Build dynamic dashboards and interactive data visualizations using Python, then deploy them online to demonstrate your skills to potential employers.
This course equips you with the knowledge and practical skills to gather, manipulate, and analyze real-world datasets through comprehensive hands-on projects. The curriculum begins with essential Python data manipulation libraries such as NumPy and Pandas, then progresses to visualization solutions with a strong emphasis on creating compelling and informative visual presentations. You will master both traditional visualization tools, including Matplotlib and Seaborn, as well as modern interactive platforms like Plotly and Dash Enterprise, which enable you to build sophisticated, dynamic dashboards that effectively communicate data insights.
Throughout the course, you gain practical experience by completing real-world projects that you can deploy online using Heroku servers and GitHub repositories. Publishing an analytical project on GitHub demonstrates your proficiency with professional data science techniques and fulfills key requirements for technical employment. Employers review your coding methodology and analytical approaches through these public portfolios, making hands-on project experience a critical component of career development in data science.
Each course day follows a structured two-part format. The first part introduces new concepts and techniques through direct instruction and explanation. The second part immediately applies these concepts to a project you select, whether based on your professional field, personal interests, or academic pursuits. Throughout this process, your instructor assists with identifying appropriate datasets, teaching industry best practices, and providing guidance on writing efficient and professional code.
Required Prior Knowledge: You must complete the Python for Data Science Bootcamp before enrolling in this course. This prerequisite ensures you have the foundational Python skills and data science knowledge necessary for success.
Learn more about Python Data Visualization & Interactive Dashboards at Practical Programming.
