Enroll Course: https://www.udemy.com/course/data-visualization-com-python-biblioteca-plotly/
In the ever-evolving world of data science, the ability to effectively communicate insights through visual representation is paramount. If you’re looking to elevate your data storytelling skills, the “Data Visualization com Python: biblioteca Plotly” course on Udemy is an absolute game-changer. This course, taught entirely in Portuguese, provides a deeply practical approach to creating dynamic and professional-grade visualizations using the powerful Plotly library.
What sets this course apart is its hands-on methodology. From the get-go, you’ll be diving into real-world datasets, learning to craft a variety of essential chart types. The curriculum thoughtfully covers line charts, bar charts, pie charts, statistical graphics like histograms, distplots, boxplots, and heatmaps, as well as scatter plots, bubble charts, and even financial data visualizations. Crucially, the course doesn’t just show you *how* to create these charts, but also provides the essential intuition on *when* to use each type within a data science project, a critical aspect often overlooked in other resources.
For those new to Python, the course includes a valuable review section covering fundamental concepts of NumPy and Pandas. This is incredibly helpful as these libraries are integral to data manipulation and array creation throughout the course. You’ll gain practical experience through compelling projects, including visualizing asset prices over time, exploring the Human Development Index (IDHM) of Brazilian states using IBGE data, and conducting a statistical analysis of the Kaggle Students Performance dataset.
The commitment to ongoing learning is also a major plus. The course promises weekly updates, ensuring you stay current with the latest Plotly features, including maps and graphics for machine learning. A comprehensive E-book on Python fundamentals, covering everything from basic variables and data types to control flow and data structures, is also provided, making it an excellent resource for beginners.
By the end of this course, you’ll be equipped to produce high-standard, professional visualizations that can significantly enhance your data analysis and presentation capabilities. The practical projects and the focus on the ‘why’ behind each visualization make this a highly recommended course for anyone serious about mastering data visualization with Python.
Enroll Course: https://www.udemy.com/course/data-visualization-com-python-biblioteca-plotly/