Time Series Analysis in Python
Budget: €30 – €250 EUR
I'm looking for a skilled data analyst who can help me run a comprehensive time series analysis on financial data using Python. The focus of the analysis is on identifying anomalies within the dataset.
Key Tasks:
- Conduct tests for heteroskedasticity, multicollinearity and autocorrelation in the data.
- Perform descriptive statistics such as calculating the mean, standard deviation, and other relevant metrics.
Ideal Skills and Experience:
- Proficiency in Python, particularly with Pandas and NumPy for data manipulation.
- Knowledge of Statsmodels (to calculate white test, Durbin Watson etc) and SciPy for conducting statistical tests.
The project is expected to take no more than 8- 10 hours to complete.
Key Tasks:
- Conduct tests for heteroskedasticity, multicollinearity and autocorrelation in the data.
- Perform descriptive statistics such as calculating the mean, standard deviation, and other relevant metrics.
Ideal Skills and Experience:
- Proficiency in Python, particularly with Pandas and NumPy for data manipulation.
- Knowledge of Statsmodels (to calculate white test, Durbin Watson etc) and SciPy for conducting statistical tests.
The project is expected to take no more than 8- 10 hours to complete.