Enroll Course: https://www.coursera.org/learn/introduccion-ciencia-de-datos-aplicada
If you’re looking to break into the world of data science, Coursera’s ‘Introducción a la Ciencia de Datos Aplicada’ is a fantastic starting point. This course provides a comprehensive introduction to the fundamentals of data science, perfect for beginners who want to grasp the core concepts and methodologies.
**Course Overview**
The course is structured into four modules, each lasting one week. It begins with the essentials of data science and the characteristics that define a data scientist. You’ll also learn about the tools and methodologies used in the field, setting a strong foundation for your data science journey.
**Module Breakdown**
1. **Data Science and Data Scientists**: The first module lays the groundwork, covering the definition of data science and providing real-world examples of where it can be applied across various disciplines. You’ll also be introduced to methodologies like ASUM-DM and Design Thinking, which are vital for identifying analytical opportunities.
2. **Exploratory Data Analysis**: In the second module, you’ll dive into the tools and techniques for exploring data to extract meaningful insights. It focuses on univariate statistics and graphical representation, which are critical for hypothesis validation. Hands-on applications using Jupyter Notebook will be encouraged, specifically through practical cases like retail analysis and Airbnb.
3. **Analytical Models Based on Bivariate Statistics**: The third module challenges you to analyze relationships between two variables simultaneously. You’ll learn about correlation and how to utilize contingency tables and chi-square tests to analyze categorical variables. The practical implementation in context-specific scenarios will be emphasized again.
4. **Group Comparisons and Model Validation**: The final module focuses on hypothesis testing and the significance of statistical validation in project development. You’ll work through two selected cases demonstrating the need for rigorous testing to validate the hypotheses you’ve formed through your analysis.
**Conclusion**
This course is highly recommended for those who are just starting in data science and want a structured approach to learning key concepts and applications. Each module is well-crafted to build on the previous one, ensuring a smooth learning curve. By the end, students will be equipped with the skills to apply statistical techniques and develop analytical models, with practical knowledge that can be applied immediately in the workplace.
Whether you’re a complete novice or looking to refresh your skills, ‘Introducción a la Ciencia de Datos Aplicada’ is a valuable investment in your future in data science.
Enroll Course: https://www.coursera.org/learn/introduccion-ciencia-de-datos-aplicada