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Top 38 Time Series Interview Questions
Entry Junior Mid Senior Expert
Time Series Theoretical Questions
Q1:
What is Time Series?
Entry
Q2:
Why does a Time Series have to be Stationary?
Junior
Q3:
Related To: Anomaly Detection
How the IQR (Interquartile Range) is used in Time Series Forecasting?
Related To: Anomaly Detection Junior
Q4:
How do you handle Missing Values in Time-Series Data?
Junior
Q5:
What does "irregularly spaced spatial data" mean?
Junior
Q6:
What are some examples of Time-Series Data which can be Mined?
Junior
Q7:
What are some common Data Preparation Operations you would use for Time Series Data?
Junior
Q8:
What is the Sliding Window method for Time Series Forecasting?
Junior
Q9:
What are some real-world applications of Time-Series Forecasting?
Junior
Junior
Q11:
What is Discrete Wavelet Transform?
Mid Q12:
What are some Similarity Measures which can be used with Time Series data?
Mid Q13:
Compare some Forecasting Techniques for Stationary and Non-stationary Time-Series
Mid Mid Q15:
What is a Moving Average Process? Give some Real-life Examples.
Mid Q16:
How would you compare the two Time Series shown below?
Mid Q17:
List some Advantages of using State-Space Models and Kalman Filter for Time-Series Modelling
Mid Q18:
What are some different Neural Architectures for predicting Time-Series Values?
Mid Q19:
What process do you go through to design a Neural Network for Time-Series Forecasting?
Mid Q20:
What are some advantages of using MLP (Multilayer Perceptrons) for Time Series Prediction?
Mid Q21:
How is Pearson Correlation used with Time Series?
Mid Q22:
How do you mine Contextual Spatial Attributes?
Mid Q23:
What statistical methods can I use to assess the differences between the time series?
Mid Q24:
What would be some reasons that LSTM Models do not improve the Time-Series Forecasting significantly as compared to MLP Models?
Mid Q25:
Can Non-Sequential Deep Learning Models outperform Sequential Models in Time-Series Forecasting?
Mid Q26:
How do you Normalise Time-Series Data?
Mid Q27:
If your Time-Series Dataset is very long, what architecture would you use?
Mid Q28:
Related To: RNN
Why are RNNs (Recurrent Neural Network) better than MLPs at predicting Time Series Data?
Related To: RNN Mid Senior Q30:
After you develop a Real-Time Classifier of Time Series Events, how do you know if a Low Power Embedded System can classify events in real-time?
Senior Q31:
Explain how the Facebook Prophet is used to predict Time-Series Data
Senior Q32:
Can Hidden Markov Models be used to model Time-Series data?
Senior Q33:
How do you Auto-correlate Discrete and Abstract Time Series Data?
Senior Q34:
Explain briefly the different methods of Noise-Removal for Time-Series Data
Senior Q35:
What are some different ways of Trajectory Patterns Mining?
Senior Q36:
Why does Time-Series have to be Stationary before you can run ARIMA or ARM Models?
Senior Q37:
Compare State-Space Models and ARIMA models
Expert Time Series Practical Challenges
Q1:
Related To: Anomaly Detection
Implement a simple algorithm for Online Outlier Detection of a generic Time Series
Related To: Anomaly Detection
Mid 
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