Techedo Technologies provides the best Data Science Course in Chandigarh.
Both offline/online classes are available here.
Data science is a term used to explain a whole branch of Scouring | extraction | Retrieving | Processing | Taking output of data using different tolls, programming, platforms etc. Data science is all about taking out, use and process data or any one among mentioned tasks irrespective to the software or platform you are using. You may use MS-excel, SQL, R-Language, Python or any other medium for it. Anything you will to work on data comes under data science. Data science is one of the most processing career today.
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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.