Lorita Shaw
Founder
Data Analytics, Simplified offers live, cohort‑based courses in SQL, Power BI, and Excel that provide hands‑on practice using cloud‑hosted virtual machines and authentic datasets. The programs include portfolio‑ready projects and a $700 career‑transition package with resume, LinkedIn, mock interview coaching, and recruiter mentorship to help learners secure entry‑level analytics roles.
Founder
Many professionals seeking data‑analytics roles lack access to practical, instructor‑led training that uses real tools and datasets, resulting in skill gaps that prevent them from securing entry‑level positions. Existing self‑paced video courses often omit hands‑on practice and career‑focused support, making the transition into analytics roles difficult for career changers and beginners.
Data Analytics, Simplified delivers live, cohort‑based courses in SQL, Power BI, and Excel that combine real‑time coding, authentic datasets, and portfolio‑ready projects. Each program includes a $700‑valued career transition package featuring resume and LinkedIn optimization, mock interview coaching, and ongoing mentorship from a technical recruiter. Students work in a cloud‑hosted virtual machine environment, eliminating the need for local software installations while providing the same tools used in industry. Bundled tracks (e.g., Excel + SQL, Power BI + SQL, or the full Excel + Power BI + SQL suite) enable learners to acquire end‑to‑end analytics skills in a single pathway. Completed projects are compiled into a professional portfolio that can be presented to hiring managers. Additional offerings such as a weekly SQL project subscription and a Career Transition Accelerator extend learning and job‑search support beyond the core courses. Payment plans and employer‑reimbursement resources make the programs financially accessible.
The primary customers are career changers, beginners, and mid‑career professionals who aim to move into data analyst, business intelligence, reporting analyst, or entry‑level data engineering roles.