Important: The focus of this course is on math - specifically, data-analysis concepts and methods - not on Excel for its own sake. We use Excel to do our calculations, and all math formulas are given as Excel Spreadsheets, but we do not attempt to cover Excel Macros, Visual Basic, Pivot Tables, or other intermediate-to-advanced Excel functionality.
Informações sobre o curso
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Resultados de carreira do aprendiz
23%
comecei uma nova carreira após concluir estes cursos
21%
consegui um benefício significativo de carreira com este curso
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Aprox. 21 horas para completar
Inglês
Legendas: Inglês
Habilidades que você terá
Binary ClassificationData AnalysisMicrosoft ExcelLinear Regression
Resultados de carreira do aprendiz
23%
comecei uma nova carreira após concluir estes cursos
21%
consegui um benefício significativo de carreira com este curso
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Aprox. 21 horas para completar
Inglês
Legendas: Inglês
oferecido por
Universidade Duke
Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.
Programa - O que você aprenderá com este curso
1 hora para concluir
About This Course
This course will prepare you to design and implement realistic predictive models based on data. In the Final Project (module 6) you will assume the role of a business data analyst for a bank, and develop two different predictive models to determine which applicants for credit cards should be accepted and which rejected. Your first model will focus on minimizing default risk, and your second on maximizing bank profits. The two models should demonstrate to you in a practical, hands-on way the idea that your choice of business metric drives your choice of an optimal model.The second big idea this course seeks to demonstrate is that your data-analysis results cannot and should not aim to eliminate all uncertainty. Your role as a data-analyst is to reduce uncertainty for decision-makers by a financially valuable increment, while quantifying how much uncertainty remains. You will learn to calculate and apply to real-world examples the most important uncertainty measures used in business, including classification error rates, entropy of information, and confidence intervals for linear regression. All the data you need is provided within the course, and all assignments are designed to be done in MS Excel. The course will give you enough practice with Excel to become fluent in its most commonly used business functions, and you’ll be ready to learn any other Excel functionality you might need in future (module 1). The course does not cover Visual Basic or Pivot Tables and you will not need them to complete the assignments. All advanced concepts are demonstrated in individual Excel spreadsheet templates that you can use to answer relevant questions. You will emerge with substantial vocabulary and practical knowledge of how to apply business data analysis methods based on binary classification (module 2), information theory and entropy measures (module 3), and linear regression (module 4 and 5), all using no software tools more complex than Excel.
1 hora para concluir
2 vídeos (Total 11 mín.), 2 leituras
2 leituras
Specialization Overview10min
Course Overview10min
2 horas para concluir
Excel Essentials for Beginners
In this module, will explore the essential Excel skills to address typical business situations you may encounter in the future. The Excel vocabulary and functions taught throughout this module make it possible for you to understand the additional explanatory Excel spreadsheets that accompany later videos in this course.
2 horas para concluir
8 vídeos (Total 52 mín.), 1 leitura, 2 testes
8 videos
Basic Excel Vocabulary; Intro to Charting7min
Arithmetic in Excel2min
Functions on Individual Cells3min
Functions on a Set of Numbers10min
Functions on Ordered Pairs of Data8min
Sorting Data in Excel5min
Introduction to the Solver Plug-in8min
1 leituras
Tips for Success10min
2 exercícios práticos
Excel Essentials Practice30min
Excel Essentials30min
2 horas para concluir
Binary Classification
Separating collections into two categories, such as “buy this stock, don’t but that stock” or “target this customer with a special offer, but not that one” is the ultimate goal of most business data-analysis projects. There is a specialized vocabulary of measures for comparing and optimizing the performance of the algorithms used to classify collections into two groups. You will learn how and why to apply these different metrics, including how to calculate the all-important AUC: the area under the Receiver Operating Characteristic (ROC) Curve.
2 horas para concluir
6 vídeos (Total 46 mín.), 1 leitura, 2 testes
6 videos
Bombers and Seagulls: Confusion Matrix8min
Costs Determine Optimal Threshold4min
Calculating Positive and Negative Predictive Values5min
How to Calculate the Area Under the ROC Curve11min
Binary Classification with More than One Input Variable7min
1 leituras
Tips for Success10min
2 exercícios práticos
Binary Classification (practice)30min
Binary Classification (graded)45min
2 horas para concluir
Information Measures
In this module, you will learn how to calculate and apply the vitally useful uncertainty metric known as “entropy.” In contrast to the more familiar “probability” that represents the uncertainty that a single outcome will occur, “entropy” quantifies the aggregate uncertainty of all possible outcomes.
2 horas para concluir
7 vídeos (Total 42 mín.), 1 leitura, 2 testes
7 videos
Probability and Entropy7min
Entropy of a Guessing Game7min
Dependence and Mutual Information3min
The Monty Hall Problem8min
Learning from One Coin Toss, Part 15min
Learning From One Coin Toss, Part 28min
1 leituras
Tips for Success10min
2 exercícios práticos
Using the Information Gain Calculator Spreadsheet (practice)30min
Information Measures (graded)45min
3 horas para concluir
Linear Regression
The Linear Correlation measure is a much richer metric for evaluating associations than is commonly realized. You can use it to quantify how much a linear model reduces uncertainty. When used to forecast future outcomes, it can be converted into a “point estimate” plus a “confidence interval,” or converted into an information gain measure. You will develop a fluent knowledge of these concepts and the many valuable uses to which linear regression is put in business data analysis. This module also teaches how to use the Central Limit Theorem (CLT) to solve practical problems. The two topics are closely related because regression and the CLT both make use of a special family of probability distributions called “Gaussians.” You will learn everything you need to know to work with Gaussians in these and other contexts.
3 horas para concluir
11 vídeos (Total 73 mín.), 1 leitura, 3 testes
11 videos
Introduction to Standardization4min
Standard Normal Probability Distribution in Excel7min
Calculating Probabilities from Z-scores4min
Central Limit Theorem3min
Algebra with Gaussians6min
Markowitz Portfolio Optimization12min
Standardizing x and y Coordinates for Linear Regression6min
Standardization Simplifies Linear Regression9min
Modeling Error in Linear Regression10min
Information Gain from Linear Regression5min
1 leituras
Tips for Success10min
3 exercícios práticos
The Gaussian (practice)30min
Regression Models and PIG (practice)45min
Parametric Models for Regression (graded)45min
Avaliações
Principais avaliações do DOMINANDO A ANÁLISE DE DADOS EM EXCEL
por JE30 de Out de 2015
The course deserves a 5-star rating because: (1) content is relevant, (2) the professor is concise and possesses great teaching skills, and (3) the learning modules are applicable to daily problems.
por MC27 de Fev de 2016
Highly useful and practical course. it can be a bit challenging for Uni graduate from irrelevant field. the First course and the visualisation course from this series of specialisation is okay .
por NC19 de Dez de 2016
Overall, the course material is good with many example. Need a general knowledge with mathematical and statistical from the beginning to pass the exam, because course slide is a little bit fast.
por JL14 de Abr de 2018
This course is worth taking by anyone who needs to have a better understanding of how the most efficient and best decisions in the market place are taken using Data management simply in Excel.
Sobre Programa de cursos integrados Excel para MySQL: técnicas analíticas para negóciosExcel para MySQL: Técnicas Analíticas para Negócios
Formulate data questions, explore and visualize large datasets, and inform strategic decisions.
In this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process.
The Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
- The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
- The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
O que recebo ao me inscrever nesta Especialização?
Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.
Qual é a política de reembolso?
Se você se inscrever, terá 7 dias para testar sem custo e, durante este período, pode cancelar sem multa. Depois disso, não reembolsamos, mas você pode cancelar sua inscrição a qualquer momento. Veja nossa política para o reembolso total.
Existe algum auxílio financeiro disponível?
Sim, a Coursera oferece auxílio financeiro ao aluno que não possa pagar a taxa. Faça a solicitação clicando no link Auxílio Financeiro, abaixo do botão "Inscreva-se" à esquerda. Preencha uma solicitação e será notificado caso seja aprovado. Você terá que completar esta etapa para cada curso na Especialização, incluindo o Trabalho de Conclusão de Curso. Saiba mais .
Will I receive a transcript from Duke University for completing this course?
No. Completion of a Coursera course does not earn you academic credit from Duke; therefore, Duke is not able to provide you with a university transcript. However, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Ganharei créditos universitários por concluir o curso?
Este curso não oferece créditos universitários, mas algumas universidades podem aceitar certificados de cursos que podem ser convertidos em créditos. Entre em contato com sua instituição para saber mais. Com os cursos on-line e os certificados Mastertrack™ do Coursera, é possível ganhar créditos universitários.
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