Data Interpretation. Mastering these pillars unlocks data science's power to drive innovation and inform decision-making.For more information about the data science course.

1. THE FOUR PILLARS OF
DATA SCIENCE
DATA COLLECTION:
1.
2.
3.
4.
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Gathering structured
and unstructured
data from various
sources, ensuring
data quality and
integrity.
DATA PROCESSING:
Cleaning,
transforming, and
preparing data for
analysis to extract
meaningful insights.
Applying statistical
and machine learning
techniques to identify
data patterns, trends,
and correlations.
Interpreting the
analysis results to
make informed
decisions and drive
business strategies.
DATA ANALYSIS:
DATA
INTERPRETATION: