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Predictive Analytics using Python and Excel

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Overview

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Excel has evolved far beyond spreadsheets—it is now a powerful platform for analytics, forecasting, and business intelligence.

This course provides learners with advanced skills to transform raw data into actionable insights, automate reporting, and build interactive dashboards.

Participants will explore Excel’s analytical features, predictive modeling tools, and optimization techniques, gaining hands-on experience with Power Query, Power Pivot, Solver, and the Data Analysis ToolPak.

Intended audience

Business Analyst (Entry), Data Analyst (Junior), BI Analyst (Junior)

Prerequisites

  • B.Tech/B.Sc

Assessment & certification

  • Assessment fee: Included — no extra fee
  • Assessment mode: Online
  • Assessment type: MCQ
  • Assessment provider: Amypo
  • Certificate provider: Business Analyst (Entry), Data Analyst (Junior), BI Analyst (Junior)

NCrF level: 6 (NCrF credit-eligible)

Syllabus

  • Week 1: Learn to build predictive models using Excel and Python. Covers data cleaning, EDA, regression, classification, cross‑validation, and deployment basics with business use‑cases.

Taught by

Amypo Trainer

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