Ementorhub

What you'll learn

Apply Python, spreadsheets, and BI tooling proficiently to create visually compelling and interactive data visualizations.

Formulate and communicate data-driven insights and narratives through impactful visualizations and data storytelling.

Assess and select the most suitable visualization tools and techniques to address organizational data needs and objectives.

Skills you'll gain

Data Visualization

Data Storytelling

Microsoft Excel

Pandas (Python Package)

Seaborn

Data Manipulation

Matplotlib

Interactive Data Visualization

Plotly

Scatter Plots

Google Sheets

Tableau Software

Data Visualization Software

Dashboard

Histogram

There are 4 modules in this course

Throughout the course, a consistent dataset will be used for exercises, enabling you to focus on mastering the visualization tools rather than getting caught up in the intricacies of the data. The emphasis is on practical application, allowing you to learn and practice the tools in a real-world context. To fully leverage the Python sections of this course, prior experience programming in Python is recommended. Additionally, a solid understanding of high-school level math is expected. Familiarity with the Pandas library will also be beneficial. By the end of this course, you will possess the necessary skills to become a proficient data storyteller and visual communicator. With the ability to create compelling visualizations and leverage the appropriate tools, you will be well-equipped to navigate the world of data and make informed decisions that drive meaningful impact.

Pandas, Seaborn and Matplotlib

Plotly, Dash and Streamlit

Visualization with Cloud-Based Tools: Tableau and Amazon Quicksight