Authorized certification for opensource projects

Global recognition of professional ability
Role-based syllabus for opensource projects

Flexible in time and fees
Customized to individual career orientation
Syllabus design based on industry best practice

Applicable to business needs, not just theoretical content
Comprehensive certificate roadmap with over 300 opensource projects

Favorable to continued career advancement in Big Data

Syllabus Highlights

Analytics Process
The analytics process of diagnostic and predictive analytics. Data prep tasks - data collection, data cleansing, data munging and data visualisation. Build analytics model - convert unstructured data into quantified metrics.
Diagnostic Analytics Essentials
Diagnostic analytics objectives, processes, data prepping. Data modelling for diagnostic analytics with Jupyter Notebook, Python and SQL Lab Data visualisation for diagnostic analytics - Apache Superset.
Predictive Analytics Essentials
Predictive analytics objectives, best practices, processes, data prepping and model building using Hive, Spark SQL and PySpark. Recognise and select an appropriate machine learning algorithm at hand. Predictive modelling - decision-tree, clustering with Jupyter Notebook, Python and scikit-learn

Certified Skills

  • Create data models for analytics function on multiple data sources
  • Prepping the data with Jupyter Notebook, Python & SQL Lab and perform diagnostics analytics with Apache Superset
  • Select an appropriate machine learning algorithm at hand with Python & scikit-learn

Exam: 50 Multiple Choices | 75 Minutes (CDPOS-M03)

For more information, please click the link for the Brochure and Syllabus.