MS Copilot for Data Analysis

Participants will learn to harness the power of AI to automate analytical tasks, reduce time-to-insight, and enhance the accuracy and clarity of business reporting. The course emphasizes not only how to use Copilot's capabilities for data-driven decision-making but also how to craft structured prompts that improve analytical outcomes. Explore the foundational concepts of generative AI and prompt engineering, including in-context learning and chain-of-thought reasoning, which are critical for guiding AI models effectively. They will then progress to querying and analyzing structured data files—such as Excel or CSV—through intuitive prompts. Learners will gain practical experience in data cleaning, summarization, and documentation using Copilot’s Advanced Data Analysis tools. Further modules dive into exploratory data analysis (EDA), data transformation, regression modeling, and visual storytelling. Using only natural language instructions, learners will create charts, extract statistical insights, and generate descriptive summaries.

Introducing Generative AI
•    Industry 4.0 and digital transformation
•    What are levels of AI
•    What is Generative AI
•    Generative AI tools for Data Analytics

Exploratory Data Analysis with Coplot
•    4 step Data Analytics Framework
•    Data preprocessing and cleaning data
•    Performing Visuals and Statistics
•    Creating Summary reports and tables

Analytical Transformations and Insights Generation
•    Applying Data Transformations and feature Engineering
•    Building and Interpreting Regression Models and Decision Tres
•    Prompting for Chart Creation and Visual Analysis
•    Evaluation using Model Metrics 

Optimization and Forecasting
•    Optimizing model performance
•    Identifying Time-based Trends and Cycles in Data
•    Forecasting and Predictions
•    PowerBI AI features

Contact:;+65 85124032    neurotek2025@gmail.com

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