Enroll Course: https://www.udemy.com/course/data-visualization-com-python-biblioteca-plotly/
If you’re looking to elevate your data visualization skills using Python, the ‘Data Visualization com Python: biblioteca Plotly’ course on Udemy is an excellent choice. This course offers a hands-on approach to creating dynamic and professional charts using the Plotly library, making complex data easily understandable and visually appealing.
Designed for both beginners and intermediate learners, the course begins with a quick review of essential Python libraries like NumPy and Pandas, ensuring that all students are on the same page before diving into visualization techniques. The core of the course focuses on building various types of graphs crucial for data analysis, including line charts, bar graphs, pie charts, histograms, heatmaps, scatter plots, bubble charts, and financial data visualizations.
What sets this course apart is its practical approach. Students will work on real datasets, such as stock prices, municipal Human Development Index (IDHM) data, and student performance datasets from Kaggle. Through these projects, you’ll learn not only how to generate different charts but also understand when to use each type effectively in data science projects.
Additionally, the course includes a comprehensive Python fundamentals e-book covering topics like variables, data types, operators, conditional structures, loops, and data structures, providing a solid foundation for learners new to Python.
The course is structured to release weekly lessons, gradually covering more advanced topics like maps and machine learning visualizations with Plotly. A capstone project challenges students to build a complete data visualization from scratch, ensuring practical mastery of the tools learned.
Overall, I highly recommend this course for anyone aiming to become proficient in data visualization with Python. Whether you’re a beginner or looking to refine your skills, the practical projects and clear explanations make it a valuable investment for your data science journey.
Enroll Course: https://www.udemy.com/course/data-visualization-com-python-biblioteca-plotly/