Forecasting Interview Questions | Day 6
Forecasting is one of the popular domains in Data Science. If you are exploring Data Science then you should definitely look into this domain.
Today is Day 6 and we will have 10 Forecasting interview questions for you. These forecasting interview questions are of intermediate level and are asked very often in the interviews
Before we get started, do create your profile on the website. The ‘Login’ area is at your extreme left ?
You can get previous days questions here
Day 1- https://thedatamonk.com/data-science-interview-question-day1/
Day 2-https://thedatamonk.com/sql-interview-questions/
Day 3-https://thedatamonk.com/joins-in-sql/
Day 4 – https://thedatamonk.com/statistics-interview-question/
Day 5 – https://thedatamonk.com/machine-learning-interview-question/
There are multiple ways to do forecasting, you can use Linear Regression, You can use XGBoost, or any other regression algorithm.
Today we will concentrate on ARIMA time series model. If you are completely unfamiliar of Time Series or ARIMA model, then comment your email id below and I will send you a book ‘Master Forecasting in R’
Following are the 10 Forecasting interview Questions
Forecast Number of Pizzas(Case Study Hike Messenger) – https://thedatamonk.com/question/how-to-forecast-number-of-pizza-which-will-be-sold-in-pizza-hut-in-next-week/
Degree of Freedom – https://thedatamonk.com/question/what-is-degree-of-freedom-in-arima/
BIC in ARIMA- https://thedatamonk.com/question/what-is-bic-in-arima-model/
ARIMA in simplest terms – https://thedatamonk.com/question/define-arima-in-simplest-terms/
AIC in ARIMA – https://thedatamonk.com/question/what-is-aic-in-arima/
ADF Test for Time Series – https://thedatamonk.com/question/what-is-adf-test-in-time-series-analysis/
Cyclicity and Seasonality- https://thedatamonk.com/question/difference-between-cyclicity-and-seasonality/
Seasonality – https://thedatamonk.com/question/explain-seasonality/
Trend – https://thedatamonk.com/question/explain-the-trend-in-forecasting/
ARIMA sample code – https://thedatamonk.com/question/write-sample-code-of-arima-in-python-or-r/
The Data Monk Interview Books – Don’t Miss
Now we are also available on our website where you can directly download the PDF of the topic you are interested in. At Amazon, each book costs ~299, on our website we have put it at a 60-80% discount. There are ~4000 solved interview questions prepared for you.
10 e-book bundle with 1400 interview questions spread across SQL, Python, Statistics, Case Studies, and Machine Learning Algorithms – Ideal for 0-3 years experienced candidates
23 E-book with ~2000 interview questions spread across AWS, SQL, Python, 10+ ML algorithms, MS Excel, and Case Studies – Complete Package for someone between 0 to 8 years of experience (The above 10 e-book bundle has a completely different set of e-books)
12 E-books for 12 Machine Learning algorithms with 1000+ interview questions – For those candidates who want to include any Machine Learning Algorithm in their resume and to learn/revise the important concepts. These 12 e-books are a part of the 23 e-book package
Individual 50+ e-books on separate topics
Important Resources to crack interviews (Mostly Free)
There are a few things which might be very useful for your preparation
The Data Monk Youtube channel – Here you will get only those videos that are asked in interviews for Data Analysts, Data Scientists, Machine Learning Engineers, Business Intelligence Engineers, Analytics managers, etc.
Go through the watchlist which makes you uncomfortable:-
All the list of 200 videos
Complete Python Playlist for Data Science
Company-wise Data Science Interview Questions – Must Watch
All important Machine Learning Algorithm with code in Python
Complete Python Numpy Playlist
Complete Python Pandas Playlist
SQL Complete Playlist
Case Study and Guesstimates Complete Playlist
Complete Playlist of Statistics
Comments ( 6 )
Please send me the master forecasting with R material
Please send me the master forecasting with R material
Please send me this e – book on the below mentioned email id:
[email protected]
please send me the ebook of forecasting mail – [email protected]
Hey! Please mail me the book of forecasting .
[email protected]
Thanks!
Please send me the Book of forecasting