BIG DATA – Data Career Program
Live + recorded dual-track lessons 6+1 hands-on projects 1:1 guidance from industry mentors Career support services
  • Live + recorded dual-track lessons
  • 6+1 hands-on projects
  • 1:1 guidance from industry mentors
  • Career support services

Target Audience

  • Beginners interested in
    Big Data, Data Analysis, or FinTech
  •         

  • Students looking to
    enhance their CV/resume with project experience
  • Business or finance professionals
    aiming to transition into data-related roles

Suitable Majors

1. MIS, Data Analytics, and other data-related fields
2. FinTech, Financial Engineering, Quantitative Finance, and other business/finance fields
3. Mathematics, Physics, and other STEM fields

Career  Fields

Technology, Investment Banking, Insurance, Finance, Accounting, New Energy, Biotech & Healthcare, etc
Current Mainstream Positions

Current Mainstream Positions

Data Engineer
Data Scientist
Data Analyst
Business Analyst
Quant Analyst

You will learn

  • Master advanced Python features, including decorators, closures, and file system operations, to boost your hands-on project skills
  • Deeply understand the GIL, enabling you to apply multithreading and multiprocessing models effectively and optimize performance
  • Proficiently use collections and regular expressions to handle complex data structures and text processing
  • Grasp core OOP concepts to model complex systems and improve code reusability
  • Learn SQL query optimization techniques, including CTEs, window functions, and transaction control (ACID)
  • Gain experience designing stored procedures and functions to modularize your data processing logic
  • Understand the differences between NoSQL and relational databases to choose appropriate data storage solutions
  • Perform data modeling based on business requirements to support complex queries and scalable data structures
  • Master data governance and compliance strategies for enterprise-level data management
  • Work with Snowflake data warehouse, learning resource scheduling, data sharing, and zero-copy cloning
  • Build automated data workflows with Airflow, managing task dependencies and scheduling
  • Learn Docker basics and containerized deployment to ensure cross-environment consistency
  • Understand Kafka messaging and partitioning to build high-availability data streaming platforms
  • Get hands-on with Spark RDDs, DataFrames, and SQL interfaces for large-scale parallel data processing
  • Use AWS Glue, Athena, Redshift, and other tools to build serverless data platforms
  • Project-driven learning covering the full data lifecycle: ingestion, ETL, orchestration, data warehousing, and visualization

Course Highlights

Comprehensive Core Skills

Master Python programming fundamentals and advanced features, while gaining in-depth knowledge of relational and non-relational databases such as MySQL, MongoDB, and Neo4J. Learn standardized database design and architecture to build strong technical foundations.

Immersive Industry-Level Projects
Simulate real work scenarios with enterprise-grade project code and complete PRDs, focusing on business logic and enhancing your problem-solving skills in practical contexts.
Integrated Learning: Course + Assignments + Projects

Combine lessons with hands-on exercises and mini-projects to learn by doing, quickly master key skills, and create showcase-ready technical outcomes.

Drill Platform

Our self-developed Drill Coder platform hosts 2000+ high-frequency coding and interview questions, curated question sets, and up-to-date interview problems to help you efficiently tackle coding assessments.

Guidance from North American Mentors

Learn from experienced data engineers in North America via live English sessions, with 24/7 multi-platform support to answer your questions and ensure continuous guidance.

1:1 Career Acceleration Services

Receive end-to-end support including career planning, resume optimization, networking strategy, coding and behavioral interview coaching, mock interviews, and post-interview feedback to help you land your ideal job smoothly.

Industry Overview

From technology to all sectors, Big Data is emerging as one of the strongest economic drivers in the USA
Big Data has become a core driving force of U.S. economic development
  • Economy
  • Technology
  • National Security
  • Social Governance
The Big Data industry generates $1.7 trillion in revenue, accounting for nearly 10% of U.S. GDP
Big Data injects strong into U.S. industrial growth and the job market
  • Contributes an additional 3.4%–4.8% to U.S. GDP growth
  • Creates 2.4 million new jobs

Market Outlook & Career Pathways

01
Surging Talent Demand
  • The U.S. Big Data market is projected to exceed $3 trillion by 2025
  • Big Data roles rank #1 in job growth nationwide, with openings expected to reach 1.5× last year’s level
  • 87% of companies believe candidates must possess AI and Big Data skills
02
Significant Salary Advantage
Entry-level average salary: $129K/year, Top earners: up to $162K/year(Based on U.S. 2025 employment data)
03
Major U.S. cities are offering high-paying opportunities for Big Data talent
Major U.S. cities are offering high-paying opportunities for Big Data talent
Data Engineer Entry Level Salary(Yearly)
04
Multi-Dimensional Promotion Pathways

Industry-Level Hands-On Project – Claim Data Analysis

Cloud-Native Healthcare Data Governance & Analytics Platform
End-to-End Data Pipeline Practice on AWS
UnitedHealth Group is a global leader in healthcare and insurance services. As a Fortune 500 company, it achieved $324 billion in revenue in 2023, ranking first among healthcare companies worldwide.
Industry Position & Impact
  • Serves nearly 50% of hospitals and 70% of healthcare organizations across the U.S.
  • Ranked #1 in the healthcare sector on Fortune’s 2023 “World’s Most Admired Companies” list.
  • In data science, Optum is recognized by Glassdoor as one of the best employers for data analytics.
Healthcare Big Data Applications
  • Analyzed over 150 million patient records using OptumInsight to optimize treatment plans and insurance pricing.
  • Collaborated with AI companies to develop predictive models, reducing hospitalization rates and improving chronic disease management efficiency.
The project built a multi-source data environment, implementing cloud-native data processing pipeline
the following end-to-end workflow: 
Multi-source medical data collection
Data lake ingestion and data validation
Structured data catalog and metadata
SQL-based querying and visualization report
The project integrated  10+ AWS service components , including RDS, DMS, Glue (Crawling, Catalog, ETL), Athena, Lambda, and QuickSight. It enables end-to-end hands-on practice of cloud-based data processing in the healthcare domain, providing high-value practical experience for roles such as Data Engineer, Data Governance Specialist, and Healthcare Data Analyst.     
Claim Data Analysis Project
Traditional Projects
An industrial-grade big data project aligned with big tech business logic.
Focus mainly on teaching technologies, detached from real business systems
The platform provides comprehensive business data with realistic, complex datasets exceeding 100GB of raw data.
No data provided, or data is simple and small in scale
Proficient in the most popular big data tech stack: Databricks, Snowflake, Kafka, AWS S3, AWS Glue, AWS EMR, Spark, etc.
Leave no lasting impression
Integrated all-in-one platform.
Require downloading multiple software tools across platforms
Deep cooperation with big tech companies, customized development: precisely designed project depth and difficulty for students at different levels.
Rigid and standardized project design

Mini Project

Airflow-Based Automated Financial Data Pipeline — ETL Practice from S3 to Snowflake

Utilized Airflow to process financial data by cleansing and loading datasets from AWS S3 into the Snowflake cloud data warehouse, implementing ETL workflow scheduling and monitoring.

S3
ETL
Airflow
Snowflake
Enterprise Employee Data Intelligent Governance Platform — Snowflake Data Modeling and Airflow Automation Practice

Implemented automated scheduling with Airflow to orchestrate Snowflake in processing and modeling enterprise employee data, enabling intelligent governance of multi-source heterogeneous datasets.

S3
ETL
Airflow
Snowflake
Dimonational table / Fact table
Kafka Practice: Building a Data Tunnel

Built a data tunnel with Kafka to maintain synchronization between two databases.

Kafka
Kafka Practice: Building an ETL Pipeline

Constructed an ETL pipeline with Kafka to perform regular data cleansing and transformation for subsequent analysis.

Kafka
Spark Big Data Processing Practice — Enterprise Employee Salary Data

Built an automated analysis and processing system for enterprise employee salary data using Spark, enabling efficient handling and in-depth exploration of large-scale salary datasets.

Spark DataFrame
Data Frame API
Spark SQL
AWS Practice — Enterprise-Level Cross-Cloud Database Migration

Designed an enterprise-level cross-cloud database migration solution on the AWS platform, enabling migration of data from traditional databases to AWS cloud databases.

AWS
RDS
DMS
S3
Glue
Lambda

Big Data – Data Career Program

  • 12m
    Data Pro
    Job Search Service + Real-World Projects
    12 Months Service Period
    Service Team
    Lead Mentor(FAANG / Leading Tech Companies)
    TA(Q&A and Assignments)
    Class Advisor(Full-Service Student Support)
    CTO(Strategic Advisor)
    Skill Enhancement
    10 Hours Live Courses:Industrial-Grade Projects
    90 Hours Recorded Classes
    Algorithms and Data Structures
    One-on-One Service(25 Hours with a Personal Mentor)
    Personalized Career Planning & Analysis
    Job Market Insights & Role Analysis
    Mock Interviews with Current North American Tech Company Mentors
    Interview Review with Current North American Tech Company Mentors
    Resume Refinement & Highlight Extraction
    Networking & Referral Resource Building
    Behavioral Interview Coaching / Practice(BQ)
    Technical Interview Coaching / Practice(TQ)
    Job Search Service
    Customized Career Planning Solutions
    Regular Job Opening Updates
    Application Progress Tracking & Review
    Resume Distribution to 300+ Positions
    Internal Referral
    Value-Added Services
    Online and Offline Seminar Benefits
    Drill Coder - Self-Developed Authentic Questions Platform(Service Period)
  • 6m
    Data Standard
    Job Search Service + Real-World Projects
    6 Months Service Period
    Service Team
    Lead Mentor(FAANG / Leading Tech Companies)
    TA(Q&A and Assignments)
    Class Advisor(Full-Service Student Support)
    CTO(Strategic Advisor)
    Skill Enhancement
    10 Hours Live Courses:Industrial-Grade Projects
    90 Hours Recorded Classes
    Algorithms and Data Structures
    One-on-One Service(15 Hours with a Personal Mentor)
    Personalized Career Planning & Analysis
    Job Market Insights & Role Analysis
    Mock Interviews with Current North American Tech Company Mentors
    Interview Review with Current North American Tech Company Mentors
    Resume Refinement & Highlight Extraction
    Networking & Referral Resource Building
    Behavioral Interview Coaching / Practice(BQ)
    Technical Interview Coaching / Practice(TQ)
    Job Search Service
    Customized Career Planning Solutions
    Regular Job Opening Updates
    Application Progress Tracking & Review
    Resume Distribution to Positions
    Internal Referral
    Value-Added Services
    Online and Offline Seminar Benefits
    Drill Coder - Self-Developed Authentic Questions Platform(Service Period)
  • 6m
    Data Basic
    Recorded Course Services
    6 Months Service Period
    Service Team
    Lead Mentor(FAANG / Leading Tech Companies)
    TA(Q&A and Assignments)
    Class Advisor(Full-Service Student Support)
    CTO(Strategic Advisor)
    Skill Enhancement
    100 Hours Recorded Classes
    Live Courses
    Algorithms and Data Structures
    One-on-One Service(5 Hours with a Personal Mentor)
    Personalized Career Planning & Analysis
    Job Market Insights & Role Analysis
    Mock Interviews with Current North American Tech Company Mentors
    Interview Review with Current North American Tech Company Mentors
    Resume Refinement & Highlight Extraction
    Networking & Referral Resource Building
    Behavioral Interview Coaching / Practice(BQ)
    Technical Interview Coaching / Practice(TQ)
    Job Search Service
    Customized Career Planning Solutions
    Regular Job Opening Updates
    Application Progress Tracking & Review
    Resume Distribution to Positions
    Internal Referral
    Value-Added Services
    Online and Offline Seminar Benefits
    Drill Coder - Self-Developed Authentic Questions Platform(Service Period)

Student Review

  • Finding it difficult to land a job after graduation, I decided to switch to the IT industry. I enrolled in an algorithm course, and with the help of Teacher Zack, I went from just memorizing to truly understanding the essence of algorithms. He simplified complex problems and helped me solve them successfully, ultimately leading to me receiving an offer.

    Jason Liu
  • I have a foundation in programming and algorithms. I first encountered DrillInsight because of its question bank, and I must say, the content is excellent. It covers real questions from both major tech companies and non-IT companies. In the end, I successfully passed the interview. Thanks to the teachers for their dedication and help!

    Yifan Yao
  • I am a CS major, strong in programming but weak in algorithms, which made job hunting difficult. I chose an algorithm course, where a full-time teacher taught from the fundamentals, helping me truly understand the 3Ws of algorithms (what, why, when). Beyond the course, the teacher also shared valuable interview tips. The course left a deep impression on me.

    Eric Wang

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  • 24/7 Q&A support
  • Live lessons throughout the course, in real time
  • 1-on-1 resume revisions and job referrals

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