A Deep Dive into Forecasting- Excel & R.
- Description
- Curriculum
- FAQ
- Reviews
Hello 🙂
Forecasting has been around for 1000s of years. it stems from our need to plan so we can have some direction for the future. We can consider forecasting as the stepping stone for planning. and that’s why it is as important as ever to have good forecasters in institutions, supply chains, companies, and businesses.
With the ever-growing concerns of sustainability and Carbon-footprint. Would you believe it? a good forecast actually contributes to saving resources through the value chain and actually saving the planet. one forecaster at a time. needless to mention, forecasting is integral in marketing, operations, finance, and planning for supply chains…. pretty much everything
This course is aimed to orient you to the latest statistical forecasting techniques and trends. but first, we need to understand how forecasting works and the reasoning behind statistical methods, and when each method is suitable to be used. that’s why we start first with excel and we scale with R. “Don’t worry if you don’t know R, Crash fundamental sections are included!.
the course is for all levels because we start from Zero to Hero in Forecasting.
in this course we will learn and apply :
1- Time Series Decomposition in Excel and R.
2- Univariate analysis for time series in Excel and R.
3- Bivariate analysis and auto-correlation in Excel and R.
4- Smoothing the time series and getting the Trend with Double and centered moving average.
5- seasonally adjusting the time series.
6- Simple and complex forecasts in Excel.
7- Use transformations to reduce the variance while forecasting.
8-Generating and Calibrating Forecasting in Excel.
9- Learning R and using it as an everyday tool for forecasting.
10- Using the Fable Package for advanced forecasting methods and aggregations.
11- Using Forecast package for grid search on ARIMA.
12- Applying a workflow of different models in two lines of code.
13- Calibirating forecasting methods.
14- Applying Hierarchical time series with Bottom-up, middle out, and Top-down Approaches.
16- Use the new R-Fable reconciliation method for aggregation.
15- Using Fable to generate forecasts for 10000 time-series and much more !!
*NOTE: Many of the concepts and analysis I explain first in excel as I find excel the best way to first explain a concept and then we scale up, improve and generalize with R. By the end of this course, you will have an exciting set of skills and a toolbox you can always rely on when tackling forecasting challenges.
Happy Forecasting!
Haytham
Rescale Analytics
Feedback from Clients and Training:
“In Q4 2018, I was fortunate to find an opportunity to learn R in Dubai, after hearing about it from indirect references in UK.
I attended a Supply Chain Forecasting & Demand Planning Masterclass conducted by Haitham Omar and the possibilities seemed endless. So, we requested Haitham to conduct a 5-day workshop in our office to train 8 staff members, which opened us up as a team to deeper data analysis. Today, we have gone a step further and retained Haitham, as a consultant, to take our data analysis to the next level and to help us implement inventory guidelines for our business. The above progression of our actions is a clear indication of the capabilities of Haitham as a specialist in R and in data analytics, demand planning, and inventory management.”
Shailesh Mendonca
Commercial lead-in Adventure AHQ- Sharaf Group
“ Haytham mentored me in my Role of Head of Supply Chain efficiency. He is extremely knowledgebase about the supply concepts, latest trends, and benchmarks in the supply chain world. Haytham’s analytics-driven approach was very helpful for me to recommend and implement significant changes to our supply chain at Aster group”
Saify Naqvi
Head of Supply Chain Efficiency
“I participated to the training session called “Supply Chain Forecasting & Management” on December 22nd 2018. This training helped me a lot in my daily work since I am working in Purchase Dpt. Haytham has the pedagogy to explain us very difficult calculations and formula in a simple way. I highly recommend this training.”
Djamel BOUREMIZ
Purchasing Manager at Mineral Circles Bearings
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Hello. -
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Forecasting is the stepping stone of planning
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Time Series
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Difficulties in forecasting
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Forecasting applications
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Forecasting in inventory management
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Different Forecasting Methods
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2020 and COVID
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Time Series analysis
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Causal Methods
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Stationarity of the data
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Summary
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Quiz on Chapter 1
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Simple Forecasting methods
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Naive and Seasonal Naive
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Mean Percentage error
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Seasonal average
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Mean absolute scaled error
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Simple exponential smoothing and log transformations
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Simple forecasting Methods
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Naive and Simple forecasting methods
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linear Regression , Custom weighted moving average and SES
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Optimizing the Paremeters
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Best Simple Forecasting Method
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Simple Forecasting assignments
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Solution
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Summary
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Introduction
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Simple Exponential Smoothing
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Holt Exponential Smoothing
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Initialization of alpha and Beta
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Holt Model in Excel
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Holt-winters Explanation
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Additive Holt Winters Model
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12 month Forecast with Holt Winters
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Multiplicative Holt-Winters
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12 Month ahead with multiplicative exponential smoothing
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Assignment Holt
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Assignment Solution
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Introduction- r-Basics
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Different Data Structures and types in R
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Do arithmetic Calculations in R and write vectors
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Creating a list
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Importing Data in R and basic Exploration functions
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Selecting Data in dataframe.
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If Else function
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Conditions
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Functions with conditions
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For loops
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applying a function inside a forloop
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for loop on a data frame
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Applying a function on a dataframe
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Assignment
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Assignment section 4 answer Part1
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Assignment Section 4 answer Part 2
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Summary
