The Power Of Data Analytics: Using Excel And SQL
Course Overview
In today’s data-driven world, the ability to extract meaningful insights from complex datasets is a critical skill for professionals across industries.
This course is designed to prepare participants for practical, real-world applications of data analytics, bridging the analytical capabilities of Excel with the data-handling power of SQL.
Starting with the fundamentals of data analytics and project phases, the course progresses to advanced Excel functions such as sorting, filtering, lookup functions, conditional formatting, and PivotTables before introducing effective data visualization techniques.
Through hands-on exercises and real-world examples, participants will learn to transform raw data into actionable insights that support strategic decision making and drive business impact.
Course Objectives
By the end of this course, participants will be able to:
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Understand the principles and best practices of data analytics.
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Apply Excel effectively for data analysis, including data cleaning, transformation, and advanced functions.
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Query and manipulate data efficiently using SQL.
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Integrate Excel and SQL to improve analytical workflow and decision-making efficiency.
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Perform advanced data analysis, including PivotTables, statistical functions, and dynamic reporting.
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Visualize data effectively using charts, dashboards, and interactive reports.
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Present data-driven findings to support strategic business decisions.
Course Audience
This course is ideal for professionals seeking to enhance their data analytics capabilities, including:
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Data analysts and business intelligence professionals
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Managers and team leaders leveraging data for decision-making
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Professionals in finance, marketing, operations, or any data-driven role
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Individuals aiming to improve analytical efficiency using Excel and SQL
Course Methodology
This course employs a highly interactive learning approach to ensure participants gain practical skills and retain knowledge. Methods include:
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Lecture-led sessions to build foundational understanding.
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Hands-on exercises and real-world case studies to practice applying skills.
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Group discussions and collaborative problem-solving for experiential learning.
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Step-by-step demonstrations of integrating SQL queries with Excel analytics.
Course Outline
Day 1: Introduction to Data Analytics
- Overview of data analytics and its role in business success
- Introduction to SQL and Excel in analytics workflows
- Understanding data types, structures, and basic database concepts
- Setting up and accessing data in SQL databases and Excel
Day 2: Retrieving Data with SQL
- SELECT statements, column aliases, and filtering data
- Sorting results and limiting output using LIMIT and OFFSET
- Advanced querying techniques: handling NULL values, pattern matching, grouping, and filtering with HAVING
Day 3: Excel for Advanced Data Analysis
- Importing, cleaning, and transforming data in Excel
- Using formulas and functions for data manipulation
- Creating PivotTables and PivotCharts for dynamic reporting
- Performing statistical analysis: descriptive stats, regression, and correlation
- Hands-on exercises with real-world datasets
Day 4: Aggregating and Analyzing Data
- Using aggregate and analytic functions for advanced analysis
- Window functions and ranking
- Managing database security: granting/revoking permissions, securing sensitive data
Day 5: Data Visualization and Reporting
- Principles of effective data visualization
- Building compelling dashboards and Excel reports
- Presenting SQL data visually to stakeholders
- Case studies and practical applications
- Developing an action plan to apply learned skills
Certificates