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Data Science BootCamp - From Analysing Data To Creating ML Models

Self-Paced Course
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interested count79k+ interested Geeks

This free Data Science Bootcamp will help you get started on the roadmap towards a career as top Data Scientist. Master the basics of Python, Tableau, ML, AI and more. Enrol today and start now!

levelBeginnerscourse duration6 Weeks
interested count79k+ interested Geeks
Beginner FriendlyAssessment TestsFlexible Learning
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Free Course

Course Overview

This is an absolute beginner-friendly course curated by experts, which aims to help Students and Working Professionals with basic knowledge of Python, develop a stable foundation for their Data Science Career ahead.

It aims to make you master in all the basic and advanced level skills in the various tools and technologies involved in the field of Data Science, Data Analysis, Machine Learning, Deep Learning, and Artificial Intelligence.

The course offers extensive training on the most in-demand Data Science and Machine Learning skills with hands-on exposure to key tools and technologies, including Python, Tableau, and concepts of Machine Learning. So if becoming a Data Scientist is your goal, exploring this course can help you in your learning journey.

Done with the free bootcamp? Explore Data Science & Machine Learning Course.

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What you will learn

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What you will learn

  • Data Analysis with Python
  • Working with different types of Datasets
  • DIY Datasets with Web Scraping
  • Dashboards with Tableau
  • Building ML Models from Scratch
  • NLP with NLTK and SpaCy
  • Neural Networks with Tensorflow
  • Working with Images with OpenCV
  • Computer Vision with CNN

Course Content

01Getting Started with Python
  • Python Basics
  • Loops in Python 
  • Functions in Python 
  • Strings in Python 
  • Data Structure
  • Getting started with Files
02OS with Python
  • Getting started with OS 
  • Jupyter Notebook Setup
  • OS with Python
03Mastering Numpy Arrays

Mastering Numpy Arrays

04Data Analysis with Python
  • Getting started with Pandas
  • Statistics
  • Data Preprocessing
  • Data Analysis 
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