Data Analytics Guide With Microsoft Excel And Chatgpt

Master Data Analytics with Microsoft Excel and ChatGPT: Unleash the Power of Data!

What you'll learn

Understanding data analytics fundamentals.

Navigating Microsoft Excel for data-related tasks.

Learning basic and advanced Excel functions.

Data cleaning, sorting, and filtering.

How to use Excel's Power Query Editor for data transformation.

Mastering Pivot Tables for visualization.

Automating data processes using ChatGPT.

Using logical operators and nested formulas.

Creating professional data reports.

Applying data aggregation and text functions.

Real-world case studies for practical learning.

Requirements

A computer with Microsoft Excel installed.

Basic computer literacy.

No prior data analytics or Excel experience is required.

Description

Welcome to "Data Analytics Guide with Microsoft Excel and ChatGPT"! This course is designed to transform your understanding of data analytics, even if you have no prior experience. Data is the new gold, and knowing how to analyze it can elevate your professional and personal life. With this course, you will become a master of data analytics using Microsoft Excel, one of the most powerful and widely-used tools in the industry.Why this course stands out is its unique integration of Microsoft Excel with AI technology, specifically ChatGPT. Whether you’re a beginner or someone looking to sharpen your skills, this course is structured in a way that ensures you're comfortable while learning. Imagine having the power of Excel, combined with AI-driven insights and formulas from ChatGPT, to analyze and manipulate data like never before!This course starts from the very basics, making it perfect for those with little to no experience in Excel. You will begin by understanding what data analytics is and why it's critical in today's business world. From there, you'll be guided step-by-step through mastering Excel's core functions, data cleaning, and formula application. Throughout the journey, ChatGPT will be introduced to show you how to automate and streamline your workflow, making your data analysis faster, more efficient, and precise.Data Analytics is not just a technical skill, but an essential one that opens doors to countless opportunities. Every business, organization, and entrepreneur relies on data-driven decisions to stay competitive, and you can be at the forefront of that decision-making. If you skip this course, you risk falling behind in a world where data literacy is no longer a choice, but a necessity. Don’t let that happen. Enroll today and become a data expert, confident in your ability to deliver impactful insights and make smarter decisions.

Overview

Section 1: Introduction

Lecture 1 What is Data Analytics?

Lecture 2 How it Works?

Lecture 3 Tools For Data Analytics

Section 2: Basics of Excel Foundation - Part 1

Lecture 4 Getting Tools Ready to Start

Lecture 5 Cells, Location & Cell Point

Lecture 6 Format of The Cell Point

Lecture 7 Types of Data Types

Lecture 8 Conditional Formatting

Lecture 9 Using Filters Feature

Lecture 10 Remove Duplicated From Data

Lecture 11 Using ChatGPT For Learning

Section 3: Basics of Excel Foundation - Part 2

Lecture 12 Downloading The Dataset and Using it

Lecture 13 Format, Sorting, Filters & Tables

Lecture 14 Text to Columns Feature

Lecture 15 Flash Fill Option by AI

Lecture 16 Dealing with Blanks & Null Values

Lecture 17 Basis of Function - IF

Lecture 18 Logical Operators Basics

Lecture 19 Nested IF and IFs

Lecture 20 Utilize ChatGPT for Formulas

Section 4: Basics of Excel Foundation - Part 3

Lecture 21 Aggregate & Conditional Aggregate Values

Lecture 22 Sum, Sumif, and Sumifs

Lecture 23 Count, Countif, Countifs

Lecture 24 Basic Text Functions

Lecture 25 Date and Time Functions

Lecture 26 Numeric Functions Basics

Section 5: Basics of Excel Foundation - Part 4

Lecture 27 Lookup Function and Freezing

Lecture 28 Vlookup Function

Lecture 29 Xlookup - Simple & Powerful

Section 6: Power Query Editor (PQE) in Excel

Lecture 30 Overview with Power Query Editor

Lecture 31 Loading Data From Web

Lecture 32 Extracting All Data - Transform

Lecture 33 Cleaning Data Before Loading

Section 7: Features of Power Query Editor

Lecture 34 Types of Joints Available

Lecture 35 Conditional & Custom Column

Lecture 36 Loading the Data

Section 8: Pivot Table Basics & Modelling

Lecture 37 Enable Pivot Table in Excel

Lecture 38 Star & Snow Flake Scheme

Lecture 39 Cardinality Cconcepts

Section 9: Pivot Tables & Visualisations

Lecture 40 Learning Pivot Tables

Lecture 41 Filters and Rows

Lecture 42 Chart Types & Use Cases

Lecture 43 Slicers & Timeline

Section 10: Building Connections in Data

Lecture 44 Connections with Shapes

Lecture 45 Connection with Measures

Lecture 46 Connections with Buttons

Lecture 47 Real Practical Case

Lecture 48 Bonus

Beginners wanting to learn data analytics from scratch.,Professionals looking to boost their career by adding data analytics to their skill set.,Small business owners and entrepreneurs who want to make data-driven decisions.,Students interested in learning how to work with Excel efficiently.,Anyone who wants to automate data processes using AI tools like ChatGPT.