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Stream 08Data Science & Analytics

Data Science & Analytics: Turn Data Into Decisions

Master EDA, statistics, visualization, predictive modeling, and analytics storytelling through real datasets.

25 March 2026
10 min read
PythonPandasPlotlyStreamlitScikit-learnSQLTableauStatistics

Why Data Science & Analytics?

Data-driven decision making is the backbone of modern business strategy. Data scientists and analysts who can extract, visualize, and communicate insights are essential to every industry. SkillCred's Data Science stream builds these skills through real-world analysis projects.

What You'll Build

Solo Project 1 — Exploratory Data Analysis Report (Weeks 1–2)

Conduct comprehensive EDA of a real-world dataset with statistical tests, correlation analysis, distribution fitting, and a polished Jupyter narrative. Each student selects unique research questions.

Solo Project 2 — Interactive Analytics Dashboard (Weeks 3–4)

Build a Streamlit/Dash dashboard with Plotly/Altair/Folium visualizations, user filters, drill-downs, and a predictive model for what-if scenarios.

Pair Project — Predictive Analytics Suite (Weeks 5–6)

Build a multi-model project: clustering for segmentation + time series forecasting + text sentiment, all integrated into a single Streamlit app.

Group Capstone Options (Weeks 7–8)

Choose from: Student Performance Dashboard, City Transportation Analysis, Customer Segmentation Engine, Healthcare Cost Predictor, or Social Media Trend Analyzer.

8-Week Curriculum Overview

WeekPhaseKey Topics
1Python & EDANumPy, Pandas, data cleaning, EDA, descriptive stats
2Statistics & ProbabilityDistributions, hypothesis testing, A/B testing, Bayesian
3Visualization & StorytellingPlotly, Altair, Folium, Streamlit/Dash, chart design
4Regression & ClassificationLinear/logistic regression, Decision Trees, XGBoost
5Clustering & Time SeriesK-Means, DBSCAN, ARIMA, Prophet, anomaly detection
6Advanced AnalyticsText analytics, TF-IDF, recommendations, PCA/t-SNE
7Big Data & SQL AnalyticsWindow functions, CTEs, PySpark, cloud analytics
8Capstone Analytics & DemoE2E lifecycle, stakeholder storytelling, portfolio, demo

Career Outcomes

Graduates are prepared for Data Analyst, Data Scientist, Business Analyst, Analytics Engineer, and BI Developer roles.