In this blog, you will understand why we need Python coding for data science. To become a data scientist, you must learn Python first. There are several libraries in Python that we use for modelling, statistics, and data analysis. If you’re already a Python coding learner, you might have learnt about Python libraries that include Pandas, NumPy, Matplotlib, and SkLearn. These are the libraries that we use for data science.
Why choose Data Science with Python?
If you’re a techie, then you might know that there are millions of data that is getting stored every day in computers. But the data could be stored as raw data, making no sense. In order to make the data meaningful, we can use python coding. The data is used by scientists to use this data for our modern world.
There’s an interesting part about being a Data Scientist that this is a growing field, and you’ll be using different methods and algorithms to interact with the data to make it meaningful. You can use a range of programming languages, R and Python, to analyse and parse the data.Â
A Data Scientist uses raw data and implements different ML models on it to get the most out of it. Training the data with Machine learning models and artificial intelligence is what data scientists do. Doesn’t it seem interesting and amazing that you’ll be able to deal with millions of data to make it useful.
Is Machine learning important to learn to be a Data Scientist?
If you’re looking for the answer to this question, then YES, it’s important to know Machine Learning algorithms. But before Machine Learning, it’s essential to learn python first. It’s important to know the basics of Python Coding to start your career with Data Science. Once you complete your Python training, you can go ahead with the ML concepts. Now, coming to the most necessary part to start your journey as a data scientist, is knowing about Machine learning. There are different concepts in Machine Learning that include Linear Regression, Logistics Regression, KNN Model, etc.
Why choose codingdidi data science course?
There are numerous factors that could be beneficial for you while learning the data science course. At codingdidi, you’ll be able to learn:
- The hands-on experience of solving and practicing the Python code to solve the data science challenges.
- Implementation of the Python code for statistics, modeling, and storytelling.
- Interacting with the different libraries such as Pandas, NumPy, and SKLearn etc.
- Preparing you as a Machine learning and artificial intelligence engineer to be future-ready with Python.
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