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1. Essential skills to become a Data Scientist by 2025
Data Science is a recent but fast emerging field that involves the processing of big data by
professionals such as data scientists, data analysts, computer engineers, and statisticians.
It is all about extracting and analyzing data that are collected from various sources and
transforming them into useful insights to help organizations in smart decision-making.
The most important task in the data science process is to develop predictive models used
for analyzing big data.
There are various technologies involved in the data science process such as SQL, Python,
Hadoop, R, SAS, and Tableau. All these technologies are coming under multiple
categories like analysis, visualization, distributed architecture, and statistics. Companies
are employing innumerable certified professionals to handle data analytics to achieve the
business goals through many software applications. Following are the popular terms used
in the data science process.
Data Mining: It involves exploring and understanding new data that are collected from
various sources.
Artificial Intelligence: AI is used to create a machine that acts smart and behaves like a
human.
Machine Learning: ML is the concept and the subset of AI that intends to generate
algorithms by the understanding of historical data to improve the machine with
experience.
Deep Learning: It is the subset of ML that involves the data transformation through
multiple numbers of non-linear factors for calculating the output.
Challenges to practice data science
The adoption of data analytics comes with challenges such as dirty data, lack of data
science talent, company politics, lack of clear questions, data inaccessible, unused results,
explaining issues, privacy problems, lack of domain expertise, and unaffordable data
science team. The learning of data science process helps to overcome the following
challenges for the professionals.
Problem-identification
Accessing right data
Data cleansing
Data quality
Data quantity
Multiple data source
Data security
Result communication
Important Data Scientist Skills
Data Scientist is the expert who analyzes complex problems to derive modern solutions
with necessary skills and trending technologies like AI, 5G, IoT, Robotics, Block-chain,
and ML. They can able to operate data for translating them to profitable insights and
products that help business growth. Following are the essential skills to become a data
scientist in 2025.