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Data cleaning is the process of identifying and correcting or removing errors, inconsistencies, and irrelevant information from a dataset. The goal of data cleaning is to prepare the data for further analysis, modeling, or visualization by ensuring that it is accurate, consistent, and relevant.
Begin your professional career by learning data science skills with Data Science Dojo, a globally recognized e-learning platform where we teach students how to learn data science, data analytics, machine learning and more.
Our programs are available in the most popular formats: in-person, virtual instructor-led, and self-paced training. This means that you can choose the learning style that works best for you! From the very beginning, our focus is on helping students develop a think-business-first mindset so that they can effectively apply their data science skills in a real-world context. Enrol in one of our highly-rated programs and learn the practical skills you need to succeed in the field.
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100% positive reviews
10 students
15 lessons
English
Skill level Beginner
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