Certified Associate in Data Science

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The Certified Associate in Data Science program focuses on getting Learners thoroughly conversant with basic and advanced analytic techniques for mining, manipulating, and analyzing Big Data, familiarises you with key Big Data platforms, and provides foundations to business and industry requirements to be able to participate productively in Data analytics projects.

Validates candidate's knowledge of Data Science, establishing a baseline of skills that can continue with future levels, demonstrating more advanced and specialised skillsets.

Course has the goal of leading towards certification, which supports hiring practices by providing companies with an official evaluation and reference to the skillsets of Data Analyst and graduates.

Includes 20 hours of E-learning modules, 40 hours of classroom tutorials and more than 30 hours of Virtual Lab Exercises.

Course Summary

At the end of this course, learners will master:

  • The overview of Data Science, the technologies and infrastructure required to handle, store and manage data and broad base business application of Big Data
  • The various analytical approaches and tools using R
  • Basic and Advanced Analytical Techniques using R
  • Data preparation, social media analytics, mobile analytics, and Big Data visualization technique
  • Machine learning and its application
  • Advanced machine learning concepts such as cluster analysis, artificial neural networks, Support Vector Machines and Time series
  • Hadoop's data storage model with HDFS and HBase
  • Advanced Query features and operations with data in Hive
  • Pig to automate the design and implementation of MapReduce applications
Foundations of Data Science

Acquire a solid understanding of the fundamental concepts and tools in data science, including data exploration, statistical analysis, and programming languages commonly used in the field such as Python and R.

Big Data Analytics

Learn and practice the main principles and techniques in quantitative data analysis, and understand data and uncertainty and improve decision-making.

Integrated Data Management

Implement a strategic approach to integrating data management practices that can be applied to policy development, planning, reporting, operations and decision-making.

  • Basic Mathematical Knowledge
  • English Literacy
  • Computer Literacy
Course Details

MIRAR CADS Certification


MIRAR: Certified Associate in Data Science


3 Months


Certified Associate in Data Science

Delivery Format