Enroll Course: https://www.coursera.org/learn/introduccion-ciencia-de-datos-aplicada
In today’s data-driven world, understanding data science is more crucial than ever. Coursera’s course ‘Introducción a la ciencia de datos aplicada’ offers a comprehensive introduction to this fascinating field. This course is designed for beginners and provides a solid foundation in data science principles, methodologies, and tools.
### Course Overview
The course consists of four modules, each lasting one week, covering essential topics that every aspiring data scientist should know.
1. **Data Science and Data Scientists**: The first module introduces the concept of data science, its applications across various disciplines, and the characteristics of a data scientist. You will learn about the ASUM-DM methodology for project development and the Design Thinking approach to identify analytical opportunities. A practical case study will help you apply your newfound knowledge.
2. **Exploratory Data Analysis**: In the second module, you will dive into exploratory data analysis using univariate statistics. You will learn about measures of central tendency, variability, and how to graphically represent data to validate business hypotheses. The use of Jupyter Notebook will be emphasized, with a focus on a retail case study and an Airbnb example to solidify your understanding.
3. **Bivariate Statistical Models**: The third module builds on the previous one by introducing bivariate analysis. You will explore correlation concepts and learn how to analyze two quantitative variables simultaneously. Additionally, you will study contingency tables and chi-square tests for categorical variables. Again, practical applications will be demonstrated through case studies in retail and Airbnb.
4. **Group Comparisons and Statistical Model Validation**: The final module focuses on hypothesis testing and the importance of validating statistical models. You will engage with two selected cases that illustrate the necessity of proper hypothesis validation in data science projects.
### Why You Should Take This Course
This course is an excellent starting point for anyone interested in data science. It not only covers theoretical concepts but also emphasizes practical applications, making it ideal for learners who want to gain hands-on experience. The use of real-world case studies, particularly in the retail and Airbnb sectors, helps contextualize the material and demonstrates the relevance of data science in various industries.
### Conclusion
If you’re looking to embark on a journey into the world of data science, ‘Introducción a la ciencia de datos aplicada’ on Coursera is highly recommended. With its structured approach, practical insights, and comprehensive coverage of essential topics, this course will equip you with the foundational skills needed to succeed in the field of data science. Don’t miss the opportunity to enhance your analytical skills and open new career paths in this exciting domain!
Enroll Course: https://www.coursera.org/learn/introduccion-ciencia-de-datos-aplicada