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  • COURSE CATEGORY

  • Data Science, Machine Learning and AI

  • DEVOPS

  • CLOUD COMPUTING

  • SOFTWARE DEVELOPMENT AND TESTING

  • IT SERVICE AND PROJECT MANAGEMENT

  • MOBILE & WEB DEVELOPMENT

  • CYBER SECURITY, NETWORKING & BLOCK CHAIN

  • DATABASES & BIG DATA

  • BUSINESS INTELLIGENCE

  • WINDOWS & VIRTUALIZATION

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All Courses

  • Data Science, Machine Learning and AI

  • DEVOPS

  • CLOUD COMPUTING

  • SOFTWARE DEVELOPMENT AND TESTING

  • IT SERVICE AND PROJECT MANAGEMENT

  • MOBILE & WEB DEVELOPMENT

  • CYBER SECURITY, NETWORKING & BLOCK CHAIN

  • DATABASES & BIG DATA

  • BUSINESS INTELLIGENCE

  • WINDOWS & VIRTUALIZATION

20 Ratings 20 Learners

Course Overview

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Course Curriculum

Benefits

Pre-requisites

Course Content

  • Python Basics for Data Science
  • Data Manipulation with Pandas
  • Data Visualization with Matplotlib and Seaborn
  • Exploratory Data Analysis (EDA)
  • Unsupervised Learning Techniques
  • Model Evaluation and Optimization
  • Natural Language Processing (NLP) Basics
  • Deploying Data Science Models
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Exam & Certification

  

Course Reviews

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I now feel confident in tackling complex coding challenges.

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"The Data Science with Python course was comprehensive and hands-on. The balance between theory and practical exercises made complex topics easier to understand. Highly recommend!"

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"Excellent course! The instructors explained data science concepts clearly, and the Python exercises were practical and relevant. I feel more confident in applying these skills to real projects."