Data Analytics

1. Microsoft Excel for Data Analytics:

Harnessing Excel for Data Analysis: Learn advanced Excel functions and techniques to analyze data effectively. This module covers data manipulation, pivot tables, data visualization, and the use of formulas and functions to gain insights from data.

Practical Applications: Apply these skills to real-world scenarios, such as financial analysis, statistical analysis, and business modeling, to enhance decision-making processes.

2. Microsoft Power BI for Data Analytics:

Introduction to Power BI: Understand the basics of Microsoft Power BI, a powerful data visualization and business intelligence tool. This module covers data import, data transformation, and the creation of interactive dashboards and reports.

Advanced Data Visualization: Learn how to create compelling data visualizations that effectively communicate insights. This includes using Power BI's advanced features to build dynamic and interactive reports that can be shared across the organization.

3. Digital Transformation & AI:

Understanding Digital Transformation: Explore the concept of digital transformation and its impact on businesses. This module covers the key technologies driving digital change, including cloud computing, big data, and IoT.

Artificial Intelligence in Business: Learn about the role of AI in digital transformation. This includes understanding machine learning, natural language processing, and AI-driven automation, and how these technologies can be leveraged to improve business operations and drive innovation.

This comprehensive course is designed to equip participants with advanced skills in data analytics using Microsoft Excel and Power BI, as well as a deep understanding of digital transformation and the application of AI in business contexts.