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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.
Stages of Data Science 01 03 Data analysis Data ingestion Data storage and data processing 02 04 Communicate The above mentioned are the stages of Data Science.
Data Ingestion The lifecycle begins with data collection - both raw structured and unstructured data from all relevant sources using various methods.
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 Analysis Data scientists conduct an exploratory data analysis to examine biases, patterns, ranges, and distributions of values within the data.
Communicate Insights are presented as reports and other data visualization. It make the insights easier for business analysts and other decision-makers to understand.
Modules of Data Science Tools XML SQL Sql is used in programming and managing the data for stream processing in RDBMS, SQL stands for statured query language. XML is an essential module for data science, it stands for extensible markup language, it is a markup language just like HTML . R-Language R is a programming open source language, this language is widely used by statisticians, data miners and developers to develop software for data analytics.
Advantages of Data Science There are many 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.
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.
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