Best Ways Of How To Learn Python For Data Science - PowerPoint PPT Presentation

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Best Ways Of How To Learn Python For Data Science

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Python pretty well with data analysis as well, and therefore, it is touted as one of the most preferred languages for data science. Python is also known as a general-purpose programming language. With the help of Python, the engineers can use fewer lines of code to complete the tasks. – PowerPoint PPT presentation

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Title: Best Ways Of How To Learn Python For Data Science


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  • Session 1

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  • Data Science is becoming one of the most sought
    after career options. The technology has
    redefined the way tools and systems work, but
    what lies beneath it is the language that makes
    the data science enabled software and tools to
    work seamlessly. If you want to become a data
    science expert, then you need to go for data
    science training, and to become an expert
    learning the Python programming language is a
    must. If you have not yet learned Python and want
    to have a quick grasp on this, you must go for a
    Python crash course. After completing the Python
    programming certification, you can easily learn
    Data Science and comprehend its concepts. So, how
    do you go about learning Python? We have divided
    this blog into five steps that will help you
    learn Python.

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Steps To Learn Python
  • 1. Begin with the basics The first step to
    learning Python is to start with the basic
    learning of the fundamentals of Python. To begin
    with, you can begin to learn the Jupyter Notebook
    that comes with Python libraries. It will help
    you learn Python and Data Science. You must also
    join a community. You will find like-minded
    people who will let you know about the latest
    developments in Data Science and troubleshoot any
    issue. In case you are unsure about it, then you
    can also go for a Python Crash Course.

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  • 2. Practice Mini Python Projects- Once you have
    gained insight into Python, the next step is to
    implement your learnings by working on
    mini-projects practically. You can begin building
    calculators for an online game or an application
    that gives you information about the local
    weather report. These might appear a smaller
    project, but regularly working on such projects
    and applications will make you proficient in
    using Python and developing various apps based on
    it. These practice sessions are also going to
    solidify your concepts about Python.

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  • 3. Gain knowledge on Python Data Science
    Libraries- If you are planning to become a data
    science expert, then there are certain Python
    libraries that you need to know
  • NumPy
  • Pandas
  • Matplotib
  • NumPy and Pandas are good for exploring and
    assessing data to draw inferences. At the same
    time, Matplotib is a data visualization library
    that helps create a visual representation of data
    like graphs that we see in the Excel sheet.
    Python has a rich community that will surely help
    you if you need to have an expert view of some
    problems. You can find help on Quora, Dataquest's
    Slack, Stack Overflow. Here you will find enough
    advice from experts who are ready and eager to
    help you.

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  • 4. Start making your Data Science portfolio- Now
    that you know about the Python community, and
    have learned about Python programming language
    basics, you also need to make your portfolio
    simultaneously. You should work on different
    projects that include several datasets, and you
    should give them new information and interesting
    insights so that they want to connect with you
    and follow you. It will also motivate you to work
    more and become proficient in Python.

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  • 5. Learn the application of advanced data science
    techniques- Now comes the most important step is
    to hone your skills. If you are planning to
    become a data science expert, then you must know
    what the new developments are taking place in the
    field of data science training techniques, and
    Python are, so you need to step into a continuous
    learning process. You must know about regression,
    K-means clustering models, classification. If
    you are willing to learn data science, then you
    also need to learn about Machine Learning. All
    these concepts are interlinked. You need to keep
    on learning if you want to become a data science
    expert.

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What's Next?
  • Data Science is an ever-growing field, and you
    are going to find its widespread use. Apart from
    having the best job opportunities, you will also
    get your hands on the great package. As the rate
    of use of data science increases, so is the
    demand for data science experts. Hence, it
    becomes one of the best career options. There are
    several pf platforms offering data science
    certification program and Python certification
    program.

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Conclusion
  • Global Tech Council is offering Python
    certification programs along with the Data
    Science certification course. These are online
    learning programs which will give you a complete
    insight into Data Science and Python.
  • You can also opt for a Python crash course this
    course is perfect for working professionals who
    are willing to upskill themselves. Whether you
    are starting new or you are working
    professionally, you would need to upskill
    yourself so that you learn about new
    technologies, and Data Science is one such
    technology. If you are also planning to opt for
    data science certification or Python, you must
    enroll in Global Tech Council.

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