12 051 cours
This course is primarily aimed at individuals who want to learn how Data Science is applied in the real world, what we mean by data, and what we mean by machine learning. The course also covers concepts such as K-means and categorical and numerical data.
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Every time you use Google to search something, every time you use Facebook, Twitter, Instagram or any other SNS (Social Network Service), and every time you buy from a recommended list of products on Amazon.com you are using a big data system. In addition, big data technology supports your smartphone, smartwatch, Alexa, Siri, and automobile (if it is a newer model) every day. The top companies in the world are currently using big data technology, and every company is in need of advanced big data technology support. Simply put, big data technology is not an option for your company, it is a necessity for survival and growth. So now is the right time to learn what big data is and how to use it in advantage of your company. This 6 module course first focuses on the world’s industry market share rankings of big data hardware, software, and professional services, and then covers the world’s top big data product line and service types of the major big data companies. Then the lectures focused on how big data analysis is possible based on the world’s most popular three big data technologies Hadoop, Spark, and Storm. The last part focuses on providing experience on one of the most famous and widely used big data statistical analysis systems in the world, the IBM SPSS Statistics. This course was designed to prepare you to be more successful in businesses strategic planning in the upcoming big data era. Welcome to the amazing Big Data world!
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En este curso identificarás las estructuras de gobernanza en una entidad, los organismos reguladores que la supervisan para generar un ambiente de rendición de cuentas y en cumplimiento de las responsabilidades legales.
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The course deals with the analysis of the private equity and venture capital business. Over the course, students will be provided with a deep understanding of the mechanism underpinning the creation and/or development of a firm and the financial support it can get from the financial system through venture capital investment. The course tries to discover how special financial intermediaries (called private equity investors) finance through equity companies belonging to different stages of their life-cycle, starting from the very beginning (startup and early stage) to a more mature phase (i.e. expansion, mature age, etc.) or also staying into crises and decline. Private equity (named venture capital when the company is in the first phases of its life cycle) deals with very different activities, such as scouting, advisory, deal-making, valuation, and financing as financial intermediaries see it. COURSE SYLLABUS The course is made up of four different modules: WEEK 1 - Introduction to Private Equity and Venture Capital WEEK 2 - Discovering Private Equity Investors: Legal Issues and Taxation WEEK 3 - Management of Private Equity and Venture Capital Funds WEEK 4 - Company Valuation And Deal Making In Private Equity Settings WEEK 5 - Final Test Throughout the course, guest speakers and practitioners will be interviewed to provide some examples of concrete applications of the contents presented. RECOMMENDED BACKGROUND An understanding of the basic concepts of corporate financing accounting principles is required, while prior knowledge of private equity and venture capital is not required however it is recommended, as this is a course designed to introduce you to the fundamental concepts in private equity and venture capital.
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Cloud TPU 과정에 오신 것을 환영합니다. 다양한 시나리오에서 TPU의 장단점을 살펴보고 여러 TPU 가속기를 비교하여 적합한 것을 선택하는 데 도움을 드리겠습니다. 이 과정을 통해 AI 모델의 성능과 효율성을 극대화하는 전략을 배우고 유연한 머신러닝 워크플로에 있어 GPU/TPU 상호 운용성이 얼마나 중요한지 이해하게 될 것입니다. 흥미로운 콘텐츠와 실용적인 데모를 통해 TPU를 효과적으로 활용하는 방법을 단계별로 안내해 드리겠습니다.
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Maximize your profit from each customer with accurate pricing! This course will teach you: Product pricing strategy Service pricing strategy Sales negotiation How to maximize your LTV (lifetime customer value) These are the three essential components of making sure that you get the most out of every client. Most first-time entrepreneurs struggle with choosing the right price for their business. But the key to maximizing revenue from each customer is the LTV (lifetime customer value). In this course, in addition to explaining how to price different products, I explain how to get those same customers to come back to your business many more times, and buy many additional times from you, often increasing revenue by thousands of percent. This course also teaches you business negotiation skills, which can maximize your profit. PRICING STRATEGY CASE STUDY The course contains a pricing case study of one of my products that has been sold for as little as $20 and as much as $5,000 for the exact same product. I explain complete negotiation tactics around it. If you have a new business or a product that you are not sure how to price, get this course today and learn how to find an ideal price for your product or service. INSTRUCTOR BACKGROUND I've been an entrepreneur for 15+ years, have coached 1,000+ entrepreneurs in person, taught 100,000+ students, impacted millions of entrepreneurs worldwide creating 6 and 7-figure businesses in the process, and I would love to help you. I am an expert growth marketer, and I create winning marketing strategies for my clients all the time. Now it is your turn to grow your business and fulfill your dreams. BONUSES INCLUDED * Lots of extra freebies, downloadable worksheets, and exercises to make the course more interactive and valuable * Personal invitation to my Facebook community after you complete the course * My list of 50 business-success skills when you complete the course * Be entered to get chosen for my student of the month status and have your business featured RESPONSIVE AND CARING INSTRUCTOR: WORLD-CLASS STUDENT SUPPORT If you have questions, know that I am here to help! I answer 99% of student questions within 24 hours. Many students tell me that other instructors don't respond. Well, I do because 1) I care about my students. 2) I feel a responsibility to make sure that students get their money's worth from the course. Invest in your future. Enroll now.
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Financial Forecasts: Learn from Errors is an advanced course for financial analysts and planners who want to move beyond just building models to building better models. In the real world, forecasts are rarely perfect. This course teaches you the critical skill of learning from those imperfections to drive continuous improvement and predictive accuracy. You will learn to perform a root cause analysis on failed models, pinpointing whether errors stem from flawed assumptions, bad data, or broken logic. Through a hands-on analysis of a failed retail model, you'll write a professional lessons-learned memo. Next, you'll shift focus to dissecting success, analyzing how a project overcame cost overruns, and synthesizing those learnings into a reusable best-practice checklist. The course culminates in a final project where you will use these new skills to create a comprehensive forecasting improvement plan. By the end, you won't just be a model builder; you'll be a model strategist, equipped to enhance the reliability and credibility of your team's financial forecasts.
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Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis. Process mining bridges the gap between traditional model-based process analysis (e.g., simulation and other business process management techniques) and data-centric analysis techniques such as machine learning and data mining. Process mining seeks the confrontation between event data (i.e., observed behavior) and process models (hand-made or discovered automatically). This technology has become available only recently, but it can be applied to any type of operational processes (organizations and systems). Example applications include: analyzing treatment processes in hospitals, improving customer service processes in a multinational, understanding the browsing behavior of customers using booking site, analyzing failures of a baggage handling system, and improving the user interface of an X-ray machine. All of these applications have in common that dynamic behavior needs to be related to process models. Hence, we refer to this as "data science in action". The course explains the key analysis techniques in process mining. Participants will learn various process discovery algorithms. These can be used to automatically learn process models from raw event data. Various other process analysis techniques that use event data will be presented. Moreover, the course will provide easy-to-use software, real-life data sets, and practical skills to directly apply the theory in a variety of application domains. This course starts with an overview of approaches and technologies that use event data to support decision making and business process (re)design. Then the course focuses on process mining as a bridge between data mining and business process modeling. The course is at an introductory level with various practical assignments. The course covers the three main types of process mining. 1. The first type of process mining is discovery. A discovery technique takes an event log and produces a process model without using any a-priori information. An example is the Alpha-algorithm that takes an event log and produces a process model (a Petri net) explaining the behavior recorded in the log. 2. The second type of process mining is conformance. Here, an existing process model is compared with an event log of the same process. Conformance checking can be used to check if reality, as recorded in the log, conforms to the model and vice versa. 3. The third type of process mining is enhancement. Here, the idea is to extend or improve an existing process model using information about the actual process recorded in some event log. Whereas conformance checking measures the alignment between model and reality, this third type of process mining aims at changing or extending the a-priori model. An example is the extension of a process model with performance information, e.g., showing bottlenecks. Process mining techniques can be used in an offline, but also online setting. The latter is known as operational support. An example is the detection of non-conformance at the moment the deviation actually takes place. Another example is time prediction for running cases, i.e., given a partially executed case the remaining processing time is estimated based on historic information of similar cases. Process mining provides not only a bridge between data mining and business process management; it also helps to address the classical divide between "business" and "IT". Evidence-based business process management based on process mining helps to create a common ground for business process improvement and information systems development. The course uses many examples using real-life event logs to illustrate the concepts and algorithms. After taking this course, one is able to run process mining projects and have a good understanding of the Business Process Intelligence field. After taking this course you should: - have a good understanding of Business Process Intelligence techniques (in particular process mining), - understand the role of Big Data in today’s society, - be able to relate process mining techniques to other analysis techniques such as simulation, business intelligence, data mining, machine learning, and verification, - be able to apply basic process discovery techniques to learn a process model from an event log (both manually and using tools), - be able to apply basic conformance checking techniques to compare event logs and process models (both manually and using tools), - be able to extend a process model with information extracted from the event log (e.g., show bottlenecks), - have a good understanding of the data needed to start a process mining project, - be able to characterize the questions that can be answered based on such event data, - explain how process mining can also be used for operational support (prediction and recommendation), and - be able to conduct process mining projects in a structured manner.
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By completing this beginner-friendly course, learners will be able to set up Python environments, manipulate data using NumPy, and create insightful visualizations with Matplotlib and Seaborn. Designed for those starting their journey in Artificial Intelligence, the course ensures students build a strong computational foundation before progressing to advanced AI concepts. Through step-by-step guidance, learners will first configure Anaconda Navigator and Jupyter Notebook for a seamless workflow, then apply NumPy for array functions, indexing, and filtering techniques essential in AI data handling. Moving forward, they will implement Matplotlib for basic plots and transition to Seaborn for high-level, visually appealing statistical visualizations, including scatter plots, heatmaps, and box plots. What makes this course unique is its practical, project-oriented approach that blends setup, numerical computation, and data visualization into one cohesive learning path. By the end, learners will have both the technical skills and the confidence to explore real-world AI projects, effectively preparing them for more advanced machine learning and deep learning studies.
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In this course, you'll continue developing your data-reporting skills in Crystal Reports by using creating, editing, and filtering data in reports. You'll also build parameterized reports and group report data to make the process of interpreting data easier. This is the second course in a multi-course Specialization. All of the courses in this Specialization require that you have SAP Crystal Reports 2020 installed. You also need to have an installation of Office 2019 apps or later, particularly Access. The course setup instructions provided in the first course go into more detail about the hardware and software requirements.
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With Network Load Balancer, you can handle millions of requests per second while maintaining ultralow latencies and handling sudden and volatile traffic patterns. In this course, you will discover the benefits and technical concepts of Network Load Balancer. You will learn how to start using Network Load Balancer through a demonstration with the AWS Management Console. You will also learn about the Network Load Balancer architecture and how built-in features can help you simplify TCP and User Datagram Protocol (UDP) load balancing.
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Do you have a dream client? Are you wondering why the dream clients don't appear in reality? In this course, we'll turn that dream client into a real clients! We'll use two strategies to do that: inbound marketing and outbound marketing to only carefully chosen, ideal companies. INBOUND MARKETING We'll go over SEO and content-creation strategies that will get the right clients to discover your business, and come to you when they are ready to buy, so you have to do nearly no sales. OUTBOUND MARKETING AND SALES OUTREACH TO ONLY IDEAL COMPANIES Many entrepreneurs or people doing B2B sales focus on sales outreach. But sales outreach can be spammy and unwanted by your sales prospects. With ABM (Account Based Marketing), we focus on first identifying ideal companies to reach out to, and creating personalized pitches to them to make it feel natural CREATE OFFERINGS FOR WHALES If an ultra-wealthy company came to you, do you have enough things to sell to them in order to make your financial dreams come true? We'll also discuss how to create sales offerings, upsells, and bigger sales packages so when ideal clients come to you, they can spend to their maximum potential. Invest in your future! Enroll today!
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