Analytical Methods:

• Apply statistical and analytical methods to uncover trends, correlations, and anomalies.
• Translate business questions into analytical models.

Dashboards & Reporting

• Create interactive dashboards and design compelling data stories.
• Build KPIs and performance metrics aligned with business objectives.

Decision-Making

• Interpret analytical outputs and present insights that influence business decisions.
• Perform scenario and sensitivity analysis to support strategic planning.

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

Data Foundations

• Understand the fundamentals of business analytics, data pipelines, and data governance.
• Identify the types of business data and their relevance to performance measurement.

Practical Analytics Skills

• Develop hands‑on proficiency in tools for:
• Data extraction (SQL basics, Excel Power Query, or equivalent)
• Data manipulation & cleaning (Excel, Python basics or Power Query)
• Data visualization (Power BI or Tableau)
• Data analysis (descriptive, diagnostic & basic predictive techniques)

This course is ideal for:

• Business analysts, data analysts, and reporting specialists
• Managers and decision‑makers who rely on data for planning
• Finance, operations, marketing, HR, and supply chain professionals
• IT and system users who support data processes
• Anyone seeking to develop strong, practical analytics skills
• Beginners transitioning into data-related roles (no coding experience required)

DAY 1 – Foundations of Business Data Analytics

Morning

• Introduction to Data & Analytics
• Business data types: structured vs. unstructured
• Data life cycle & data quality principles
• Role of analytics in business decision-making
• Case examples: marketing, finance, operations, HR

Afternoon

• Introduction to analytical tools (Excel, Power BI/Tableau, SQL, Python overview)
• Understanding KPIs, metrics, and business measurements
• Hands-on Workshop:
• Dataset exploration
• Basic descriptive analytics
• Daily Exercise: "Turn raw data into a simple report"

DAY 2 – Data Extraction & Data Cleaning

Morning — Data Extraction

• Data sourcing: databases, spreadsheets, online sources
• Introduction to SQL for data extraction (SELECT, WHERE, JOIN)
• Excel Power Query for importing and transforming data
• Connecting external data sources

Afternoon — Data Cleaning & Preparation

• Handling missing, duplicate, inconsistent data
• Data normalization & formatting
• Creating calculated fields & derived variables
• Hands-on Workshop:
• Extracting data using SQL & Power Query
• Cleaning and preparing data for analysis
• Daily Exercise: "Prepare a clean, analysis-ready dataset"

DAY 3 – Data Manipulation & Analytical Techniques

Morning

• Advanced Excel techniques (PivotTables, Lookup functions, Power Query transformations)
• Data modeling basics
• Introduction to Python (optional): pandas for data manipulation

Afternoon

• Analytical methods:
• Trend analysis
• Correlation & causation
• Segmentation & clustering (conceptual)
• Scenario analysis & "What-if" modeling
• Hands-on Workshop:
• Manipulating large datasets
• Performing diagnostic analytics
• Daily Exercise: "Analyze trends and patterns"

DAY 4 – Data Visualization & Dashboard Design

Morning – Visualization Principles

• Visualization best practices
• Choosing the right chart
• Designing business dashboards (layout, usability, KPIs)

Afternoon – Power BI / Tableau Workshop

• Importing data
• Creating charts, slicers, filters
• Building dynamic dashboards
• Publishing & sharing reports
• Case Study: "Create a dashboard for a business problem"

DAY 5 – Business Insights, Storytelling & Capstone Project

Morning

• Interpreting analytical results
• Communicating insights: storytelling with data
• Structuring presentations for executives
• Building data-driven recommendations

Afternoon – Capstone Project

Participants work in teams to complete an end‑to‑end analytics project:

1. Extract a dataset
2. Clean and prepare the data
3. Analyze and model the data
4. Build a dashboard
5. Present findings to a decision-making panel

• Course Summary
• Q\&A Session
• Certificates Awarded

CDGA attendance certificate will be issued to all attendees completing minimum of 80% of the total course duration.