CCNA
CCNA certified professionals can install, configure, and operate
LAN, WAN, and dial access services for small networks (100 nodes or
fewer), including but not limited to use of these protocols: IP,
IGRP, Serial, Frame Relay, IP RIP, VLANs, RIP, Ethernet, Access
Lists. CCNA certifications are valid for three years. To recertify,
either pass the current CCNA exam, or pass the ICND exam, or pass
any 642 professional level or Cisco Qualified Specialist exam
(excluding Sales Specialist exams), or pass a CCIE written exam on
or after October 1, 2004.
In early 1980's, Len Sandy Bosack, a married couple who worked
in different computer departments at Standford University, were
having trouble getting their individual systems to communicate. So,
in their living room they created a gateway server that made it
easier for their disparate computers in two different departments
to communicate using the IP protocols.In 1984, they founded cisco
systems.
The first product the company marketed was called the Advanced
Gateway Server (AGS). later Mid-Range Gateway Server (MSG), the
Compact Gateway Server (CGS), the Integrated Gateway Server
(IGS)and the AGS+.
nterconnecting of Cisco
Networking Devices.
Exam: 640-821: Introduction to Cisco Networking
Technologies.
There are CCNP, CCIE, CCDA, CCDP, CCSP .
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DATA SCIENCE
Data science is a multidisciplinary field that combines statistics, computer science, and domain expertise to extract insights and knowledge from data. It involves various processes, including data collection, cleaning, analysis, and visualization. Key components of data science include:

Data Collection: Gathering data from various sources, such as databases, APIs, or web scraping.

Data Cleaning: Preparing the data for analysis by removing errors, handling missing values, and ensuring consistency.

Exploratory Data Analysis (EDA): Analyzing the data to discover patterns, trends, and relationships through visualization and summary statistics.

Modeling: Applying statistical and machine learning techniques to make predictions or classify data.

Evaluation: Assessing the performance of models using metrics like accuracy, precision, and recall.
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DATA SCIENCE
Data science is a multidisciplinary field that combines statistics, computer science, and domain expertise to extract insights and knowledge from data. It involves various processes, including data collection, cleaning, analysis, and visualization. Key components of data science include:

Data Collection: Gathering data from various sources, such as databases, APIs, or web scraping.

Data Cleaning: Preparing the data for analysis by removing errors, handling missing values, and ensuring consistency.

Exploratory Data Analysis (EDA): Analyzing the data to discover patterns, trends, and relationships through visualization and summary statistics.

Modeling: Applying statistical and machine learning techniques to make predictions or classify data.

Evaluation: Assessing the performance of models using metrics like accuracy, precision, and recall.
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