Objectives

• Master common big data mining processes (including data preprocessing, feature engineering, modeling, model evaluation and optimization).
• Familiar with the process of using PySpark for big data mining.
• Master the basic concepts of data lakes and the operation skills of data entry into the lake.
• Master the methodology of data governance and the features of DataArts Studio, Huawei's data governance center.

Target Audience

• People who want to improve their skills in the field of big data.
• People who want to become data mining experts.

Prerequisites

• It is necessary to master the knowledge and skills of Huawei big data HCIA and HCIP;
• it is necessary to master the knowledge and skills of Python data analysis;
• it is necessary to master the basics of linear algebra;
• it is recommended to have more than 5 years of relevant work experience.

Course Details