Master Excel, SQL, Python, Power BI, AWS Cloud, and modern analytics workflows through practical classroom training, business case studies, and mentor-reviewed enterprise projects.
Meet our lead instructor in Pune. Experience our teaching methodology and get a tailored career roadmap.
Most courses teach isolated tools with clean, toy datasets that never reflect real work. At Two Dimension Institute, you learn end-to-end data problem solving: from messy raw business data to executive board-level decisions.
Understand what numbers actually mean to executives. Master unit economics, cohort retention, variance analysis, revenue leakage, and translation of stakeholder briefs into measurable metrics.
Move far beyond simple SUM formulas. Build production-grade financial scorecards, dynamic array lookups (XLOOKUP, INDEX-MATCH), Power Query automated ETL pipelines, and recurring executive MIS.
Write complex analytical queries that real companies run on relational data. Master multi-table joins, subqueries, Common Table Expressions (CTEs), and enterprise Window Functions (ROW_NUMBER, DENSE_RANK, LAG, LEAD).
Focused exclusively on analyst workflows. Clean massive datasets with NumPy and Pandas, discover patterns via Exploratory Data Analysis (EDA), and create statistical visualizations with Matplotlib and Seaborn.
Transform multi-source databases into intuitive interactive dashboards. Model fact and dimension tables into star schemas, write robust DAX measures, time-intelligence calculations, and master visual storytelling.
Harness AI as an analyst copilot. Use prompt engineering to accelerate query generation and code debugging, implement strict output verification, and query cloud datasets in Amazon S3 using Amazon Athena.
This program is designed for ambitious learners who want practical, hands-on technical skills rather than passive certificates. We meet you at your current level and build systematically.
Bridge the gap between theoretical university curriculum and corporate requirements. Graduate with a production-ready portfolio that stands out to recruiters.
Break through competitive applicant pools by presenting verified GitHub code repositories, live Power BI dashboards, and battle-tested SQL query problem solving.
Currently working in sales, operations, support, or banking? Transition into high-growth data analytics with zero prior coding experience required.
Break free from manual, repetitive copy-pasting. Upgrade your stack from basic Excel to Python automation, scalable SQL databases, and enterprise BI platforms.
No prior coding or engineering degree required. Basic familiarity with computer operation and logical curiosity is all you need to start.
Windows 10/11 or macOS with minimum 8GB RAM (16GB recommended), Core i5/Ryzen 5 processor, and 50GB free SSD storage for local database tools.
10 hours of instructor-led classroom sessions per week + 10–12 hours of dedicated hands-on practical lab exercises and project building.
Every module is structured with theory, live instructor demonstration, guided lab practice, independent homework assignments, and a concrete enterprise project deliverable.
Understand how data drives commercial decisions across retail, fintech, e-commerce, and healthcare. Learn to translate vague business requests into measurable questions, build KPI dictionaries, and master foundational descriptive statistics.
Transform Excel from a simple calculation grid into an automated reporting engine. Master dynamic array formulas, multi-condition lookups, Power Query automated ETL pipelines, and executive dashboards.
SQL is the backbone of any enterprise data analyst's day-to-day work. Learn to query normalized databases, aggregate multi-million row tables, and write advanced analytical window functions.
Focus entirely on Python for data analysis, manipulation, and statistical visualization. Skip irrelevant software engineering fluff and concentrate on Pandas, NumPy, and business Exploratory Data Analysis (EDA).
Learn to model enterprise data and build intuitive, lightning-fast executive dashboards. Master data modeling (Star Schemas), complex DAX expressions, time-intelligence, and visual design principles.
Harness modern AI as a high-speed productivity multiplier while avoiding blind dependency. Learn prompt engineering for complex SQL, automated data documentation, and strict verification protocols against AI hallucinations.
Understand how modern companies store and query massive datasets in the cloud without loading them onto local servers. Keep it practical and tailored strictly to the data analyst role.
Bring all skills together in comprehensive capstones that simulate real enterprise client engagements. Each student selects, builds, and defends an end-to-end portfolio project from dirty raw data to executive presentation.
Technical competence alone does not get you hired; communicating value does. Master ATS resume framing, GitHub portfolio presentation, LinkedIn/Naukri search strategy, and intensive technical mock interviews.
No superficial tutorials. Every project gives you realistic messy data, authentic business bottlenecks, and requires full-cycle analytical execution that recruiters can inspect.
Analyze 1.2M transactions to identify why customer repeat purchase rates dropped by 18% in Q3. Perform monthly cohort retention, RFM segmentation, and calculate customer acquisition cost (CAC) vs. LTV.
Identify working capital trapped in dead stock across 4 regional warehouses. Calculate inventory turnover ratios, stockout risk alerts, and category profitability margins.
Decompose employee voluntary departures across 5,000 employees. Use Python to identify correlation between compensation hikes, manager tenure, overtime hours, and flight risk.
Build a dynamic P&L model comparing actual revenue and operating expenses against annual board budgets. Build waterfall variance visuals and calculate EBITDA run-rate.
Evaluate marketing spend across Google Ads, Meta, LinkedIn, and Influencers. Determine cost per acquisition (CAC), blended ROAS, and multi-touch conversion funnel drop-offs.
Query cloud-stored telemetry data for 450 electric vehicle fast-chargers. Analyze peak load demand hours, station downtime rates, and recommend optimal expansion locations.
Learning analytics requires active execution, not passive video consumption. Our offline classroom loop ensures every concept is tested and verified.
Live classroom walkthrough of real enterprise problems and architectural concepts in Hindi/English.
Replicate the workflow immediately during the lab session with mentor guidance on hand.
Weekly real-world homework challenges with uncleaned datasets to build true muscle memory.
1-on-1 mentor scrutiny on SQL query efficiency, DAX modeling correctness, and layout hierarchy.
Present findings in classroom viva sessions, explaining commercial insights and analytical trade-offs.
Timed query challenges, ATS resume screening, and realistic panel mock interviews.
Certificates are awarded based on verified demonstration of skills, not mere attendance.
Getting hired in today's competitive tech job market requires more than just knowing syntax. We prepare you across every stage of the candidate evaluation pipeline.
Re-write every bullet point using the Problem-Action-Metric formula. Ensure 85%+ parsing rate through applicant tracking systems used by top hiring firms.
Publish structured repositories with clean SQL scripts, documented Jupyter notebooks, and interactive Power BI files ready to link on your profile.
Keyword-tune your profiles for Pune and remote tech recruiters. Learn outreach strategies that bypass generic email inboxes.
Practice 200+ curated SQL and Excel interview questions under realistic time limits, matching real technical screen challenges.
Two Dimension Institute believes in 100% transparency. We do not make false promises or fabricate recruitment numbers:
Your final placement outcome depends on your regular attendance, mastery of the 9 modules, code quality, and performance during employer interviews.
View Real Placed Alumni StoriesOur mentors are working data specialists who bring actual enterprise architectures, production pitfalls, and real hiring standards into the classroom every day.
8+ years of hands-on industry experience building multi-tenant Power BI dashboards and large-scale SQL data warehouses across fintech and retail analytics.
Specializes in automated ETL pipelines, cloud data lakes (AWS S3 & Athena), statistical modeling with Pandas, and modern AI-assisted analytics tools.
Conducts weekly technical mock interviews, reviews ATS resume drafts, evaluates GitHub code repositories, and tracks each student's career transition roadmap.
Here is an illustrative preview of the actual enterprise dashboard complexity, data modeling depth, and analytical rigor built during the 6-month program.
Fully interactive Power BI dashboard tracking revenue metrics, user engagement funnels, and MoM course completion rates using advanced DAX modeling.
When recruiters review your application, they won't just see a resume with tool names. They will inspect public, working evidence of your analytical thinking:
Everything you need to know about the curriculum, classroom environment, prerequisites, and institute policies.
Visit our Pune campus, meet our mentors, inspect actual student repositories, and experience our hands-on classroom teaching approach before deciding.
