Title: top data science tools in 2023
1Top Data Science Tools in 2023
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2Table Of Content
- Google Analytics
- Microsoft Excel
- Apache Spark
- Tensor flow
- BigML
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3Google Analytics
A tool offered by Google called Google Analytics
is widely used to monitor website user activity.
You may analyze the visitor statistics on your
website with the help of the Google Analytics
tool. The primary tool for traffic control in
all areas is Google Analytics. Nearly all the
content you publish online may be tracked and
kept an eye on in your dashboard.
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4Microsoft Excel
A spreadsheet is a computer program used to add,
display, analyze, organize, and work with data
in rows and columns. It is the most widely used
application for data visualization, analytics,
and accounting. To put it another way,
spreadsheets are grid- based, scaleable files
used to collect data and carry out calculations.
Spreadsheets are used by people all around the
world to build tables for both personal and
professional purposes.
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5Apache Spark
Big data workloads are processed using Apache
Spark, an open- source distributed processing
engine. It uses efficient query execution and
in-memory caching for quick analytic queries
against any data size.
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6Tensor flow
An open-source software library is TensorFlow.
TensorFlow was initially created by researchers
and engineers working on the Google Brain Team
within Google's Machine Intelligence research
organization to conduct deep learning and
machine learning research. Still, the system is
versatile enough to be used in a variety of
other domains as well.
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7BigML
It is simple to solve and automate
Classification, Regression, Time Series
Forecasting, Cluster Analysis, Anomaly
Detection, Association Discovery, and Topic
Modeling issues with the help of BigML, a
consumable, programmable, and scalable Machine
Learning platform.
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8THANK YOU!
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