Articles, blogs, whitepapers, webinars, and other resources to Learn In-demand Data Science Skills

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  1. The Path to Web Data: Build or Buy?

    The Path to Web Data: Build or Buy?

    Categories: Data Science
    Data is the beating heart of this engine that we all know as digital space. Everything out there on the internet, every photo that is ever taken, every article that is ever written, and every video ever played comprises data and data only. Many businesses and organizations are coming to realize the value of the data and how valuable it is to their business. Often, the available data on the web out there is more advantageous than the data you have in-house. There are talks of even harnessing the power of the data that is present on the web and then using it for your own specified business purposes.
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  2. Why Does Data Accuracy Matter?

    Why Does Data Accuracy Matter?

    Categories: Data Science
    Defining the accuracy of data begins by knowing what the words "data" and "accuracy" indicate. Data is a set of facts (words, numbers, observations, measurements, etc.) that have been transformed into a type that can be processed by computers." This concept is most applicable to details of past events held on digital media that can be retrieved by computers and used for commercial benefit by business users.
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  3. Alternative Data Fatigue: How It Happens and How to Solve It

    Alternative Data Fatigue: How It Happens and How to Solve It

    Categories: Data Science
    In about every corner of the modern enterprise you care to peek at, technology has, overall, been a major boost to competitiveness and efficacy. The rapid growth in data production, and how companies can take advantage of it, has been one of the most important developments. Some reports say that in the last five years, 90% of all the data ever produced in human history has been developed. At least in principle, this explosion has ensured that corporate owners will make more valuable decisions, and do their work best in the easiest possible words. These firms end up spending money and time on the information that is not specific and commonly used in their business, defeating the goal of obtaining useful strategic insights.
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  4. How to Improve Customer Loyalty and Retention with Machine Learning?

    How to Improve Customer Loyalty and Retention with Machine Learning?

    Categories: Business Productivity
    With Big Data delivering organizations with an overwhelming volume of consumer knowledge, strong forces in the industry are motivated by the need to exploit it for business benefit. This is where it comes into play with Machine Learning. Insights-driven organizations will witness 27 percent annual sales growth from 2015 to 2020, hitting $1.2 trillion in overall revenue, according to recent Research, and Machine Learning innovations are projected to become a $100 billion industry by 2025.
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  5. TOP 15 DATA SCIENCE BOOTCAMPS WITH HIGHEST PAY JOB GUARANTEE

    Top 15 Data Science Bootcamps Offered by Top Universities in the US

    Categories: Data Science
    Data scientists, who process and interpret vast volumes of data to find useful insights, have become an increasingly important part of business teams in recent years. This clarifies that the U.S. A 15% rise in demand for qualified data scientists over the next decade is expected by the Bureau of Labor Statistics. Completing a Bootcamp for data science will help people break into this high-demand sector and improve their income in the process.
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  6. How to Ensure Data Consistency and Quality with Web Data Integration

    How to Ensure Data Consistency and Quality with Web Data Integration

    Categories: Data Science
    Your business wants your data to perform better. Quality data contributes to key perspectives for companies and has a huge effect on their decision-making. But where are you going to find reliable data? Although most of the data business uses will obtain from internal sources such as the software of ERP and CRM, even more, will come from beyond the network. In reality, the web is the biggest data archive out there.
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  7. What is Data Cleansing and Transformation/Wrangling?

    What is Data Cleansing and Transformation/Wrangling?

    Categories: Data Science
    A huge opportunity for organizations to boost their revenues, competitive position, market share, and customer relationships is the unprecedented amount, type, and immediacy of data available today. However, skimping on data cleansing or performance runs the risk of poor data, incorrect decisions, and lack of credibility. Thus in this sense, the importance of conventional web scraping is marginalized. There are some certifications available in the market that are very useful to understand Data Cleansing and Transformation/Wrangling like “Hadoop certification”.
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  8. Top 15 Data Analytics Bootcamps with Highest Pay Job Guarantee

    Top 15 Data Analytics Bootcamps with Highest Pay Job Guarantee

    Categories: Data analysis and visualization
    The hottest topic in today's world of Information Technology is the one and only Data Analytics. Data Analytics is the extraction of valuable information by discovering the hidden patterns buried deep in the structured or unstructured data. This is done by using various methods, algorithms, tools, formulae, and techniques which can only be understood by an expert and a professional. Therefore, all the well-known companies are hunting down Data Analytics Professionals who can change the face of their organizations.
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