Urgent Python Data Analysis Project

I'm in dire need of a python expert to execute parts of my project immediately. The undertaking requires a deep understanding of; • Data analysis • Reading understanding and utilizing varying types of data • Python programming The expertise isn't limited to these but an added grasp on web scraping and machine learning would be highly beneficial. The type of data to be analyzed is currently undisclosed. If you fit the description, waste no time in bidding. I look forward to your proposals. • Compute the Multivariate Mean Vector: Calculate the mean for each attribute in the dataset. • Compute the Sample Covariance Matrix (Inner Product): Use the inner product between the columns of the centered data matrix(Numerical Attributes only). • Compute the Sample Covariance Matrix (Outer Product): Use the outer product between the centered data points(Numerical Attributes only). • Compute the Correlation Between Two Attributes(bill_length_mm, bill_depth_mm) • Compute the correlation between the two attributes(bill_length_mm, bill_depth_mm) by calculating the cosine of the angle between the centered attribute vectors. Include a scatter plot of these two attributes. • Compute the Covariance matrix of the three categorical attributes(species, island, and sex). • Probability Density Function: Assuming the first numerical attribute is normally distributed, plot its probability density function. • Empirical CDFs: Plot the Empirical Cumulative Distribution Functions (CDFs) of attributes bill_length_mm, bill_depth_mm, and body_mass_g.. • Variance Analysis: Identify the numerical attribute with the largest variance and the one with the smallest variance. Print these values. • Covariance Analysis: Determine which pair of attributes has the largest and smallest covariance. Print these values.