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DIFFERENCE BETWEEN DATA SCIENCE AND DATA ANALYTICS.

How is Data Science different from Data Analytics?

Data science combines multiple fields, including statistics, scientific methods, artificial intelligence (AI), and data analysis, to extract value from data. Those who practice data science are called data scientists, and they combine a range of skills to analyze data collected from the web, smartphones, customers, sensors, and other sources to derive actionable insights.

Data science encomes preparing data for analysis, including cleansing, aggregating, and manipulating the data to perform advanced data analysis. Analytic applications and data scientists can then review the results to uncover patterns and enable business leaders to draw informed insights.


Data analytics is a multidisciplinary field. There is an extensive use of computer skills, mathematics, statistics, the use of descriptive techniques and predictive models to gain valuable knowledge from data through analytics.

Difference Between Data Science And Data Analytics
While data analysts and data scientists both work with data, the main difference lies in what they do with it.
Data analysts examine large data sets to identify trends, develop charts, and create visual presentations to help businesses make more strategic decisions.

Working as a Data Analyst and Data Scientist.
The responsibility of data analysts can vary across industries and companies, but fundamentally, data analysts utilize data to draw meaningful insights and solve problems. They analyze well-defined sets of data using an arsenal of different tools to answer tangible business needs: e.g. why sales dropped in a certain quarter, why a marketing campaign fared better in certain regions, how internal attrition affects revenue, etc.
Data analysts have a range of fields and titles, including (but not limited to) database analyst,business analyst, market research analyst, sales analyst, financial analyst, marketing analyst, advertising analyst, customer success analyst, operations analyst, pricing analyst, and international strategy analyst. The best data analysts have both technical expertise and the ability to communicate quantitative findings to non-technical colleagues or clients.

Data scientists, on the other hand, design and construct new processes for data modeling and production using prototypes, algorithms, predictive models, and custom analysis.

Working as a Data Scientist
Data scientists, on the other hand, estimate the unknown by asking questions, writing algorithms, and building statistical models.
The main difference between a data analyst and a data scientist is heavy coding. Data scientists can arrange undefined sets of data using multiple tools at the same time, and build their own automation systems and frameworks.

https://torbitacomputerschool.com.ng/difference-between-data-analytics-and-data-science/

Be part of our DATA ANALYTICS and DATA SCIENCE training Class.

Enroll now for Data Analytics Training and Data Science Training and be certified at Torbita Computer Training School, Area 3, Garki, Abuja.

torbitalimited:
DIFFERENCE BETWEEN DATA SCIENCE AND DATA ANALYTICS.

How is Data Science different from Data Analytics?

Data science combines multiple fields, including statistics, scientific methods, artificial intelligence (AI), and data analysis, to extract value from data. Those who practice data science are called data scientists, and they combine a range of skills to analyze data collected from the web, smartphones, customers, sensors, and other sources to derive actionable insights.

Data science encomes preparing data for analysis, including cleansing, aggregating, and manipulating the data to perform advanced data analysis. Analytic applications and data scientists can then review the results to uncover patterns and enable business leaders to draw informed insights.


Data analytics is a multidisciplinary field. There is an extensive use of computer skills, mathematics, statistics, the use of descriptive techniques and predictive models to gain valuable knowledge from data through analytics.

Difference Between Data Science And Data Analytics
While data analysts and data scientists both work with data, the main difference lies in what they do with it.
Data analysts examine large data sets to identify trends, develop charts, and create visual presentations to help businesses make more strategic decisions.

Working as a Data Analyst and Data Scientist.
The responsibility of data analysts can vary across industries and companies, but fundamentally, data analysts utilize data to draw meaningful insights and solve problems. They analyze well-defined sets of data using an arsenal of different tools to answer tangible business needs: e.g. why sales dropped in a certain quarter, why a marketing campaign fared better in certain regions, how internal attrition affects revenue, etc.
Data analysts have a range of fields and titles, including (but not limited to) database analyst,business analyst, market research analyst, sales analyst, financial analyst, marketing analyst, advertising analyst, customer success analyst, operations analyst, pricing analyst, and international strategy analyst. The best data analysts have both technical expertise and the ability to communicate quantitative findings to non-technical colleagues or clients.

Data scientists, on the other hand, design and construct new processes for data modeling and production using prototypes, algorithms, predictive models, and custom analysis.

Working as a Data Scientist
Data scientists, on the other hand, estimate the unknown by asking questions, writing algorithms, and building statistical models.
The main difference between a data analyst and a data scientist is heavy coding. Data scientists can arrange undefined sets of data using multiple tools at the same time, and build their own automation systems and frameworks.

https://torbitacomputerschool.com.ng/difference-between-data-analytics-and-data-science/

Be part of our DATA ANALYTICS and DATA SCIENCE training Class.

Enroll now for Data Analytics Training and Data Science Training and be certified at Torbita Computer Training School, Area 3, Garki, Abuja.

Please, can we chat in private?
I have plenty of questions to ask ?

genitori:


Please, can we chat in private?
I have plenty of questions to ask ?

You can us through our Company Phone number on the Flyer above.

Or if you live in Abuja, you can visit our Office for any enquiry.

Thank you.

Become a Data Analyst and/or Data Scientist.

Registration for July Class has started.

for Data Analytics and Data Science Class.

today.

You have not made mention of Big Data

Yungbliss:
You have not made mention of Big Data

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today.

now.

our training class today.

Registration for the July Class ends next Week.

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