PROJECT ONE GUIDELINE
You are a data analyst for a basketball team. You have found a large set of historical data, and are working to analyze and find patterns in the data set. The coach of the team and your management have requested that you use descriptive statistics and data visualization techniques to study distributions of key variables associated with the performance of different teams. Data-driven analytics will help the management make decisions to further improve your team’s performance. You will use the Python programming language to perform your statistical analysis. You will also need to present a report of your findings to the team’s management. Since the managers are not data analysts, you will need to interpret your findings and describe their practical implications. The managers will use your report to find areas where the team can improve its performance.
FiveThirtyEight. (April 26, 2019). FiveThirtyEight NBA Elo dataset. Kaggle. Retrieved from [login to view URL]
For this project, you will submit the Python script you used to make your calculations and a summary report explaining your findings.
1. Python Script: To complete the tasks listed below, open the Project One Jupyter Notebook link in the Assignment Information module. Your project contains the NBA data set and a Jupyter Notebook with your Python scripts. In the notebook, you will find step-by-step instructions and code blocks that will help you complete the following tasks:
o Choose and create a data visualization.
o Calculate descriptive statistics including mean, median, min, max, variance, and standard deviation.
o Construct confidence intervals for a population proportion and a population mean.
2. Summary Report: Once you have completed all the steps in your Python script, you will create a summary report to present your findings. Use the provided template to create your report. You must complete each of the following sections:
o Introduction: Set the context for your scenario and the analyses you will be performing.
o Data Visualization: Identify and interpret your chosen data visualization.
o Descriptive Statistics: Identify and interpret measures of central tendency and variability.
o Confidence Intervals: Identify and interpret the lower and upper limits of confidence intervals.
o Conclusion: Summarize your findings and explain their practical implications.
Hello, I'm Adel, Data Scientist. I can do your job easily in perfect time as I'm certified in: - Programming for Data Sicence ND-udacity - Data Analyst ND- udacity - Advanced Data Analysis ND -udacity I made many pro Plus
5 freelances font une offre moyenne de 1250 ₹ pour ce travail
EXPERT IN STATISTICS Hello there, I am best in statistics, R programming analysis of data, SPSS, Statistical/Data Analysis, Multivariate Statistical Analysis, Regression Analysis, STATA, MINITAB, R language, Factor Ana Plus
Hi! I can help you with this project. I have 3 years of experience in descriptive stats in python. Please message me so we can discuss it.
Hello sir, I have gone through the requirements. I have experience with Sklearn, Numpy,Pandas, Tensorflow | Pytorch. I have experience with Statistical Analysis, Supervised Machine Learning: SVM, Logistic regression, Plus
Hi, I am intrested with you project. I would like to dicuss the time for this [login to view URL] to hear you soon