Algorithm Data Analysis Tools Data Preparation Data Validation 
Knowledge Hut
JANUARY 25, 2024
In the context of data science , clean data is crucial because the quality of your data directly impacts the reliability of your analysis and the outcomes of your algorithms. It's a foundational step in data preparation, setting the stage for meaningful and reliable insights and decision-making.
ProjectPro
DECEMBER 22, 2016
Data analysis involves data cleaning. Results of data mining are not always easy to interpret. Data analysts interpret the results and convey the to the stakeholders. Data mining algorithms automatically develop equations. Data analysts have to develop their own equations based on the hypothesis.
Expert insights. Personalized for you.
52 
Let's personalize your content