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Which technologies need to be mastered in order to begin a data science career?

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The first technology you must be familiar with is statistics. This will allow you to make sense of the data you are analyzing and provide a framework for making decisions based on the information.

The next technology that needs to be understood is machine learning, which involves using algorithms to find patterns in data and predict unknown outcomes. Machine learning is used for everything from image recognition to speech recognition. The next step in your data science career will be to understand how to use R (a programming language), Python, or other programming languages and tools for developing your own solutions. This can be done with either an interactive shell (Python) or a non-interactive one (R). Some basic tools are also required like Tableau and Excel for the visualization of the data. 

If you are really interested in data science and want to learn about all the fundamentals and concepts, it is recommended to go for Intellipaat’s Data Science course.

You can read Shreyas' success story, an Intellipaat student who studied the Data science course.

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