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Data Science and Data Preparation

Track :

Computer Science

Course Presenter :

SKILLFLOOR

Lessons no : 15

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What will you learn in this course?
  • Master data cleaning techniques using Python and Excel for accurate analysis and modeling
  • Apply data transformation and normalization methods to prepare datasets for machine learning and statistical analysis
  • Identify and handle missing, inconsistent, and outlier data to improve data quality and reliability
  • Utilize encoding methods to convert categorical data into machine-readable formats for analysis
  • Understand data types and structures to optimize data preparation workflows in data science projects
  • Implement data validation and quality checks to ensure dataset integrity and consistency
  • Use real-world tools to efficiently preprocess raw datasets for data visualization and insights generation
  • Develop confidence in managing datasets and applying fundamental data science principles for decision-making

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Lessons | 15


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Dharmashree

Good
2026-03-21

joseph vineeth reddy

good
2026-03-13

Ayush Pandey

good
2026-03-12

Aishwarya Tellabandla

Gooodd course
2026-03-09

esrael teferi

good
2026-03-06

Swetha S

Good
2026-03-05

Shaik Nageena

good
2026-03-04

Ravi Kumar

nice for learning
2026-03-01

Dinesh Singh Dhami

Really Great It was nice understanding
2026-03-01

FallZx -Coderid

aku menyukai kursus ini. saya asal dari negara indonesia tertarik untuk belajar di kursus Mind Luster.
2026-02-23

Mohit uadav

This really good for me and I enjoy this course
2026-01-25

Youstina melad

رائع
2026-01-25

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Related Courses

Data Science and Data Preparation, in this course we will learn about the fundamentals of Data Science and how to prepare data effectively for analysis. This 900-letter course is designed to give you a solid foundation in working with raw datasets, identifying missing or inconsistent data, and applying essential techniques to clean, transform, and structure data for modeling. You'll explore real-world tools like Python and Excel, understand data types, encoding methods, outlier handling, and normalization. By the end of the course, you'll be equipped to manage datasets confidently and apply basic data science principles for informed decision-making. Whether you're starting your data journey or reinforcing core skills, this course bridges the gap between raw data and meaningful insights. Perfect for beginners or anyone aiming to improve their data preparation workflow. Ready to start? Enroll now and begin mastering the essential step of any data science process SKILLFLOOR