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4.3 from 41 ratings

Data Analytics and AI

ProoV · Beginner - Intermediate

5“Through this project, I developed analytical thinking, problem-solving, data interpretation, and forecasting skills. I learned how to clean and analyze data, identify trends and seasonality, compare forecasting models, and make data-driven business recommendations. The project a…”Shraddha

About this project

Build a strong foundation in Data Analytics and AI using a case study of the global German brand Adidas. In this project, you will explore how raw market data transforms into actionable insights, identify macroeconomic patterns, and train predictive machine learning models to forecast retail revenue like a professional.

Ideal for entry-level careers in

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A graded ProoV project, completed step by step and marked against a published rubric.

❖time-series, forecasting and more skills

What you'll do

1

Section 1: Sales Data Exploration

Load and clean the Adidas US Sales dataset. Perform Exploratory Data Analysis (EDA) including time-series line plots of monthly revenue, regional bar charts, and product category breakdowns.

2

Section 2: Time-Series Analysis

Resample daily data to monthly aggregates. Decompose time series into trend, seasonal, and residual components. Compute moving averages and plot autocorrelation (ACF) to identify lag patterns.

3

Section 3: Forecasting Model Building

Train a Moving Average baseline, a Linear Regression with time features, and a Prophet model. Compare models using MAE, RMSE, and MAPE metrics. Visualize forecasts vs actuals.

4

Section 4: Business Impact

Interact with the in-app Sales Dashboard to explore regional forecasts. Write an executive summary covering the strongest growth regions, product investments, and channel mix shifts.

What you'll learn

1

Time-Series Analysis

Decompose sales data into trend and seasonality. Understand moving averages and autocorrelation using statsmodels.

2

Retail Forecasting

Build robust forecasting models using Prophet and Linear Regression to predict regional sneaker demand.

3

Business Strategy

Translate model outputs into actionable business decisions for inventory planning and channel investment.

  • 1 credit
  • Beginner - Intermediate

Best on a laptop or desktop.

What you get

  • A workspace that saves as you go.
  • A graded scorecard with feedback.
  • A certificate anyone can verify.

Best on a laptop or desktop.

Tags

time-seriesforecastingretail-analyticspythonpandassportswear

This experience is independently built by industry experts using real-world scenarios and public information. It is designed strictly for educational and portfolio-building purposes, and does not imply an official partnership or endorsement by the referenced companies.

What students say

Through this project, I developed analytical thinking, problem-solving, data interpretation, and forecasting skills. I learned how to clean and analyze data, identify trends and seasonality, compare forecasting models, and make data-driven business recommendations. The project a…
Shraddha

Who is it for?

Applying to German or European universities? Jobs in Europe? Build proof with real projects.

Starting out?

No experience yet.

Do a graded project on a real-world brief. Walk away with a score that proves your skills, before the first job.

Job hunting?

Stand out on applications.

Show a scorecard with real criteria. It says more than any CV bullet.

Career switch?

Pivot into a new field.

Prove you can handle a real challenge in that domain, graded against the same bar as everyone else.

Portfolio?

Grade your portfolio.

ProoV projects come with a score, a pass/fail, and a public verification link.

PROOV · VERIFIED PROOF OF SKILLS