Gather and export data in Microsoft Excel

Create charts in Microsoft Excel

Generate report in Microsoft Excel

Analyze the role of storytelling in data visualization to enhance audience engagement and facilitate deeper understanding.

Design and synthesize effective, persuasive data visualizations by applying advanced design principles and storytelling techniques.

Evaluate and interpret data critically for accuracy, relevance, and potential biases to ensure integrity and objectivity in narratives.

Demonstrate the ability to select and effectively use various tools and software for developing engaging and visually appealing data stories.

Transform raw data into strategic stories using the storytelling arc (setup, insight, action) to drive clear, audience-focused communication.

Design purposeful Power BI and Tableau dashboards using layout, visual hierarchy, and interactivity to steer leadership decisions.

Select the right visuals and tools (filters, tooltips, annotations, story points) to highlight what matters most in business conversations.

Present dashboards with confidence to executives and stakeholders by leading insight-driven walkthroughs and anticipating business questions.

Learn to analyze Time series data using different tasks

Learn to analyze boxplots, linecharts and barcharts

Learn to work with plotly python module

Explain the importance of data visualization in data analysis and interpretation.

Create basic plots using Seaborn to visualize data distributions and relationships.

Utilize advanced statistical plots in Seaborn for in-depth data analysis and exploration.

Customize and enhance Seaborn visualizations to effectively communicate insights from data.

Understand python programming fundamentals for data visualization

Leverage the power of Matplotlib and Seaborn

Plot histograms, countplots, scatterplots, and line plots

Identify specific scenarios where GenAI can be applied in BI tasks such as data exploration, analysis and visualization.

Assessing the impact of GenAI on actual BI operations to identify efficiency improvements, cost reductions and enhanced insights.

Addressing Bias and Equity; Delve into the issue of bias within GenAI models and its impact on data analysis and decision making.