6-Month Data Analyst Program
Master SQL, Python, Pandas, Power BI, Tableau, and statistical analysis. Build real-world dashboards and become industry-ready in 6 months.
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2500+ analysts placed
Excel & SQL Mastery
Advanced Excel, Power Query, complex SQL queries, joins, subqueries, and database optimization.
Python for Analytics
Pandas, NumPy, Matplotlib, Seaborn for data cleaning, manipulation, and visualization.
Business Intelligence
Power BI, Tableau dashboards, DAX, data storytelling, and interactive reporting.
Statistics & Analytics
Descriptive/inferential stats, A/B testing, forecasting, and business metrics.
6-Month Data Analyst Roadmap
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Month 1: Foundations – Excel & SQL
Excel formulas, pivot tables, Power Query; SQL basics, joins, aggregations, and subqueries.
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Month 2: Python for Data Analysis
Python basics, NumPy, Pandas for data wrangling, cleaning, and exploratory analysis.
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Month 3: Data Visualization with Python
Matplotlib, Seaborn, Plotly for interactive visualizations and storytelling.
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Month 4: Power BI & Tableau
DAX, measures, dashboards, row-level security, and publishing reports.
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Month 5: Statistics & Advanced Analytics
Hypothesis testing, regression analysis, time series, and business metrics.
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Month 6: Capstone Projects & Placement Prep
End-to-end analytics project, portfolio building, mock interviews, and resume workshops.
Analytics Tooling Arsenal
12+ Real-World Projects
Sales dashboard, customer segmentation, financial analytics, and more.
2 Major Capstone Projects
End-to-end analytics portfolio + interactive dashboard deployment.
Get Certified in Data Analytics
Receive an industry-recognized institutional certificate upon completing your analytics projects. Your credential validates expertise in SQL, Python, BI tools, and statistical analysis.
Unique Digital Reference Framework
Each certificate features a verification hash for LinkedIn and resume integration.
Modular Milestone Grading
Your document captures performance across Excel, SQL, Python, and BI modules.
Institutional Validation
Endorsed by SISTec’s analytics faculty and industry advisory board.
