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?
Part B: Python
The soruces of your datasets can come from:
• Google dataset search
• Open Data Kit
• Open Data Monitor
• 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 Python
3) 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, including
o 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).
I would like to receive your quote.
Need the work by 10th June, 2021. Will you be able to provide your service?