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AI for Data Analysts workshop

Artificial Intelligence

Course Overview


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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