Overview
The Data Science Foundation Skill Path is designed to provide essential skills for aspiring data scientists. This path covers core concepts such as statistics, feature engineering, regression, and classification, which form the backbone of data-driven decision-making.
Skill path
MasterclassStatistical Methods for Business Decision-Making
general
approach
data-understanding
python
03h 10m
ScenarioEnsuring Fairness in Random Discount Assignments
e-commerce
approach
python
20m
ScenarioDetecting Pricing Anomalies in Retail Products
e-commerce
approach
python
20m
ScenarioAd Placements in Holiday Campaigns
e-commerce
approach
python
20m
ScenarioInvestigating Regional Differences in Customer Satisfaction at GlobalMart
e-commerce
approach
data-understanding
data-quality
python
30m
ScenarioAnalyzing the Impact of Shipping Mode on Product Returns
e-commerce
approach
data-understanding
python
30m
ScenarioAnalyzing Sales Amounts Across Customer Segments
e-commerce
approach
data-understanding
python
30m
MasterclassEDA, Preprocessing, and Feature Engineering Essentials
general
approach
data-quality
python
ml-modelling
02h 20m
ScenarioComprehensive Data Preparation for Insurance Underwriting Modeling POC
insurance
approach
data-understanding
data-wrangling
ml-modelling
data-quality
python
02h
ScenarioPredicting Outcomes with Supervised Learning
general
approach
python
30m
ScenarioFinding Patterns with Unsupervised Learning
general
approach
python
30m
ScenarioOptimize Budgets Across Channels and Products
retail-and-cpg
approach
data-understanding
python
45m
ScenarioLinear Regression for Marketing Budget Optimization
retail-and-cpg
approach
python
01h
ScenarioUnderstanding Linear Regression: Mechanisms and Applications
retail-and-cpg
approach
python
30m
ScenarioUnderstanding Regression Evaluation Metrics
general
approach
python
01h
ScenarioUnderstanding Bias, Variance, Underfitting, and Overfitting in Machine Learning
e-commerce
approach
python
40m
ScenarioMastering Regularization: The Key to Better Model Performance
e-commerce
approach
python
01h
ScenarioBuilding Intuitive Models for Predictive Analysis
e-commerce
approach
python
30m
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ScenarioAutomating Risk Assessment with Machine Learning
insurance
approach
data-quality
data-wrangling
ml-modelling
python
02h
ScenarioUnderstanding Logistic Regression for Classification
insurance
approach
python
01h
ScenarioDemystifying Classification Evaluation Metrics
e-commerce
approach
python
01h
ScenarioMastering K-Fold Cross Validation
e-commerce
approach
python
30m
ScenarioAddressing Class Imbalance: Strategies for Reliable Model Performance
general
approach
python
30m