Udemy - Data Science_A Practical Guide for Beginners

  • Category Other
  • Type Tutorials
  • Language English
  • Total size 1.4 GB
  • Uploaded By freecoursewb
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  • Last checked 2 weeks ago
  • Date uploaded 8 months ago
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Infohash : 182185635C28EF0DA72A47267546890279FAFB8D



Data Science_A Practical Guide for Beginners

https://WebToolTip.com

Published 4/2025
Created by Dr Padmini Panneer Selvam
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 20 Lectures ( 3h 24m ) | Size: 1.36 GB

Mastering the Fundamentals Through Real-World Applications and Hands-On Projects in Data Science

What you'll learn
Students will learn the end-to-end workflow of data science, from data collection and exploration to analysis and visualization.
Students will gain proficiency in using Numpy and Pandas to manipulate, transform, and analyze datasets through basic operations and functions.
Students will learn how to clean, handle missing data, and prepare datasets for analysis using techniques like data transformation and summarization.
Students will learn to create and customize various types of visualizations (e.g., scatter, line, bar plots) to communicate data insights effectively.
Students will acquire techniques for efficiently merging, concatenating, and reshaping large datasets, ensuring smooth handling of complex data.

Requirements
Learners should have a basic understanding of mathematics and statistics, familiarity with programming fundamentals (preferably in Python), and a keen interest in data-driven problem solving.

Files:

[ FreeCourseWeb.com ] Udemy - Data Science_A Practical Guide for Beginners
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 1 - Introduction
    • 1 -Introduction to Data science.mp4 (111.3 MB)
    • 10 -Lecture 11EXPLORING DATA USING SERIES AND DATA FRAME.mp4 (97.5 MB)
    • 2 -Facets of data.mp4 (85.2 MB)
    • 3 -Lecture 4Data Science Process.mp4 (69.6 MB)
    • 4 -Lecture 5 Introduction to Numpy.mp4 (29.3 MB)
    • 5 -Lecture 6Creating array, attributes and objects.mp4 (37.8 MB)
    • 6 -Lecture 7Array basic operations.mp4 (66.0 MB)
    • 7 -Lecture 8 ARRAYS JOIN,SPLIT,SEARCH SORT.mp4 (93.5 MB)
    • 8 -Lecture 9Array indexing,slicing and iterating.mp4 (91.7 MB)
    • 9 -Lecture 10copying arrays,Array shape manipulation.mp4 (48.9 MB)
    2 - Data Wrangling and Data Cleaning in Data Science
    • 1 -Problems facing when handling large volumes of data.mp4 (39.5 MB)
    • 10 -String Manipulation.mp4 (51.2 MB)
    • 2 -lecture 13General Techniques for handling large volumes of data.mp4 (71.3 MB)
    • 3 -General Programming Tips when handling large volumes of data.mp4 (21.4 MB)
    • 4 -Data Wranglling.mp4 (93.0 MB)
    • 5 -Combining and Merging Data Sets.mp4 (101.8 MB)
    • 6 -Reshape in Data Wrangling.mp4 (74.1 MB)
    • 7 -Data Cleaning and Preparation.mp4 (61.9 MB)
    • 8 -Handling Missing Values.mp4 (65.8 MB)
    • 9 -Data Transformation.mp4 (82.3 MB)
    • Bonus Resources.txt (0.1 KB)

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