Courses Finder :
The Power of Data Analytics: Using Excel and SQL
course
IT Management and Cyber Security
Course Overview
This course is designed to equip participants with the skills to leverage data strategically and transform it into actionable insights. It begins with an introduction to data analytics and project phases, then explores advanced Excel functionalities, including sorting and filtering, lookup functions, conditional formatting, PivotTables, and more. The final stage covers data visualization, teaching participants how to represent data effectively through charts and tables. The course also bridges the strengths of SQL for data management with Excel’s analytical capabilities, using real-world examples to turn raw data into meaningful insights.
Course Objectives
By the end of this course, participants will be able to:
Understand the principles and best practices of data analytics and its business value.
Apply Excel effectively for data analysis and processing.
Import and clean data to ensure data quality before analysis.
Analyze data using filters, sorting, lookup functions, and PivotTables.
Retrieve and manipulate data efficiently using SQL.
Perform advanced data analysis and create visualizations in Excel.
Integrate SQL and Excel to enhance analytical efficiency.
Present data-driven findings to support strategic decision-making.
Course Audience
This course is suitable for a wide range of professionals, including:
Data analysts and business intelligence professionals
Managers and team leaders seeking data-driven decision-making
Professionals in finance, marketing, operations, or any data-intensive field
Anyone aiming to enhance their data analytics skills with Excel and SQL
Course Methodology
The course uses interactive adult learning techniques to ensure comprehension, retention, and practical application, including:
Interactive lectures
Group discussions and collaborative exercises
Real-world case studies
Hands-on exercises with Excel and SQL for practical learning
Course Outline
Day One: Introduction to Data Analytics
Introduction to data analytics and its role in business success
Overview of Excel and SQL in the analytics workflow
Data types, structures, and database management basics
Setting up and accessing data in SQL databases and Excel
Day Two: Retrieving Data with SQL
SELECT statements and column aliases
Filtering data with WHERE clauses
Sorting data with ORDER BY
Limiting results with LIMIT and OFFSET
Advanced querying techniques: handling NULL values, pattern matching with LIKE and wildcards, grouping data with GROUP BY, filtering grouped data using HAVING
Day Three: Advanced Data Analysis in Excel
Importing and cleaning data in Excel
Using formulas and functions for data transformation
Creating PivotTables and PivotCharts for dynamic reporting
Statistical analysis: descriptive statistics, regression, and correlation
Hands-on exercises with real-world datasets
Day Four: Data Aggregation and Advanced Analysis
Window functions and ranking
Using aggregate functions with GROUP BY
Analytic functions for advanced insights
Database security concepts
Granting and revoking permissions
Protecting sensitive data
Day Five: Data Visualization and Reporting
Principles of effective data visualization
Creating compelling dashboards and reports in Excel
Visualizing SQL data for stakeholders
Case studies: solving business challenges with Excel and SQL
Developing a personal action plan to apply learned skills
Certificates
On successful completion of this training course, HighPoint Certificate will be awarded to the delegates. Continuing Professional Education credits (CPE): In accordance with the standards of the National Registry of CPE Sponsors, one CPE credit is granted per 50 minutes of attendance.