Introduction:

Businesses today generate vast amounts of data, but without structured analysis and visualization, it remains underutilized. Descriptive analytics helps organizations:

• Summarize and interpret historical data
• Detect patterns, trends, and correlations
• Create clear, data-driven reports for decision-making
• Build a foundation for predictive and prescriptive analytics

This course equips participants with the skills to explore, clean, summarize, and visualize data, transforming raw information into meaningful insights.

Objectives:

By the end of this course, participants will be able to:

1. Understand the Role of Descriptive Analytics – Learn its significance in business intelligence.
2. Summarize and Explore Data – Apply statistical techniques to describe datasets.
3. Visualize Data Effectively – Choose appropriate charts, graphs, and dashboards.
4. Use Key Descriptive Analytics Tools – Gain hands-on experience with Excel, SQL, Power BI, and Python.
5. Analyze Business Data for Insights – Identify trends, correlations, and patterns.
6. Create Reports and Dashboards – Develop clear, data-driven reports for stakeholders.
7. Leverage Automation and AI – Explore AI-powered analytics and automated reporting.

Who Should Attend?

This course is designed for professionals seeking to develop fundamental data analytics skills, including:

• Business Intelligence Analysts
• Data Analysts and Aspiring Data Scientists
• Finance, Sales, and Marketing Professionals
• Operations and Strategy Managers
• IT and Data Professionals
• Anyone looking to understand data-driven decision-making

Training Agenda:

Day 1: Introduction to Descriptive Analytics and Data Exploration

• Morning Session:

  • What is Descriptive Analytics? Understanding its Role in Data Science
  • Descriptive vs. Predictive vs. Prescriptive Analytics
  • The Analytics Workflow: Data Collection → Cleaning → Analysis → Reporting
  • Case Study: How Companies Use Descriptive Analytics for Business Insights

• Afternoon Session:

  • Exploring and Cleaning Data: Handling Missing Values, Duplicates, and Outliers
  • Hands-on Training: Data Cleaning in Excel and Python (Pandas)
  • Hands-on Exercise: Preparing a Raw Dataset for Analysis

Day 2: Descriptive Statistics and Data Summarization

• Morning Session:

  • Key Statistical Measures: Mean, Median, Mode, Variance, Standard Deviation
  • Identifying Trends: Time-Series Analysis and Moving Averages
  • Understanding Distributions: Histograms and Box Plots

• Afternoon Session:

  • Hands-on Training: Descriptive Statistics in Excel and Python
  • Case Study: How Businesses Use Statistical Summaries to Drive Decisions
  • Hands-on Exercise: Computing Summary Statistics for a Business Dataset

Day 3: Data Visualization for Descriptive Analytics

• Morning Session:

  • Choosing the Right Visualization: Tables, Charts, and Graphs
  • Best Practices for Data Storytelling and Dashboard Design
  • Visualizing Categorical vs. Numerical Data

• Afternoon Session:

  • Hands-on Training: Creating Visualizations in Power BI and Matplotlib (Python)
  • Case Study: Effective vs. Ineffective Data Visualization Examples
  • Hands-on Exercise: Designing a Business Insights Dashboard

Day 4: Business Applications of Descriptive Analytics

• Morning Session:

  • Using Descriptive Analytics in Finance, Marketing, and Operations
  • Identifying Key Performance Indicators (KPIs) and Business Metrics
  • Building Interactive Dashboards for Business Monitoring

• Afternoon Session:

  • Hands-on Training: Creating KPI Dashboards in Power BI and SQL
  • Case Study: How Businesses Use Dashboards for Performance Tracking
  • Hands-on Exercise: Developing a Sales & Revenue Dashboard

Day 5: AI-Powered Analytics, Automation, and Future Trends

• Morning Session:

  • Automating Descriptive Analytics Reports
  • AI-Driven Data Summarization: Natural Language Processing for Analytics
  • Introduction to Self-Service BI and Cloud Analytics

• Afternoon Session:

  • Capstone Project: Creating a Descriptive Analytics Report for a Business Case
  • Course Wrap-Up, Q&A, and Certification of Completion