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Data Science

  1. Top 10 Data Science Influencers

    Top 10 Data Science Influencers

    We live in an era where modern technologies are the buzzwords everyone talks about. Technologies like data science, artificial intelligence, and machine learning are being discussed even if people are not fully aware of them. Well, that is a positive sign to go with, right? People from non-technical backgrounds seem to misunderstand these technologies the most. If we put them in simple words when we try to simulate human brain functions by a robot or machine, is called artificial intelligence. The ability to learn as the name implies, but from the environment itself and without any kind of programming. And now, the hottest topic of today's world data science. We all are well aware of data, but do we know what and what we can do using data? Well no worries, as data science is here to save the day. Data science is the techniques and practices that help us find the real value of data, the sense that matters for us.  Statistics, mathematics, and data analytics all the methods are applied in this process.
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  2. Data Analysis And Data Science With Python And Pandas

    Data Analysis And Data Science With Python And Pandas

    While there are such a significant number of languages out there, Python is an unquestionable requirement to get the hang of programming language for the experts working in the Data Science area. There is an expanded interest for talented Data Scientists in the IT business, and Python has developed as the most favored programming language. With the assistance of this instructional exercise on Python for Data Science, you will comprehend why Python is viewed as the most favored language. Presently, how about we view the essential highlights of Python and its area situations. Many aspiring data scientists start to learn Python by taking programming courses implied for developers.
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  3. Python for Data Science Vs. Python for Web Development

    Python for Data Science Vs. Python for Web Development

    Python is one of the top programming languages for leading big data companies and tech startups. It is a versatile language used for various purposes, including numerical computations, data science, web development, and machine learning.
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  4. Data Scientists Salary Trends

    Data Scientists Salary Trends; 2020 Edition

    Anyone who is interested in pursuing a career in the field of data science, needs to be clear on things first. You might be a fresh graduate having successfully acquired a Data Science certification to supplement your current skills, or you might be one of those adventurous spirits who wants to take on a challenge and switch your career into the ever-evolving field of Data science. Whatever the case, there are good chances for you to fit right in and be on track to becoming more successful than you were before starting out on this career path. The current economy is one that has ever growing opportunities for data scientists, especially in the US.

    Before we get into the data science salary trends, let us talk briefly about what is data science and more importantly what does a data scientist do?

    Data scientist—A remarkable career?

    From Data you derive information, and from information y

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  5. How To Become A Data Analyst

    How To Become A Data Analyst

    So you're thinking to turn into a data analyst? Kudos to you! You've picked a fulfilling, geographically versatile, and super-secure career in a field that is simply going to continue sprouting in the years to come. Clearly, you should do the immediate front work of learning and sharpening the imperative skills before you can reap the rewards. Follow this broad manual on how to become an ultra-hirable data analyst.
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  6. Why Data Science Teams Need Generalists, Not Specialists

    Why Data Science Teams Need Generalists, Not Specialists

    Must have heard about big data, right? The time when big data entered our life, we got to know about the importance of data. We had an unlimited amount of data even before big data, but it was the way it was, and we had no idea what to do with it. We did not even have storage space for this enormous volume of data. When big data entered the market, everyone was worried about how to store the data, and every company started working on designing solutions for data storage. After some time and endless efforts, we were able to build Hadoop and other frameworks for storage.
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  7. What is Predictive Analysis; Steps to do this

    What is Predictive Analysis; Steps to do this

    In the world of the stock market, racing pitches, and almost anything that is tied to an enormous amount of money, all benefit from predictive analysis. Wouldn’t you? If it could help you make more money, make predictions that will help you to build a strong career or all other positive aspects to grow yourself? Predictive analysis is the right way to make a business-oriented decision involving money by interpreting tons and tons of data to make sure that the final results are calculated and analyzed and not based on a hunch. But in order to move forward you need to know what predictive analysis is;
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  8. What is Diagnostic Analysis; Steps to do this?

    What is Diagnostic Analysis; Steps to do this?

    When it comes to modern technology, there are threats lurking around everywhere, and despite all the security checks and special infrastructure in place, you can never be too sure about the threats and vulnerabilities that exist. And then comes the breach or a cyber incident which literally grasps the working edge of your business from the throat and start compressing.
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