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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
11 Reviews
Acceptable
0 Reviews
Not Good
1 Reviews
4.5
135 Reviews
PACKEER THAMBY ABDUL RAHMAN 

useful
2026-05-06

Ifeanyi Josephine 

Good
2026-05-05

Emmanuel Matiko 

Well satisfied
2026-04-30

adeoye adedeji 

good
2026-04-29

Kaldybaeva Ayana 

good
2026-04-26

Juberto Sinaga 

The course at MIND Luster was very helpful and well-structured, making it easy to follow from basic concepts to more advanced topics. The instructor explained the material clearly and provided practical examples that made the learning process engaging and effective. The platform itself was also user-friendly and supported independent learning quite well. It would be even better if more practice exercises or real-world case studies were included to strengthen understanding. Overall, this course i
2026-04-17

Wesly ING 

Ce cours est très instructifs, il ma offert une idée sur la science des données alors je vais partir de là avec tout ce que j'ai appris pour atteindre mon objectif.
2026-04-10

KEVIN S 

Nice
2026-03-31

Pnix kol 

Nice
2026-03-31

Pathan Riyaz 

thank
2026-03-23

Chalta Suhan raj 

great
2026-03-23

Dharmashree 

Good
2026-03-21

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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