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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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4.5
46 Reviews

Abhishek Bhosale

good
2025-12-13

Smita Mhatugade

good course
2025-12-11

Aishwarya Maroti Zade

this course is very useful for the beginner who want to explore their career as data analyst.
2025-12-09

DEIVY JULIAN VALENCIA C.C. 1125271495

.
2025-12-03

Audace Niyonzima

Course is very interesting and helpful
2025-11-28

Abdelfatah Badwe

ok
2025-11-26

Mohd Faizaan

it is good for learning and helping grow up your skill
2025-11-23

hafis mohamed

good
2025-11-21

Santosh Wadavkar

Good
2025-11-14

KARTHIKEYAN R K

Good
2025-11-12

Iqbal_kapoot_512

good
2025-11-11

Puja Balu Bodade

good course
2025-11-10

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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.