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Data Science

  1. HOW TO BECOME A BUSINESS ANALYST

    HOW TO BECOME A BUSINESS ANALYST

    A business analyst is responsible for identifying a business’s needs and challenges and provide technological solutions to improve the involved processes and systems.

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  2. How to become a Big Data Engineer

    How to become a Big Data Engineer

    Big Data is referred to as a huge data set with massive volume.

    Big Data includes both data type, structured and non-structured. The main issue with Big Data is that huge data is difficult to process using software techniques and traditional databases. It comes from several different sources such as text, audio, images, and videos. Data is always available online, and it is gathered and created by digital technologies such as apps on phone, social media interaction or e-shopping, etc. All these data are mixed with other sources of data and tend to become Big Data.

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  3. How Lucrative is a Career in Data Science?

    How Lucrative is a Career in Data Science?

    As the use of technology is growing its impact all over the world, the industries are evaluating ways to become more tech-savvy and dynamic to celebrate the modern trends and understand more about the science behind different data systems. 

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  4. Data Science Job Roles and Responsibilities

    Data Science Job Roles and Responsibilities

    Data scientists are responsible for identifying patterns and exploring the deepness of immense quantities of raw data that can either be structured or unstructured, to help fulfill certain organizational needs and goals. The data scientist role is becoming crucial in sustaining modern-day businesses' needs. Today's businesses depend on data analytics for effective decision-making using key aspects of neural networks and deep learning.

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  5. Data Science Job Roles and Responsibilities

    Data scientists are responsible for identifying patterns and exploring the deepness of immense quantities of raw data that can either be structured or unstructured, to help fulfill certain organizational needs and goals. The data scientist role is becoming crucial in sustaining modern-day businesses' needs. Today's businesses depend on data analytics for effective decision-making using key aspects of neural networks and deep learning.

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  6. Lowest Unemployment Rate in Data Science Jobs

    Lowest Unemployment Rate in Data Science Jobs

    With the world becoming increasingly reliant on big data, analytics and number crunching, the field that has emerged is data science. Over the past few years, companies which sell any kind of products or services to consumers have seen a shift towards using data to make appropriate decisions and predict future trends. With the use of sophisticated technologies like machine learning and artificial intelligence, these businesses have discovered new ways to satisfy customers. In this process, a considerable number of positions for data scientists have been created.

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  7. How Data Science is Transforming Web Development

    How Data Science is Transforming Web Development

    As consumer markets evolve, traditional marketing practices are going out of practice. The newer generations of customers are harder to understand and target. As a result, a new avenue was needed. Thus, the emergence of data science. Now businesses can use information from several different parameters, factor it into their decision making and come up with effective strategies.

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  8. Top influencers to follow in data science

    Data science is the study and analyzation of data. Data is in a very raw and unaligned format, and one has to extract it, store it and analyze it to gain useful information. Data science fieldwork's main goals rotate around obtaining essential knowledge from both structured and non-structured data.

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