Special offers now — see discounted courses.
day
:
hour
:
min
:
sec
See special offers
Excel for Data Analytics

Excel for Data Analytics

9h 30mIntermediate2026-07-22

Authors

Alex Freberg

Alex Freberg

Analyst Builder

Analyst Builder

Course details

Acquire comprehensive expertise in Excel, its functions, formulas, data analysis tools, and more. The course is enriched with practical exercises and demonstrations of real-world scenarios, showing how to manipulate and analyze data efficiently. Interactive, guided projects provide practical experience with real-world data analysis challenges. Explore foundational statistical concepts. Practice using pivot tables, lookups, formulas, and more. Upon completing this course, you will be equipped with new skills so you can confidently leverage Excel in your profession.

Concepts

Introduction

  • Instructor and course introductions

Introduction to Excel

  • What is Excel
  • Installing Microsoft Excel
  • Excel UI walkthrough

Excel Basics

  • Data types
  • Adding, deleting, and editing
  • Sorting and filtering

Formulas and Functions

  • Formulas and functions introduction
  • Basic formulas and functions
  • Conditional functions
  • Min, max, and average
  • Logical operators
  • IS Functions
  • Rounding functions
  • String functions

Statistics

  • Mean, median, and mode
  • Distributions
  • Standard deviation
  • Percentiles

Conditional Formatting

  • Highlight cells rules
  • Top and bottom rules
  • Bars, scales, and sets

XLOOKUP vs. VLOOKUP

  • Lookups introduction
  • VLookups
  • HLOOKUPs
  • XLOOKUPs
  • Index match
  • Lookup practice

Pivot Tables

  • Pivot table introduction
  • Creating our first pivot table
  • Formatting
  • Working with dates
  • Calculated fields
  • Sorting and filtering
  • Practice challenge

Visualizations

  • Bars and column charts
  • Line and combo charts
  • Scatter plots and bubble charts
  • Pie and donut charts
  • Geographical Map Charts

Data Cleaning

  • Data cleaning introduction
  • Removing duplicates
  • Fuzzy matching
  • Standardizing data
  • Handling missing data
  • Deleting columns and rows
  • Separating and combining columns
  • Data cleaning practice

Projects

  • Project 1 - US debt
  • Project 2 - NYC transportation

Congratulations

  • Congratulations

About us

LyndaKade is a leading learning platform that helps people learn business, software, technology, and creative skills to achieve personal and professional goals.

Phone numberAparat ChannelTelegram SupportTelegram ChannelInstagram Page

All rights to this site belong to LyndaKade.

Terms of Service|Privacy Policy

نماد الکترونیک enamad در صورت اتصال با آی‌پی داخل کشور، نمایش داده خواهد شد.
logo-samandehi - لوگو ساماندهی
Zarinpal
Zibal