Data Sciences Challenges
Explore data science challenges on Ewance to build skills employers expect from analysts and ML engineers. Work through challenges on data cleaning, exploratory analysis, modeling, and storytelling with data.
Most Popular
- AnalysisFoundationalNew
Optimize Ad Spend for Munich D2C Cosmetics Brand
You are given a CSV dataset with 10,000 rows of ad performance data including date, campaign, audience segment, creative type, impressions, clicks, conversions, and spend. Your …
- A/B Testing
- Regression Analysis
- Data Cleaning
Marketing Analytics - ResearchFoundationalNew
Optimizing Survey Design for a São Paulo D2C Cosmetics Brand
Your task is to design a complete survey research plan for Glow SP. Define the target population, sampling frame, and sample size. Create a 15-question survey (mix of closed and…
- Survey Design
- Sampling Methods
- Questionnaire Construction
Marketing Research - ResearchFoundationalNew
Consumer Behavior Analysis for a Plant-Based Meat Alternative
Your task is to conduct a consumer behavior analysis for GreenBite's new plant-based chicken. You will design a survey (n=200), analyze results, and provide recommendations on t…
- Survey Design
- Data Analysis
- Consumer Behavior
Marketing Principles - AnalysisFoundationalNew
Controlling Inventory for a Sustainable Fashion Brand
Your task is to develop an inventory control system for EcoThreads. You must analyze historical sales data (provided in a CSV), identify patterns, propose KPIs (e.g., turnover r…
- Inventory Management
- Data Analysis
- KPI Definition
Principles of Management Develop in-demand professional skills.
Each challenge names the skills it strengthens. Over time, your profile fills with the competences a hiring manager would actually look for.
Why Ewance
- CodeFoundationalNew
Optimizing Inventory for a Barcelona D2C Cosmetics Brand
You are given a CSV file with 6 months of daily sales data for 20 SKUs, including product name, date, units sold, and current stock level. Your task is to write a Python program…
- Python Or Javascript
- Data Cleaning
- Data Analysis
Programming for Business Applications - AnalysisFoundationalNew
Sales Force Restructuring for Regional Retail Chain
Your task is to produce a sales force restructuring plan for GreenMart. Deliverables include: (1) an analysis of current sales force performance (using provided sales data), (2)…
- Sales Force Analysis
- Incentive Design
- Training Program Design
Sales Management - AnalysisFoundationalNew
Customer Experience Analysis for a D2C Cosmetics Brand
You are a customer experience analyst at BrilhoBeleza. Your task is to analyze the current customer journey from awareness to repeat purchase. Use web analytics, user session re…
- Customer Journey Mapping
- Data Analysis
- Ux Research
Smart Services and Digital Products - AnalysisFoundationalNew
Optimize Pricing for a Sydney D2C Cosmetics Brand
You are a junior data analyst at GlowSydney. Using the provided dataset of 500 transactions (including price, units sold, customer age, and gender), perform descriptive statisti…
- Descriptive Statistics
- Linear Regression
- Data Visualization
Statistics for Business - Browse challenges
Explore role
Strategy Analyst
Frame the business question, model the options, build the recommendation. From market sizing to competitive analysis, this role is where strategy consulting meets in-house decision-making.
- StrategyFoundationalNew
ESG Strategy for a 40-Person SaaS Scale-Up
Develop a one-page ESG strategy dashboard with 5-7 key performance indicators (KPIs) relevant to a SaaS company, including data collection methods and a 6-month implementation p…
- ESG Reporting
- Sustainability Metrics
- Stakeholder Management
Sustainability and Sustainable Business - AnalysisFoundationalNew
Sentiment Analysis for Tel Aviv D2C Cosmetics Brand
You are provided with a dataset of 10,000 customer reviews (in English) with no labels. Your task is to preprocess the text, develop a sentiment classification model using NLP t…
- Text Preprocessing
- Sentiment Analysis
- Classification
Text Analytics and Natural Language Processing
How it works
From brief to credential, in six steps.
Step 01
Browse challenges aligned to your studies.
Step 02
Accept the one that fits your goals.
Step 03
Work through it with AI Copilot guidance.
Step 04
Submit for structured evaluation.
Step 05
Earn a verified credential.
Step 06
Add it to LinkedIn with one click.
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