Discover how Marketing Analysts use data to understand customers and drive business growth.

Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.

Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.

Learn to apply machine learning techniques to marketing analytics, focusing on customer insights and campaign optimization.

Discover how to apply machine learning techniques in marketing analytics, focusing on customer segmentation, prediction models, and data-driven decision-making.

Learn how to use Python to analyze customer churn and build a model to predict it.

Understand the techniques for effectively engineering prompts for ChatGPT, enhancing natural language understanding and interaction.

Gain expertise in D3.js for data visualization, focusing on advanced techniques and best practices for creating interactive visual representations.

Learn about popular Explainable AI algorithms such as integrated gradient, LIME, class activation maps, counterfactual explanations, etc.

From Data Preprocessing to Advanced Business Intelligence, Analytics—Become an In-Demand Microsoft Power BI Expert!

A Real-World Project using Jupyter notebook, Numpy, SciPy, Pandas, Matplotlib, Statmodels, Scikit-learn, and many more

Learn the statistics behind data science, from summary statistics to regression models.