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Data Science and Data Preparation

Course Reviews

Track :

Computer Science
Course Presenter :

SKILLFLOOR

Lessons no : 15

For Free Certificate After Complete The Course

To Register in Course you have to watch at least 30 Second of any lesson

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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
  • you can follow your course progress From Your Profile
  • You can Register With Any Course For Free
  • The Certificate is free !
Lessons | 15


We Appreciate Your Feedback

Excellent
76 Reviews
Good
47 Reviews
medium
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Acceptable
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4.5
135 Reviews
Tonay Kumar Kundu 222-15-6386 

good
2026-06-09

Kalkidan Endrias oyda 

Excellent explanation
2026-05-30

Lemlem Abayneh 

Excellent
2026-05-28

سامي احمد 

10
2026-05-28

neelima balakrishnanpp 

Please take the classes in English.
2026-05-25

Daram Santhi sagar 

Excellent
2026-05-23

GEMBALI HARIKA 

useful course
2026-05-13

Pavan Kumar 

ok
2026-05-12

Bharath Manyam 

nice
2026-05-11

Vamsi krishnna earni 

Good
2026-05-11

PACKEER THAMBY ABDUL RAHMAN 

useful
2026-05-06

Ifeanyi Josephine 

Good
2026-05-05

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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