Tech & Data Analytics Career Accelerator
Become a Job-Ready Tech & Data Analytics Professional in 6, 12, or 18 Weeks
The Tech & Data Analytics Career Accelerator at Hirevoo Career Accelerator is built for one clear outcome: helping you secure and succeed in high-demand technology and analytics careers. This is not a passive video course — it is a rigorous, practice-heavy, placement-integrated j...
What you'll achieve
Typical salary trajectory
Based on 6,400+ Hirevoo alumni. Indicative averages only.
Where alumni work
Choose your tier
All tiers include placement support, live classes, and certification.
Tools you'll master
Program curriculum
18 modules · 200+ hours · Live classes + recorded content
Build the mental foundation and working habits of a high-performing tech professional.
Master the communication skills every tech employer evaluates from Day 1.
Think in frameworks — the skill that separates analysts from report-makers.
Understand how businesses make money so your analysis actually matters.
Rebuild the quantitative confidence tech aptitude screens demand.
Build a job-winning tech resume, LinkedIn profile, and public portfolio presence.
Master data thinking and Excel skills that underpin every analytics role.
Write the SQL queries asked in 90% of analyst and data interviews.
Use Python and pandas to automate analysis beyond Excel's limits.
Defend conclusions statistically and master Power BI and Tableau.
Expand into product analytics, predictive modelling, and AI-powered workflows.
Ship applications, cloud deployments, and modern data pipelines.
Build mindset, communication, structured thinking, and recruiter-ready positioning for tech careers.
Learners enter technical modules with structured goals, professional habits, and a placement-ready profile foundation.
Master the data thinking, Excel rigour, and SQL querying asked in most analyst interviews.
Learners independently query databases and produce manager-ready Excel analysis.
Use Python and statistics to analyse data beyond Excel and defend conclusions with rigour.
Learners run end-to-end analyses in Python and interpret experiments correctly.
Build interactive dashboards and product analytics workflows employers use daily.
Learners ship portfolio dashboards and operate as entry-level BI or product analysts.
Build applications, deploy to cloud, and create data pipelines for premium tech tracks.
Learners unlock junior developer, cloud associate, and associate data engineer pathways.
Apply ML and GenAI practically, then convert skills into interviews and offers.
Learners enter the market with a defended portfolio, sharp interview skills, and live applications.