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  • Most common Excel functions used in the office
  • How to apply the skills in data analysis, grade responses or polls, and prepare results.
  • How to perform basic financial analysis as an accountant/finance secretary
  • How to simplify voluminous entries using automated forms
  • How to design a loan management system.
  • How to Analyze Data using Pivot Table & Power Query
  • Design Interactive Dashboards
  • Work o end-to-end Projects as a Data Analyst

Welcome to the Data Analysis with Microsoft Excel course! This comprehensive course is divided into four distinct classes: The Beginners, Intermediate, Advance and Application class respectively , featuring a total of 30 well-simplified and detailed lessons. Get ready to unlock the full potential of Microsoft Excel!
 
Course Highlights:
 
In this course, you will embark on a journey from the beginner level to becoming proficient in Excel, with a focus on practical applications. Here’s what you’ll learn:
 
The Basics of Microsoft Excel: Learn the basic Microsoft Excel interface.
 
Maintaining Large Data Sets: Discover appropriate skills to analyze and simplify voluminous data.
 
Basic and Complex Excel Functions: Learn basic, advance and complex Excel functions for data analysis and computational purposes.
 
Analyzing Academic, and Financial Reports: Discover how to analyze academics reports, sales records and also perform financial analysis using Excel functions.
 
Designing Dynamic Database Systems: Create dynamic and automated database systems using simple Excel tricks.
 
Creating Dynamic Reports, Visualizations & Dashboards: Create dynamics reports, visualizations and create interactive dashboards.
 
Excel Projects: Learn how to execute projects from end-to-end using the learned skills, hence developing your own project portfolios.
 
 
Why Choose This Course?
Self-Paced Learning: Fit it into your schedule
 
Beginner-Friendly: No prior coding experience is required
 
Expert-Led Instruction: Learn from experienced professionals
 
Hands-On Exercises: Apply skills with real-world examples
 
Lifetime Access: Refresh your knowledge anytime
 
Limited-Time Offer: 
 
Invest in Your Future! Don’t miss out on this opportunity.
 
Sign up to enroll now and start your journey to mastery!
 
Hurry, offer ends soon! 

  • A Laptop/Desktop computer
  • Microsoft Excel Application
  • Data Analyst
  • Sales Analyst
  • Business/Financial Analyst
  • Educator
  • Human Resource Managers
  • Microsoft Excel Enthusiast
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  • Section 1 : Beginner Class 16 Lectures 04:55:01

    • Lecture 1 :
    • 1.1 Introduction to Excel Preview
    • Lecture 2 :
    • 1.2 Excel-Formatting
    • Lecture 3 :
    • 1.3 Conditional Formatting-1
    • Lecture 4 :
    • 1.4 Conditional Formatting-2
    • Lecture 5 :
    • 1.5 Formulas Function -1
    • Lecture 6 :
    • 1.6 Formulas function-2(Result Analysis)
    • Lecture 7 :
    • 1.8 Data validation Drop down
    • Lecture 8 :
    • 1.9 Header and Footer
    • Lecture 9 :
    • 1.10 Protecting Sheet
    • Lecture 10 :
    • 1.11 How to Unlock Protected Sheet
    • Lecture 11 :
    • 1.12 Automated Calculator
    • Lecture 12 :
    • 1.13 Consolidation
    • Lecture 13 :
    • 1.14 Charts
    • Lecture 14 :
    • 1.15 Progress Bar Chart
    • Lecture 15 :
    • 1.16 Print Setup
    • Lecture 16 :
    • 1.7 Formulas & Functions 3
  • Section 2 : Advance Class 18 Lectures 05:37:57

    • Lecture 1 :
    • 2.17 Sorting
    • Lecture 2 :
    • 2.18 Basic Filter
    • Lecture 3 :
    • 2.19 Advance Filter
    • Lecture 4 :
    • 2.20 Logical Function(AND)
    • Lecture 5 :
    • 2.21 Logical Function(Text)
    • Lecture 6 :
    • 2.22 Advance Data Validation (Dropdown list)
    • Lecture 7 :
    • 2.23 H-Lookup
    • Lecture 8 :
    • 2.24 V-Lookup
    • Lecture 9 :
    • 2.25 DataBase System
    • Lecture 10 :
    • 2.26 Pivot table - 1
    • Lecture 11 :
    • 2.27 Pivot Table 2
    • Lecture 12 :
    • 2.28 Pivot table 3
    • Lecture 13 :
    • 2.29 Power Query 1(Text Dates)
    • Lecture 14 :
    • 2.30 Power Query (Finance)
    • Lecture 15 :
    • 2.31 Power Query(Web, Dashboad,Slicer)
    • Lecture 16 :
    • 2.32 Covid-19 Analysis
    • Lecture 17 :
    • 2.33 Data Collection(Google form)
    • Lecture 18 :
    • 2.34 Sales Dashboard
  • Section 3 : Application Class 10 Lectures 02:45:49

    • Lecture 1 :
    • 3.35 Automated Data Entry Form
    • Lecture 2 :
    • 3.36 Attendance Register(Clock In Clock Out)
    • Lecture 3 :
    • 3.37 Salary Sheet with Excel
    • Lecture 4 :
    • 3.38 Gantt Chart
    • Lecture 5 :
    • 3.39 Simple Compound Interest
    • Lecture 6 :
    • 3.40 Loan Payment
    • Lecture 7 :
    • 3.41 Drop Down List (3)
    • Lecture 8 :
    • 3.42 Loan Management System(Data Base)
    • Lecture 9 :
    • 3.43 Loan Management System(Payment Page)
    • Lecture 10 :
    • 3.44 Loan Management System (Home Page)
  • Section 4 : Capstone Project 2 Lectures 00:45:40

    • Lecture 1 :
    • Tunia Technologies 1
    • Lecture 2 :
    • Tunia Technologies 2
  • Section 5 : Practice Exercises & Course Review 1 Lectures 00:00:33

    • Lecture 1 :
    • Practice Exercises
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My name is Awesome Emmanuel. I'm a British Council certified instructor based in Lagos, Nigeria. A data analyst/database administrator with over 6 years of active industrial work experience. A seasoned and resourceful ICT Tech-skill instructor, Data analyst consultant, Edu-Tech consultant and a web developer with great flair for providing soft and digital ICT skills.
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