Accenture-Data-Analytics-and-Visualization-Virtual-Internship

Certificate:

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Task - 1

Project Understanding:

A data analyst sits between the business and the data.

One of Accenture’s Managing Directors, Mae Mulligan, is the client lead for Social Buzz. She has reviewed the brief provided by Social Buzz and has assembled a diverse team of Accenture experts to deliver the project. Mae has scheduled a project kick off call with the internal Accenture project team for tomorrow morning. About Client : Social Buzz Task for Accenture : Client's Problem that Accenture is tasked to address : The client has reached a massive scale within recent years and does not have the resources internally to handle it. Three requirements that Accenture is tasked to fulfill : Audit of big data practice, recommendations for IPO, analysis of popular content Accenture Project Team :

Task for Data Analyst : Analysis of sample data sets with visualizations to understand the popularity of different content categories.

In short, the client wanted to see “An analysis of their content categories showing the top 5 categories with the largest popularity”.

Task - 2

Often you won’t need all these datasets to find what you’re looking for. So, the first step is to use this data model to identify which datasets will be required to answer your business question - which is to to figure out the top 5 categories with the largest popularity. After Analysis we got data sets needed to complete analysis: Reaction Score(score is used to quantified the popularity) Content ID Reaction Types Content type Category Data Cleaning: Clean the data by: removing rows that have values which are missing, changing the data type of some values within a column, and removing columns which are not relevant to this task. Think about how each column might be relevant to the business question you’re investigating. If you can’t think of why a column may be useful, it may not be worth including it. End result will be three cleaned data set :

Reaction Types Reactions Content Data Modelling: Create a final data set by merging 3 tables

End result will be one spreadsheet

A cleaned dataset Top 5 categories Cleaned Data set: So, the cleaned data set after data modelling & data cleaning : Cleaned Dataset

Task - 3

Data Visualization and Storytelling: Make the Powerpoint presentation as per the given template

Charts Involved :

Pie Chart Bar Chart Powerpoint Presentation : PPT

Task - 4

Present to the Client: Present your powerpoint presentation to the client and deliver the insights of your analysis