Certificate Course In Data Analytics | CC DA

Data Analytics is a broader term that has analysis as a subhead and analytics is basically the concepts used to do the analysis. There is a growing demand for Data Analytics experts across many domains including finance, technology, education, healthcare, public sector to improve performance and sophistication of an organization.

This certificate course of one semester will help the beginners to understand the fundamentals about the Data Analytics along with hands on practical sessions with industry required software tools. Curriculum encompasses latest technologies such as big data analysis, data science, cloud computing, AI & ML, system virtualization etc. This course will set a strong foundation for promising career in the field of data analytics.

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Key Information

Objectives

  • Provide fundamental knowledge about the field of data science
  • Provide hands on training on the widely used software tools used in industry
  • Familiarize the participants with upcoming field such as AI & ML, system virtualization etc.

Learning Outcomes

After completion of the certificate course in Data Analytics, participant will be able

  • LO1: To understand fundamentals of big data, data science, AI & ML
  • LO2: To learn and apply different software tools required for data analysis
  • LO3: To learn the technologies through project based learning to solve practical problems

Assessment Method

  • Open book tests / MCQs (multiple-choice questions) / mini project / case studies etc.
  • Assessment based on laboratory activities and projects

Eligibility Criteria

  • Graduation with Computer Science / Information Technology / Electronics / Electronics and Telecommunication / Physics / Computational Sciences and allied fields OR
  • Engineering or equivalent (or in final year) with Computer Science / Information Technology, Electronics and Telecommunication / Allied programs / Any Engineering Graduate with minimum 40% in the qualifying degree. OR
  • Diploma (or in final year) in Computer Science / Information Technology, Electronics and Telecommunication / Allied programs OR
  • Relevant 6 months working experience in allied field

List of Courses

  • Data Science: Principles and Practices
  • Machine Learning
  • Big Data and Hadoop
  • Elective
    • System Virtualization and Cloud Computing
    • Artificial Intelligence
    • Python for Data Analysis and Scientific Computing
    • Data Analytics with R programming
  • Project –I
  • Project -II

Highlights & Mode of Study

Highlights

  • Syllabus aligned to industry-recognized skills with emphasis on hands on training of the techniques and tools
  • Understanding the latest tools and technologies used in Industry
  • Foundation for career in the diverse/interdisciplinary fields
  • Interaction with industry experts
  • Flexible Schedule for working professionals

Mode of Study

  • Part Time
  • Online & Offline mode of teaching
  • 15 Hrs per week + Project
  • Weekend and evening lectures