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Data cleaning with python for data analytics

Track :

Computer Science

Lessons no : 3

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What will you learn in this course?
  • Master data cleaning techniques using Python libraries like Pandas and NumPy for accurate data analysis and preprocessing
  • Identify and handle missing values, outliers, and duplicates to improve data quality and integrity in datasets
  • Apply data transformation and normalization methods to prepare datasets for machine learning and statistical modeling
  • Develop efficient workflows for data cleansing, ensuring reliable insights and robust data-driven decision-making

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Lessons | 3


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Excellent
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Good
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medium
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4.5
62 Reviews

Rishabh Kumar

excellent course
2026-04-05

Shikkam Yusuf

good
2026-03-29

Kotte Gopi

ok
2026-03-23

Oussama Toujar

This course was useful for learning data cleaning with Python for data analytics. It clearly explained how to handle missing data, remove duplicates, and prepare datasets for analysis.
2026-03-13

dinesh kumar

This course was very helpful for me. I learned many new things about the subject and the explanations were clear and easy to understand. The course content was well structured and useful for beginners. Thank you for providing this course.
2026-03-07

alina

Good
2026-03-02

Sai Thanusha Yelavarthi

Good
2026-02-25

Cherukuri Sunny

Excellent
2026-02-23

chirag

Good
2026-02-18

Shadab Ansari

Too good
2026-02-08

Kishore kumar

Excellent
2026-02-08

Muhammad Waqas

great
2026-02-03

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Data cleaning with python course in hindi, in this course you'll delve into the essential techniques and tools for effective data cleaning using Python. From handling missing values to detecting and removing outliers, you'll gain hands-on experience with various data cleaning methods. Throughout the course, we'll explore key Python libraries such as Pandas and NumPy, mastering their functionalities for data manipulation and transformation. By the end, you'll emerge equipped with the skills to preprocess and cleanse datasets efficiently, ensuring data integrity and reliability for downstream analysis and modeling tasks. Whether you're a beginner seeking to refine your data cleaning skills or a seasoned data professional aiming to enhance your Python proficiency, this course is tailored to empower you with practical knowledge and expertise in data cleaning with Python.