EICTA, IIT Kanpur

Professional Certificate course in Data Science

Master Data Science and Machine Learning Techniques with Hands-On Projects and Expert Guidance

  • Certificate from E&ICT Academy, IIT Kanpur upon course completion.
  • Comprehensive 84-hour program delivered through live online sessions and self-paced modules.
  • Engage in 25+ hands-on projects, including real-world applications using Python, SQL, and Tableau.
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Professional Level

Certification

Online Live

84 Hours

Course Duration

What you'll learn

  • Develop a solid foundation in statistics, mathematics, and programming languages essential for data science.
  • Gain proficiency in data exploration, cleaning, preprocessing, and visualization techniques.
  • Apply machine learning algorithms for classification, regression, clustering, and feature selection.
  • Implement statistical models for hypothesis testing, inferential statistics, and predictive analytics.
  • Communicate data-driven insights effectively to both technical and non-technical stakeholders.

Skills you'll gain

Python ProgrammingData Analysis and VisualizationMachine Learning AlgorithmsStatistical ModelingData Preprocessing TechniquesCommunication of Analytical Findings

Tools

Python
Tableau
MySql
scikit learn
numpy
matplotlib
jupyter
pandas

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Certificate

Course Instructor

Amit Arjun Verma

Amit Arjun Verma

Amit has a Ph.D. from the IIT-Ropar with research interests in Natural Language Processing, Collective Intelligence, Collaborative Knowledge building, and Open-Source software development. He has worked on core NLP problems with large-scale datasets on efficient representation and extraction of the

Course Fee

130000.00 +GST

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Learn from Industry Experts

Gain insights from seasoned professionals with extensive experience in data science and analytics.

Hands-On, Project-Based Learning

Engage in practical exercises and projects that simulate real-world data science challenges.

Online Live Sessions

Participate in live sessions with the convenience of online access, complemented by recorded lectures for review.

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