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    Our Hiring Partners

    We Prepare the Right Talent for the Right Tech Careers

    At ThinqNXT, we don’t just train—we curate. Our graduates emerge ready to tackle real-world pipelines, cloud deployments,
    and production-grade ML workloads. Whether you need streaming-analytics specialists or containerized ML engineers, our talent aligns
    perfectly with your tech roadmap

    Data Analyst
    Data Scientist
    Data Engineer
    ML Engineer
    AI Engineer
    Business Analyst
    LLM Engineer

    Python

    Pandas

    NumPy

    Matplotlib

    SQL

    Tableau

    PowerBI

    GIT

    GitHub

    Scikit-Learn

    XGBoost

    NLTK

    SciPy

    PyTorch

    TensorFlow

    Chat GPT

    Claude

    LangChain

    Hugging Face

    MidJourney

    Gemini

    Dall-E

    Runway ML

    Gradio

    Data Engineer
    BigData Engineer
    CloudData Engineer
    ETL Developer
    DataOps Engineer
    MLData Engineer

    Hadoop

    Apache Spark

    PySpark

    Hive

    Kafka

    SQL

    MongoDB

    PostgreSQL

    Apache Flink

    HDFS

    Presto

    Airflow

    BigQuery

    Google Cloud Storage

    Databricks

    Apache NiFi

    Airbyte

    Apache Beam

    Feature Store

    Kubeflow

    MLflow

    Kubernetes

    DBT

    Informatica

    THINQNXT'S FEATURE

    Check Out ThinqNXT Features
    to Win Any Data Science Challenge

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    Industry-Driven Curriculum

    Endorsed by hiring managers, covering data engineering, cloud automation, ML ops, and time-series visualization.

    Endorsed by hiring managers, covering data engineering, cloud automation, ML ops, and time-series visualization.

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    Real-World Capstones

    Build production pipelines: Dockerized ETL with TDengine & Grafana, contact-tracing on Elasticsearch, time-series dashboards.

    Build production pipelines: Dockerized ETL with TDengine & Grafana, contact-tracing on Elasticsearch, time-series dashboards.

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    Mock Interviews & Career Coaching

    Simulated technical rounds, resume polishing, and LinkedIn optimization to help candidates excel.

    Simulated technical rounds, resume polishing, and LinkedIn optimization to help candidates excel.

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    24/7 Learning Portal

    On-demand video labs, architecture blueprints, code snippets, and community Q&A.

    On-demand video labs, architecture blueprints, code snippets, and community Q&A.

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    Certifications & Digital Badges

    Showcase cloud-and-data credentials on LinkedIn and your company site.

    Showcase cloud-and-data credentials on LinkedIn and your company site.

    EDUCATION FOR EVERYONE

    People like ThinqNxt education.
    No joking - here’s the proof!

    FinTech Startup
    Lead Data Engineer
    FinTech Startup

    “Within three weeks, our new data team cut ETL deployment time by 60%—and they were fully onboarded!”

    more
    E-Commerce Giant
    Head of AI
    E-Commerce Giant

    “Our fraud-detection model hit 99% accuracy thanks to their hands-on ML training.”

    more
    FinTech Startup
    Lead Data Engineer
    FinTech Startup

    “Within three weeks, our new data team cut ETL deployment time by 60%—and they were fully onboarded!”

    more
    E-Commerce Giant
    Head of AI
    E-Commerce Giant

    “Our fraud-detection model hit 99% accuracy thanks to their hands-on ML training.”

    more
    FinTech Startup
    Lead Data Engineer
    FinTech Startup

    “Within three weeks, our new data team cut ETL deployment time by 60%—and they were fully onboarded!”

    more
    E-Commerce Giant
    Head of AI
    E-Commerce Giant

    “Our fraud-detection model hit 99% accuracy thanks to their hands-on ML training.”

    more
    FinTech Startup
    Lead Data Engineer
    FinTech Startup

    “Within three weeks, our new data team cut ETL deployment time by 60%—and they were fully onboarded!”

    more
    E-Commerce Giant
    Head of AI
    E-Commerce Giant

    “Our fraud-detection model hit 99% accuracy thanks to their hands-on ML training.”

    more
    FinTech Startup
    Lead Data Engineer,
    FinTech Startup

    “Within three weeks, our new data team cut ETL deployment time by 60%—and they were fully onboarded!”

    more
    E-Commerce Giant
    Head of AI,
    E-Commerce Giant

    “Our fraud-detection model hit 99% accuracy thanks to their hands-on ML training.”

    more
    FinTech Startup
    Lead Data Engineer,
    FinTech Startup

    “Within three weeks, our new data team cut ETL deployment time by 60%—and they were fully onboarded!”

    more
    E-Commerce Giant
    Head of AI,
    E-Commerce Giant

    “Our fraud-detection model hit 99% accuracy thanks to their hands-on ML training.”

    more
    FinTech Startup
    Lead Data Engineer,
    FinTech Startup

    “Within three weeks, our new data team cut ETL deployment time by 60%—and they were fully onboarded!”

    more
    E-Commerce Giant
    Head of AI,
    E-Commerce Giant

    “Our fraud-detection model hit 99% accuracy thanks to their hands-on ML training.”

    more
    FinTech Startup
    Lead Data Engineer,
    FinTech Startup

    “Within three weeks, our new data team cut ETL deployment time by 60%—and they were fully onboarded!”

    more
    E-Commerce Giant
    Head of AI,
    E-Commerce Giant

    “Our fraud-detection model hit 99% accuracy thanks to their hands-on ML training.”

    more

    Frequently asked Questions

    Whether you’re a fresh graduate, career-switcher, or a working professional looking to upskill, our full-stack data science curriculum is designed to accommodate all levels. We start with fundamentals—no prior cloud or coding expertise required.

    Basic comfort with computers and an eagerness to learn is enough. We provide pre-bootcamp resources on Python and SQL so everyone starts on equal footing.

    Our flagship Full-Stack Data Science track runs 16 weeks, blending self-paced modules (≈10 hrs/week) with live weekend labs and mentorship sessions.

    Live Virtual Classes: Interactive sessions with instructors for deep dives and Q&A.

    On-Demand Labs: Hands-on exercises you can replay anytime.

    Capstone Workshops: Intensive hackathon-style sprints to build real projects.
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