Big Data Clustering Data Mining Hypothesis Testing 
Pickl AI
MAY 29, 2024
Mastering programming, statistics, Machine Learning, and communication is vital for Data Scientists. A typical Data Science syllabus covers mathematics, programming, Machine Learning, data mining, big data technologies, and visualisation. Domain-specific knowledge enhances relevance.
Data Science Dojo
AUGUST 30, 2023
Statistical analysis and hypothesis testing Statistical methods provide powerful tools for understanding data. An Applied Data Scientist must have a solid understanding of statistics to interpret data correctly.
Mlearning.ai
MAY 23, 2023
Once the data is acquired, it is maintained by performing data cleaning, data warehousing, data staging, and data architecture. Data processing does the task of exploring the data, mining it, and analyzing it which can be finally used to generate the summary of the insights extracted from the data.
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