Tags
Language
Tags
October 2025
Su Mo Tu We Th Fr Sa
28 29 30 1 2 3 4
5 6 7 8 9 10 11
12 13 14 15 16 17 18
19 20 21 22 23 24 25
26 27 28 29 30 31 1
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

    ( • )( • ) ( ͡⚆ ͜ʖ ͡⚆ ) (‿ˠ‿)
    SpicyMags.xyz

    Unlock Excel'S Potential: Harness Python Via The Py Function

    Posted By: ELK1nG
    Unlock Excel'S Potential: Harness Python Via The Py Function

    Unlock Excel'S Potential: Harness Python Via The Py Function
    Published 1/2024
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 1.41 GB | Duration: 2h 3m

    PY Function in Excel|| Pandas|| Matplotlib|| Seaborn and more

    What you'll learn

    Data analysts

    Excel or Python users

    University students and professionals

    General public who wants to learn how to apply python in excel

    Requirements

    There are no technical prerequisites to follow the course, it will be explained from the most basic, but having knowledge of python and excel will help.

    To date, python is only available in Microsoft 365, so an account with a plan will be required.

    Description

    Welcome to our comprehensive course focusing on leveraging the PY function in Excel! This learning journey is tailored for individuals seeking to unlock the potential of Python within Microsoft Excel, utilizing the PY function to streamline complex tasks and automate processes with precision.What You'll LearnIntroduction to Python and Excel:Recognize the significance of Python's integration into Excel.Acquire familiarity with Python's ecosystem within Excel.The PY Function:Detailed exploration of the PY function and its application in Excel.Master running and managing Python scripts directly from your spreadsheets.Python Libraries in Excel:Practical implementation of diverse Python libraries like NumPy and Pandas to efficiently handle Excel data.Crafting custom charts and conducting advanced data analyses.Practical Applications:Real-world scenarios demonstrating the synergy between Python and Excel.Prerequisites: While a basic understanding of Excel and Python is beneficial, it's not mandatory as we cover foundational aspects within the course.What's Included:Engaging video lessons and comprehensive tutorials.Access to downloadable resources, including sample spreadsheets.Engaging projects and exercises to reinforce your learning.Ongoing support from our vibrant community and instructor guidance.A certification of accomplishment upon finishing the course.Join Us! Embark on a transformative journey where Python seamlessly integrates with Excel, elevating your analytical prowess, streamlining automation, and enhancing decision-making capabilities. If you're eager to grasp the full potential of the PY function in Excel and wield indispensable tools for professional triumph, this course is tailor-made for you!Enroll today and kickstart your path toward mastering Excel empowered by Python. Our classroom awaits your arrival!

    Overview

    Section 1: Introduction

    Lecture 1 Introduction

    Section 2: Course Materials

    Lecture 2 Course Materials

    Section 3: Microsoft Insider

    Lecture 3 Insider Program

    Section 4: Basics

    Lecture 4 How to use PY Function

    Lecture 5 The Python Output

    Lecture 6 Diagnostics

    Lecture 7 Initialization

    Lecture 8 Rules to refer the code

    Section 5: Python Review, but in Excel!

    Lecture 9 String

    Lecture 10 Numbers

    Lecture 11 List

    Lecture 12 Tuples

    Lecture 13 Dictionaries

    Lecture 14 Sets

    Lecture 15 Range and NoneType

    Lecture 16 Conditions

    Lecture 17 For Loop

    Lecture 18 Functions

    Section 6: Use of Python Libraries in Excel

    Lecture 19 Overview of Python Libraries in Excel

    Section 7: Pandas

    Lecture 20 Dataframe: Basic Analysis

    Lecture 21 Loc v.s iloc

    Lecture 22 Loc

    Lecture 23 Iloc

    Lecture 24 Direct Selection

    Lecture 25 Queries

    Lecture 26 Duplicates

    Lecture 27 Concat and Merge

    Lecture 28 Reshape: from long to wide

    Lecture 29 Reshape: from wide to long

    Lecture 30 Missing Values

    Section 8: Visualization: matplotlib and seaborn

    Lecture 31 Matplotlib: A line plot

    Lecture 32 Matplotlib: Scatter

    Lecture 33 Seaborn

    Lecture 34 More Graphs

    Section 9: Statsmodels

    Lecture 35 Creating the Model

    Lecture 36 Prediction

    Excel or Python users who want to combine the power of both tools