how to build a data scientist career path

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How To Build A Data Scientist Career Path
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Table Of Content

1. Why Choose a Career as Data Scientist
2. Prerequisites for Becoming a Data Scientist
3. What Are the Types of Career Paths for Data
   Scientists
4. Skills Required for Data Scientists

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Why Choose a Career as Data Scientist
Data science can change how we live and operate
and enable people to take more effective
decisions, find solutions to challenges, create
discoveries, and resolve some of the greatest
issues in the world. Your career in data science
will allow you to participate in this transition.
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Prerequisites for Becoming a Data Scientist
Although the data science field warmly embraces
people with various experiences and backgrounds,
there are a few requirements to meet to become a
data scientist. a desire for reason and a method
of analysis. Computer and programming languages
are used directly math, statics, and linear
algebra are all knowledge, knowledge of company
processes and the mindset of an ongoing learner.
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What Are the Types of Career Paths for Data
Scientists
A wide range of professional pathways and
possibilities are available within the
discipline of data science. Statistician, Data
Modeller, Big Data Developer, Machine Learning
Scientist, Business Intelligence Developer, Data
Scientist, Data Manager, Data Engineer, Business
Analyst, Data Architect, Machine Learning
Engineer, and Data Analyst.
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Skills Required for Data Scientists
We already understand that anyone wants to be
the best in machine learning and data science
thanks to companies like Google, Apple,
Instagram, Spotify, which is Swiggy, and Ola.
Data Science is undoubtedly one of the
industries with the fastest growth rate. Data
deception, research, computer programming,
visualization of data, deep learning abilities,
big data, and many more.
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THANK YOU!
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