Google Gemini AI for Data Analysis Training in Dhaka, Bangladesh

This course introduces data analysts, business intelligence professionals, and data-driven decision-makers to Google Gemini AI, focusing on how it can be used to analyze, summarize, and interpret data using natural language prompts and integrated tools within the Google Cloud ecosystem. The course includes practical labs to work hands-on with Gemini, using datasets and real analysis workflows

Introduction and Fundamentals for Data Analysis

Introduction to Google Gemini for Data Workflows

• Overview of Gemini and multimodal capabilities
• Comparison with traditional BI tools and LLMs
• Gemini in Google Cloud and Workspace
• Data analysis use cases (e.g., summarization, forecasting, reporting)

Prompting for Data Understanding

• Prompt engineering basics for analysts
• Asking questions of data using natural language
• Interpreting structured and unstructured responses
• Use cases: KPI explanations, trend insights, anomaly descriptions

Using Gemini in Google Sheets and Docs

• Gemini capabilities in Sheets and Docs
• Auto-generating insights, formulas, and summaries
• Writing reports and explanations from data
• Embedding data context in generated text

Advanced Techniques and Automation

Advanced Prompting for Exploratory Analysis

• Context-aware prompting with larger datasets
• Layered prompting (refine, drill-down, summarize again)
• Generating business recommendations from data patterns
• Handling ambiguous or missing data intelligently

Multimodal Use Cases and Data Storytelling

• Using Gemini to interpret text, charts, and tables
• Generating explanations for graphs and dashboards
• Creating narrative reports from analytics presentations
• Converting insights into stakeholder-friendly formats

Responsible AI in Data Analysis

• Bias and misinterpretation risks in AI-generated insights
• Verifying outputs and adding human oversight
• Ethical use of generative AI in reporting and decision support
• Transparency and auditability of Gemini-generated content

Final Assessment and Wrap-Up

• Quiz and group project presentations
• Review of tools and techniques learned
• Feedback and course evaluation
• Distribution of certificates