DataSeek trains students and working professionals in Data Analytics, MIS, Advanced Excel, SQL, Advanced Python, and Data Engineering on AWS & GCP — with instructors who build these systems for a living.
SELECT title, duration, level FROM courses WHERE status = 'active';
| Course | Duration | Level |
|---|---|---|
| Data Analyst Course | 8 weeks | Beginner |
| MIS Course | 6 weeks | Beginner |
| Advanced Excel Course | 4 weeks | Beginner |
| SQL Course | 4 weeks | Beginner |
| Advanced Python Course | 6 weeks | Intermediate |
| Data Engineer Course | 12 weeks | Advanced |
Start with the fundamentals or jump straight into cloud data engineering — every track is built around real datasets and real tooling.
End-to-end data analytics: cleaning, exploration, visualization and dashboarding for business decisions.
Management Information Systems training for building recurring business reports and MIS dashboards.
Formulas, pivot tables, Power Query, macros and dashboarding in Microsoft Excel.
Query real databases: joins, subqueries, window functions, indexing and query optimization.
Python for data work: Pandas, NumPy, automation, APIs and OOP for data pipelines.
Build production data pipelines: ETL/ELT, orchestration, warehousing and data modeling.
Design and deploy cloud data pipelines using AWS Glue, S3, Redshift and Lambda.
Design and deploy cloud data pipelines using BigQuery, Dataflow and Cloud Storage.
Instructors currently working as analysts and data engineers, not full-time trainers.
Every module uses messy, real-world data — not toy examples.
Hands-on labs on AWS and GCP so you leave with deployable skills.
Resume reviews, mock interviews and portfolio projects included.
Create a free account to see batch schedules, fees and syllabi for every course.
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