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Data Science and Data Preparation Course

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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  • The Certificate is free !
Lessons | 15


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Excellent
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4.5
165 Reviews

Shoaib Hussain

good
2026-09-24

Amna Zehra

Great learning experience.
2026-09-19

Birahim Mbaye

JE SUIS TELLEMENT SATISFAIT
2026-09-19

Moussa

Cours concis et très complet
2026-09-17

Ellavarasi Siva

Very Useful
2026-09-10

Md.Shakil Ahmed

good
2026-09-03

K. Shailaja

Good
2026-09-02

MD ASIF PAPON

This course is very helpful and informative.I learned a lot about data science and improved my knowledge and skills.thank you for providing the course.
2026-08-29

ABDUL WAHEED TOHEEB OLANREWAJU

Amazing!!
2026-08-24

Abu Raihan

its good
2026-08-23

Apurva Belkunde

it was useful
2026-08-20

gladys katunge

awesome
2026-08-18

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Data Science and Data Preparation Course Description

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