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. For those looking to dive into this exciting field, Coursera offers a fantastic course titled ‘Introducción a la ciencia de datos aplicada.’ This course serves as an excellent introduction to the fundamentals of data science, making it perfect for beginners and those looking to refresh their knowledge.
The course is structured into four comprehensive modules, each lasting one week, ensuring that students can absorb the material at a manageable pace.
**Module 1: Understanding Data Science and Data Scientists**
The first module sets the stage by defining data science and exploring its applications across various disciplines. It introduces two key methodologies: ASUM-DM and Design Thinking, which are essential for developing data science projects. The module concludes with a practical case study, allowing students to apply their newfound knowledge.
**Module 2: Exploratory Data Analysis**
In the second module, students learn the first tools for conducting exploratory data analysis. This includes understanding univariate statistics, measures of central tendency, and variability. The use of Jupyter Notebook for practical applications is a highlight, particularly with a case study focused on the retail sector and Airbnb, which helps solidify the concepts learned.
**Module 3: Bivariate Statistical Models**
The third module builds on the previous one by introducing bivariate analysis. Students explore correlation and learn how to analyze two quantitative variables simultaneously. The module also covers contingency tables and chi-square tests for categorical variables, providing a well-rounded understanding of statistical relationships.
**Module 4: Group Comparisons and Model Validation**
The final module emphasizes the importance of hypothesis testing and statistical significance in data science projects. Through selected case studies, students see firsthand why validating hypotheses is crucial for successful data analysis.
Overall, ‘Introducción a la ciencia de datos aplicada’ is an excellent course for anyone interested in entering the field of data science. The blend of theoretical knowledge and practical application makes it a valuable resource. Whether you’re a student, a professional looking to upskill, or simply curious about data science, this course is highly recommended.
Enroll today and start your journey into the fascinating world of data science!
Enroll Course: https://www.coursera.org/learn/introduccion-ciencia-de-datos-aplicada