10 Lessons
84 Students
Ramya
Good
According to Elite Data Science, a data science educational platform, data scientists need to understand the fundamental concepts of descriptive statistics and probability theory, which include the key concepts of probability distribution, statistical significance, hypothesis testing and regression.
To Register in Course you have to watch at least 30 Second of any lesson
What You'll Learn
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Master data cleaning techniques using Python and Excel for accurate, reliable datasets in real-world projects
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Apply descriptive statistics and probability theory to identify data inconsistencies and outliers effectively
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Utilize hypothesis testing and regression analysis to validate data assumptions and improve data quality
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Implement data preprocessing methods to prepare datasets for machine learning and data analysis tasks
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Evaluate data distributions and statistical significance to ensure data integrity and validity
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Develop practical skills in cleaning, transforming, and validating datasets for data science applications
Course Content
10 Lessons • 48 m total
Statistics for Data Science The Course Overview | packtpub com
Statistics for Data Science Understanding Basic Data Cleaning| packtpub com
Statistics for Data Science Data Mining| packtpub com
Statistics for Data Science Data Analysis| packtpub com
Statistics for Data Science Introduction to Statistical Regression| packtpub com
Statistics for Data Science Statistical Regularization| packtpub com
Statistics for Data Science Assessment and Statistical Assessment| packtpub com
Statistics for Data Science Defining Neural Network| packtpub com
Statistics for Data Science Definition and Purpose| packtpub com
Statistics for Data Science Data Structures and Data Models| packtpub com
How to Get The Certificate
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You must have an
Account
on the platform.
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Complete all lessons.
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Watch at least 50% of Lesson Duration.
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Get your Certificate free 🎉 !
4.5
(21 reviews)
Overall rating
Reviews
Be the First One Review This Course
Srisanth
help full vedio
christy
very nice
anjali
nice
Kishan Singh
good
Charles Campbell
Good Course
Fazal Ahmad
it was good
Fazal Ahmad
Good content
Ahmed Abdulkadir Ahmed
it's very importance course and I'm very happy to learn it than you for your supporting us
enrikx - Enrique Garcia Calderon
Great!! Really interesting and well organized.
Chandra Shekara Chary Devarakonda
It helped me a lot and good exolination
Mohammed Eid
Very useful Introductory module
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Basic of Data Cleaning Course Description
According to Elite Data Science, a data science educational platform, data scientists need to understand the fundamental concepts of descriptive statistics and probability theory, which include the key concepts of probability distribution, statistical significance, hypothesis testing and regression.
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