Data Analysis
A comprehensive career path for analyzing data to find insights and support business decisions.
Build Foundational Skills
Master the fundamentals of mathematics, statistics, and probability. This is the bedrock of all data analysis.
Excellent free courses on Statistics, Probability, and fundamental math concepts.
A fantastic video series that builds a strong visual intuition for linear algebra.
Understand *why* statistical formulas work, don't just memorize them. This is key for real-world problem-solving.
Learn SQL
Gain proficiency in SQL to query, extract, and manipulate data from relational databases. This is a non-negotiable skill for any data analyst.
A prompt that analyzes your SQL query and suggests optimizations.
Master a Programming Language
Learn Python (with Pandas, NumPy, and Scikit-learn) or R. These are the primary tools for data manipulation, analysis, and modeling.
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Learn Data Visualization
Become skilled with tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn) to visually communicate your findings and tell compelling stories with data.
Develop Business Acumen & Storytelling
Learn to translate your data insights into actionable business recommendations and present your findings to stakeholders in a clear, compelling way.
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