Enroll Course: https://www.udemy.com/course/dashboard-com-streamlit/
In today’s data-driven world, the ability to transform raw data into actionable insights is paramount. As companies grapple with an explosion of data – 50 times more than a decade ago, with 90% of it unstructured – the demand for skilled data scientists continues to soar, with job growth averaging 37% annually. To stand out in this competitive field, a robust portfolio showcasing practical skills is essential. That’s where the Udemy course, ‘Dashboard Analítico Passo-a-Passo em STREAMLIT e PYTHON’ (Step-by-Step Analytical Dashboard in STREAMLIT and PYTHON), comes in.
This course is designed to equip aspiring and current data scientists with the skills to build dynamic and visually appealing analytical dashboards using Python and the Streamlit framework. Streamlit is lauded as one of the best web-based graphical libraries, making complex data visualization accessible and efficient.
The course is meticulously structured into eight sections, guiding learners from environment setup to building a complete sales dashboard from scratch:
* **Section 1: Environment Setup:** Get your workspace ready with necessary applications and library installations.
* **Section 2: Text Manipulation in Streamlit:** Learn how to effectively display and manipulate text elements within your Streamlit applications.
* **Section 3: Mastering Data Manipulation with Pandas:** Dive deep into Pandas to handle, extract, and mine data from datasets, a fundamental skill for any data scientist.
* **Section 4: Creating Engaging Visualizations with Altair:** Understand how to configure and present charts using the Altair library, transforming abstract data into valuable business intelligence.
* **Section 5: Leveraging Streamlit Widgets:** Master interactive elements like buttons, checkboxes, radio buttons, multi-selection, sliders, and more to enhance user experience.
* **Section 6: Advanced Streamlit Elements:** Explore media elements (images, audio, video), and create impressive sidebars and menus.
* **Section 7: Customizing Streamlit Applications:** Learn advanced techniques to tailor your applications to specific needs and branding.
* **Section 8: Building a Sales Dashboard:** Apply all learned concepts by building a complete sales dashboard, from data extraction to visual representation.
**Review and Recommendation:**
‘Dashboard Analítico Passo-a-Passo em STREAMLIT e PYTHON’ is an excellent resource for anyone looking to enhance their data visualization and dashboarding skills. The step-by-step approach makes it accessible even for those new to Streamlit. The course effectively combines theoretical knowledge with practical application, particularly through the use of Pandas for data manipulation and Altair for charting. The focus on interactive widgets and customization ensures that learners can build professional-grade dashboards. The final project, a sales dashboard, serves as a perfect capstone, consolidating all the learned skills. This course is highly recommended for data scientists, analysts, and anyone who wants to present data insights in a clear, interactive, and impactful way. It’s a valuable addition to any data professional’s toolkit, significantly boosting portfolio appeal and practical capabilities.
Enroll Course: https://www.udemy.com/course/dashboard-com-streamlit/