Intermediate• 14 Weeks (10-12 hrs/wk)
Data Scientist
Turn complex data into predictive intelligence with statistical modeling and deep analysis.
6 Courses
Structured Curricula
5 Projects
Production Capstones
15 Challenges
Coding Katas
Certificate
Accredited Credential
Active Progress Tracking
1 of 6 Stages Completed (17%)
WHERE AM I?
Stage 2: Statistical Foundations & ProbabilityIn Progress
Hypothesis testing, distributions, Bayes theorem
WHAT COMES NEXT?
Stage 3: Exploratory Data AnalysisNext Up
Data cleaning, feature transformation, visualization
Roadmap Progression
Follow this linear, step-by-step engineering roadmap to complete the track.
Step 1Advanced Python & Numerical ComputingCompleted
NumPy vectorization, Pandas dataframes, indexing
Step 2Statistical Foundations & ProbabilityActive
Hypothesis testing, distributions, Bayes theorem
Step 3Exploratory Data Analysis
Data cleaning, feature transformation, visualization
Step 4Applied Machine Learning
Classification, regression, ensemble methods, XGBoost
Step 5Feature Engineering & Pipelines
Automated pipelines, feature stores, model drift
Step 6Real-World Capstones
Churn prediction, financial anomaly detection
Target Career Outcome
View Matching RolesData Scientist, Quantitative Analyst, BI Engineer
Credential: ASCI Certified Data Scientist