End-To-End Data Analysis Projects With Microsoft Excel

Data Analysis Internship with Microsoft Excel

What you'll learn

Data Collection & Importing – Gather and import raw data from multiple sources.

Data Cleaning & Preparation – Use Excel tools to clean and structure data for analysis.

Data Transformation – Apply formulas, Power Query, and other techniques for manipulation.

Exploratory Data Analysis (EDA) – Identify trends, patterns, and anomalies in data.

Data Visualization – Create professional charts, graphs, and dashboards.

PivotTables & PivotCharts – Summarize and analyze large datasets efficiently.

Statistical Analysis – Apply descriptive and inferential statistics for decision-making.

Business Insights & Reporting – Translate data findings into actionable insights.

Real-World Projects – Work on end-to-end case studies from various industries.

Data-Driven Decision-Making – Use insights to drive strategic business solutions.

Requirements

Basic Knowledge of Microsoft Excel – Familiarity with Excel’s interface and basic functions.

Understanding of Data Concepts – Some exposure to data analysis or business intelligence is helpful but not required.

Computer with Microsoft Excel Installed – Preferably Excel 2016 or later (Office 365 recommended).

Analytical Mindset – Willingness to explore data, identify patterns, and derive insights.

Eagerness to Learn – A passion for solving real-world problems with data-driven approaches.

Description

Course Description:Unlock the full power of Microsoft Excel and master the end-to-end data analysis process with real-world projects. This course is designed to take you through the complete lifecycle of a data analysis project, from data collection and cleaning to visualization and interpretation, helping you turn raw data into actionable insights.In today’s data-driven world, businesses rely on Excel for critical decision-making. Whether you’re a beginner or an experienced professional, this course will equip you with the skills to analyze, visualize, and present data effectively. You will work on practical projects that mirror industry scenarios, helping you build the confidence to apply your knowledge in real-world situations.What You’ll Learn:Data Cleaning & Preparation – Remove duplicates, handle missing data, and structure datasets efficientlyData Exploration & Analysis – Apply Excel functions, PivotTables, and Power Query for deep insightsAdvanced Excel Functions – Use LOOKUPs, INDEX-MATCH, IF formulas, and statistical toolsData Visualization – Create interactive dashboards and reports using charts and graphsTrend Analysis & Forecasting – Identify patterns and make predictions based on dataAutomating Workflows – Use Power Query to simplify and streamline data analysisWho Should Take This Course?Aspiring Data Analysts looking to build real-world projectsBusiness Professionals who want to improve their Excel analytics skillsStudents & Researchers needing hands-on data analysis experienceEntrepreneurs & Decision-makers looking to make data-driven decisionsBy the end of this course, you will be able to confidently analyze, interpret, and present data using Microsoft Excel—an essential skill for professionals across industries.Enroll now and start your journey into data analysis with Excel.

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: End-to-end Projects with Microsoft Excel

Lecture 2 Project 1 - The Bosh Sales Agency

Lecture 3 Project 2 - English Premier League Table Dashboard

Lecture 4 Project 3 - Demographic Analysis

Lecture 5 Project 4 - Mini Super Store Data Set Analysis Pt 1

Lecture 6 Project 4 - Mini Super Store Data Set Analysis Pt 2

Lecture 7 Project 5 - MacTouch Global Enterprise

Lecture 8 Project 6 - Salaries of Data Scientist Pt 1

Lecture 9 Project 6 - Salaries of Data Scientist Pt 2

Lecture 10 Project 6 - Salaries of Data Scientist Pt 3

Lecture 11 Project 6 - Salaries of Data Scientist Pt 4

Lecture 12 Project 7 - School XYZ Students Report Pt 1

Lecture 13 Project 7 - School XYZ Students Report Pt 2

Lecture 14 Project 7 - School XYZ Students Report Pt 3

Lecture 15 Project 8 - Sales Transaction Data Analysis

Lecture 16 Project 9 - Sales Data Executive Reporting Pt 1

Lecture 17 Project 9 - Sales Data Executive Reporting Pt 2

Lecture 18 Project 9 - Sales Data Executive Reporting Pt 3

Lecture 19 Project 10 - Kracks Consultant & Infrastructure

Lecture 20 Project 11 - Flourish Fish Farms Pt 1

Lecture 21 Project 11 - Flourish Fish Farms Pt 2

Lecture 22 Project 12 - Tunia Technologies

Lecture 23 Project 13 - Quick Job Applicant Data 1

Lecture 24 Project 13 - Quick Job Applicant Data 2

Lecture 25 Project 14 - 2023 Presidential Election Poll

Lecture 26 Project 15 - Madox Cooperation

Lecture 27 Project 16 - RushTech Financials 1

Lecture 28 Project 16 - RushTech Financials 2

Lecture 29 Project 17 - Credit Card Spending Habit in India 1

Lecture 30 Project 17 - Credit Card Spending Habit in India 2

Lecture 31 Project 17 - Credit Card Spending Habit in India 3

Lecture 32 Project 18 - Data Analysis Assignment - Freelancing

Lecture 33 Project 19 - Kace Communications

Lecture 34 Project 20 - Data Scraping & Cleaning

Lecture 35 Project 21 - UK Test of Excel for a Job

Lecture 36 Project 22 - McSmith Recruiting Services

Lecture 37 Project 23 - LayKon Designs

Lecture 38 Project 24 - Vrinda Store Annual Dashboard

Lecture 39 Project 25 - Rocry Shopping Company

Lecture 40 Project 26 - Facebook Task

Lecture 41 Project 27 - Sales Upload Time

Lecture 42 Project 28 - TLD Amount Reconciliation

Lecture 43 Project 29 - Form Entry Data Cleaning With Excel Function & Excel Macro

Lecture 44 Project 30 QUESTION - Sales Record Template

Lecture 45 Project 30 SOLUTION - Sales Transaction Template

Beginners in Data Analysis – Anyone looking to start a career in data analysis using Microsoft Excel.,Business Professionals – Managers, analysts, and decision-makers who need to analyze data for strategic insights.,Students & Graduates – Individuals looking to build practical data analysis skills for academic or career growth.,Entrepreneurs & Small Business Owners – Those who want to leverage data for better business decisions.,Freelancers & Consultants – Professionals looking to enhance their Excel-based data analysis expertise.,Anyone Interested in Data-Driven Decision Making – No prior data analysis experience required!