Excel Predictive Analytics, Automation, And Ai : No-Code

Microsoft Excel Predictive Analytics, Automation, and AI Tools: The Complete No-Code Guide for Every Professional

What you'll learn

Master Predictive Analytics Using Excel Students will learn how to use Excel’s built-in tools and functions, such as LINEST and TREND

Automate Repetitive Tasks with Macros and VBA Learners will gain the skills to create and implement Excel macros and basic VBA to automate repetitive tasks

Apply Advanced Forecasting Techniques Students will explore and apply advanced forecasting methods, such as exponential smoothing to predict trends

Learners will develop dynamic, interactive dashboards using PowerPivot, Power BI, and Excel’s advanced charting tools to present insights effectively.

Requirements

Basic Understanding of Excel Students should have a basic familiarity with Excel, including knowledge of standard functions like SUM, AVERAGE, and simple cell formatting.

Access to Excel Software Learners will need access to Microsoft Excel (preferably version 2021 or Excel 365) to follow along with the exercises and practical applications.

No Coding Experience Required No prior programming or coding knowledge is needed, as this course focuses on no-code solutions for predictive analytics and automation using Excel.

A Desire to Learn Predictive Analytics While no advanced math or analytics background is required, students should be motivated to explore how data-driven decisions can be made using Excel’s tools.

Description

Here’s a course description for Excel Predictive Analytics, Automation, and AI : No-Code.Unlock the full potential of Excel with this comprehensive course designed to take you from the basics of predictive analytics to advanced forecasting, automation, and data visualization—all without writing a single line of code.In this course, you'll learn how to use Excel’s powerful tools to analyze data, make accurate predictions, and automate repetitive tasks, allowing you to save time and drive smarter business decisions. From forecasting sales trends to building dynamic dashboards, this course is packed with practical, real-world applications that you can start using immediately.What You’ll Learn:Master predictive analytics and forecasting using Excel’s built-in functions like LINEST, TREND, and Forecast.ETS.Automate repetitive tasks using Excel macros and VBA to boost efficiency and save time.Create dynamic, interactive dashboards with PowerPivot and Power BI, visualizing key business insights with advanced charts and slicers.Leverage AI tools like ChatGPT to enhance your Excel workflows and improve decision-making.This course is perfect for business professionals, analysts, small business owners, and Excel users looking to take their skills to the next level by integrating automation and data-driven decision-making into their work.No coding required—just a desire to improve your Excel skills and become an expert in predictive analytics and automation!

Overview

Section 1: Introduction - Course Outline and Learning Objectives

Lecture 1 Introduction

Lecture 2 Learning Objectives

Section 2: Foundations of Predictive Analytics with Excel

Lecture 3 Foundations of Predictive Analytics

Lecture 4 Forecast sales using 2D line chart and forecast sheet

Lecture 5 Trend and Linest

Lecture 6 Forecasting with Exponential smoothing and Excel Exercise

Section 3: Advanced Forecasting and Automation in Excel

Lecture 7 What - If Analysis Intro

Lecture 8 What - If Analysis Data Table in Excel

Lecture 9 Scenario Manager

Lecture 10 Solver Intro

Lecture 11 Excel Solver Exercise

Section 4: Automating Workflows with Excel Macros, VBA, and AI Tools

Lecture 12 Macro in Excel

Lecture 13 Python in Excel

Lecture 14 Results Interpretation of Python Exercise

Lecture 15 ChatGPT_for_Excel_Tips

Lecture 16 ChatGPT response to Excel - Excel Functions and OCR

Lecture 17 Chatgpt response to query - Excel Pivot Table

Lecture 18 Chatgpt response to Excel 4 - Generate VBA code

Lecture 19 Chatgpt response to Excel 5 - Your Personal Tutor

Lecture 20 Chatgpt response to Excel 6 - Analyze Excel File

Lecture 21 Chatgpt response - Summary

Section 5: Advanced Machine Learning Models without Coding

Lecture 22 Intro to Logistic regression model

Lecture 23 Logistic regression model - example

Lecture 24 Logistic regression model - example interpretation

Lecture 25 Intro to K-means clustering

Lecture 26 K- means clustering in excel

Lecture 27 Intro to Weighted Scoring

Lecture 28 Weighted Scoring - Excel Example

Section 6: Dynamic Data Visualization and Interactive Dashboards

Lecture 29 Introduction to PowerBI

Lecture 30 Introduction to Powerpivot with example in excel and interpretation

Lecture 31 Utility Bills Tracking

Lecture 32 Machine Learning in Excel

Lecture 33 Sparklines

Section 7: Connecting Excel to Easy Data Sources for Analysis

Lecture 34 Power Query and Pivot Tables in Excel

Lecture 35 Auto Update

Section 8: Conclusion and Next Steps

Lecture 36 Conclusion and Next Steps

Business Professionals Anyone working in business roles such as finance, marketing, sales, or operations who needs to make data-driven decisions and improve their forecasting capabilities without relying on complex coding.,Analysts and Data Enthusiasts People in data analysis roles or those interested in learning practical, no-code methods for performing predictive analytics and creating powerful data visualizations using Excel.,Small Business Owners and Entrepreneurs Entrepreneurs looking to optimize their business performance by forecasting sales, automating tasks, and gaining insights from their data using easy-to-understand tools in Excel.,Excel Users Seeking Advanced Skills Intermediate Excel users who want to elevate their skills by learning advanced Excel features such as macros, Solver, PowerPivot, and data visualization techniques to boost their productivity and analysis capabilities.