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Python Data Science Online Training Course Content
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On average it takes about 6-8 weeks to learn the basics. This gets you enough time to understand most lines of code in Python. If you want to become an expert in Python and its field and plan on getting into data science then months and years of learning is needed.
When data science is being mentioned, one programming language comes to everyone's mind which is Python. Python's immanent readability and lucidity has made it relatively easy to use, and the number of dedicated analytical libraries on it can be utilized easily when creating models in dealing with Data Science
Python is not a dying programming language, it's one of the fastest growing programming language. Python programs tend to have minimal templating that you might have seen in other languages. And have more natural constructs for typical tasks you might need to accomplish.
the winner of the Python 2 vs Python 3 battle is clearly Python 3. So if you can choose which one to learn, choose that! With that being said, come and continue learning Python for Data Science
Spyder has useful features for general Python development, but unless you work mainly with IPython and scientific computing packages, you're probably better off with a different IDE. The biggest reason not to use Spyder as a general-purpose Python development environment isn't the feature set, but the setup process.
Data scientists typically work on data for an entire company, which means scouring through thousands of transactions all at once. “Data science is more exciting and adventurous than stressful,” he says. “It is only stressful when you are working to pay bills, and not to solve real-world problems,” he adds.
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