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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

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
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  • You can Register With Any Course For Free
  • The Certificate is free !
Lessons | 15


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medium
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4.4
107 Reviews

Qayumjonova Dildora

good
2025-12-14

Fred Ekpeti

Please can they course be done more with English
2025-12-04

DEIVY JULIAN VALENCIA C.C. 1125271495

.
2025-12-03

Mohammed Saqlain

i learned concepts of data science
2025-12-03

Sayed najibullah Mashal

Good 
2025-11-25

PALLABI BHUYAN

IT IS A VERY GOOD COURSE
2025-11-22

Ayoub Harrat

Thanks a lot!
2025-11-19

Muhammad Abdul Rehman

The Data Science certification course was very informative and well-structured. The concepts were explained clearly, and the hands-on projects helped me understand real-world applications.
2025-11-19

Anik Ghosh

good
2025-11-19

Okikechukwu Ekpe

the course is well organized
2025-11-15

Muhamad Ayaz

good
2025-11-09

MUHAMMAD kamil

excellent
2025-11-07

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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