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NAVIGATING THE
DEPTHS OF MODERN
DATA SCIENCE
Statistics is a component of applied
mathematics that collects,
describes, and analyzes
quantitative data and draws
decisions from it.
Statistical and Mathematical
1stepGrow.com
Data Collection and Cleansing:
Data cleaning applies to finding and
dismissing errors, inconsistencies,
copies, and missing entries in your
data to improve its consistency and
quality.
Exploratory Data Analysis (EDA):
Exploratory data analysis (EDA) is an
analytical method that determines
standard patterns in data.
Machine Learning Algorithms:
Machine learning algorithms are
how an Artificial intelligence system
performs a job and naturally predicts
an output value provided input data.
Big data analytics uses technology
to clean data and convert it into
data that can be used to complete
business decisions.
Using Big Data Technologies:

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Navigating the Depths of Modern Data Science

  • 1. NAVIGATING THE DEPTHS OF MODERN DATA SCIENCE Statistics is a component of applied mathematics that collects, describes, and analyzes quantitative data and draws decisions from it. Statistical and Mathematical 1stepGrow.com Data Collection and Cleansing: Data cleaning applies to finding and dismissing errors, inconsistencies, copies, and missing entries in your data to improve its consistency and quality. Exploratory Data Analysis (EDA): Exploratory data analysis (EDA) is an analytical method that determines standard patterns in data. Machine Learning Algorithms: Machine learning algorithms are how an Artificial intelligence system performs a job and naturally predicts an output value provided input data. Big data analytics uses technology to clean data and convert it into data that can be used to complete business decisions. Using Big Data Technologies: