AI for Data Analysts workshop
Artificial Intelligence
Participants will learn how AI can help clean data, analyze spreadsheets, identify trends, create visualizations, generate reports, and support business decision-making. The workshop focuses on simple, practical techniques that can immediately improve productivity and reduce manual effort in data-related work.
Duration: 1 days / 8 hours
Delivery Method: Classroom-based, Virtual Instructor Led Training
COURSE OBJECTIVES
By the end of this workshop, participants will be able to:
· Understand the fundamentals of AI-powered data analysis and its role in improving business decision-making.
· Identify common data quality issues and apply AI-assisted techniques to clean, organize, and prepare data for analysis.
· Use AI tools to efficiently review datasets, detect missing or duplicate records, and structure information for reporting purposes.
· Generate meaningful business insights from data, including trend analysis, KPI evaluation, customer behavior analysis, and sales performance assessment.
· Leverage AI to create reports, executive summaries, and presentations that effectively communicate analytical findings to stakeholders.
· Apply AI-assisted methods to transform raw data into actionable recommendations that support business objectives.
· Understand the basic principles of forecasting and predictive analysis using historical data and trend patterns.
· Explore practical applications of AI for demand prediction, sales forecasting, and business planning.
· Integrate AI tools into daily data analysis workflows to improve productivity, accuracy, and reporting efficiency.
· Recognize best practices, limitations, and responsible use of AI when working with business data and analytics.
COURSE OUTLINE
Introduction to AI for Data Analysis
· Understanding AI-Powered Analytics
· Common Data Analysis Challenges
· Opportunities for Productivity Improvement
· AI Use Cases for Data Analysts
· Best Practices for Working with AI
Working with Data Using AI
· Importing and Reviewing Data
· Finding Missing and Duplicate Records
· Organizing and Structuring Data
· Preparing Data for Analysis
Generating Insights with AI
· Turning Data into Business Insights
· Understanding Key Performance Indicators (KPIs)
· Customer and Sales Insights
· Trend Analysis
· Creating Actionable Recommendations
AI-Assisted Reporting
· Creating Summary Reports
· Writing Executive Summaries
· Building Simple Business Presentations
· Communicating Insights Effectively
Introduction to Forecasting and Predictions
· What is Forecasting?
· Understanding Historical Trends
· Basic Sales Forecasting Concepts
· Demand Prediction Fundamentals
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