Data Science Applications in Modern Business
This course is part of Fundamentos de Ciencia de Datos con R.
This intermediate-level course focuses on applying data science techniques to solve real business challenges in the digital era. You'll harness the power of R programming to develop practical projects that address specific business problems. Data science involves extracting, preparing, analyzing, and visually presenting data to support decision-making processes. Among the various programming languages available for data science projects, R stands out as a popular, user-friendly option widely used for statistical analysis worldwide. Throughout this four-week course, you'll build a portfolio of business-relevant data science projects using R and RStudio. The curriculum guides you step-by-step through the various tools and techniques R offers for implementing data science solutions specifically tailored to digital-age businesses. Through hands-on exercises and practical activities, you'll enhance your software construction and data analysis skills. By the end of the course, you'll have developed a comprehensive portfolio of data science projects that demonstrates your expertise in the field. More importantly, you'll be equipped to implement data science solutions to address workplace challenges in business environments, making you a valuable asset in today's data-driven marketplace.
Instructors:
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What you'll learn
Develop a product recommendation system through data preparation and analysis Build a credit scoring evaluation system using R algorithms Implement automated analysis to define costs in real-time Generate R code to detect credit fraud Apply different data cleaning and exploratory analysis techniques Create predictive models using logistic regression for business applications Validate models using ROC analysis and root mean square techniques Build a comprehensive data science portfolio focused on business solutions
Skills you'll gain
This course includes:
PreRecorded video
Graded assessments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This practical course teaches you to develop four essential data science projects for modern businesses using R programming. The curriculum is structured around real-world business applications, with each module focused on building a specific business solution. In the first module, you'll learn data cleaning techniques and exploratory analysis methods to build a product recommendation system, comparing different recommendation approaches to select the most appropriate for your data. The second module focuses on fraud detection systems, teaching you to identify different fraud detection methodologies and develop models with appropriate evaluation metrics. In the third module, you'll create credit scoring models using logistic regression techniques to identify qualified loan candidates and validate your models using ROC analysis. The final module covers cost prediction, where you'll apply linear regression methods to forecast future costs and validate your models using root mean square (RMS) techniques. Throughout the course, you'll develop a comprehensive portfolio of data science projects specifically tailored to business applications, demonstrating your ability to implement data-driven solutions for modern business challenges.
Módulo 1. Desarrollo de sistema de recomendación de producto
Module 1
Módulo 2. Desarrollo de un sistema para la detección de fraudes
Module 2
Módulo 3. Desarrollo de modelo de puntaje crediticio
Module 3
Módulo 4. Desarrollo de modelo para predecir costos
Module 4
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Fundamentos de Ciencia de Datos con R
Payment options
Financial Aid
Instructor
1 Course
PhD at Universidad Anáhuac Online
Dr. José Carlos Soto Monterrubio holds a master's degree and doctorate in Computer Science from the Ciudad Madero Institute of Technology.He also earned a PhD in Computer Engineering from the University of Cádiz, Spain.
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