Transform data into actionable business insights
Data Analysis is the foundation of data-driven decision making in modern businesses. As a data analyst, you will collect, process, and analyze data to uncover trends, patterns, and insights that drive business strategy. This comprehensive roadmap guides you through mastering SQL for data extraction, Excel for analysis, statistical methods, and visualization tools like Tableau and Power BI. You will learn to work with databases, create dashboards, perform A/B testing, and communicate findings to stakeholders. Data analysts are crucial across all industries - finance, healthcare, retail, technology, and more. The role requires analytical thinking, attention to detail, business acumen, and the ability to tell stories with data. Unlike data scientists who focus on predictive modeling, data analysts focus on descriptive and diagnostic analytics to answer business questions.
4-6 weeks
Formulas, functions, formatting, shortcuts
Text functions, find & replace, data validation
Summarizing data, slicers, calculated fields
Visualization types, best practices
8-10 weeks
SELECT, WHERE, ORDER BY, LIMIT
INNER, LEFT, RIGHT, FULL joins
GROUP BY, COUNT, SUM, AVG, HAVING
Subqueries, CTEs, window functions
6-8 weeks
Mean, median, mode, variance, percentiles
Distributions, sampling, confidence intervals
T-tests, chi-square, p-values
Experiment design, statistical significance
6-8 weeks
Connecting data, creating dashboards, calculations
Data modeling, DAX, reports, sharing
Color theory, chart selection, storytelling
KPIs, interactivity, user experience
6-8 weeks
Variables, loops, functions, data structures
DataFrames, data manipulation, groupby
Plotting, customization, statistical plots
Interactive analysis, documentation
4-6 weeks
KPIs, revenue metrics, customer metrics
Presenting insights, stakeholder communication
Data pipelines, data quality, automation
Build portfolio, case studies