August 2026 Intake – Final Intake for 2026 |

August 2026 Intake Now Open

Transform Your Career or Pay Nothing

Join LuxDevHQ's 6-month intensive training program in Data Science, Analytics, Data Engineering, and AI. Build job-ready skills through hands-on projects, mentorship, and internship experience.

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Join 500+ learners building careers with LuxDevHQ
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85%
Job placement rate
500+
Graduates
50+
Hiring partners
100%
Project-based learning

Pay Once, Unlock Multiple Data Programs

LuxDevHQ is built for learners who want practical outcomes, flexible support, and clear value. Train in one track, then access subsequent programs at no extra tuition cost when you stay active in your learning plan.

Program Overview

Data Engineering Bootcamp Kenya

Join a project-based learning path designed for modern hiring needs in analytics, automation, cloud workflows, and production-ready data systems.

This is one of the most career-focused options for students searching for Data Science Training Nairobi with practical mentorship and portfolio delivery.

Duration and Flexibility

Clear timeline, flexible pace

Instructor-led training is designed to run for 4 months. Depending on your pace, project depth, and support needs, the full journey can extend up to 8–9 months.

You get structured guidance plus room to progress at a sustainable pace without sacrificing quality.

Pricing and Payment Options

Flexible Payment Coding Bootcamp

Choose monthly installments or pay upfront. Students who choose full upfront payment receive a 10% discount.

LuxDevHQ is positioned as an Affordable Data Science and Analytics Course Kenya with high career value and practical outcomes.

Next intake starting soon — limited cohort slots

Enroll now to secure your spot and start building your portfolio with guided support.

Our Training Programs

Comprehensive, hands-on training designed to prepare you for in-demand tech careers

Data Science and Analytics

Learn data analysis, statistics, data visualisation, machine learning, and practical AI applications.

PythonSQLExcelPower BIStatisticsMachine LearningData Visualisation

Data Engineering

Learn to design and build scalable data pipelines, databases, data warehouses, and cloud-based data infrastructure.

SQLETLData WarehousingData ModellingBig DataCloud Platforms

Why Join LuxDevHQ?

We offer more than just training - we provide a complete career transformation experience

Hands-on Learning

Work on real-world projects with industry-standard tools and technologies

Mentorship and Support

Get guidance from industry professionals with 24/7 lab access

Flexible Learning Options

Choose from evening, online, or in-person classes to fit your schedule

Internship Experience

Gain practical experience during a 2-month internship with partner companies

Portfolio Development

Build an impressive portfolio through weekly portfolio-building sessions

Career Support

Receive one year of career support after graduation, including job placement assistance

Freelancing Support

Learn how to set up profiles on freelancing platforms and manage clients

Job Shadowing

Shadow professionals in relevant fields to gain industry insights

Success Stories

Hear from our graduates who transformed their careers through our program

Sarah K.

Sarah K.

Data Scientist at TechCorp

TechCorp
"The hands-on approach and real-world projects at LuxDevHQ prepared me for my role as a Data Scientist. The mentorship was invaluable and I landed a job within 2 months of graduation."

Program Details

Everything you need to know about our training programs

Program Structure

  • 4 months instructor-led: Structured, intensive training in your chosen field

  • Career phase extension: Depending on pace and support needs, total journey may extend up to 8–9 months

  • Pay once value: Pay for one program and unlock subsequent programs at no extra tuition

  • Certification: Receive a verifiable certificate after successful completion and project review

Learning Schedule

  • Monday to Thursday: 4 hours/day for physical classes, 3 hours/day for online classes

  • Fridays: Project work or shadowing professionals in relevant fields

  • Morning sessions: 10:00 AM to 2:30 PM EAT

  • Evening sessions: 7:00 PM to 10:00 PM EAT

Learning Formats and Fees

  • Online/Evening Classes: 7,500 KES/month (30,000 KES total)

  • Full upfront payment: Pay the full fee and receive a 10% discount

  • Monthly installment option: Spread tuition across monthly payments that fit your budget

  • Enrollment support: Admissions guidance is provided to help you choose the best track and payment plan

Requirements

  • Personal laptop: Core i5+, 8GB RAM, 500GB+ storage

  • Internet connection: Stable internet for online learners

  • Age requirement: Must be 18 years or older

  • Campus location: 1842 Lenana Road, Kilimani, Nairobi (for physical classes)

LuxDevHQ Data Engineering Curriculum (4 Months / 16 Weeks)

This 4-month course equips learners with production-ready skills in Python, SQL, Azure, AWS, Docker, dbt, Great Expectations, Apache Airflow, Kafka, Spark, Grafana, and modern lakehouse workflows.

Program Design Principles
  • • 16-week baseline delivered across 4 intensive months.
  • • Monday to Thursday: theory, guided practice, and implementation.
  • • Friday: job shadowing, peer project work, reviews, or technical demos.
  • • Saturday: hands-on labs and project-based learning.
  • • Portfolio-first delivery with production-style artifacts and capstone outputs.
Career Outcomes by Graduation
  • • Junior Data Engineer
  • • Analytics Engineer (entry level)
  • • BI/Data Pipeline Developer
  • • Data Operations Engineer (entry level)
  • • Ability to design, deploy, test, and monitor end-to-end data systems.
Week-by-Week Curriculum (Weeks 1-16)

Expanded Tool Stack
  • Languages: Python, SQL, Bash
  • Databases and warehouses: PostgreSQL, Snowflake, Redshift, BigQuery, Azure Synapse
  • Cloud and storage: Azure Blob Storage, Azure Data Lake Storage, AWS S3, GCP Cloud Storage, MinIO
  • Orchestration: Apache Airflow, Astronomer, Dagster concepts
  • Streaming and processing: Apache Kafka, Redpanda, Spark, PySpark, Spark Structured Streaming, Apache Flink
  • Lakehouse and formats: Delta Lake, Apache Iceberg concepts, Parquet
  • Transformation and quality: dbt, Great Expectations, Pandera, SQLFluff
  • DevOps and observability: Docker, Docker Compose, GitHub Actions, Terraform basics, Grafana, Prometheus, Loki
  • Governance and lineage: OpenMetadata/DataHub basics, OpenLineage/Marquez basics, IAM/RBAC, secrets management
Delivery Rhythm
  • • Monday to Thursday: instructor-led theory, demos, and implementation practice.
  • • Friday: job shadowing with senior engineers, peer reviews, or project work.
  • • Saturday: labs, mini projects, capstone milestones, and portfolio polishing.
  • • Every month ends with a build review focused on reliability, documentation, and employability.
Assessment and Portfolio Framework

Weekly check-ins include labs, mini-quizzes, and code reviews with practical build assessments.

Portfolio artifacts expected by Week 16:

  • SQL star schema and optimization case study
  • Python ETL pipeline with validation and tests
  • Dockerized data engineering application
  • Airflow-orchestrated batch workflow
  • Kafka streaming pipeline with schema strategy
  • Spark/PySpark big-data processing project
  • Delta Lake/lakehouse implementation
  • dbt transformation project with tests, docs, and lineage
  • Great Expectations data-quality reports
  • Grafana monitoring stack with Prometheus/Loki alerts
  • Final capstone repository with CI/CD, architecture diagrams, runbook, and live demo

Ready to Transform Your Career?

Join our 2026 cohort and gain the skills, experience, and connections you need to succeed in tech.

Frequently Asked Questions

Quick, clear answers about pricing, duration, and learning outcomes at LuxDevHQ.