Data Science with Python Certification Time Series Analysis and Forecasting

Question 1

Which Python library provides ARIMA and SARIMA models for time series forecasting?

Accepted Answer

statsmodels

Answer

scikit-learn

Answer

matplotlib

Answer

seaborn

Question 2

What does 'stationarity' mean in the context of time series analysis?

Accepted Answer

Statistical properties like mean and variance are constant over time

Answer

The data has no missing values

Answer

The time series has no seasonal pattern

Answer

The data is sorted in ascending order

Question 3

Which test is used to check for stationarity in a time series?

Accepted Answer

Augmented Dickey-Fuller test

Answer

Shapiro-Wilk test

Answer

Levene's test

Answer

Mann-Whitney U test

Question 4

How do you parse a date column automatically when reading a CSV file with pandas?

Accepted Answer

pd.read_csv(file, parse_dates=['date'])

Answer

pd.read_csv(file, date_col='date')

Answer

pd.read_csv(file, datetime='date')

Answer

pd.read_csv(file, index_dates=['date'])

Question 5

What does an ACF (Autocorrelation Function) plot show in time series analysis?

Accepted Answer

The correlation of the series with its own lagged values

Answer

The seasonal decomposition of the series

Answer

The trend component of the series

Answer

The residuals after differencing

Question 6

In pandas, how do you resample a time series to monthly frequency and compute the mean?

Accepted Answer

df.resample('M').mean()

Answer

df.groupby('month').mean()

Answer

df.rolling('M').mean()

Answer

df.pivot_table(freq='M')