Course Overview
This course is designed to equip participants with advanced Excel skills necessary for handling, analyzing, and visualizing large datasets. By delving into complex formulas, functions, and data manipulation techniques, participants will learn to leverage Excel's capabilities for big data analysis, enabling them to make data-driven decisions efficiently.
Course Duration
10 Days
Who Should Attend
- Data analysts and data scientists
- Business intelligence professionals
- Financial analysts
- Managers and decision-makers who handle large datasets
- Professionals in any field looking to enhance their Excel skills for big data applications
Course Objectives
By the end of this course, participants will:
- Understand and apply advanced Excel formulas and functions for big data analysis.
- Efficiently manipulate and clean large datasets using Excel.
- Perform complex data analysis using pivot tables, advanced charts, and conditional formatting.
- Integrate Excel with other tools and software for enhanced data analysis capabilities.
- Develop skills to automate repetitive tasks using macros and VBA.
- Learn best practices for data visualization and presentation.
Course Outline:
Module 1: Introduction to Big Data and Advanced Excel Functions
- Overview of big data concepts
- Introduction to advanced Excel functions
- Understanding data types and structures in Excel
Module 2: Data Cleaning and Preparation
- Techniques for data cleaning and validation
- Using text functions to manipulate data
- Handling missing data and duplicates
Module 3: Advanced Formulas and Functions
- Nested formulas and functions
- Array formulas and their applications
- Using lookup functions (VLOOKUP, HLOOKUP, INDEX, MATCH)
Module 4: Data Analysis with Pivot Tables
- Creating and customizing pivot tables
- Using calculated fields and items
- Advanced pivot table techniques
Module 5: Advanced Charting and Data Visualization
- Creating dynamic and interactive charts
- Utilizing sparklines and conditional formatting for visualization
- Best practices for data presentation
Module 6: Working with External Data Sources
- Importing and exporting data
- Connecting Excel with databases and other external sources
- Data consolidation techniques
Module 7: Automation with Macros and VBA
- Introduction to macros and VBA
- Recording and editing macros
- Writing basic VBA code for automation
Module 8: Statistical Analysis and Data Modeling
- Performing statistical analysis using Excel
- Creating and interpreting regression models
- Scenario analysis and forecasting
Module 9: Excel Integration with Other Tools
- Integrating Excel with Power BI for advanced analytics
- Using Excel with Python/R for enhanced data processing
- Collaboration and data sharing using Excel Online
Module 10: Best Practices and Case Studies
- Review of best practices for big data analysis in Excel
- Hands-on case studies and real-world examples
- Q&A and wrap-up session
Customized Training
This training can be tailored to your institution needs and delivered at a location of your choice upon request.
Requirements
Participants need to be proficient in English.
Training Fee
The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.
Certification
A certificate from Ideal Workplace Solutions is awarded upon successful completion.
Accommodation
Accommodation can be arranged upon request. Contact via email for reservations.
Payment
Payment should be made before the training starts, with proof of payment sent to [email protected].
For further inquiries, please contact us on details below:
