Data analysis & data science
My Learning Roadmap
Your personalized learning journey
Phase 1: The Data Wrangler
Weeks 1-8
Learn to clean, manipulate, and query data effectively using SQL and Python libraries like Pandas.
Phase 2: The Insight Visualizer
Months 3-6
Master data visualization tools to create compelling dashboards and reports. Apply statistical methods to uncover initial insights.
Phase 3: The Predictive Modeler
Months 6-12
Build and validate predictive models to forecast trends and make data-driven business decisions.
The Strategic Data Leader
Year 1+
Evolve from a technical analyst to a strategic advisor. Use data storytelling to influence executive decisions, lead data teams, and shape the company's data-driven culture.
Data Visualization for ML Insights and
Create clear, compelling visualizations, including confusion matrices and ROC curves, to effectively communicate model performance to technical and non-technical stakeholders.
Applied Biostatistics for Program Evaluation
Utilize statistical software (e.g., R, SPSS) and methods (e.g., regression analysis) to measure the effectiveness and impact of prevention programs.
Predictive Modeling in Epidemiology
Master the statistical techniques necessary to build robust predictive models for tracking disease outbreaks and optimizing public health interventions.
SQL Mastery: Advanced Joins and Window Functions
Harness complex SQL queries to efficiently extract, aggregate, and analyze data across vast relational databases using advanced techniques.
Feature Engineering for Predictive Modeling
Develop expert methods for selecting, transforming, and creating high-impact features that drastically improve model performance and accuracy.
Advanced Data Visualization
Refine dashboard design and visual elements (color theory, chart selection) to maximize clarity and impact for executive and public reporting.
Mastering Data Visualization Best Practices
Apply cognitive principles and design theory to create visually effective, misleading-proof dashboards and analytical reports.
SQL Fundamentals for BI Analysts
Build proficiency in writing complex SQL queries (joins, subqueries, window functions) essential for data extraction and preparation.