Today’s organisations operate in a data-driven environment where success depends on the ability to convert raw data into meaningful insights and actionable business strategies. Employers increasingly seek professionals who can not only analyse data but also translate insights into AI-powered solutions that drive efficiency, innovation, and competitive advantage.

The Professional Certificate Program in Data Analytics & Artificial Intelligence is a comprehensive, application-oriented qualification designed for:

  • Final-year undergraduate students

  • Fresh graduates from any discipline

  • Early-career professionals seeking to transition into data and AI roles

This program enables participants to launch or accelerate their careers in data analytics, machine learning, and AI-based business solution delivery.


DATA ANALYTICS WITH PYTHON

This course provides comprehensive training in data analysis techniques using two of the most powerful programming languages in analytics — R and Python. The program focuses on data manipulation, statistical analysis, visualization, and predictive modeling to support evidence-based decision-making.

Participants will gain hands-on experience in working with real-world datasets, applying analytical methods, and interpreting results for business and research applications.

Course Objectives:

1.   To get the students familiar about the Concepts of Descriptive Statics through tests.

2.   To study the concepts of Inferential Statistics and ANOVA.

3.   To study in detail the techniques and history of Data Visualization.

4.   To study the basic and concepts of Big Data Analytics, Data Mining and Clustering.

 


DATA ANALYTICS WITH PYTHON LAB

  • Course Objectives:
  • To learn the basic process of data science 
  • To learn Python notebooks.
  •  To have an applied understanding of how to manipulate and analyze uncurated datasets, basic statistical analysis and machine learning methods.
  •  To have an understanding on how to effectively visualize results.

DATA MINING

Course Objectives:

  • To learn data mining and Data preprocessing concepts.
  • To know about the association rules in data mining.
  • To perform various Classification and clustering algorithms.
  • To understand the strengths and limitations of various data mining models.