Bootcamp Cientista de Dados: 10 aplicações Web Completas
Build 10 data science & AI web apps with Shiny, no web programming needed! Learn practical applications of AI and data science easily.
Course Content
Bootcamp Cientista de Dados: 10 aplicações Web Completas is an all-levels Udemy course taught by Fernando Amaral. It runs 9h 45m, is taught in Portuguese, and includes a certificate of completion. Learners rate it 4.6 out of 5 from 321 reviews, with 2,854 students enrolled. It is a paid course, last updated May 2025.
Unlock the power of data science with R and Shiny! In this hands-on course, you'll learn to build powerful web applications for data analysis and predictive modeling – no prior web development experience required (HTML/CSS not needed!).
You'll step into the role of Marcos from ABC Analytics, implementing data-driven solutions. Using the intuitive RStudio IDE and the Shiny platform, you'll create interactive applications to solve real-world problems.
Here's a breakdown of the projects you'll develop, progressing in complexity:
Beginner-Friendly Projects:
- Predicting franchise opening costs ★☆☆☆☆
- Evaluating if data is normally distributed ★★☆☆☆
Intermediate Projects:
- Estimating future milk production for a dairy farm ★★★★☆
- Classifying vehicle quality based on characteristics ★★★★☆
- Evaluating the probability of equipment failure in a factory ★☆☆☆☆
- Exploring and investigating public datasets ★★☆☆☆
Advanced Projects:
- Creating an interactive recommendation system ★★★☆☆
- Building a benchmark application comparing 10 time series models ★★★★★
- Optimizing airline load scheduling for increased profitability ★★★★★
- Creating a Career Mentor in Data Science using Artificial Intelligence ★★★★☆
Each project includes:
- Clear problem statement
- Data science theory and methodology
- Complete code implementation
- Basic R course for beginners (no R proficiency needed!)
Plus, download complete slides and scripts to continue your learning journey. This course is perfect for anyone looking to leverage data science, R programming, and Shiny apps to gain valuable insights and build impactful solutions.
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