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Advanced Excel Techniques | Conquer Excel On A High Level

person icon BERNARD MARTIN

4

Advanced Excel Techniques | Conquer Excel On A High Level

Advanced Microsoft excel High Level Techniques : data analyst : Automation : Advanced Formulas and Functions & more!

updated on icon Updated on Apr, 2024

language icon Language - English

person icon BERNARD MARTIN

category icon Teaching & Academics,Online Education,Excel

Lectures -27

Resources -6

Duration -4.5 hours

4

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Course Description

Welcome to the transformative journey of "Advanced Excel Techniques | Conquer Excel On A High Level." This comprehensive course is designed to propel your Excel proficiency to new heights by delving into intricate functionalities and expert strategies.

Unlock the full potential of Excel as you explore advanced functions, formulas, and techniques tailored for high-level data analysis. Navigate the world of data visualization by creating dynamic dashboards that captivate and communicate insights effectively

With a focus on productivity, you'll master the art of automation through macros and Visual Basic for Applications (VBA), streamlining repetitive tasks and boosting efficiency. Dive into sophisticated data analysis tools, such as PivotTables and Power Query, to unravel patterns and extract valuable insights from complex datasets.

Financial modeling takes center stage as you learn to construct intricate models for budgeting, forecasting, and decision-making. Seamlessly merge and analyze large datasets from diverse sources, sharpening your skills in handling real-world scenarios.

Optimize Excel performance by understanding formula efficiency, file management, and resource utilization. Elevate your presentations with advanced charting techniques, transforming data into compelling visual stories.

Collaborative prowess is honed through data sharing and protection features, ensuring secure and seamless teamwork. Strengthen problem-solving abilities by tackling intricate challenges rooted in real-world contexts.

Whether you're an analyst, manager, or aspiring Excel expert, this course equips you for success. By journey's end, you'll be prepared to tackle certification exams with confidence, armed with expertise that extends far beyond the basics. Join us in conquering Excel on a high level and elevate your data manipulation and analysis skills to unparalleled heights.


Who this course is for:

  • This course is for Intermediate to Expert level.


Goals

What will you learn in this course:

  • Utilize advanced functions and formulas for complex data analysis.

  • Create dynamic and interactive dashboards for data visualization.

  • Master data validation techniques to ensure data accuracy and consistency.

  • Automate tasks using macros and Visual Basic for Applications (VBA).

  • Implement powerful data analysis tools like PivotTables and Power Query.

  • Craft sophisticated financial models for budgeting and forecasting.

  • Merge and analyze large datasets from diverse sources seamlessly.

  • Optimize Excel performance through efficient formula usage and file management.

  • Develop advanced charting and graphing techniques for compelling presentations.

  • Collaborate effectively by using data sharing and protection features.

Prerequisites

What are the prerequisites for this course?

  • Need a computer to be able to access excel

Advanced Excel Techniques | Conquer Excel On A High Level

Curriculum

Check out the detailed breakdown of what’s inside the course

Data Analysis and Manipulation
5 Lectures
  • play icon Adv Excel Functions 13:20 13:20
  • play icon Data validation Conditional Formatting 14:05 14:05
  • play icon 3 - Pivot Tables 15:48 15:48
  • play icon 4 - Filter and Sort 20:20 20:20
  • play icon Resources
Advanced Charting and Visualization
4 Lectures
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Automation and Efficiency Techniques
4 Lectures
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Data Analysis Tools
5 Lectures
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Collaborative and Advanced Excel features
3 Lectures
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Case Studies and Real-World Application
3 Lectures
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Final Project
3 Lectures
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Instructor Details

BERNARD MARTIN

BERNARD MARTIN

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