Data science is a hot topic now. The more data we collect, the more it becomes important to be able to analyze these datasets and extract insights from them.
You can understand the concept of data science with the help of data science block diagram given above.
Data Science as a field is as old as the computer age. It has been used in different fields such as medical research, business, and engineering for decades. Nowadays with advances in both computational power and available data sources it is gaining more attention.
Moreover, Data Science has gradually evolved from a small field of specialists into a discipline that can potentially affect every area of human endeavor.
Importance of Data Science
Data Science is a branch of computer science that focuses on the use of statistical techniques to extract knowledge from data. Data science is very important because it can be used to identify patterns in data and predict trends.
There are three main types of skills that data scientists need: programming skills, statistical analysis skills, and domain expertise. Programming skills are essential for processing and manipulating the data. Statistical analysis abilities help to identify patterns in the data or deviations from those patterns. Domain expertise enables them to know how to use the insights found in the data and how they apply to your specific work domain.
Data science is the process of using different algorithms for data analytics to extract insights. This field is becoming increasingly important in the modern world due to the rise of artificial intelligence.
The rise of artificial intelligence has led to a significant change in the way that traditional businesses generate value. With AI, businesses are able to make decisions faster and with more accuracy. Additionally, AI has made it easier for companies to identify patterns in their data which can lead to new insights and can also help companies make better predictions about future trends.
If you want to start learning Data Science from Scratch You can start in following pattern:
- Learn any programming language like Python or R
- Learn Relational Database Management using MySQL or PostgreSQL
- Learn Data Processing and Cleaning using Python Pandas
- Learn Data Visualization using Python, R , Tableau or Power BI
- Learn Machine Learning Using Sklearn Library and Tensorflow Library
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