The Data Analyst program teaches you to find the stories hidden in data and communicate them in ways that move organizations. From Excel to SQL to Python to Tableau — the complete analytical toolkit.
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This program is not a course — it's a career transformation into one of the most universally in-demand roles across every industry.
Professionals who live in spreadsheets and are ready to level up to SQL and Python — dramatically increasing what they can analyze and how fast.
Marketing, finance, and operations professionals who want data skills to advance their careers, influence decisions, and command higher salaries.
Business, economics, or social science graduates who want entry-level data analyst roles and need a practical, portfolio-backed skillset.
Anyone who wants a stable, well-paid, genuinely in-demand tech-adjacent career — without becoming a software engineer or data scientist.
People already analyzing data with basic tools who want to dramatically level up their speed, scale, and storytelling with SQL, Python, and BI tools.
Analysts who want to grow into senior analyst or analytics manager roles — overseeing teams, owning strategy, and influencing at the executive level.
Salary data from 2024–2025 US placements, LinkedIn Salary Insights, and Glassdoor — not projections.
Every Industry
Tech · Finance · Healthcare
Retail · CPG · Banking
Modern data stack companies
SaaS · E-commerce · Gaming
Scale-ups · Enterprise
Pivot tables, VLOOKUP, Power Query, and data modeling — mastering the tool every business already uses.
Joins, window functions, CTEs, and query optimization — the single most in-demand analyst skill.
Pandas, NumPy, Matplotlib — from zero to productive on real datasets within the first month.
Dashboard design, calculated fields, data blending, and publishing executive-ready visualizations.
Descriptive stats, hypothesis testing, confidence intervals — the quantitative backbone every analyst needs.
Pattern recognition, outlier detection, and data cleaning — turning messy data into reliable analysis.
Turning analysis into actionable business narratives that decision-makers actually understand and act on.
Building reliable, tested, documented data models in modern data stacks with dbt Core and Cloud.
Regression, clustering, and forecasting — applied without deep engineering, for analysts who want more leverage.
Choose between the 9-month Professional Certificate or the 12-month Post Graduate Program. Both are rigorous — the PGP goes deeper into analytics engineering, ML for analysts, and leadership.
Extended foundation covering the modern data stack — how data flows from source to dashboard, and how analytics engineers build the reliable models that power business decisions.
Become a dbt power user — building production-grade, fully tested, well-documented data models that analytics teams trust. Covers advanced patterns used at Spotify, Shopify, and similar data-forward companies.
Executive-ready Tableau dashboard connecting to Salesforce data — drill-downs, trends, and regional breakdowns.
SQL + Python analysis of multi-channel marketing data — last-touch, linear, and time-decay attribution compared.
K-means clustering in Python to segment customers by behavior — visualized in a business-ready Tableau presentation.
Python + Excel automation replacing 8 hours of manual weekly work — parameterized, scheduled, and tested.
Funnel analysis, A/B test evaluation, and retention cohort analysis — the complete product analytics playbook.
Design and execute an end-to-end analytics project in the industry you're targeting — mentor-guided, portfolio-ready.
Every mentor is actively working at a data-forward company. They bring current, production-grade analytical thinking into every session.
Leads SQL, Python, and storytelling modules. Analyst behind Spotify's editorial performance reporting.
Leads dbt and analytics engineering modules. Maintains Shopify's merchant analytics data models.
Leads BI, Tableau, and data leadership modules. Oversees a 12-person analytics organization at Salesforce.
Leads SQL and dashboarding modules. Drives product analytics for billions of users.
Mentors Power BI and Tableau modules. Builds executive analytics for enterprises.
Heads dbt and data modeling modules. Builds analytics pipelines for commerce.
The sales performance dashboard project was almost identical to my first real task at Spotify. I already knew the Tableau LOD expressions, how to structure the data model, and how to present the findings to leadership. My manager said it was the best onboarding she'd ever seen. That came directly from Atlia.
I was building reports manually in Excel for four years. The Atlia program gave me SQL, Power BI, and the confidence to walk into a Microsoft interview and talk through my projects like a seasoned analyst. BI Developer role, $108K, first offer I received.
The dbt module changed everything for me. I went from accountant to analytics engineer at dbt Labs in under a year. The PGP curriculum was exactly the right depth — rigorous enough to get the job, practical enough to do the job on day one.
I went from manual bookkeeping to building dashboards execs actually use. The SQL and Power BI projects were exactly what Amex's hiring team wanted to see.
Atlia's analytics track gave me real business projects, not toy datasets. I told a clear data story in my interview and got the offer the same week.
From spreadsheets to leading analytics for a global brand. The Tableau and data-storytelling modules transformed how I communicate with stakeholders.
I went from coordinating operations to driving decisions with data. The SQL, Tableau, and storytelling projects made my portfolio stand out instantly.
Book a free 30-minute career counselling session. We'll help you choose between PCP and PGP, plan your timeline, and answer every question you have about becoming a data analyst.