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Python Data Science Bootcamp 2024: Zero to Machine Learning

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5:40:10

  • 1 -Introduction.mp4
    02:11
  • 2 -An Introduction to Python for Data Science.mp4
    15:51
  • 3 -Getting Started.mp4
    08:49
  • 4 -Creating your Jupyter Notebook.mp4
    22:12
  • 5 -Cell Types and its usage.mp4
    14:02
  • 6 -Learning about Variables- Part 1.mp4
    18:59
  • 7 -Strings, Integers, Floats and Booleans.mp4
    16:26
  • 8 -Lists and Tuples.mp4
    15:18
  • 9 -Learning about Sets.mp4
    11:08
  • 10 -A Dictionary.mp4
    10:20
  • 11 -The CRUD for Lists.mp4
    27:11
  • 12 -The CRUD for Dictionary.mp4
    19:24
  • 13 -If, Else and Elif Statement.mp4
    22:30
  • 14 -IN Statement.mp4
    13:23
  • 15 -Understanding about the For Loop.mp4
    20:19
  • 16 -About Continue, Break and Pass.mp4
    16:18
  • 17 -About the While Statement.mp4
    19:25
  • 18 -How to Loop Through Dictionaries.mp4
    14:59
  • 19 -The List Comprehensions.mp4
    07:55
  • 20 -Defining a Function.mp4
    08:03
  • 21 -Understanding Positional Arguments.mp4
    15:22
  • 22 -Having Multiple Positional Arguments.mp4
    07:45
  • 23 -Class Project 1.mp4
    05:23
  • 24 -Class Project 2.mp4
    06:57
  • More details


    Course Overview

    This comprehensive bootcamp teaches Python for data science from scratch, covering data analysis, visualization, and machine learning with real-world applications.

    What You'll Learn

    • Master Python fundamentals for data science
    • Clean and analyze data with Pandas and NumPy
    • Build machine learning models with Scikit-learn

    Who This Is For

    • Beginners with no programming experience
    • Aspiring data scientists and analysts
    • Professionals transitioning to data careers

    Key Benefits

    • Hands-on projects with real datasets
    • No prior experience required
    • Job-ready data science skills

    Curriculum Highlights

    1. Python Programming Fundamentals
    2. Data Analysis with Pandas
    3. Machine Learning Basics
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    Category
    • language english
    • Training sessions 24
    • duration 5:40:10
    • Release Date 2025/04/26