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Data Science
Course
Techedo Technologies
Software Comapny
CONTENT
1. What is Data Science?
2. Stages of Data Science
3. Data Ingestion
4. Data storage and data processing
5. Data analysis
6. Communicate
7. Modules of Data Science
8. Advantages of Data Science
9. Disadvantages of Data Science
What is Data Science?
Data Science combines
mathematics and statistics
specialized programming, advanced analytics,
artificial intelligence (AI), and machine learning.
The above mentioned are the stages of Data
Science.
Data ingestion
Communicate
Data storage and
data processing
01
02
03
04
Data analysis
Stages of Data Science
The lifecycle begins with data
collection - both raw structured and
unstructured data from all relevant
sources using various methods.
Data Ingestion
Data storage and data
processing
As we know data can have different
formats as well as structures.
The companies need to consider different
storage systems based on the type of data
that needs to be captured.
Data scientists conduct an exploratory data analysis to
examine biases, patterns, ranges, and distributions of
values within the data.
Data Analysis
Communicate
It make the insights easier for business
analysts and other decision-makers to
understand.
Insights are presented as reports
and other data visualization.
R is a programming open source
language, this language is widely
used by statisticians, data miners
and developers to develop
software for data analytics.
XML is an essential module for data
science, it stands for extensible
markup language, it is a markup
language just like HTML .
XML
Sql is used in programming and
managing the data for stream
processing in RDBMS, SQL stands
for statured query language.
SQL
R-Language
Modules of
Data Science
Tools
Advantages of
Data Science
1. It is highly in demand these days.
2. High pay job opportunities.
3. Data Science is quite versatile.
4. Data Science makes Data better.
5. Data Scientists are highly respected.
There are many advantages of Data Science.
Disadvantages of Data Science
1. Problem of Data Privacy.
2. It is quite impossible to master Data
Science.
3. High Domain knowledge is required.
4. Unpredictable Data may give unexpected results.
Conclusion
Data Science is the field that
has a great future.
SCO 134 FIRST FLOOR, SECTOR 34-A CHANDIGARH
Call Us
7837505001, 7717255001,
8198055001, 0172-5275001, 0172-5265001
Thanks for
Watching
@techedotechnologies

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Data Science Course.pdf

  • 2. CONTENT 1. What is Data Science? 2. Stages of Data Science 3. Data Ingestion 4. Data storage and data processing 5. Data analysis 6. Communicate 7. Modules of Data Science 8. Advantages of Data Science 9. Disadvantages of Data Science
  • 3. What is Data Science? Data Science combines mathematics and statistics specialized programming, advanced analytics, artificial intelligence (AI), and machine learning.
  • 4. The above mentioned are the stages of Data Science. Data ingestion Communicate Data storage and data processing 01 02 03 04 Data analysis Stages of Data Science
  • 5. The lifecycle begins with data collection - both raw structured and unstructured data from all relevant sources using various methods. Data Ingestion
  • 6. Data storage and data processing As we know data can have different formats as well as structures. The companies need to consider different storage systems based on the type of data that needs to be captured.
  • 7. Data scientists conduct an exploratory data analysis to examine biases, patterns, ranges, and distributions of values within the data. Data Analysis
  • 8. Communicate It make the insights easier for business analysts and other decision-makers to understand. Insights are presented as reports and other data visualization.
  • 9. R is a programming open source language, this language is widely used by statisticians, data miners and developers to develop software for data analytics. XML is an essential module for data science, it stands for extensible markup language, it is a markup language just like HTML . XML Sql is used in programming and managing the data for stream processing in RDBMS, SQL stands for statured query language. SQL R-Language Modules of Data Science Tools
  • 10. Advantages of Data Science 1. It is highly in demand these days. 2. High pay job opportunities. 3. Data Science is quite versatile. 4. Data Science makes Data better. 5. Data Scientists are highly respected. There are many advantages of Data Science.
  • 11. Disadvantages of Data Science 1. Problem of Data Privacy. 2. It is quite impossible to master Data Science. 3. High Domain knowledge is required. 4. Unpredictable Data may give unexpected results.
  • 12. Conclusion Data Science is the field that has a great future.
  • 13. SCO 134 FIRST FLOOR, SECTOR 34-A CHANDIGARH Call Us 7837505001, 7717255001, 8198055001, 0172-5275001, 0172-5265001 Thanks for Watching @techedotechnologies