Data Analytics — Next cohort Starts Oct 24

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Python Projects

Build a sales performance dashboard for a US retail company using real order data. Clean the dataset, then create line, bar, donut, scatter and box plots in Matplotlib. Combine them into one multi-panel dashboard and find where the business makes and loses money.

Prerequisite(s) :

Basic Python, Basic Pandas

Skills to be Learned :

  • Matplotlib
  • Data Cleaning
  • Data Visualisation
  • Dashboard Design
  • Business Insights
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Pull live data from a real public REST API and turn it into an analytics report. Call the crates.io API for 37 Rust packages and parse the JSON into a pandas DataFrame. Then measure popularity, momentum and maintenance risk, and chart the results.

Prerequisite(s) :

Python, Pandas, Basic JSON

Skills to be Learned :

  • REST API
  • Python Requests
  • JSON Parsing
  • Rate Limiting
  • Data Visualisation
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Analyse customer value and product performance using Seaborn. Build a customer-level summary table, then explore distributions, correlations and regressions with statistical charts. Find out whether your biggest-spending customers are actually profitable.

Prerequisite(s) :

Python, Pandas, Basic Statistics

Skills to be Learned :

  • Seaborn
  • Exploratory Data Analysis
  • Customer Segmentation
  • Correlation Analysis
  • Data Visualisation
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