Download PDF
techventive.io
US Engineering Studio
Cohort enrolling now
info@techventive.io  ·  202-709-6940
5010 Sunnyside Ave, Suite 108, Beltsville, MD 20705
www.techventive.io
Data Analyst Bootcamp

Data Analyst

6 weeks · Beginner+ · live + recorded

A hands-on data analytics curriculum covering Excel, SQL, Python (pandas), statistics, BI tools (Tableau, Power BI), dashboard design, and the storytelling skills that get analysts hired — delivered by senior US-based analysts who ship dashboards used by execs every day.

10Core Modules
35+Practical Skills
5+Project Tracks
1:1Career Support

The production stack you'll master

Each tool taught with the workflows and failure modes practitioners actually meet on the job.

01ExcelAdvanced formulas & PivotTables
02SQLPostgreSQL / Snowflake
03PythonPandas, NumPy
04TableauEnterprise BI
05Power BIMicrosoft BI stack
06LookerModern BI / LookML
07dbtAnalytics engineering
08StatsHypothesis testing
09GitNotebook version control
10AirtableLightweight data ops

Foundation modules

First half of the curriculum — core fundamentals and the most common day-to-day skills.

01

Analytics Foundations

What analysts actually do, the lifecycle of a question, types of data, structured vs. unstructured, the 'so what' framework.

02

Excel Mastery

Advanced formulas (XLOOKUP, INDEX/MATCH), PivotTables, Power Query, conditional formatting, Excel as a fast prototyping tool.

03

SQL for Analysts

SELECT, JOIN, aggregates, window functions, CTEs, subqueries, performance basics, PostgreSQL + Snowflake hands-on.

04

Python & Pandas

Jupyter, data structures, pandas DataFrames, cleaning, merging, group-by, time series, matplotlib basics.

05

Statistics & Probability

Descriptive stats, distributions, sampling, confidence intervals, hypothesis tests, p-values, A/B test analysis.

FreshersLand your first analyst role with a portfolio of real dashboards and SQL projects.
Excel Power UsersLevel up from spreadsheets to SQL, Python, and modern BI tools.
Career SwitchersMove from finance / ops / marketing into a dedicated data analyst role.
Aspiring DSBuild the analytics foundation that every data scientist needs.
techventive.io · Your engineering career, supercharged. info@techventive.io·202-709-6940·techventive.io
techventive.io
Data Analyst Bootcamp · Curriculum
PAGE 02 · Advanced
info@techventive.io  ·  202-709-6940
www.techventive.io

Advanced modules

Second half — production patterns, real-world operations, and the senior-level depth.

06

Tableau Deep-Dive

Connections, calculated fields, LOD expressions, parameters, dashboard design, publishing to Tableau Server.

07

Power BI Deep-Dive

Power Query M, DAX measures, data modeling, report design, row-level security, deployment to Power BI Service.

08

Storytelling with Data

Dashboard layout, chart selection, narrative arcs, executive summaries, before/after data presentations.

09

Analytics Engineering

Intro to dbt, staging models, tests, documentation, the 'modern data stack' analyst flow.

10

Capstone Project

End-to-end: pull data, clean it, model it, build a dashboard, present findings to stakeholders.

Hands-on project outcomes

  • Write complex SQL queries with joins, window functions, and CTEs.
  • Clean and analyse messy datasets in pandas notebooks.
  • Build interactive Tableau dashboards with parameters and LOD.
  • Build DAX-powered Power BI reports with row-level security.
  • Run A/B test analysis with proper statistical rigor.
  • Design analytics-engineering models in dbt with tests.
  • Present findings via clear executive-ready storytelling.
  • Publish a portfolio of 3+ end-to-end analytics projects.

Course learnings

  • SQL fluency — the single highest-leverage analyst skill.
  • Statistical thinking for everyday business questions.
  • BI tooling (Tableau + Power BI) at production depth.
  • Modern analytics engineering with dbt and version control.
  • How to translate vague business asks into precise queries.
  • Storytelling — turning numbers into decisions.

Career readiness, built in.

techventive.io turns this curriculum into job-ready positioning — project explanation, résumé and LinkedIn rewrites, GitHub portfolio polish, technical interview preparation, and placement-focused guidance through to the offer letter.

  • Data Analyst
  • BI Analyst
  • Analytics Engineer
  • Marketing Analyst
  • Operations Analyst
  • Business Intelligence Developer

Who can apply

Freshers, working professionals, managers, career switchers, and aspirants who want a practical, job-focused path.

Freshers
Excel Power Users
Career Switchers
Aspiring DS