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Data & Analytics

Analyze datasets, create dashboards, and extract actionable insights from data.

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Plan Summary

Duration

30 Days Plan

Commitment

3 hours / day

Focus

Python data engineering and dynamic analysis. Programmatically ingest, process, clean, and visualize complex datasets.

Training Topics

  • Python data manipulation: NumPy arrays and Pandas DataFrames
  • Visualizing trends using Matplotlib and Seaborn libraries
  • Advanced SQL window functions and database optimization
  • Predictive analysis foundations and data-storytelling presentations

Training Roadmap & Phases

Week 1

Pandas Data Ingestion

Import heavy files, filter null parameters, pivot records, and parse date objects using Python.

Week 2

Visual Storytelling

Draw heatmaps, scatter distributions, line trends, and format custom charts using Seaborn.

Week 3

Advanced SQL Metrics

Utilize SQL window queries (PARTITION BY, ROW_NUMBER) to isolate cohort statistics.

Week 4

Portfolio Project & Analytics Story

Assemble a Jupyter notebook summarizing target business trends and deliver actionable slide decks.

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