Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Subscribe
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Data Science & Excel Mastery: AI Forecasting, VBA Automation
Rating: 5.0 out of 5(1 rating)
1 students

Data Science & Excel Mastery: AI Forecasting, VBA Automation

Learn Excel automation with VBA, AI forecasting using LSTM, dynamic dashboards, and simple business strategies explained
Created byGaurav Chaurasia
Last updated 9/2025
English

What you'll learn

  • Professional approaches to data analysis & reporting.
  • Clear explanation of LSTM in Excel with practical use cases.
  • Applying technical analysis concepts like Fibonacci for performance boost.
  • Understanding sorting algorithms visually in Excel.
  • Improving algorithm execution in Excel for faster results.
  • Building dynamic dashboards with complex formulas.
  • Automating Excel with VBA from scratch.
  • Predicting prices using deep learning models (LSTM).

Course content

1 section • 10 lectures • 4h 20m total length

  • Introduction2:29

    "Hi, and welcome to this course!

    My name is Gaurav Chaurasia, and I specialize in Data Science, Excel automation, AI forecasting, and VBA scripting. Over the years, I’ve worked on projects that combine data analytics and automation to solve real-world business problems. I’m really excited to share my knowledge with you."

    This course is designed to help you master Excel for Data Science and go beyond the basics.

    By the end of this course, you will:


    Use Excel to analyze and visualize data effectively,


    Build AI forecasting models for accurate predictions, and


    Automate repetitive tasks with VBA scripting.



    My goal is to make sure you can confidently apply these skills in your job, studies, or personal projects


    Here’s a quick overview of what we’ll cover together:


    1. Excel Foundations – Advanced formulas, pivot tables, and data visualization.



    2. AI Forecasting – Applying data science techniques to make predictions using Excel and Python concepts.



    3. VBA Automation – Writing scripts to automate tasks and save hours of work.



    4. Real Projects & Case Studies – Step-by-step practice to apply everything you learn.




    Each section has hands-on examples so you can practice and build real skills, not just theory."


    This course is built for beginners to intermediate learners in data science and Excel. Don’t worry if you’re new — we’ll go step by step.


    So, let’s get started on this exciting journey of Data Science & Excel Mastery. I’ll see you in the first lesson!"


  • Understanding sorting algorithms visually in Excel.5:40

    After completing this lecture, students will be able to:


    - Understand the basic idea of how sorting algorithms work in simple steps. 

    - See how Bubble Sort can be shown visually inside Excel. 

    - Practice creating a small model in Excel to perform sorting. 

    - Build confidence in learning other algorithms through visual examples.

  • Bitcoin Price Forecasting with LSTM: Simple AI Model for Crypto Insights1:10:21

    Understand how LSTM can be applied to Bitcoin price prediction, explore simple forecasting steps, and gain insights for crypto trend analysis with Excel.

  • Excel Goal Seek Made Simple: Data Analysis & What-If Scenarios for Beginners7:21

    Learn how to use Excel Goal Seek for simple what-if analysis, understand data dependencies, and apply it to basic business and personal decision-making.


  • NIFTY Stock Forecast with LSTM AI: Simple Deep Learning Approach Using Excel59:19

    Understand basics of applying LSTM for NIFTY stock prediction, explore forecasting steps, and gain confidence in using AI with real financial data.

    NIFTY Stock Forecast with LSTM AI: Simple Deep Learning Approach Using Excel & Kaggle Data


  • LSTM Demystified: Simple Visual Explanation of AI Memory & Sequence Learning3:50

    LSTM Demystified: Simple Visual Explanation of AI Memory & Sequence Learning in Excel

    Gain a clear understanding of how LSTM works, see its memory concept visually, and learn the basics of applying it to simple AI problems in Excel.


  • Dynamic Sales Dashboards in Excel: Advanced Formulas with INDEX, MATCH & SUMPROD59:21

    Dynamic Sales Dashboards in Excel: Advanced Formulas with INDEX, MATCH & SUMPRODUCT

    Learn to build dynamic sales dashboards in Excel using INDEX, MATCH, and SUMPRODUCT, and apply formulas for better business reporting and insights.


  • Excel VBA Macro Tutorial: Remove Duplicates Easily with Simple Code from Scratch19:05

    Excel VBA Macro Tutorial: Remove Duplicates Easily with Simple Code from Scratch

    Understand how to write a simple VBA macro in Excel to remove duplicates, automate data cleaning, and save time in repetitive business tasks.


  • Fibonacci Made Superfast: Boost Performance with Python Memoization, Caching11:20

    Fibonacci Made Superfast: Boost Performance with Python Memoization, Caching & Decorators

    Learn how to speed up Fibonacci calculations using Python memoization, caching, and decorators, and understand how performance improves with simple code changes.


  • Boost your Excel skills with real-world array formula examples!21:27

    Boost your Excel skills with real-world array formula examples!
    In this lecture, we cover 10 practical Excel formulas step by step, using a simple dataset of employees, departments, sales, and targets.

    You’ll learn how to:

    • Calculate totals, averages, and maximums with conditions

    • Count how many employees achieved targets

    • Extract unique values like department lists

    • Get names of achievers with a single formula

    • Rank employees by sales

    • Find the first target achiever

    • Perform sales vs target comparisons

    This lecture is designed for students, beginners, and professionals who want to make their Excel skills stronger.

    By the end, you’ll be able to apply array formulas confidently in your projects, reports, and data analysis.

      Perfect for:

    • Data analysts

    • Students preparing for placements

    • Professionals improving Excel reporting

    • Anyone who wants to save time with smart formulas

Requirements

  • A computer with Excel installed (2016 or later preferred).
  • Willingness to learn AI concepts with simple explanations.
  • No prior coding experience required (VBA will be taught from scratch).
  • Basic knowledge of Microsoft Excel.

Description

This course is designed for learners who want to combine Excel skills with simple data science and automation techniques. You do not need any prior coding or advanced background to follow along. Each topic is explained in a simple, step-by-step way so you can apply it directly in your own work.


You will begin with Excel automation using VBA, where you will learn how to write small codes to remove duplicates and automate tasks. Next, you will explore data science concepts in Excel, such as how LSTM models can be used for basic forecasting of Bitcoin and NIFTY stock market trends. These concepts are explained visually and practically, so even beginners can understand the idea of AI in business forecasting.


The course also covers business-focused analysis using Excel, including building a dynamic sales dashboard with advanced formulas like INDEX, MATCH, and SUMPRODUCT. You will learn how sorting algorithms like Bubble Sort can be visualized in Excel, making algorithms easy to understand. Technical analysis with Fibonacci is also included, where you see how to improve performance using Python memoization, caching, and decorators.


By the end of the course, you will be able to get hint on how to: 

- Use Excel VBA to automate simple tasks. 

- Understand the basics of AI forecasting models like LSTM. 

- Build dashboards for data reporting and analysis. 

- Apply algorithmic thinking and technical analysis in Excel and Python. 


This course is practical, simple, and project-based. It gives you enough ideas and examples to confidently apply Excel automation, AI forecasting, and business analysis in your studies, freelancing, or work projects.


Who this course is for:

  • Freelancers who want to upskill and deliver Excel/AI projects to clients.
  • Anyone curious about applying LSTM and AI in simple Excel environments.
  • Beginners who want to explore Excel automation.
  • Data analysts, business analysts, finance professionals.
  • ML Traders Algo Traders

Report abuse