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Data Science Course

"Skillslash u2013 not just another data science institute. <br>We not only provides multiple online data science certification courses but we also provide you an opportunity to learn by working in live projects under Industry experts. To fetch a job in Data Science field your skills matters more than just certification. <br>It doesnu2019t matter whether you are a college student or a professional, we help you grow in this field of data science through our courses on:<br>

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Data Science Course

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  1. SUB-TOPIC 1 What Is Data Science? 2 How Does Data Science Work? 3 Data Science Uses

  2. What Is Data Science? A groundbreaking study in 2013 reported 90% of the entirety of the world’s data has been created within the previous two years. Let that sink in. In just two years, we've collected and processed 9x the amount of information than the previous 92,000 years of humankind combined. And it isn’t slowing down. It’s projected we’ve already created 2.7 zettabytes of data, and by 2020, that number will balloon to an astounding 44 zettabytes.

  3. What Is Data Science? What do we do with all of this data? How do we make it useful to us? What are it's real-world applications? These questions are the domain of data science.

  4. How Does Data Science Work? Data science involves a plethora of disciplines and expertise areas to produce a holistic, thorough and refined look into raw data. Data scientists must be skilled in everything from data engineering, math, statistics, advanced computing and visualizations to be able to effectively sift through muddled masses of information and communicate only the most vital bits that will help drive innovation and efficiency.

  5. How Does Data Science Work? Data scientists also rely heavily on artificial intelligence, especially its subfields of machine learning and deep learning, to create models and make predictions using algorithms and other techniques.

  6. Data Science Uses Data science helps us achieve some major goals that either were not possible or required a great deal more time and energy just a few years ago, such as:

  7. Data Science Uses WHAT CAN DATA SCIENCE BE USED FOR? Anomaly detection (fraud, disease, crime, etc.) Automation and decision-making (background checks, credit worthiness, etc.) Classifications (in an email server, this could mean classifying emails as “important” or “junk”) Forecasting (sales, revenue and customer retention) Pattern detection (weather patterns, financial market patterns, etc.)

  8. Data Science Uses Recognition (facial, voice, text, etc.) Recommendations (based on learned preferences, recommendation engines can refer you to movies, restaurants and books you may like) Additionally, here are a few examples of how businesses are using data science to innovate in their sectors, create new products and make the world around them even more efficient.

  9. Thanks! We are so lucky to have amazing supporters like you. To learn more, consider following! @SKILLSLASH skillslash.com

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