
Explore an Excel project with multiple sheets, data validations, and transaction tracking that integrates income, expenses, categories, and subcategories via dropdowns.
Explore how to configure data validation for income and expense categories, set sources and subcategories, adjust currency, and generate analytics reports with charts and visualizations.
Analyze personal finances with gen AI tools by separating income sources such as investments and salaries, using percentile analysis and conditional formatting to visualize expenses by category.
Explore how to create and customize reporting charts that visualize income, expenses, and percentages, with data labels and color-coded ranges to enhance client-focused insights.
Create a concise income and expense summary report, highlighting balances and transactions with conditional formatting, while applying exploratory data analysis for clear bank account insights.
Learn to analyze IMDb data sets with SQLite and SQL queries in Xcode or Colab, reading CSV, Excel, or DB files, and extracting movie reviews, directors, and genres.
Demonstrate advanced database querying on a movie dataset, employing nested queries, joins, set operations, and grouping to analyze directors, actors by year, and female film counts.
Explore data analytics with gen AI tools using SQL-like queries, handle nulls, group by year, MIT, compute percentile of movies with female actors, and examine decade trends and cast size.
Learn to compute a Shahrukh Khan number by modeling the acting graph and implementing nested SQL queries that join persons, movies, and casting to find the shortest path.
Build Power BI dashboards for company sales and production analysis, transform data, model forecasts, and calculate KPI accuracy across shifts and products.
Enhance Power BI dashboards with data dictionary and forecasting results. Model and join sales and production tables to derive insights and kpi like forecasting results.
Shows how to import and customize images in a dashboard using fill, browse, and resizable icons, and set up grid layouts with navigation across overview, production, and sales forecasting pages.
Learn to navigate sales forecasting and production dashboards, analyze KPIs and revenue, use drill-down filters, and visualize sell-through rates with charts like donut, pie, and line plots.
Analyze year-wise forecasting and product performance in Power BI by drilling down the data to reveal opening, closing, and consumption trends, then automate insights and recommendations for production and sales.
Explore descriptive statistics, probability, and normal distribution in business data, and learn data types, central tendencies, dispersion, skewness and kurtosis, and visualization with boxplots.
Explore the central limit theorem and gaussian and uniform distributions, and learn data standardization with z-scores. Apply hypothesis testing, p-values, t-tests, confidence intervals, ANOVA, and Pearson correlation to real data.
Explore central limit theorem effects on Gaussian and uniform distributions; apply data cleaning and preprocessing, z-score standardization, p-values, t tests, correlation and causation, and confidence intervals for analytics.
Apply univariate and multivariate statistics to real-world healthcare data using histograms, box plots, Q1–Q3, and correlation analyses, with practical imputation and plots.
Welcome to Data Analytics with Gen AI Tools, a hands-on, beginner-friendly course crafted to empower aspiring analysts, business professionals, and tech enthusiasts with the latest advancements in Generative AI.
In this course, you’ll learn how to apply tools like ChatGPT, Gemini, GitHub Copilot, Bard, and AI-powered Excel/PBI assistants in your data analytics projects. We’ll explore real-world use cases to automate tasks such as data cleaning, SQL generation, report creation, dashboard design, and even predictive modeling — all through the power of Gen AI.Building simple visualizations and summaries using AI promptsUsing LLMs for storytelling and data interpretation.Ethical considerations and limitations of Gen AI in analytics
You’ll gain experience with:
Integrating Gen AI into Excel, Power BI, and Google Sheets
Writing AI-assisted SQL queries
Automating analytics reports and dashboards
Building simple visualizations and summaries using AI prompts
Using LLMs for storytelling and data interpretation
Ethical considerations and limitations of Gen AI in analytics
This course is project-based, packed with examples and tools that are immediately applicable to your work or portfolio. By the end, you’ll not only save time but also elevate the quality and insight of your data work with Gen AI assistance.
Whether you're a student, data analyst, business analyst, or upskilling professional, this course will give you a major productivity edge.