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Google Analytics and Python assignment

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Part A: Google Analytics and Tableau report

Select your own live website and present a live report of Google Analytics and Tableau using the data of the live website: Data analytics method: explaining the machine-learning models (minimum 1 clustering and 2 classifications) and/or Google Analytics Details on Real-time Monitoring Report, Audience Analysis Report, Acquisition Report. Consumer Behaviour Report;
The analytics problems which you are going to solve, include• Customer Profiling/Classification• Target customers? Example: Who will buy Life Insurance?• Customer Avatar/Profile, Example: Age, Gender, Race, Ed• Customer Behavior Prediction• Loan or not? Example:Will he default on this car loan?• Buy or Not Buy? Example:Will she watch this movie? • How many units/sales? Example:How many shoes to stock?• Next-time buy? Example: When will she buy this Fish Oil again?  • Chun Problem? Example: (Y/N) When will she switch to Bell?• Customer Service (Chatbot)? Example: How serve online better?

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Part B: Python

The soruces of your datasets can come from:• WWW.KAGGLE.COM• Google dataset search• Dataverse• Open Data Kit• Ckan• Open Data Monitor• Plenar.io• Open Data Impact Map • Smart City Open Dataset, including IoTs, Traffic, Transportation, Housing, etc (get source here)• Google Analytics Dashboard (tool screenshot) (github source here)• Sharing-economy Airbnb (github source here) • Travel Website Analytics (github source here)• Sports Club Analytics (github source here) • Twitter and Elections (github source here
What needs to be done on PythonData cleaning, explorative data analysis,  and data visualization3) Data cleaning, explorative data analysis,  and data visualization Clustering (minimum 1 tool, e.g., K-mean, K-NN) Data analytics: Classification (minimum 2 tools: e.g. Linear, LR, SVM, ANN) 
Project presentation PPT format:• Business problem: a clear business data problem statement which your project addresses.• Motivation: why is this data problem interesting and challenging or innovative to solve?• Data Visualisation approach: please show your visualization results here.• Data Analytics approach: please demonstrate your Machine-learning models and/or Google Analytics and results here.• Conclusion and Future work: please summarize key achievements and identify future work here.7) Project submission files over UCW course portal • Project files: code, dataset, key outputs, performance matrix, to be compressed to a ZIP file;• Project presentation PPT: • Project final report (MS Word): your final project report should follow the APA style, includingo Introduction:  describing the business problem and the motivation to solve it;o Relevant work: describing 5+ peer-reviewed papers related to your project with reference;o Data and visualization: describing your dataset and show the data using visualization tools;o Data analytics method: explaining the machine-learning models (minimum 1 clustering and 2 classifications) and/or Google Analytics Details on Real-time Monitoring Report, Audience Analysis Report, Acquisition Report. Consumer Behaviour Report;o Results: demonstrating the results of your data analytics models and visualize the data output;o Discussion, Conclusion, and Future work;o Reference list.
I would need MS document and ppt for the same. The assignment is on Google Analytics + Tableau (Live website), Python (on data set from one of the sources mentioned above in the mail).

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