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Build Data Science & Machine Learning Projects From Scratch

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Data science is the field of applying advanced analytics techniques and scientific principles to extract valuable information from data for business decision-making, strategic planning and other uses. It's increasingly critical to businesses: The insights that data science generates help organizations increase operational efficiency, identify new business opportunities and improve marketing and sales programs, among other benefits. Ultimately, they can lead to competitive advantages over business rivals. Data science incorporates various disciplines -- for example, data engineering, data preparation, data mining, predictive analytics, machine learning and data visualization, as well as statistics, mathematics and software programming. It's primarily done by skilled data scientists, although lower-level data analysts may also be involved.


Build Real World Data Science And Machine Learning Projects

#artificialintelligence

Data science is the field of applying advanced analytics techniques and scientific principles to extract valuable information from data for business decision-making, strategic planning and other uses. It's increasingly critical to businesses: The insights that data science generates help organizations increase operational efficiency, identify new business opportunities and improve marketing and sales programs, among other benefits. Ultimately, they can lead to competitive advantages over business rivals. Data science incorporates various disciplines -- for example, data engineering, data preparation, data mining, predictive analytics, machine learning and data visualization, as well as statistics, mathematics and software programming. It's primarily done by skilled data scientists, although lower-level data analysts may also be involved.


How Data Science is Reshaping the Future?

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There is no doubt that data science is shaping the future. As businesses become more digitized, the role of data science is becoming more and more important. If you want to stay ahead of the curve, it's important to learn this technology and get into one of the most promising job roles of Data Science. Data science is the process of extracting insights from data. It blends mathematics, statistics, and computer science to analyze large amounts of data and to improve decision making. The aim of data science is to enable organizations to make better decisions about where to allocate their resources, how to optimize their business processes, and how to serve their customers better.


How Can You Build a Career in Data Science & Machine Learning?

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Machine Learning is the crux of Artificial Intelligence. With increasing developments in AI, IoT and other smart technologies, machine learning jobs are gaining higher exposure and demand in the technology market. If you are currently an IT professional, you might be interested in a career switch because of the exciting opportunities the industry offers to its aspirants. Or, you might have an interest that you have wanted to pursue long. However, not knowing exactly how to start a career in machine learning can lead an aspirant in the wrong way. There should be a proper agenda on how to identify the right opportunity and approach it in a systematic way. In this article, let us see some of the essential steps that one can take towards their machine learning journey.


Four Data Science Imperatives for Customer Success Management

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Business growth depends on ensuring customers recommend, stay and expand their relationship with you. Businesses are implementing customer success management (CSM) programs to help improve their relationship with customers to improve their chances of success. In our Big Data world, Customer Success Management (CSM) programs are now able to leverage large amounts of customer data to help them better understand their customers' needs to decrease customer churn and increase up/cross-selling opportunities. In today's post, I will discuss the intersection of Big Data and CSM and illustrate how the adoption of data science practices can improve how CS personnel can improve the health of the customer relationship. We live in a world of Big Data where everything is quantified, where technological advances makes it easy to collect vast amounts of data.