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Data Science Fundamentals with Python Live
Live Lesson IconLive / group

Data Science Fundamentals with Python Live

Rating★ 3.9166666666666665 (12)
Duration35 Hours
LevelIntermediate
CategoryDevelopment

About this course

Data science deals with the analysis of vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions.

Data Science Fundamentals with Python Live is an interactive course that will help you understand analytical techniques with data like exploration, visualization, and various predictive analytic techniques by implementing real-life, industry-oriented data science projects with concepts about various popular machine learning algorithms using data science programming language.

All classes are instructor-led and online. Both 1-1 training sessions and group classes are possible. Enroll to take a free trial. 

Why learn with Infyni Kids

  • 100% Verified Teachers
  • Weekly Evaluation
  • Personalized Homework Support
  • Regular PTM
  • Guarantee Child’s Success
  • Progress Reports

What you'll learn

✓Statistical Techniques;Business Decisions;Analytical Thinking;Python;Numpy;PANDAS;Data Analytics Types;Data Modelling;Data Clustering;Hierarchical Clustering

Course content

7 modules

Your instructor

Dr. Suresh Kumar
Dr. Suresh Kumar✓
4747 students41 courses374 reviews

Innovative, Research Oriented, Quality Minded and result oriented Disruptive Data Scientist with 26+ years of experience executing data-driven analytical solutions to increase efficiency, accuracy and utility of internal data processing. Master in Experiential Learning methodology. Experienced at creating predictive data models, BeSpoke ML/DL algorithms for efficient AI and analyzing data mining algorithms to deliver insights and implement action-oriented solutions to complex business problems

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Not right for you? Full refund within 7 days or after 2 classes - no questions asked.

This course includes

Level iconLevel: Intermediate
Session iconSession: Group
Duration iconDuration: 35 Hours
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