🏆 HCIE Level · Expert Certification

HCIE-Big Data Data Mining (H13-731)

Master expert-level data mining techniques including data preprocessing, classification, regression, clustering, association analysis, recommendation algorithms, and PySpark MLlib. This expert-level certification demonstrates the highest competency in big data mining on Huawei's MRS platform.

Data Mining Machine Learning PySpark MLlib Classification Recommendation Algorithms MRS Python HCIE Expert

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Data Mining FoundationsPreprocessing, feature engineering & algorithms

ML Algorithm MasteryClassification, regression, clustering & ensemble

Python & PySpark MLlibEnd-to-end distributed data mining at scale

Huawei MRS PlatformCloud-native data lake & data governance

Questions

90 min

Duration

60%

Pass Score

HCIE

Expert Level

Market Trending

Data Mining Experts Drive Business Intelligence at Scale

As enterprises generate unprecedented volumes of data, expert-level data mining professionals who can design, train, and deploy machine learning models on big data platforms are among the most highly compensated technology specialists globally.

Hot

$421 B+

AI/ML Market by 2028

The AI and machine learning market is growing at explosive rates. Expert data miners who can apply classification, clustering, and recommendation algorithms to real big data platforms are in critical demand.

Expert Premium

HCIE-Level Career Value

HCIE is Huawei's highest-level certification. Holders of HCIE-Big Data Data Mining are recognized as expert practitioners capable of leading enterprise-scale data mining initiatives.

Hot

PySpark MLlib

Distributed ML at Scale

PySpark MLlib enables machine learning algorithms to run on distributed big data clusters. Engineers who master MLlib can process millions of records for classification, clustering, and recommendation tasks.

5+ Years

Recommended Experience Level

The HCIE-Big Data Data Mining certification is targeted at seasoned professionals with at least 5 years in big data and data analysis, reflecting the expert difficulty of the qualification.

Course Content

Complete H13-731 Curriculum

Click any module to expand and explore the topics covered in detail.

Introduction to Data Mining

4 Topics

Data Mining Overview

Process of Data Mining

Data Preprocessing

Feature Engineering

Regression and Classification Algorithms

5 Topics

Classification Algorithms

Regression Algorithms

Ensemble Algorithms

Clustering Algorithms

Dimensionality Reduction Algorithms

Association Analysis and Recommendation

5 Topics

Association Algorithms

Recommendation Algorithms

Prerequisites for Model Evaluation and Optimization

Optimization Models

Model Evaluation and Selection

Python Data Mining Case Analysis

4 Topics

Data Reading and Exploration

Feature Understanding and Analysis

Data Preprocessing Techniques

Modeling and Model Validation

PySpark MLlib — Distributed Machine Learning

7 Topics

PySpark MLlib Basics

Basic Statistical Analysis of PySpark MLlib

Feature Extraction and Transformation of PySpark MLlib

Classification and Regression of PySpark MLlib

Clustering and Dimensionality Reduction of PySpark MLlib

Association Rules and Recommendation Algorithms of PySpark MLlib

Evaluation Metrics of PySpark MLlib

Huawei Big Data Platform MRS

3 Topics

MRS Cloud-Native Data Lake Baseline Solution

MRS Components and Architecture

Data Governance Methodology on MRS

Learning Objectives

What You Will Master

This expert-level certification equips you with comprehensive data mining skills—from classical algorithms and Python case analysis to distributed machine learning with PySpark MLlib on Huawei's MRS big data platform.

Prerequisites

HCIA and HCIP big data knowledge, basic Python data analysis, familiarity with linear algebra basics. At least 5 years of work experience in big data and data analysis is recommended.

Master the full data mining process: data understanding, preprocessing, feature engineering, modeling, and evaluation

Apply classification, regression, clustering, ensemble, and dimensionality reduction algorithms to real-world datasets

Design and implement association analysis and recommendation systems for enterprise applications

Perform end-to-end Python data mining case analysis including data reading, feature analysis, preprocessing, and modeling

Master PySpark MLlib for distributed machine learning at scale on big data clusters

Apply PySpark MLlib for statistical analysis, feature extraction, classification, regression, clustering, association rules, and recommendation

Operate Huawei MRS cloud-native data lake platform and apply data governance methodology

Demonstrate expert-level mastery of big data mining competency at the highest level of the Huawei certification pathway

Who Is This For

Designed for Expert Data Mining Professionals

H13-731 targets experienced big data professionals who want to achieve expert-level recognition in data mining, machine learning, and Huawei's big data platform ecosystem.

Data Scientists

ML Engineers

Big Data Architects

Python Developers

Analytics Leads

HCIP-Big Data Holders

FAQs

Frequently Asked Questions

What is the H13-731 HCIE-Big Data Data Mining certification?

H13-731 HCIE-Big Data Data Mining is Huawei's expert-level big data certification focusing on data mining and machine learning. It validates expert-level mastery of data mining algorithms, Python data analysis, PySpark MLlib, and Huawei's MRS platform.

What are the prerequisites for H13-731?

Candidates should have HCIA and HCIP big data knowledge, basic Python data analysis skills, and familiarity with linear algebra. At least 5 years of work experience in big data and data analysis is recommended.

What topics does H13-731 cover?

The exam covers data mining fundamentals, classification/regression/clustering algorithms, association analysis, recommendation systems, Python data mining case analysis, PySpark MLlib distributed machine learning, and Huawei MRS big data platform operations.

What is the H13-731 exam format?

H13-731 consists of 60 questions with a 90-minute duration and a 60% passing score, delivered online through the Huawei Certification System in English and Chinese.

How do I download the H13-731 course brochure?

Click "Brochure" on this page, fill in your details, and the brochure downloads immediately. Our counsellors will contact you to discuss course schedules and enrolment options.

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Achieve Expert Status with HCIE-Big Data Data Mining

Join Zetlan Technologies' H13-731 programme and master data mining algorithms, Python data analysis, PySpark MLlib, and Huawei MRS. Earn your HCIE-Big Data Data Mining certification — Huawei's highest-level recognition in big data.

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