 certification-style practice questions organized into six focused sections. Whether you are preparing for the CompTIA DataAI certification, reviewing advanced data science concepts, or strengthening your understanding of machine learning and AI-driven analytics, this course provides a structured opportunity to challenge your knowledge, revisit essential principles, and identify areas that require additional study.The course covers probability, statistical inference, hypothesis testing, regression analysis, exploratory data analysis, data visualization, data quality, feature engineering, statistical modeling, supervised and unsupervised learning, model selection, deep learning, model evaluation, data pipelines, MLOps, workflow automation, natural language processing, computer vision, optimization, and specialized applications of data science.The objective is not simply to recognize individual concepts. It is to understand how mathematical and statistical principles support data science, how analytical decisions influence model outcomes, how machine learning systems are evaluated, and how data-driven solutions can be developed, deployed, and maintained effectively.The practice test contains 1,500 questions divided into six sections of 250 questions each, providing a structured review of essential data science concepts and technical subject areas associated with CompTIA DataAI DY0-001 preparation.The first section, CompTIA DataAI DY0-001: Applied Mathematics & Statistics — Probability, Inference & Models, establishes the mathematical and statistical foundation required for advanced data science. Questions cover probability theory, probability distributions, descriptive statistics, statistical inference, hypothesis testing, confidence intervals, correlation, regression metrics, sampling methods, statistical significance, variance, outliers, and mathematical modeling. You will examine how statistical techniques support evidence-based conclusions, how probability helps quantify uncertainty, and how statistical assumptions affect the interpretation of analytical results. The section also explores the appropriate use of statistical measures, the interpretation of model performance metrics, and the importance of selecting methods that match the characteristics of a dataset and the problem being investigated.The second section, CompTIA DataAI DY0-001: Data Analysis & Diagnostics — EDA, Visualization & Data Quality, focuses on understanding datasets before drawing conclusions or building analytical models. Questions cover exploratory data analysis (EDA), data profiling, descriptive summaries, data distributions, correlation analysis, visualization techniques, missing values, duplicate records, inconsistent data, outlier detection, data validation, and data quality assessment. You will evaluate how charts and statistical summaries reveal patterns, identify anomalies, and expose relationships between variables. The section also addresses the risks associated with biased samples, misleading visualizations, incomplete datasets, and inappropriate interpretations. The emphasis is on developing a systematic approach to investigating data, recognizing limitations, and establishing whether the available information is suitable for further analysis.The third section, CompTIA DataAI DY0-001: Data Preparation & Model Design — Feature Engineering & Evaluation, examines the processes that transform raw data into meaningful inputs for analytical and machine learning models. Questions cover data cleaning, feature engineering, feature selection, categorical encoding, normalization, standardization, transformation techniques, dimensionality reduction, dataset splitting, training and validation strategies, data leakage, baseline models, and model evaluation. You will examine how feature characteristics influence model behavior, how preprocessing choices affect results, and how evaluation methods help determine whether a model generalizes beyond its training data. The section also addresses experimental design, performance measurement, model requirements, and the trade-offs involved in selecting features and preparing datasets for different modeling tasks.The fourth section, CompTIA DataAI DY0-001: Machine Learning — Algorithms, Model Selection & Deep Learning, focuses on the algorithms and modeling principles used to discover patterns, generate predictions, and solve complex analytical problems. Questions cover supervised learning, unsupervised learning, classification, regression, clustering, decision trees, ensemble methods, model selection, hyperparameter tuning, overfitting, underfitting, bias-variance trade-offs, feature importance, dimensionality reduction, and deep learning fundamentals. You will explore the differences between common learning approaches, evaluate the strengths and limitations of competing algorithms, and examine how model complexity affects performance. The section also addresses neural networks, convolutional neural networks, recurrent neural networks, transformers, optimization techniques, and the considerations involved in choosing suitable architectures for different types of data and learning objectives.The fifth section, CompTIA DataAI DY0-001: Data Science Operations — Pipelines, MLOps & Optimization, explores the operational processes required to build reproducible, maintainable, and reliable data science solutions. Questions cover data ingestion, pipeline design, workflow orchestration, data preprocessing pipelines, code quality, version control, experiment tracking, model deployment, continuous integration and delivery concepts, MLOps, monitoring, model drift, reproducibility, performance optimization, and infrastructure considerations. You will examine how data and model workflows can be organized, how changes should be tracked, and how teams can improve consistency across development, testing, and production environments. The section also addresses resource utilization, deployment strategies, operational monitoring, and the importance of identifying changes in data characteristics or model behavior after deployment.The sixth section, CompTIA DataAI DY0-001: Specialized Data Science — NLP, Computer Vision & Advanced Applications, focuses on specialized techniques and emerging applications that extend beyond conventional data analysis and traditional predictive modeling. Questions cover natural language processing (NLP), text preprocessing, tokenization, embeddings, language models, transformer-based architectures, computer vision, image classification, feature extraction, deep learning applications, reinforcement learning concepts, optimization, and specialized data science use cases. You will examine how different data modalities require different analytical techniques, how specialized models are applied to text and image data, and how technical constraints influence the selection of an appropriate solution. The section also explores the broader considerations involved in applying advanced data science methods to practical problems, including computational requirements, model limitations, and the suitability of different approaches for specific tasks.Each question includes multiple answer choices, the correct answer, and a detailed explanation designed to clarify the underlying concept. Rather than simply identifying the correct option, the explanations help you understand why a particular answer is appropriate, which statistical principle or modeling technique applies, and why alternative approaches may be less suitable under the circumstances described.The questions assess knowledge through a combination of conceptual problems, analytical scenarios, and technical decision-making situations. Some focus on mathematical principles, statistical terminology, machine learning algorithms, evaluation metrics, and operational practices, while others require you to interpret analytical results, identify problems in a dataset, compare modeling techniques, evaluate methodological limitations, or determine an appropriate approach to a data science challenge.Across all 1,500 questions, you will encounter topics including probability distributions, statistical inference, hypothesis testing, regression, classification metrics, exploratory data analysis, visualization, data validation, missing data, feature engineering, feature selection, data preprocessing, train-test splitting, model evaluation, supervised learning, unsupervised learning, ensemble algorithms, deep learning, neural networks, hyperparameter tuning, pipeline orchestration, version control, MLOps, model monitoring, NLP, computer vision, and advanced analytical applications.All six sections can be retaken as many times as needed, allowing you to revisit challenging questions, study the explanations, identify gaps in your understanding, and reinforce important concepts. Repeated practice can help you recognize relationships between statistical methods and modeling decisions, distinguish between similar algorithms, interpret evaluation results more effectively, and approach complex analytical scenarios in a more structured manner.This practice test is designed for CompTIA DataAI DY0-001 certification candidates, data scientists, aspiring machine learning engineers, data analysts, AI practitioners, analytics consultants, and technology professionals who want to strengthen their understanding of advanced data science concepts. It can also be useful for learners who already have experience with data analysis or machine learning and want to review the broader principles connecting mathematics, statistical modeling, machine learning, and data science operations.A strong understanding of these subjects is valuable across many technical fields because modern organizations increasingly use analytical models to forecast demand, identify patterns, assess risks, automate decisions, process unstructured information, and improve operational performance. Professionals who understand both the analytical foundations and the practical limitations of these technologies are better equipped to evaluate proposed solutions and make informed technical decisions.Completing all six sections will give you the opportunity to assess your knowledge across a broad range of data science topics, from probability and statistical inference to machine learning, operational workflows, and specialized AI applications. The structured format allows you to review individual areas independently while also developing a broader understanding of how the different stages of a data science workflow fit together.The questions encourage a practical approach to analytical problem-solving: understand the problem, examine the available data, identify the relevant statistical or computational methods, evaluate the possible approaches, interpret the results, and select a technically appropriate solution. This process is fundamental to building analytical solutions that are not only mathematically sound but also useful, reliable, and suitable for their intended purpose.The goal is not simply to memorize definitions, formulas, or algorithm names. It is to develop a stronger understanding of how statistical reasoning supports reliable conclusions, how data preparation influences model quality, how machine learning methods differ, how model performance should be evaluated, and how data science solutions can be operated and improved over time.Whether you are beginning your preparation for CompTIA DataAI DY0-001, refreshing your knowledge of advanced analytics, or strengthening the technical foundation needed for data science, machine learning, and artificial intelligence work, this practice test provides 1,500 questions across six structured sections to help you review essential concepts and assess your readiness.With extensive coverage of applied mathematics and statistics, data analysis and diagnostics, feature engineering and evaluation, machine learning and deep learning, data science operations, MLOps, NLP, computer vision, and specialized applications, this course offers a systematic approach to reviewing the knowledge areas that support modern data science.Build your data science knowledge, challenge your understanding, identify your weak areas, and strengthen your ability to analyze data, evaluate models, and make informed technical decisions.Who this course is for:Candidates preparing for CompTIA DataAI (DY0-001) who want structured practice across data science domains.Data analysts expanding their knowledge of statistical inference and predictive modeling.Aspiring data scientists assessing their understanding of analytical methods and machine learning.Machine learning practitioners reviewing feature engineering, validation, and model evaluation.AI professionals strengthening their understanding of the statistical foundations of intelligent systems.Data science students seeking scenario-based practice beyond definitions and formulas.Data science professionals preparing for CompTIA DataAI who want to assess their knowledge of statistics and machine learning.Junior machine learning engineers reviewing algorithms, evaluation metrics, and deployment concepts.Data professionals identifying knowledge gaps before attempting a certification examination.Software developers who collaborate with data teams and want to understand modeling decisions.Data engineers exploring the relationship between pipelines, machine learning, and MLOps.Analytics consultants comparing statistical techniques for practical business challenges.Researchers refreshing their understanding of probability, regression, and statistical inference.Professionals interpreting model outputs who want to improve their evaluation skills.Learners exploring NLP, embeddings, transformer architectures, and computer vision.Career changers building a foundation for further study in data science and artificial intelligence.Technical learners reviewing the complete workflow from data preparation to model monitoring.Experienced analysts revisiting model generalization, validation strategies, and data leakage.Independent learners assessing their knowledge of mathematics, statistics, and machine learning.Certification-focused learners who prefer repeated practice with detailed answer explanations.
![AI採用コース: 求人票からスカウトまで手作業をやめるChatGPTソーシングと採用自動化、47ツール [JP]](https://img-c.udemycdn.com/course/480x270/6670421_8a34_3.jpg)
この講座では人工知能を使用します。 新しい求人のたびに、また白紙から。定型業務をAIに任せる47のツールをご用意しました。すぐに使えるプロンプト、メッセージテンプレート、サンプルが33点、画面で紹介するサービスとアプリが14点あります。 講義を開き、プロンプトをコピーして、今日からあなたが担当する求人に使ってみましょう。 採用担当者が毎週何時間も費やす理由 採用担当者の1週間の多くは、求人広告の作成、検索クエリの組み立て、履歴書の確認、初回メッセージの送信といった繰り返しの業務に費やされます。あなたも何度となく行ってきた作業を、今も手作業で続けているのではないでしょうか。何を依頼し、回答をどう確認するかがわかれば、AIにこうした業務の多くを任せられます。すぐに使えるプロンプトがなければ、毎回空のチャット画面から始め、結局は自分で文章を書き直すことになります。 受講後に変わること 実務で使える一式があなたの手元にそろいます。チャネルに合わせて求人広告を作成・改善するプロンプト、Boolean検索やX-ray検索を組み立てるプロンプト、履歴書と求人を比較するプロンプト、初回連絡のメッセージや段階的に送るメールです。さらに、書類選考、ソーシング、面接に使えるAIサービスの全体像を把握し、サービス提供会社から提案を受ける前に選択肢を知ることができます。 収録内容:講義ごとに確認できる47のツール この数字をそのまま信じる必要はありません。各講義の説明を開けば、収録されているすべてのツールを名前で確認できます。 6つのダウンロード可能なリソース:講義のプレゼンテーション資料 プレゼンテーション資料に収録された33のすぐに使えるツール: 19のすぐに使えるAIプロンプト:職務記述書の魅力向上プロンプト、Facebook求人告知プロンプト、ブール検索クエリ作成プロンプト、候補者へのアプローチメール作成・改善プロンプト 8つのテンプレートとサンプル:IT部門長の職務記述書、候補者とのキャリア面談を打診するメッセージ、複数チャネルをまたぐ候補者フォローアップメッセージ AI採用リスク評価チェックリストを含む3つのチェックリスト 2つの手順:候補者への4通のアプローチメッセージシーケンス、資格情報をメール署名に埋め込む手順 候補者紹介と採用機会についての会話スクリプト1点 概要紹介から詳しいデモまで、画面で紹介する14のサービスとアプリ:ChatGPT、Midjourney、Microsoft Designer、SeekOut、Phenom、Jobvite、Notionなど ツールを学べる講義 AI採用、求人広告、採用ブランド(26ツール)。 採用におけるAIの動向と、職務記述書、広告、画像を作成するプロンプトを学びます。 AIを活用した選考(25ツール)。 書類選考と検索のプロンプト、アプローチメッセージ、面接用サービスを学びます。 AIを活用した採用マーケティング(1ツール)。 メール署名に関する手順を学びます。 講師紹介 私はMikeです。Udemyの#1 HR講師として、170,000人の受講生から1,800,000+の受講登録をいただき、Amazonで約200冊を出版しています。Preplyがユニコーン企業へと成長する過程で人事の仕組みを構築し、20年にわたる人事のキャリアでWargaming、iDeals、Alfa-Bankでも働いてきました。PHRi、SHRM-CP、HCI sHRBPの資格を保有し、東欧でHRCIの代表を務めています。 ChatGPTが利用できるようになった当初、私はいち早く採用業務に取り入れ、関連講座を開講した一人だと思います。最初は「採用でのChatGPT活用」というシンプルなテーマから始めましたが、その時点ですでに、受講生から業務が速くなったという声が届いていました。その後も数か月ごとに新しいツールが登場するため、新しい動向と講座に追加する価値のある内容を継続して確認しています。 この講座の位置づけ 資格取得プログラムではありません。Udemyの修了証明書と、実務で使えるプロンプト一式を得られます。 講座の活用方法 6つの講義を順番に進めてください。所要時間は3時間です。セクション名と講義名で収録ツール数を確認でき、各講義の説明にはツール名が一覧で記載されています。 含まれる内容 3セクションにわたる7講義、3時間 6つのダウンロード可能なリソース:講義のプレゼンテーション資料 講義全体で47のツール。コピーしてあなたの業務にすぐに使えます 10問の模擬テスト、クイズ、ロールプレイ すべての教材への無期限アクセス Q&Aセクションでの講師による積極的なサポート Udemyの修了証明書 最初の一歩 あなたが今担当している求人を1つ選んでください。求人広告の講義を開き、職務記述書作成プロンプトをコピーして、その求人に使ってみましょう。出力された内容を、あなたが作成した広告と比較してください。今すぐ受講登録して、今日から最初の講義を始めましょう。Who this course is for:日々の採用業務にAIを取り入れたい採用担当者やソーサー人事担当者や人材獲得の専門家自ら採用を行う採用部門のマネージャー、経営者、スタートアップの創業者最新のAIツールを活用し、採用の仕事を始めたい初心者

This course contains the use of artificial intelligence. 400 tools for organizational development in one course: 245 ready-to-use question lists, procedures, checklists, templates and matrices, 132 models and methods, and 23 services and apps shown on screen. Open a lecture, take the tool, use it in your current change project. Why change projects stall A company starts a change with a solution: a new structure, new values, a new system. Nobody has checked what the real problem is, people do not see why it is needed, and after three months everything quietly returns to the old way. Organizational development works in the opposite order: first diagnosis, then a plan agreed with the people involved, then the intervention and an honest evaluation. What changes after this course You agree the scope and the roles before the project begins. You collect data with interviews, surveys and observation and bring the findings back to the client. You build an action plan and choose interventions for the individual, the team and the process. You measure what changed. And you can lead the people who carry the change. What is inside: 400 tools, counted file by file You do not have to take this number on trust. Open any lecture and read its description: every tool inside is listed there by name. 56 downloadable resources: the lecture presentations 245 ready-to-use tools inside the presentations: 73 question lists and conversation scripts: organizational change readiness, OD diagnostic interview script, Gallup Q12 questionnaire, corporate culture diagnosis 46 step-by-step procedures and workflows: PDCA cycle, OD action planning, corporate culture development, Kotter’s 8-step change model 43 templates and sample documents: OD consulting plan, OD action plan, business process description, SWOT analysis 43 checklists: OD contracting, survey design, corporate culture integration, OD intervention evaluation 27 scorecards, rubrics and scoring matrices: CIPD organizational development competencies, RACI matrix, change resistance response matrix, stakeholder power-interest matrix 4 formulas and metric sets: leadership style effectiveness index, median salary calculation, employee retention metrics 1 search string 8 other working tools: personal history team exercise, team effectiveness feedback exercise, event-driven process chain 132 models and methods explained with examples: force field analysis, Schein organizational culture model, Tuckman team development model, Lewin’s change model 23 services and apps shown on screen, from a quick look to a detailed demo: Miro, Notion, Asana, Jira, Trello, Slack, Zapier, 15Five and others Where the tools are OD core (4 sections, 99 tools). OD fundamentals and starting a project, diagnosis and action planning, interventions for individuals, teams, processes and global change, evaluation and change management. People management for OD leaders (316 tools in 48 lectures). Hiring and onboarding, team development, leadership styles, pay and bonuses, motivation and retention, talent and succession, goals and metrics, one-on-one meetings, coaching, team meetings, agile work and change. Three quarters of the course tools and all 23 services are here. Who is teaching I am Mike, the #1 HR instructor on Udemy, with 1,800,000+ course enrollments from 170,000 students, and the author of about 200 books on Amazon. I built the people system at Preply as it became a unicorn and worked at Wargaming, iDeals and Alfa-Bank across 20 years in HR. I hold PHRi, SHRM-CP and HCI sHRBP certifications and represent HRCI in Eastern Europe. I start every change with diagnosis. When I joined Preply there were 45 people, and I held 45 interviews. It took about a month and gave me an ideal picture. At iDeals there were already 115 people, so I ran surveys and interviewed about eight managers; I said I wanted to get to know the company, but I was looking at their readiness for change. At Wargaming management was worried about turnover and assumed people were unhappy with pay. I ran a large research project, and things turned out to be not as bad as management thought, though there were clear problems in communication and processes to fix. How to use the course Watch the four OD sections in order: they follow a project from contracting to evaluation. Then use the people management lectures as a reference. Section and lecture titles show how many tools are inside, and each lecture description lists them by name. What is included 57 lectures across 6 sections, 30 hours 56 downloadable resources: lecture presentations 400 tools across the lessons, ready to copy into your own work A 10-question practice test, a quiz and a role play Lifetime access to all materials Active instructor support in the Q&A section A Udemy Certificate of Completion Where to start Take one change your company is planning. Open the lecture on starting OD projects, go through the contracting checklist and answer the change readiness questions. Enrol now and start your first lesson today.Who this course is for:OD specialists and internal consultants who run diagnosis and change projectsHR directors and HR business partners responsible for organizational effectivenessChange managers and transformation leadsManagers and founders who lead a restructuring, a merger or a culture changeHR professionals moving from operational HR to organizational development
![Corso HRBP: da HR operativo a partner, 140 strumenti [IT]](https://img-c.udemycdn.com/course/480x270/7065029_a146_3.jpg)
Questo corso prevede l'uso dell'intelligenza artificiale. Il manager parla di margini e obiettivi, le HR rispondono con le policy e vengono chiamate solo quando occorre assumere o licenziare. Ecco 140 strumenti per cambiare le cose: 104 elenchi di domande, modelli, calcoli, matrici e checklist pronti all'uso, 34 modelli e metodi e 2 servizi mostrati sullo schermo. Apri una lezione, scegli lo strumento e usalo nel tuo prossimo incontro con un manager. Perché le HR non vengono coinvolte nelle decisioni aziendali Un manager parla di margini, obiettivi e clienti. Le HR rispondono con processi, policy e sondaggi. Manca un punto d'incontro e la decisione viene presa senza le HR. Un HR business partner parte da un'altra prospettiva: come funziona l'unità aziendale, quali ostacoli incontra e quali decisioni sulle persone possono migliorare i risultati. Cosa cambia dopo questo corso Comprendi il modello di business e le finanze della tua unità aziendale. Sai quantificare i costi del turnover e del basso engagement, oltre ai costi e ai benefici di un nuovo sistema HR. Hai strumenti per team e manager: discussioni sull'engagement, agende per incontri individuali, piani di successione e di sviluppo. Lavori come consulente interno e guidi il cambiamento mantenendo le persone coinvolte lungo il percorso. Cosa trovi nel corso: 140 strumenti, contati lezione per lezione Puoi verificare tu stesso questo numero. Apri una lezione qualsiasi e leggi la descrizione: ogni strumento presente è elencato per nome. 10 risorse scaricabili: le presentazioni delle lezioni 104 strumenti pronti all'uso nelle presentazioni: 53 elenchi di domande e guide alla discussione: Guida alle domande per le riunioni aziendali, guide alla discussione basate su Gallup Q12, guide al colloquio individuale, Guida alle domande per il colloquio di uscita 23 modelli ed esempi di documenti: Piano di sviluppo individuale, Modello di profilo professionale, Schema del piano di progetto di consulenza, Schema del report sul turnover dei dipendenti 8 calcoli e insiemi di metriche: Calcolo del business case per un investimento HR, Valore del dipendente nel ciclo di vita, Indicatori di salute finanziaria, Metriche di retention dei dipendenti 5 matrici: Matrice RACI, Matrice di differenziazione competitiva, Matrice di risposta alla resistenza al cambiamento 5 procedure passo dopo passo 4 checklist 6 esercizi e autovalutazioni: Autovalutazione dell'HRBP strategico, Esercizio sull'efficacia del team, Autovalutazione dello stile negoziale 34 modelli e metodi spiegati con esempi: Modello dei ruoli HR di Ulrich, Modello di sviluppo del team di Tuckman, Le cinque disfunzioni di un team, OKR, Six Sigma 2 servizi mostrati sullo schermo: Microsoft Excel e MuchSkills Dove trovi gli strumenti L'HRBP strategico: finanza, collaborazione con il business e allineamento (32 strumenti). Il ruolo del partner, le basi della finanza, il business case delle iniziative HR. Cultura, engagement e performance organizzativa (80 strumenti). Analisi dei dati sulle persone, team, engagement, collaborazione e retention, incontri individuali e performance. L'HRBP come consulente: cambiamento, influenza e leadership (28 strumenti). Consulenza, gestione del cambiamento, influenza e negoziazione. Chi ti insegna Sono Mike, docente HR #1 su Udemy, con 1,800,000+ iscrizioni ai corsi da parte di 170,000 studenti e autore di circa 200 libri su Amazon. Ho costruito il sistema di gestione delle persone di Preply mentre l'azienda diventava un unicorno e ho lavorato in Wargaming, iDeals e Alfa-Bank nel corso di 20 anni nelle HR. Possiedo le certificazioni PHRi, SHRM-CP e HCI sHRBP e rappresento HRCI nell'Europa orientale. Ho lavorato anch'io come HR business partner, in Wargaming. Durante il periodo di prova, uno dei miei obiettivi era capire esattamente come l'azienda guadagnasse con giochi offerti gratuitamente. È la prima cosa che un partner deve imparare in una nuova azienda. Ho iniziato questo percorso con un corso dello Human Capital Institute. Quando ho cercato un quadro di competenze per gli HR business partner, ho scoperto che il loro era l'unico sviluppato in modo rigoroso. L'idea del modello di competenze mi è piaciuta e in questo corso l'ho arricchita con la mia esperienza e i miei strumenti. Cosa non è questo corso Non è un programma di certificazione professionale. Il corso segue le aree di competenza dell'HR business partner e ti permette di ottenere l'attestato di completamento Udemy. Come seguire il corso Segui le tre sezioni nell'ordine proposto: prima business e finanza, poi persone e team, infine consulenza e cambiamento. I titoli delle sezioni e delle lezioni indicano quanti strumenti contengono e la descrizione di ogni lezione li elenca per nome. Cosa è incluso 11 lezioni suddivise in 3 sezioni, 5,5 ore 10 risorse scaricabili: le presentazioni delle lezioni 140 strumenti nelle lezioni, pronti da applicare al tuo lavoro Un test pratico di 10 domande e un quiz Accesso a vita a tutti i materiali Supporto attivo del docente nella sezione Q&A Un attestato di completamento Udemy Da dove iniziare Apri la prima lezione e completa l'Autovalutazione dell'HRBP strategico. Poi usa la Guida alle domande per le riunioni aziendali nella tua prossima conversazione con un manager e osserva come cambia il dialogo. Iscriviti ora e inizia oggi la tua prima lezione.Who this course is for:HR manager e HR generalist che vogliono crescere nel ruolo di HR business partnerHR business partner che vogliono parlare il linguaggio del business e dei numeriDirettori HR che stanno creando una funzione HRBPRecruiter e specialisti HR che pianificano il prossimo passo di carrieraManager che vogliono capire cosa aspettarsi da un HRBP competente

Estás aquí porque quieres crear una popular perfil de Instagram, ¿verdad?Tal vez eres nuevo en Instagram, o quizás tienes algo de experiencia pero necesitas ayuda para hacer crecer tu cuenta existente.Instagram es el lugar perfecto para hacer crecer su propia marca, atraer tráfico a su sitio web y ganar dinero con la promoción de sus productos y servicios. Y este es el curso perfecto para que comiences en Instagram.Si está buscando hacer crecer su propia marca, OBTENER MÁS VISITAS Y SEGUIDORES, o comenzar una cuenta desde cero y ganar dinero, ¡este es el curso perfecto para usted!¡PONIENDO EN PRACTICA TODO LO APRENDIDO!Curso de Instagram, ¡Desde Cero Hasta Experto!, es el curso más completo que encontrará en Internet, que tiene como objetivo enseñar, de forma rápida y sencilla, tanto a principiantes como a usuarios avanzados, a desarrollar todo el potencial de marketing de una de las redes sociales con más usuarios del mundo y multiplicar exponencialmente la visibilidad y los beneficios de su empresa, marca o sitio web.Es el único lugar con todo lo que necesita para comenzar a crear contenido y videos que obtengan miles de visitas y seguidores, ¡y finalmente le hagan ganar dinero!Curso de Instagram, ¡Desde Cero Hasta Experto!, es un curso rápido y eficaz que te lleva de cero habilidades a un completo perfil de Instagram con contenido, videos, vistas y seguidores de alta calidad.Si bien hay muchos cursos de Instagram que se centran en aspectos específicos de la construcción de un perfil de Instagram, es difícil encontrar un curso integral como este, que sea para principiantes completos y para cualquier persona que necesite aumentar rápidamente su audiencia de Instagram.Este curso está diseñado para cualquier persona que haga contenido y videos (o quiera hacer contenido y videos) y quiera hacer crecer su marca en Instagram. Entonces, si eres un novato completo o alguien con un perfil que necesita ayuda, estás en el lugar correcto.¿QUÉ PODRÁS HACER DESPUÉS DE TOMAR ESTE CURSO?Iniciar un perfil desde cero.Obtener vistas sin seguidores.Convertir espectadores en seguidores.Crear contenidos y videos sin un presupuesto o con uno relativamente bajo.Navegar por la plataforma de Instagram.Publicar y optimizar sus contenidos y videos con grandes títulos, descripciones, etiquetas y miniaturas (SEO en Instagram).Hacer crecer tu marca a través de los contenidos y videos de Instagram.Mejorar tu perfil mediante el uso de análisis y estadísticas.Ganar dinero con sus videos de Instagram: productos y servicios, patrocinadores y financiación colectiva.Utilizar las mejores prácticas para crear y hacer crecer un perfil de Instagram.Crear y editar imágenes para publicarlas en tu perfil de Instagram.Crear y editar videos para publicarlos en tu perfil de Instagram.Ganar dinero promocionando tus productos y/o servicios en tu perfil de Instagram.MEJORA TU PERFIL DE INSTAGRAM, OBTÉN MÁS VISITAS Y SEGUIDORES Y GANA MÁS DINEROIndependientemente de cuál sea su nivel de experiencia o qué tipo de programas utilice, este curso en profundidad está diseñado para brindarle todo lo que necesita para lanzar un perfil de Instagram exitoso.Ya sea que desee crear un perfil para promocionar su negocio, enseñar una habilidad o simplemente compartir su historia de vida a través de vlogs, al comprender qué es lo que hace que un perfil de Instagram sea exitoso, puede replicar y obtener más visitas, más seguidores y ganar dinero en su propio perfil. Este curso te muestra exactamente cómo hacerlo.¡LLEGÓ LA HORA DE COMENZAR A USAR INSTAGRAM PARA HACER CRECER TU NEGOCIO Y TU MARCA PERSONAL!Este curso está dirigido a enseñar a los nuevos usuarios de Instagram lo que se necesita para crear excelentes contenidos y videos para ganar dinero con ellos. La mayoría de las lecciones son tutoriales prácticos donde le explicamos no solo lo que se necesita para tener éxito, sino también dónde le mostramos exactamente cómo hacerlo.Comenzará con lo básico: las mejores prácticas para todos los usuarios de Instagram. Estos consejos te pondrán en la mentalidad de un creador de contenido para Instagram.Aprenderás cómo usar la plataforma de Instagram. Se registrará para obtener una cuenta, se verificará en Instagram y sabrá cómo navegar por toda la plataforma.A continuación, aprenderá a hacer excelentes contenidos y videos con programas y equipos profesionales y económicos. Aprenderás cómo crear diseños impresionantes y grabar un gran video con cualquier cámara, cómo grabar un gran audio, cómo encender videos con una configuración de bricolaje barata y cómo editar videos de manera eficiente.Después de aprender a crear contenidos y videos asombrosos, aprenderá a publicarlos en su perfil de Instagram con excelentes títulos, descripciones y etiquetas que son compatibles con SEO y le ofrecerán la mayor cantidad de visitas. Aprenderá otras estrategias de optimización para obtener la mayor cantidad de visitas y seguidores.Al aprender a usar la analítica de Instagram, sabrá qué contenidos y videos funcionan y cuáles no. Esto lo ayudará a hacer crecer rápidamente su perfil de Instagram, con la creación de contenidos y videos inteligentes, solo haciendo contenidos y videos que sepa que funcionarán.Por último, aprenderás cómo ganar dinero con Instagram. Existen varias formas en las que aprenderá cómo ganar dinero con sus contenidos y videos de Instagram, mediante los productos digitales y físicos, el patrocinio y el financiamiento colectivo.Al final de este curso, tendrá un perfil de Instagram del que estará orgulloso. Estarás haciendo contenidos y videos de alta calidad que tu audiencia amará. Obtendrá cada vez más seguidores para aumentar la fortaleza de su marca. Y estarás ganando dinero con Instagram.¿QUÉ ME CALIFICA PARA ENSEÑARTE?Mi nombre es Renato y soy el creador de uno de los canales de Youtube más populares del mundo en el tema de tutoriales y marketing digital: Programación Fácil, SEO y Marketing, con más de 180,000 estudiantes (Botón de Plata de YouTube), más de 80 MILLONES de reproducciones y miles de comentarios en mis tutoriales, tales como estos:Hola te felicito por los tutoriales, muy bien explicados y sobretodo de mucha utilidad. Gracias y saludos. - RIGO TovarMuy buena las explicaciones en sus tutoriales, lo felicito. - Carlos CabarcasExcelente caballero muchas gracias por tan buen aporte. - Alexander GraysonMuchas gracias, bien explicado y efectivamente muy ÚTIL. - Dulce RodríguezGracias por tu video fue muy sencillo el procedimiento y muy ùtil. - Verónica Trujillo¡MI PROMESA PARA TI!Soy un instructor en línea a tiempo completo. Estaré aquí para usted en cada paso del camino. Si tiene alguna pregunta sobre el contenido del curso o algo relacionado con este tema, siempre puede publicar una pregunta en el curso o enviarme un mensaje directo.Quiero que este sea el mejor CURSO DE INSTAGRAM que se encuentre en Internet. Entonces, si hay alguna manera de mejorar este curso, solo dígame y lo haré realidad.¡Adelante, haz clic en el botón de COMPRAR AHORA y te veré en la lección 1!Saludos,Renato Jesús Yacolca NeyraWho this course is for:Empresas que desean hacer crecer su marca, obtener visibilidad, obtener seguidores y ganar dinero con Instagram.Personas que quieran crear su propia cuenta de negocios en Instagram, que no lo haya hecho antes y no tenga experiencia con redes sociales o Instagram.Empresas, empresarios, profesores en línea, actores, actrices, artistas o cualquier persona que quiera construir su propia marca.
Get access to 115+ premium paid courses collection with 8000+ videos and 3500+ files on Telegram
Get access to 115+ premium paid courses collection with 8000+ videos and 3500+ files on Telegram