Microsoft Office Specialist: Microsoft Excel Advanced Expert

Microsoft Office Excel Formulas and Functions, Excel in Data Analysis and Data Science, Data Visualization, Automation

What you'll learn

Module 1: Advanced Formulas and Functions

Exercise 1: Logical Functions

Exercise 2: Lookup and Reference Functions

Exercise 3: Text Functions

Module 2: Data Analysis and Visualisation

Exercise 4: Pivot Tables

Exercise 5: Advanced Charting

Exercise 6: Conditional Formatting

Exercise 7: Data Tables

Module 3: Data Management and Cleaning

Exercise 8: Data Validation

Exercise 9: Text to Columns

Exercise 10: Removing Duplicates

Module 4: Automation with Macros and VBA

Module 5: Advanced Data Import and Export

Exercise 15: Using Downloaded JSON Data for Data Connections

Exercise 16: Importing data

Exercise 17: Data Integration with SQLite and Excel

Exercise 18: Advanced Filtering and Sorting with Dynamic Arrays

Requirements

For a better learning experience, we suggest you to use a laptop / mobile phone / pen and paper for taking notes, highlighting important points, and making summaries to reinforce your learning.

Description

Welcome to Program: Microsoft Office Specialist: Microsoft Excel Advanced Expert by MTF InstituteCourse provided by MTF Institute of Management, Technology and FinanceMTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance. MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things. MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.MTF is present in 215 countries and has been chosen by more than 684 000 students.Course Author:Dr. Alex Amoroso is a seasoned professional with a rich background in academia and industry, specializing in research methodologies, strategy formulation, and product development. With a Doctorate Degree from the School of Social Sciences and Politics in Lisbon, Portugal, where she was awarded distinction and honour for her exemplary research, Alex Amoroso brings a wealth of knowledge and expertise to the table.In addition to her doctoral studies, Ms. Amoroso has served as an invited teacher, delivering courses on to wide range of students from undergraduate level to business students of professional and executives courses. Currently, at EIMT in Zurich, Switzerland, she lectures for doctoral students, offering advanced instruction in research design and methodologies, and in MTF Institute Ms. Amoroso is leading Product Development academical domain.In synergy between academical and business experience, Ms. Amoroso achieved high results in business career, leading R&D activities, product development, strategic development, market analysis activities in wide range of companies. She implemented the best market practices in industries from Banking and Finance, to PropTech, Consulting and Research, and Innovative Startups.Alex Amoroso's extensive scientific production includes numerous published articles in reputable journals, as well as oral presentations and posters at international conferences. Her research findings have been presented at esteemed institutions such as the School of Political and Social Sciences and the Stressed Out Conference at UCL, among others.With a passion for interdisciplinary collaboration and a commitment to driving positive change, Alex Amoroso is dedicated to empowering learners and professionals for usage of cutting edge methodologies for achieving of excellence in global business world.What is Microsoft Excel?Microsoft Excel is a powerful spreadsheet program that allows users to organize, analyze, and manipulate data. It's part of the Microsoft Office suite and is widely used by businesses, organizations, and individuals across various fields.Why is it important to know Excel at an advanced level?In data-driven world, advanced Excel skills are becoming increasingly essential. Here's why:Increased Efficiency: Advanced users can automate repetitive tasks, saving time and reducing errors. They can also perform complex calculations and analyses quickly and accurately.Enhanced Data Analysis: Advanced features like PivotTables, Power Query, and complex formulas allow users to extract meaningful insights from large datasets, identify trends, and make data-driven decisions.Improved Decision-Making: By creating dynamic reports, dashboards, and visualizations, advanced users can present data in a clear and compelling way, facilitating better understanding and informed decision-making.Career Advancement: Advanced Excel skills are highly sought after by employers. They demonstrate a strong ability to handle complex data and contribute to organizational efficiency and effectiveness.Why is advanced Excel important for companies and experts?Companies: Excel proficiency empowers employees to analyze financial data, track performance, manage projects, forecast trends, and automate various business processes. This leads to increased productivity, improved decision-making, and ultimately, greater profitability.Experts: Professionals in fields like finance, accounting, marketing, and data analysis rely heavily on advanced Excel skills to perform their job functions effectively. These skills enable them to analyze data, build models, generate reports, and provide valuable insights to their organizations or clients.Importance of the specified skill domains:Advanced Formulas and Functions: Mastering advanced formulas and functions allows users to perform complex calculations, manipulate data efficiently, and automate tasks.Data Analysis and Visualisation: This module equips users with the skills to analyze data using tools like PivotTables, create compelling charts and graphs, and present data in a visually appealing and informative manner.Data Management and Cleaning: This is crucial for ensuring data accuracy and reliability. Skills in this domain include importing, cleaning, transforming, and validating data to prepare it for analysis.Automation with Macros and VBA: Automating tasks with macros and VBA significantly increases efficiency by streamlining repetitive processes and reducing manual effort.Advanced Data Import and Export: This enables users to work with data from various sources, including databases and external files, expanding the scope and possibilities of their analyses.Advanced Filtering, Sorting, and Dynamic Arrays: These skills allow users to effectively manage and manipulate large datasets, extract relevant information quickly, and perform dynamic calculations.By mastering these advanced Excel skills, individuals and organizations can unlock the full potential of this powerful tool and gain a significant competitive advantage in today's data-driven world.

Overview

Section 1: Introduction

Lecture 1 Onboarding to learning process

Lecture 2 Presentation

Lecture 3 Course overview

Section 2: Module 1: Advanced Formulas and Functions

Lecture 4 Exercise 1: Logical Functions

Lecture 5 Exercise 2: Lookup and Reference Functions

Lecture 6 Exercise 3: Text Functions

Section 3: Module 2: Data Analysis and Visualisation

Lecture 7 Exercise 4: Pivot Tables

Lecture 8 Exercise 5: Advanced Charting

Lecture 9 Exercise 6: Conditional Formatting

Lecture 10 Exercise 7: Data Tables

Section 4: Module 3: Data Management and Cleaning

Lecture 11 Exercise 8: Data Validation

Lecture 12 Exercise 9: Text to Columns

Lecture 13 Exercise 10: Removing Duplicates

Section 5: Module 4: Automation with Macros and VBA

Lecture 14 Module 4

Lecture 15 Exercise 11: Recording Macros

Lecture 16 Exercise 12: Editing Macros

Lecture 17 Exercise 13: Automating Tasks

Lecture 18 Exercise 14: Debugging Macros

Section 6: Module 5: Advanced Data Import and Export

Lecture 19 Exercise 15: Using Downloaded JSON Data for Data Connections

Lecture 20 Exercise 16: Importing data

Lecture 21 Exercise 17: Data Integration with SQLite and Excel

Section 7: Module 6: Advanced Filtering, Sorting, and Dynamic Arrays

Lecture 22 Exercise 18: Advanced Filtering and Sorting with Dynamic Arrays

Section 8: AI tools and Microsoft Excel

Lecture 23 AI-Powered Excel: Unleashing the Power of Gemini and Copilot

Section 9: Interactive part

Lecture 24 Interactive Part

Lecture 25 Congratulations with finishing from MTF

No special requirements. A course for anyone who wants to build career in data analysis