Credits: 4

Course Type: CERTIFICATE

Specific objectives of this Course:

   Develop a depth understanding of the key technologies in data science and machine learning using visualization techniques, predictive modelling and statistics.

•       A clear understanding of machine learning algorithms and applications.
•       Practice problem analysis and decision-making.
•       Gain practical, hands-on experience with R programming languages and applied research experiences.

Learning outcomes:

After completing this course, you will be able to

•     Expertise in data analysis or use of statistical techniques
•     Enable to become efficient Statisticians through occupying positions in various areas of data analysis.
•     Understand to use R to clean, analyze and visualize data.
•     Learn skills of fundamental machine learning to predict the outcome for future datasets.
•     Apply principles of Data Science to the analysis of business problems.

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Pre-requisite Courses:

For pursuing this course, students are required to be familiar with the following concepts:

Compulsory: Basic concepts of Mathematics, Statistics and Basic computer knowledge

Desirable: Plus two Mathematics, BSc Statistics, BSc Mathematics, BCom, MCom, BBA, BA &MA Economics (Pursuing or completed)