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Álvaro Chacón and Tomás Reyes

Con este curso de: Mejores decisiones con Business Analytics, lograremos identificar su importancia, tipos y aplicaciones en el desarrollo actual de los negocios. Con este objetivo en mente, veremos los conceptos generales de Business Analytics y su evolución. También profundizaremos en la analítica descriptiva y su aplicabilidad. Conoceremos conceptos esenciales como el Data Aggregation, data Mining y la visualización de datos, entre muchos otros contenidos y herramientas esenciales para tomar las mejores decisiones en el actual mundo de los negocios.

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Con este curso de: Mejores decisiones con Business Analytics, lograremos identificar su importancia, tipos y aplicaciones en el desarrollo actual de los negocios. Con este objetivo en mente, veremos los conceptos generales de Business Analytics y su evolución. También profundizaremos en la analítica descriptiva y su aplicabilidad. Conoceremos conceptos esenciales como el Data Aggregation, data Mining y la visualización de datos, entre muchos otros contenidos y herramientas esenciales para tomar las mejores decisiones en el actual mundo de los negocios.

El curso está dirigido a profesionales del área de finanzas y negocios que quieran perfeccionar sus herramientas, así como a público general que quiera interiorizarse en este mundo y adquirir útiles conocimientos para aplicar en sus respectivos emprendimientos. Los invitamos a conocer más respecto del fascinante mundo del Bussiness Analytics.

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What's inside

Syllabus

Módulo 1: Business Analytics y aplicaciones
En este módulo te invitamos a conocer los conceptos generales de Business Analytics y su evolución. También, verás de forma introductoria los tipos de Business Analytics y conocerás su relevancia y aplicaciones en los ambientes laborales.
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Módulo 2: Analítica Descriptiva
En este módulo profundizarás sobre la analítica descriptiva y su aplicabilidad. Además, aprenderás sobre las fases y metodologías de este tipo de analítica como lo son el Data Aggregation, el Data Mining, y la visualización de datos.
Módulo 3: Analítica Predictiva
En este módulo aprenderás sobre la relevancia y el uso de la analítica predictiva, verás los tipos de modelos y herramientas que emplea la analítica predictiva en casos donde se presenta la incertidumbre. También, conocerás distintas formas de evaluar los modelos predictivos.
Módulo 4: Analítica Prescriptiva
En este módulo comprenderás los aspectos generales de la analítica prescriptiva, aprenderás sobre los tipos de decisiones a considerar en distintas situaciones y conocerás los tipos de modelos prescriptivos, su importancia y utilidad.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Trata sobre Business Analytics, el cual es básico en la industria
Enseña conceptos básicos de Business Analytics y su evolución
Enseña analítica descriptiva y su aplicabilidad
Enseña analítica predictiva y sus modelos
Enseña analítica prescriptiva y sus tipos de modelos

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Mejores Decisiones con Business Analytics with these activities:
Compile a business analytics resources repository
Enriches learning and provides easy access to valuable materials for future reference.
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  • Gather articles, tutorials, and industry reports on business analytics
  • Organize and curate resources in a digital or physical repository
Volunteer as a business analytics tutor
Solidifies understanding of course concepts while contributing to the learning of others.
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  • Join a peer tutoring program or volunteer at a local organization
  • Provide guidance and support to students with business analytics inquiries
Revise foundational business concepts
Reinforces prior knowledge on business management and economics to better prepare for advanced course topics.
Browse courses on Business Fundamentals
Show steps
  • Review notes and textbooks from previous business courses
  • Attend a refresher workshop or online course on business essentials
Three other activities
Expand to see all activities and additional details
Show all six activities
Explore data visualization techniques
Develops proficiency in presenting data effectively, enhancing understanding and decision-making abilities.
Browse courses on Data Visualization
Show steps
  • Follow online tutorials on data visualization tools and techniques
  • Experiment with different data visualization methods using sample datasets
Analyze business case studies
Strengthens analytical and problem-solving skills by applying course concepts to real-world scenarios.
Show steps
  • Read and analyze case studies provided in the course materials
  • Participate in online discussion forums to share insights and perspectives
Participate in business analytics competitions
Enhances problem-solving abilities and fosters collaboration while applying course knowledge in competitive settings.
Show steps
  • Identify relevant business analytics competitions or hackathons
  • Team up with peers or participate individually

Career center

Learners who complete Mejores Decisiones con Business Analytics will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts collect, clean, and analyze data to help organizations make informed decisions. They use their skills in data analysis to identify trends and patterns that can help businesses improve their operations. [Course Name] provides a strong foundation in data analysis, including modules on data aggregation, mining, and visualization.
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make informed decisions. They use their skills in data analysis to identify trends and patterns that can help businesses improve their operations. [Course Name] provides a strong foundation in business analytics, including modules on data aggregation, mining, and visualization.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to help businesses make informed decisions. They use their knowledge of business analytics to identify trends and patterns that can help businesses improve their operations. [Course Name] provides a strong foundation in business analytics, including modules on data aggregation, mining, and visualization.
Business Analyst
A Business Analyst is a professional who analyzes an organization or business domain to help the organization improve its performance. Business Analysts work with stakeholders to understand their needs and then use data to identify areas for improvement. [Course Name] can help Business Analysts understand how to gather and analyze this data with modules on Data Aggregation, Data Mining, and visualization of data.
Financial Analyst
Financial Analysts use data to evaluate the financial performance of businesses. They use their knowledge of business analytics to identify trends and patterns that can help investors make informed decisions. [Course Name] provides Financial Analysts with a strong foundation in business analytics and data visualization.
Management Consultant
Management Consultants help businesses improve their performance by providing advice on strategy, operations, and technology. They use their knowledge of business analytics to help clients identify areas for improvement and develop solutions. [Course Name] can help Management Consultants develop the skills they need to gather and analyze data, which can be used to develop insights for clients.
Risk Analyst
Risk Analysts use data to identify and assess risks that could impact a business. They use their knowledge of business analytics to develop strategies to mitigate these risks. [Course Name] can help Risk Analysts develop the skills they need to gather and analyze data, which can be used to identify and assess risks.
Product Manager
Product Managers are responsible for the development and launch of new products. They use their knowledge of business analytics to identify market opportunities and develop products that meet the needs of customers. [Course Name] can help Product Managers develop the skills they need to gather and analyze data, which can be used to make informed decisions about product development.
Market Research Analyst
Market Research Analysts use data to understand consumer behavior and trends. They use their knowledge of business analytics to identify potential customers and develop marketing strategies. [Course Name] can help Market Research Analysts develop the skills they need to gather and analyze data, which can be used to develop insights for clients.
Software Engineer
Software Engineers design, develop, and maintain software applications. They use their knowledge of software engineering to create software that meets the needs of users. [Course Name] provides a strong foundation in data analysis and visualization, which can be useful for Software Engineers who wish to develop data-driven applications.
Web Developer
Web Developers design, develop, and maintain websites. They use their knowledge of web development to create websites that are user-friendly and meet the needs of users. [Course Name] provides a strong foundation in data analysis and visualization, which can be useful for Web Developers who wish to develop data-driven websites.
Data Scientist
Data Scientists use data to build models and algorithms that can help businesses make informed decisions. They use their skills in data analysis, machine learning, and artificial intelligence to identify patterns and trends that can help businesses improve their operations. [Course Name] may be useful for Data Scientists who wish to enhance their understanding of business analytics and data visualization.
Data Engineer
Data Engineers design, build, and maintain data systems. They use their knowledge of data engineering to ensure that data is available, reliable, and secure. [Course Name] may be useful for Data Engineers who wish to enhance their understanding of business analytics and data visualization.
Statistician
Statisticians use data to understand the world around us. They use their knowledge of statistics to design and conduct studies, analyze data, and draw conclusions. [Course Name] may be useful for Statisticians who wish to enhance their understanding of business analytics and data visualization.
Operations Research Analyst
Operations Research Analysts use mathematical and analytical models to help businesses make informed decisions. They use data to identify problems and develop solutions that can improve efficiency and productivity. [Course Name] may be useful for Operations Research Analysts who wish to enhance their understanding of business analytics and data visualization.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Mejores Decisiones con Business Analytics.
Provides a clear and concise introduction to data analytics, making it a great choice for students who are new to the field. It covers a wide range of topics, including data collection, data cleaning, and data visualization.
Provides a comprehensive overview of predictive analytics, including its applications in marketing, finance, and healthcare. It would be a valuable resource for students who want to learn more about how to use data to make predictions.
Provides a comprehensive overview of data mining, including its algorithms and applications. It would be a valuable resource for students who want to learn more about how to use data mining to extract valuable information from data.
Provides a comprehensive overview of business intelligence, including its applications in decision-making. It would be a valuable resource for students who want to learn more about how to use business intelligence to improve their business decisions.
Provides a practical overview of business analytics, including its applications in various industries. It would be a valuable resource for students who want to learn more about how to use business analytics to improve their business performance.
Provides a clear and concise introduction to data analytics, making it a great choice for students who are new to the field. It covers a wide range of topics, including data collection, data cleaning, and data visualization.
Provides a comprehensive overview of data visualization, including its principles and techniques. It would be a valuable resource for students who want to learn more about how to use data visualization to communicate data effectively.
Provides a comprehensive overview of data mining, including its algorithms and applications. It would be a valuable resource for students who want to learn more about how to use data mining to extract valuable information from data.
Provides a comprehensive overview of data science, including its applications in various industries. It would be a valuable resource for students who want to learn more about how to use data science to solve real-world problems.

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