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Free Download Udemy - Forecasting In Microsoft Excel Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 395.40 MB | Duration: 0h 41m Discover Trend Forecasting in Excel: Learn to Predict Sales, Analyze Data, and Make Informed Decisions. What you'll learn Use FRED to obtain forecast data. Create linear and seasonal sales forecasts. Incorporate confidence levels into predictions. Utilize forecast sheets for comprehensive analysis. Requirements Basic Excel skills. Access to Microsoft Excel (preferably Excel 2016 or newer). Description **This course includes downloadable course instructor files and exercise files to work with and follow along.**Welcome to the Forecasting in Microsoft Excel course, a comprehensive tutorial designed to equip you with the skills to forecast trends and make informed decisions using Excel. This course teaches you how to obtain forecast data using FRED (Federal Reserve Economic Data), create linear and seasonal sales forecasts, incorporate confidence levels into your predictions, and utilize forecast sheets for comprehensive analysis.With practical examples and guided exercises, you can develop practical skills that you can apply immediately in your personal or professional life. By mastering these techniques, you should be able to accurately predict future trends, optimize business strategies, and confidently make data-driven decisions.Whether you're a business professional, analyst, or student, this course will empower you to harness the power of forecasting in Excel to drive success in your endeavors.In this course, students will learn how to:Use FRED to obtain forecast data.Create linear and seasonal sales forecasts.Incorporate confidence levels into predictions.Utilize forecast sheets for comprehensive analysis.This course includes:39 minutes of video tutorials8 individual video lecturesCourse and Exercise Files to follow alongCertificate of completion Overview Section 1: Forecasting Lecture 1 Course Introduction Lecture 2 WATCH ME: Essential Information for a Successful Training Experience Lecture 3 DOWNLOAD ME: Course Files Lecture 4 DOWNLOAD ME: Exercise Files Lecture 5 Getting Forecast Data with FRED Lecture 6 Creating a Linear Sales Forecast Lecture 7 Creating a Sales Forecast with Seasonality Lecture 8 Adding Confidence Levels Lecture 9 Using Forecast Sheets Lecture 10 Course Exercise Lecture 11 Course Close Anyone who wants to learn how to forecast trends and make data-driven decisions using Microsoft Excel.,Business professionals who work in sales, marketing, or management to help predict future trends and improve their strategies to achieve better results. Homepage: ?https://www.udemy.com/course/forecasting-in-microsoft-excel/ Rapidgator https://rg.to/file/f716f7533d593746a64ff13f49b8eb0b/qfqbx.Forecasting.In.Microsoft.Excel.rar.html Fikper Free Download https://fikper.com/mVAivvssNK/qfqbx.Forecasting.In.Microsoft.Excel.rar.html No Password - Links are Interchangeable

Free Download Udemy - Master Time Series Forecasting with Python 2025 Published: 3/2025 Created by: Anuradha Agarwal MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 47 Lectures ( 6h 7m ) | Size: 2.42 GB Learn ARIMA, SARIMA, and SARIMAX from scratch-master time series forecasting, model diagnostics, real-world application What you'll learn Understand Time Series Fundamentals - Grasp key concepts like trend, seasonality, stationarity, and autocorrelation. Apply Classical Forecasting Models - Master ARIMA, SARIMA, and SARIMAX for short-term and long-term forecasting. Preprocess & Transform Data - Handle missing values, apply differencing, Box-Cox transformations, and ensure stationarity. Evaluate & Optimize Models - Use AIC, BIC, RMSE, and residual diagnostics to fine-tune forecasts for real-world accuracy. Requirements Basic Python programming knowledge Beginner Level Familiarity with data analysis libraries like Pandas & NumPy No prior time series experience needed-everything is explained from the ground up! Description In this engaging and hands-on course, you will master time series forecasting using Python, focusing on real-world applications. You'll begin by understanding the core concepts of time series data, including trend, seasonality, noise, and stationarity. Learn why stationarity is critical for accurate modeling and how to transform non-stationary data using differencing, log transformations, and seasonal adjustments.The course dives into essential forecasting techniques such as ARIMA, SARIMA, and SARIMAX, along with the mathematical intuition behind these models. You'll gain a deep understanding of autocorrelation, partial autocorrelation, and how to interpret model parameters to optimize forecasting accuracy and prediction power.Through practical exercises, you'll learn how to preprocess and visualize time series data, handle missing values, and apply transformations. You will also gain hands-on experience with model selection, diagnostics, and evaluation metrics like MAE, RMSE, and AIC, helping you understand the strengths and limitations of different models.The course covers rolling and recursive forecast approach, preparing you to predict unknown future data effectively. The significance of model evaluation will be highlighted throughout, ensuring your forecasting models are reliable. By the end of this course, you'll be equipped to tackle real-world forecasting challenges, from sales predictions to financial forecasting. With interactive tutorials, step-by-step projects, and real-world datasets, you'll confidently build and evaluate forecasting models in Python, gaining a solid foundation in both the theory and practice of time series analysis. Who this course is for This course is designed for data enthusiasts, analysts, and professionals who want to master time series forecasting using Python. Whether you're a beginner in time series analysis or an experienced practitioner looking to deepen your understanding of ARIMA, SARIMA, and SARIMAX, this course will equip you with the skills to analyze, model, and forecast real-world data effectively. Students & Researchers - Gain hands-on experience with real-world datasets and industry applications. Data Analysts & Scientists - Improve your forecasting skills for business, finance, and operations. Machine Learning & AI Practitioners - Learn classical time series models before diving into deep learning approaches. Economists & Financial Analysts - Predict market trends, inflation rates, and sales performance. Business & Product Managers - Make data-driven decisions with accurate demand forecasting. If you want to turn raw time series data into powerful business insights, this course is for you! Homepage: https://www.udemy.com/course/master-time-series-forecasting-with-python-2025/ Rapidgator https://rg.to/file/485c5ca86528875556a4b56d33d97470/gudjt.Master.Time.Series.Forecasting.with.Python..2025.part1.rar.html https://rg.to/file/8b6d6d6dd8e11a3d800a96117b05e9f3/gudjt.Master.Time.Series.Forecasting.with.Python..2025.part2.rar.html https://rg.to/file/44dc22bd734b79b79727eb9569a4a3c0/gudjt.Master.Time.Series.Forecasting.with.Python..2025.part3.rar.html Fikper Free Download https://fikper.com/6dywJcXalD/gudjt.Master.Time.Series.Forecasting.with.Python..2025.part1.rar.html https://fikper.com/WSK3B4zZNU/gudjt.Master.Time.Series.Forecasting.with.Python..2025.part2.rar.html https://fikper.com/SMUcuUf2Lc/gudjt.Master.Time.Series.Forecasting.with.Python..2025.part3.rar.html No Password - Links are Interchangeable

Free Download Marketing Analyst Learn Sales Forecasting & Market Analysis Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 359.81 MB | Duration: 1h 3m Mastering AI-Driven Sales Forecasting, Market Analysis, customer Segmentation, Predictive Analytics ML models in Python. What you'll learn Analyze Market Trends with Python Identify and analyze key market trends and consumer behaviors using Python tools. Develop Sales Forecasting Models Build predictive models to forecast sales and understand their impact on marketing strategies. Leverage Data for Market Insights Extract, manipulate, and visualize data to generate valuable market insights and recommendations. Apply Statistical Methods to Market Analysis Utilize statistical techniques to assess market potential and optimize marketing efforts. Requirements Basic understanding of marketing concepts. Familiarity with Python programming (e.g., variables, loops). Access to a computer with Python installed. No advanced data analysis experience required, as foundational concepts will be covered. Description Welcome to Comprehensive Marketing Data Analysis and YouTube Analytics using Python, an in-depth, hands-on course designed to equip you with the practical skills needed to leverage Python for marketing data analysis and analytics across various platforms. This course covers a wide range of topics, from YouTube Analytics and Marketing Data Analysis to more advanced case studies using machine learning in marketing, customer segmentation, churn detection, and AB testing. Whether you're a marketing professional, data analyst, or a Python enthusiast, this course will take you from beginner to advanced levels, empowering you to make data-driven decisions in marketing.Part 1: Marketing Data Analysis with Pandas and PythonBuilding on the foundations of YouTube Analytics, this part focuses on general marketing data analysis using Python, emphasizing practical techniques for data-driven marketing strategies.Data Exploration and Preprocessing:Get hands-on with Pandas to clean, preprocess, and explore marketing datasets. Understand how to handle inconsistencies and anomalies to ensure reliable insights.Customer Segmentation:Learn to segment customers effectively, identifying unique profiles and tailoring marketing efforts accordingly. Utilize clustering algorithms to classify customers based on behaviors and preferences.Sales Forecasting and Time Series Analysis:Gain expertise in time series analysis for sales forecasting. Apply techniques like moving averages and exponential smoothing to project future trends.Automating Marketing Analysis:Develop automation skills to streamline data analysis workflows, save time, and scale your analytical capabilities with Python scripts that generate consistent and reliable insights.Marketing Metrics and Campaign Visualization:Dive into key marketing metrics such as CTR, conversion rates, and customer lifetime value. Visualize campaigns using Python libraries to create data-driven strategies.Part 2: YouTube Analytics using PythonYouTube is a treasure trove of marketing insights. This section shows you how to collect, process, and analyze YouTube data with Python.Introduction to YouTube Analytics:Get an overview of YouTube Analytics and how to extract and interpret data using Python. Understand the significance of various metrics for marketing strategies.Data Collection and Processing:Learn how to use the YouTube API for data extraction, covering setup, authentication, and data merging techniques.Text Processing and Sentiment Analysis:Analyze video comments to gauge audience sentiment using NLP techniques in Python.Network Analysis:Explore content creator-audience relationships through network analysis, measuring network metrics, and visualizing connections.Geospatial Data and Mapping:Incorporate geographical data using JSON and create maps to plot user distributions and demographics.Part 3: Banking Data Analysis and Case StudyIn this section, you'll work on a case study using the Kaggle banking dataset, focusing on customer demographics, transaction data, and marketing campaign responses to develop targeted marketing strategies for the banking sector.Part 4: Machine Learning in MarketingDelve into machine learning applications in marketing, including supervised and unsupervised learning, predictive modeling, and budget optimization.Part 5: Customer SegmentationLearn advanced customer segmentation techniques to refine marketing strategies, focusing on clustering and customer behavior analysis.Part 6: Churn DetectionApply machine learning to detect customer churn, understanding how to predict and mitigate potential losses in customer retention.Part 7: Customer Analytics and AB TestingMaster customer analytics with the Google Analytics Customer Revenue Prediction dataset, and gain proficiency in AB testing to measure marketing impact, calculate lift, and perform significance testing with Python.Learning Outcomes:Collect, process, and analyze marketing data and YouTube insights using Python.Build and evaluate predictive models to forecast sales, detect churn, and segment customers.Visualize complex metrics and create maps for geographical insights.Perform sentiment analysis, network analysis, and AB testing for data-driven marketing decisions.Requirements:Basic Python programming knowledge is helpful but not required.No prior marketing or data analysis experience needed; all concepts are introduced from scratch.Intended Audience: This course is ideal for aspiring data analysts, marketers, and professionals who want to enhance their Python skills in a marketing context. It offers insights into YouTube Analytics, customer segmentation, and machine learning for marketing, empowering you to excel in the data-driven marketing field. Overview Section 1: Marketing Data Analysis Overview. Lecture 1 Introduction to Pandas for Marketing Data Analysis Lecture 2 Assignment Solution Lecture 3 Exploratory Data Analysis Lecture 4 Assignment Solution Lecture 5 Marketing Metrics Lecture 6 Customer Segmentation Overviewing Lecture 7 Visualization of the Marketing Campaigns using Python Lecture 8 Automating Marketing Analysis in Python Lecture 9 Identifying Marketing Data Inconsistencies using Python Lecture 10 Resolving Inconsistencies in Marketing Data using Python Lecture 11 Designing an AB Test for Marketing Data in Python This course is ideal for marketing professionals, business analysts.,Aspiring data-driven marketers who want to expand their analytical skills.,Whether you're new to Python or looking to enhance your marketing insights with data.,This course will provide the knowledge and practical experience needed to make informed marketing decisions. 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Free Download Certification in Sales Forecasting Published 9/2024 Created by Edcorner Learning MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 90 Lectures ( 2h 8m ) | Size: 607 MB Learn Sales Forecasting With 50 Numerical Exercises and Solutions, Case Study What you'll learn: Sales Forecasting The Forecasting System Forecasting Methods Quantitative And Qualitative Methods Weighted Average Moving Method Simple Average Moving Method Exponential Smoothing Trend Method Of Forecasting Seasonal Method Of Forecasting Forecast Errors 50 Numerical Exercises and Solutions Requirements: Eager to Learn Description: The Certification in Sales Forecasting course is designed to equip parti[beeep]nts with comprehensive knowledge and practical skills in the field of sales forecasting. This certification covers a wide range of topics, starting with an Introduction to sales forecasting and its importance, followed by a detailed Definition of Sales Forecasting. Learners will explore why sales forecasting is a critical component for business decision-making in the module Sales Forecasting: Why Is It Important, and understand the Need of Forecasting in modern business environments.In the module Forecasting - A Decision-Making Process, parti[beeep]nts will learn how forecasting directly impacts business strategies, supported by an understanding of various Forecasting Horizons and the Key Issues in Forecasting. The course also includes a practical Example to demonstrate the application of forecasting techniques. A critical analysis of What Should We Consider When Looking at Past Demand Data will guide learners on effectively interpreting historical data.The course introduces the structure of The Forecasting System in two parts, The Forecasting System Pt 2, including an overview of the The Forecasting System Diagram. Learners will dive deep into the Forecasting-System Outputs, Forecasting-System Inputs, Forecasting-System Decisions, and the Forecasting-System Performance Criteria, which are vital for building and maintaining an effective forecasting process.A core component of the course covers various Forecasting Methods, including both Quantitative and Qualitative Methods. Parti[beeep]nts will study Qualitative or Subjective approaches such as Subjective-Estimates Survey and understand the Drawbacks of Surveys. The Delphi Method is introduced as a more structured qualitative technique. On the quantitative side, learners will examine different techniques, starting with Weighted Average Moving Method Example and Weighted Average Moving Method Example 2, followed by the Trend Method of Forecasting and Seasonal Method of Forecasting.Parti[beeep]nts will also learn how to assess forecast accuracy through the study of Forecast Errors, including Point and Range Forecasting and Quantitative Methods of Calculating Forecast Errors. Lastly, the course explores modern approaches to minimizing errors with Accurate Response - A Modern Approach to Reduce Forecasting Errors and the application of Accurate Response - The Technique.This certification ensures that parti[beeep]nts gain a solid foundation in both theoretical and practical aspects of sales forecasting, preparing them to make data-driven decisions that enhance business performance. Who this course is for: Sales professionals Marketing professionals MBA students Enterprenuers Statisticians interested in business applications Any Graduate or Fresher Homepage https://www.udemy.com/course/certification-in-sales-forecasting/ Rapidgator https://rg.to/file/e12bdd7858c32716f1b5d90a7e56f288/goxee.Certification.in.Sales.Forecasting.rar.html Fikper Free Download https://fikper.com/oehZKxtz4E/goxee.Certification.in.Sales.Forecasting.rar.html No Password - Links are Interchangeable

Excel Data Analysis: Forecasting Training Video Duration: 3h 7m | Video: AVC (.mp4) 1280x720 15fps | Audio: AAC 48KHz 2ch | 818 MB Genre: eLearning | Level: Appropriate for all | Language: English Professor Wayne Winston has taught advanced forecasting techniques to Fortune 500 companies for more than twenty years. In this course, he shows how to use Excel's data-analysis tools-including charts, formulas, and functions-to create accurate and insightful forecasts. Learn how to display time-series data visually; make sure your forecasts are accurate, by computing for errors and bias; use trendlines to identify trends and outlier data; model growth; account for seasonality; and identify unknown variables, with multiple regression analysis. A series of practice challenges along the way helps you test your skills and compare your work to Wayne's solutions. Topics include: Descriptionting and displaying time-series data Creating a moving average chart Accounting for errors and bias Using and interpreting trendlines Modeling exponential growth Calculating compound annual growth rate (CAGR) Analyzing the impact of seasonality Introducing the ratio-to-moving-average method Forecasting with multiple regression Download link: http://uploaded.net/file/5m5wzfx1/6a7qa.Excel.Data.Analysis.Forecasting.Training.Video.part1.rar]6a7qa.Excel.Data.Analysis.Forecasting.Training.Video.part1.rar http://uploaded.net/file/dkijs7py/6a7qa.Excel.Data.Analysis.Forecasting.Training.Video.part2.rar]6a7qa.Excel.Data.Analysis.Forecasting.Training.Video.part2.rar http://rapidgator.net/file/2a223988200e299502d6062105300f8b/6a7qa.Excel.Data.Analysis.Forecasting.Training.Video.part1.rar.html]6a7qa.Excel.Data.Analysis.Forecasting.Training.Video.part1.rar.html http://rapidgator.net/file/8406340721b7b6311c3d3589e405d3b4/6a7qa.Excel.Data.Analysis.Forecasting.Training.Video.part2.rar.html]6a7qa.Excel.Data.Analysis.Forecasting.Training.Video.part2.rar.html http://nitroflare.com/view/2E674251E8F970C/6a7qa.Excel.Data.Analysis.Forecasting.Training.Video.part1.rar]6a7qa.Excel.Data.Analysis.Forecasting.Training.Video.part1.rar http://nitroflare.com/view/E1A05F467861C70/6a7qa.Excel.Data.Analysis.Forecasting.Training.Video.part2.rar]6a7qa.Excel.Data.Analysis.Forecasting.Training.Video.part2.rar https://www.bigfile.to/file/bFXNju4AHUuu/6a7qa.Excel.Data.Analysis.Forecasting.Training.Video.part1.rar]6a7qa.Excel.Data.Analysis.Forecasting.Training.Video.part1.rar https://www.bigfile.to/file/9qUKrSSNE5df/6a7qa.Excel.Data.Analysis.Forecasting.Training.Video.part2.rar]6a7qa.Excel.Data.Analysis.Forecasting.Training.Video.part2.rar Links are Interchangeable - No Password - Single Extraction

Excel Data Analysis: Forecasting Training Video Duration: 3h 7m | Video: AVC (.mp4) 1280x720 15fps | Audio: AAC 48KHz 2ch | 818 MB Genre: eLearning | Level: Appropriate for all | Language: English Professor Wayne Winston has taught advanced forecasting techniques to Fortune 500 companies for more than twenty years. In this course, he shows how to use Excel's data-analysis tools-including charts, formulas, and functions-to create accurate and insightful forecasts. Learn how to display time-series data visually; make sure your forecasts are accurate, by computing for errors and bias; use trendlines to identify trends and outlier data; model growth; account for seasonality; and identify unknown variables, with multiple regression analysis. A series of practice challenges along the way helps you test your skills and compare your work to Wayne's solutions. Topics include: Descriptionting and displaying time-series data Creating a moving average chart Accounting for errors and bias Using and interpreting trendlines Modeling exponential growth Calculating compound annual growth rate (CAGR) Analyzing the impact of seasonality Introducing the ratio-to-moving-average method Forecasting with multiple regression Download link: http://rapidgator.net/file/040bce426c3ae63ffa2fd4e7161d573c/rj5xp.Excel.Data.Analysis.Forecasting.Training.Video.part1.rar.html]rj5xp.Excel.Data.Analysis.Forecasting.Training.Video.part1.rar.html http://rapidgator.net/file/1803a5717ca309a4c2d8e22cba0cf359/rj5xp.Excel.Data.Analysis.Forecasting.Training.Video.part2.rar.html]rj5xp.Excel.Data.Analysis.Forecasting.Training.Video.part2.rar.html http://nitroflare.com/view/A7E80D18F4ABF64/rj5xp.Excel.Data.Analysis.Forecasting.Training.Video.part1.rar]rj5xp.Excel.Data.Analysis.Forecasting.Training.Video.part1.rar http://nitroflare.com/view/EF79C502226C2B0/rj5xp.Excel.Data.Analysis.Forecasting.Training.Video.part2.rar]rj5xp.Excel.Data.Analysis.Forecasting.Training.Video.part2.rar http://uploaded.net/file/ni5imjxj/rj5xp.Excel.Data.Analysis.Forecasting.Training.Video.part1.rar]rj5xp.Excel.Data.Analysis.Forecasting.Training.Video.part1.rar http://uploaded.net/file/oextn49p/rj5xp.Excel.Data.Analysis.Forecasting.Training.Video.part2.rar]rj5xp.Excel.Data.Analysis.Forecasting.Training.Video.part2.rar https://www.bigfile.to/file/YmB7qdHzXFMK/rj5xp.Excel.Data.Analysis.Forecasting.Training.Video.part1.rar]rj5xp.Excel.Data.Analysis.Forecasting.Training.Video.part1.rar https://www.bigfile.to/file/KMyFCVPpF2pY/rj5xp.Excel.Data.Analysis.Forecasting.Training.Video.part2.rar]rj5xp.Excel.Data.Analysis.Forecasting.Training.Video.part2.rar Links are Interchangeable - No Password - Single Extraction

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Sales Forecasting ! MP4 | Video: 1280x720 | 49 kbps | 48 KHz | Duration: 1 Hours | 110 MB Genre: eLearning | Language: English Learn sales forecasting with Excel in 1 hour! Sales forecasting is not a magic. This is a real thing called predictive analytics. You do not have to be a rocket scientist to understand it. Honestly, with this course, you do not need to know higher mathematics at all. Real business forecasting uses quantitative data collection methods, mathematics, and logical reasoning, there is very little guesswork involved and much to be gained for the business owner. Your historical data can be used to make accurate predictions about what will happen in the future, allowing you to order the appropriate amount of stock, hire enough employees, and ensure your business runs smoothly. The financial gains that can be achieved with business forecasting are real and can be achieved with the help of basic Excel techniques. SCANBA produced high quality, easy to understand, professional level course that is right for you, as a person interested in business education. by SCANBA is the course that will teach you how to forecast your sales in real life. Trends? No problem! Seasonality? You got it! Accuracy? Nail it down. By looking at data from the past, you can extrapolate trends that will allow you to make forecasts that are more accurate. These forecasts can be useful in all areas of business from sales, to management, to marketing. With your new knowledge on forecasting, you are on your way to making better business decisions. With Excel examples, and professional lectures, you will learn the topic in just one hour! You will learn: 3 major sales forecasting methods including moving average, exponential smoothing, and regression 2 additional extensions to the methods for in-depth analysis 5 Excel spreadsheet examples Methods for predicting both seasonality and trends in your sales By the end of the course, you will be able to pass an exam and receive a personalized certificate of completion from the Scandinavian Institute of Business Analytics. Take the course! Remember, you are investing in yourself. The certificate from Scandinavian Institute of Business Analytics will prove your expertise to others. http://www.nitroflare.com/view/5DFFCAF37C8B2B6/sdrhl.Sales.Forecasting.part1.rar http://www.nitroflare.com/view/A10E1C04713A439/sdrhl.Sales.Forecasting.part2.rar http://rapidgator.net/file/3fe40a31b206739beaddc22d413d648e/sdrhl.Sales.Forecasting.part1.rar.html http://rapidgator.net/file/5a473bddbfde644cd73427134b48ff62/sdrhl.Sales.Forecasting.part2.rar.html http://uploaded.net/file/8nvh0bck/sdrhl.Sales.Forecasting.part1.rar http://uploaded.net/file/3u7g3fni/sdrhl.Sales.Forecasting.part2.rar https://www.uploadable.ch/file/5WMZ5mVQzJMk/sdrhl.Sales.Forecasting.part1.rar https://www.uploadable.ch/file/QvhECumm2fms/sdrhl.Sales.Forecasting.part2.rar