In today’s data-driven landscape, the ability to effectively harness data is an essential skill for professionals across all sectors. The Power of Data Analytics: Using Excel and SQL training course is designed to equip participants with the tools and techniques necessary to analyze, interpret, and present data efficiently. SQL offers powerful querying abilities to manage and extract insights from large datasets, while Excel provides user-friendly functions for advanced analysis and visualization.
This Energy training course bridges the strengths of both SQL and Excel, enabling participants to integrate SQL's data management capabilities with Excel’s analytical features. Through practical examples and hands-on exercises, attendees will learn to transform raw data into valuable insights that enhance decision-making and drive impactful business outcomes. Whether you're an aspiring data analyst or a professional aiming to sharpen your skills, this course will unlock your ability to leverage data as a strategic asset.
Upon completing this Power of Data Analytics: Using Excel and SQL training course, participants will be able to:
- Grasp the core principles and best practices of data analytics
- Use SQL to query and manipulate data efficiently
- Conduct advanced data analysis and create visualizations in Excel
- Combine SQL and Excel to improve analytical efficiency
- Derive actionable insights from complex datasets
- Present data-driven conclusions to aid in strategic decision-making
This Energy training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes an interactive mixture of lecture-led learning & group discussions.
This Power of Data Analytics: Using Excel and SQL training course is suitable to a wide range of professionals but will greatly benefit:
- Data analysts and business intelligence professionals
- Managers and team leaders looking to leverage data for decision-making
- Professionals in finance, marketing, operations, or any field involving data analysis
- Anyone interested in enhancing their data analytics skills with SQL and Excel
Day One: Foundations of Data Analytics
- Introduction to data analytics and its role in business success
- Overview of SQL and Excel in the analytics workflow
- Data types, structures, and the basics of database management
- Setting up and accessing data in SQL databases and Excel
Day Two: SQL for Data Querying and Management
- Understanding SQL syntax and commands
- Writing basic SQL queries: SELECT, WHERE, GROUP BY, and ORDER BY
- Performing data joins and merging datasets
- Aggregating and summarizing data using SQL functions
- Hands-on exercises: Querying and extracting data from databases
Day Three: Excel for Advanced Data Analysis
- Importing and cleaning data in Excel.
- Using formulas and functions for data transformation
- Creating PivotTables and PivotCharts for dynamic reporting
- Statistical analysis in Excel: Descriptive statistics, regression, and correlation
- Hands-on exercises: Analyzing real-world datasets in Excel
Day Four: Integrating SQL and Excel for Analytics
- Exporting SQL query results to Excel for further analysis
- Automating data workflows between SQL and Excel
- Combining SQL queries and Excel features for advanced reporting
- Practical examples: End-to-end data analysis projects
Day Five: Data Visualization and Reporting
- Principles of effective data visualization
- Creating compelling dashboards and reports in Excel
- Presenting SQL data in visual formats for stakeholders
- Case studies: Solving business challenges with SQL and Excel analytics
- Developing a personal action plan for applying learned skills