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Data Analyst

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Learn the most in-demand Skills with Mapt | Powered by Packt ® Big Data Strategies to Transform Your Business. Course Syllabus Skip Syllabus Description Week 1:1. Challenges and Opportunities of big data 1.1 Big data in the digitalized knowledge economy 1.2 Are firms ready for big data? 1.3 The machine learning revolution Week 2:2. Stakeholders and Sectors 2.1 Stakeholders: Private or public goals 2.2 Sectors: Disruptive or incremental changes induced by big data 2.3 Assignment Part AWeek 3:3.

Big data upending strategy and innovation 3.1 Conventional wisdom on strategy and innovation 3.2 Wisdom considering the disruptive power of big data 3.3 Assignment Part BWeek 4:4. Transforming building blocks of the business model canvas 4.1 What does big data mean for the different building blocks of the business model canvas? 4.2 Examples 4.3 Assignment Part CWeek 5:5. Miríadax - Business intelligence y Big Data son dos de los principales puntales de la actual revolución tecnológica.

La cantidad de datos generados por la sociedad de la información crece día a día, y continuará creciendo debido a la explosión de las redes sociales, las ciudades inteligentes (Smart Cities), los datos masivos (Big Data), los dispositivos móviles, los sensores, etc. Este incremento exponencial del volumen de datos hace imprescindible el uso de sistemas que sean capaces de analizarlos y convertirlos en información útil. Por este motivo, nuestra sociedad, nuestras empresas e instituciones necesitan integrar inteligencia dentro de los procesos organizativos y de decisión, y esto implica incorporar herramientas de business analytics o smart data.

Datos para la efectividad de las políticas públicas. En esta era de la información, los datos están disponibles en todos lados y crecen a una tasa exponencial. ¿Cómo podemos darle sentido a todos los datos y aprovecharlos en el momento de tomar decisiones? , ¿Cómo los utilizamos para que nos ayuden a guiar la gestión y planificación de nuestras políticas? Tanto si eres ciudadano como planificador de políticas, deberías poder responder a estas preguntas. En este curso podrás fortalecer tus capacidades de uso, comprensión e interpretación de datos, utilizando la plataforma desarrollada por el BID “Números para el Desarrollo”, que presenta datos e indicadores socioeconómicos de la región de América Latina y el Caribe. Al finalizar el curso, contarás con instrumentos para navegar entre los datos, realizar e interpretar visualizaciones y comprender los diferentes tipos de análisis de datos según la política a implementar.

Alliance for Networking Visual Culture » Overview. Scalar received an “Excellent” rating and an Editor’s Choice nod from PCMag.com. Specializing in richness, depth, experimentation, and understanding. Scalar is a free, open source authoring and publishing platform that’s designed to make it easy for authors to write long-form, born-digital scholarship online. Scalar enables users to assemble media from multiple sources and juxtapose them with their own writing in a variety of ways, with minimal technical expertise required.

More fundamentally, Scalar is a semantic web authoring tool that brings a considered balance between standardization and structural flexibility to all kinds of material. It includes a built-in reading interface as well as an API that enables Scalar content to be used to drive custom-designed applications. Scalar also gives authors tools to structure essay- and book-length works in ways that take advantage of the unique capabilities of digital writing, including nested, recursive, and non-linear formats. Algorithms and Data Structures. Omitir la presentación principal de MicroMasters Program Una serie de cursos con la posibilidad de obtener créditos académicos y con reconocimiento del sector profesional. This MicroMasters program is a mix of theory and practice: you will learn algorithmic techniques for solving various computational problems through implementing over one hundred algorithmic coding problems in a programming language of your choice.

No other online course in Algorithms even comes close to offering you a wealth of programming challenges that you may face at your next job interview. To prepare you, we have invested thousands of hours designing challenges as an alternative to multiple choice questions that you usually find in MOOCs. We believe in learning through application, especially when it comes to learning algorithms. Perspectiva de trabajo The median salary for Software Development jobs in the US is $100,690 per year. Impacto real en la carrera profesional Lo que aprenderás: NP-Complete Problems Profesores.

Knowledge Management and Big Data in Business. The business landscape is changing so rapidly that traditional management, business and computing courses do not meet the needs for the next generation of workers in the business world. Most traditional methods are of a repetitive, rule-based nature and will be gradually replaced by Artificial Intelligence. In the knowledge era, the most value added job will be to manage knowledge, which includes how knowledge is created, mined, processed, shared and reused in different trades and industry.

At the same time, the amount of data and information (prerequisites of knowledge) is exploding exponentially. By 2020, IDC projects that the size of the digital universe will reach 40 zetabytes from all sources including, websites, weblog, sensors, and social media. Big data will transform how we live, work and even think. What is knowledge management? The course is offered by the Knowledge Management and Innovation Research Center (KMIRC) of the Hong Kong Polytechnic University. Business Statistics and Analysis. Survey Data Collection and Analytics. Advanced Business Analytics. Data Analysis and Interpretation. Data Science at Scale. Business Analytics. Advanced Business Analytics. Knowledge Management and Big Data in Business. Learn to Code for Data Analysis. The course does not assume prior experience in programming or data analysis. Basic familiarity with a spreadsheet application will be an advantage.

The course does not require any knowledge of statistics, but you need to have basic numeracy skills, like writing arithmetic expressions, using percentages and understanding scientific notation. If you wish to brush up on your numeracy skills, we recommend the FutureLearn course Basic Science: Understanding Numbers from The Open University. To study this course you will use specialist software.

You can use the software online, via a free account on a website, or offline, by downloading and installing a free software package. The offline software has no limitations and is the recommended option. Whether you choose the online or offline software option, you will need to be proficient in basic computer tasks, like creating folders, downloading files and copying them to specific folders, etc. Introduction to Web Analytics.

Data and Analytics Full Courses – Bundle! - eduCBA. Advanced Business Analytics. Miríada X - ¿Te gustaría descubrir cómo interpretar los datos digitales de manera creativa? ¡Estás en el lugar adecuado para ello! La analítica web no es sólo aprender una serie de herramientas que nos pueden ayudar a conocer qué pasa en nuestra web y qué tenemos que hacer para mejorarla, es aprender una actitud y trabajar una de nuestras capacidades más complejas, pero más apasionantes a la vez: el análisis. Para ser un buen analista hace falta un poco de creatividad, un poco de matemáticas y, sobre todo, mucha vocación de negocio, para encontrar el equilibrio entre los datos cuantitativos y los datos cualitativos que veremos en la analítica web.

A lo largo de este curso, y a través de actividades de tipo resolutivo (mucha práctica y mucho análisis, sobre todo), entenderemos que la analítica web no es sólo extraer datos sino interpretarlos correctamente. ¡Lo tienes muy fácil! Inscríbete en este curso de “Analítica Web” para conseguir el objetivo. Para ello y para obtener más información pincha aquí.

How to Become a Data Scientist - Career Advice. Data Analyst Nanodegree. Learn to Code for Data Analysis - Online Course. Data Analysis & Visualization with Excel. A series of career-oriented courses to develop in-demand skills. Advanced data analysis skills are highly sought by data-driven organizations who wish to harness data to improve business results. This program will help you become a resourceful and independent data analyst who can help organizations reach their goals. It will cover the main tasks of skillful data analysts – Data importing, cleaning, wrangling, interpreting and visualizing, with special emphasis on real-time dashboards. You will learn advanced techniques and touch upon data science principles with Excel and external plugins.

This program consists of two courses, a basic and an intermediate course. The program will suit practicing professionals who are interested in learning new techniques and tools in Excel to become more productive and efficient. Competitive Advantage - Online Course. Apple, Facebook and Google are three of today’s most vibrant companies.

And they have something in common: they understand that the value of their business is built on what they know about their business and their customers, and this gives them their competitive advantage. Information is the key to contemporary business success. Learn how information can give you a competitive edge This online course looks at the value of information to businesses and how using what you know can give you a competitive advantage. You will: Learn from the business experts Deakin University’s Business School is a global leader in business and management education. Take your learning to the next stage This course is a free introduction to a Deakin University postgraduate degree in Information technology and Cyber security which can be studied wholly online on FutureLearn.

How to become a data scientist. Miríada X - Big Data: Mathematical Modelling - Online Course. <p>Unable to play video. Please enable JavaScript or consider upgrading your browser. </p> Captions Settings Dialog Beginning of dialog window. Escape will cancel and close the window. 0:07Skip to 0 minutes and 7 secondsHi everyone and welcome to our Big Data Analytics collection of courses. My name is Kerrie Mengersen. 0:21Skip to 0 minutes and 21 secondsWell, let me paint a picture for you: imagine you’re a marketing analyst for a big company about to launch a brand new product. 1:07Skip to 1 minute and 7 seconds We can use mathematics to not only effectively store and manage data, but to efficiently analyse it and extract information that is not immediately obvious.

The 9 Best Free Online Big Data And Data Science Courses. Analytics: Essential Tools and Methods. The Analytics Edge. In the last decade, the amount of data available to organizations has reached unprecedented levels. Data is transforming business, social interactions, and the future of our society. In this course, you will learn how to use data and analytics to give an edge to your career and your life. We will examine real world examples of how analytics have been used to significantly improve a business or industry. These examples include Moneyball, eHarmony, the Framingham Heart Study, Twitter, IBM Watson, and Netflix.

Through these examples and many more, we will teach you the following analytics methods: linear regression, logistic regression, trees, text analytics, clustering, visualization, and optimization. We will be using the statistical software R to build models and work with data. The contents of this course are essentially the same as those of the corresponding MIT class (The Analytics Edge). Big Data: from Data to Decisions - Online Course. Analytics: Essential Tools and Methods. The Analytics Edge. Home — giorgialupi. Over the fifty-two weeks, the collecting of data about our lives became a kind of ritual. We would spend the week noticing and noting down our activities or thoughts, before translating this information into a hand-drawn visualization. On the front of the postcard there would be a unique representation of our weekly data, and, on the other side (in addition to the necessary postage and address), we would squeeze in detailed keys to our drawings: the code to enable the recipient to decipher the picture, and to fantasize about what had happened to her new friend the week before.

We prefer to approach data in a slower, more analogue way. We’ve always conceived Dear Data as a “personal documentary” rather than a quantified-self project which is a subtle – but important – distinction. Instead of using data just to become more efficient, we argue we can use data to become more human and to connect with ourselves and others at a deeper level. Datathon Oficial. Cientificas. Convocatoria Datathon Latam 2017: La primera competencia online de analítica de datos abiertos | Mprende.co. Hasta el próximo 21 de mayo estarán abiertas las pre inscripciones de Datathon Latam 2017 la primera competencia online de analítica de datos abiertos en América Latina organizado por Científicas de Datos. Se premiará los dos primeros lugares de cada categoría, ofreciendo 7.000USD a los primeros lugares y 3.500 USD a los segundos lugares. Entregando también premios de diferentes patrocinadores a lo largo del desarrollo de la competencia. La competencia que tiene como fin obtener información valiosa para la región y las empresas participantes, al objeto de promover el desarrollo y generación de ideas y soluciones en el ámbito de Big Data, small data y ciencia de datos a través del tratamiento de la información y la generación de propuestas de valor para la sociedad, instituciones públicas y empresas.

El desarrollo de la competencia se llevará a cabo a través de dos categorías: modelos predictivos y visualizaciones. Data Analytics for Business Bootcamp - University of Colorado Boulder. Data | The World Bank. Data to Insight: Data Analysis and Visualization. David McCandless: The beauty of data visualization. Business Statistics and Analysis - Rice University. Programming for Data Science. Microsoft Professional Program Certificate in Data Science.

Executive Data Science. Programming for Data Science. Data Science at Scale - University of Washington. Big Data - University of California, San Diego. DataCamp: Learn R, Python & Data Science Online.

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Python. SQL. R. Coursera - Data Science Specialization.