Data Analytics & Data Science

AdvancedTechnical100 hours25 modules

Explore data insights and develop predictive models.

Learning Objectives

  • Analyze complex datasets
  • Build predictive models
  • Use statistical analysis tools
  • Present data-driven insights

Course Details

Prerequisites:

Statistics background helpful

Certification:

Data Science Professional

Curriculum Overview

1
Week 1-2: Statistics and Probability
2
Week 3-4: Python for Data Science
3
Week 5-6: Data Cleaning and Preparation

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Module Details

Learning Materials

Industry Applications

Career Opportunities

Course Requirements & Certification

Completion Criteria

  • Attend at least 90% of all sessions
  • Complete all assigned practical exercises
  • Score at least 70% on the final assessment
  • Submit the capstone project (if applicable)

Assessment Methods

  • Multiple-choice quizzes after each module
  • Practical assignments and case studies
  • Final comprehensive examination
  • Hands-on project demonstration

Certification Process

  1. Complete all course requirements
  2. Pass the final assessment with minimum 70% score
  3. Submit feedback form
  4. Certificate will be issued within 7 working days after course completion
  5. Digital certificate will be emailed and physical copy will be sent to your department

Certificate Validity & Recognition

The Data Science Professional is valid for 3 years from the date of issuance. Recertification may be required to maintain the credential, depending on industry standards and company policy.

This certification is recognized across all Tata Steel facilities and is aligned with industry standards. It may also contribute to your professional development credits for external certifications where applicable.

Career Advancement

This certification contributes to your professional development at Tata Steel and may be considered during performance reviews and promotion opportunities. It demonstrates your commitment to skill enhancement and continuous learning.

Employees who complete this course may be eligible for advanced courses in this domain and may be considered for specialized roles requiring expertise in Data Analytics & Data Science.