INFORMATION HUB

  Google Analytics offers an easy and free way to track and analyze visitors on your website. You could have thousands or even millions of visitors every month, but those visitors are practically meaningless if you don’t know anything about them. With its robust web analytics and reporting tools, Google Analytics can help you make the most out of visitors and potentially turn them into customers. In addition to tracking the number of visitors, Google Analytics provides key insights into how your website is performing and what you can do to meet your goals. You can track everything from how much traffic your website is getting to where that traffic is coming from and how visitors are behaving. You can even monitor social media activities, track mobile app traffic, identify trends and integrate other data sources to help you make well-informed business decisions. Google Analytics Basics If you want to skip the details and just get started, here’s a rundown of how to set up Google Ana...

  Data analytics involves analyzing datasets to uncover trends and insights that are subsequently used to make informed organizational decisions. Business analytics is focused on analyzing various types of information to make practical, data-driven business decisions, and implementing changes based on those decisions. Business analytics often uses insights drawn from data analysis to identify problems and find solutions >What is a data analyst? A data analyst’s fundamental job is to  tell compelling stories with data  that empower organizational leaders to make better, more informed decisions. The   responsibilities of a data analyst  often include:  Designing and maintaining data systems and databases, including troubleshooting potential issues  Mining and cleaning data in preparation for analysis  Preparing reports which effectively communicate their findings to organizational leadership and key stakeholders  To be effective in their rol...

  Data analytics (DA) is the process of examining data sets in order to find trends and draw conclusions about the information they contain. Increasingly, data analytics is done with the aid of specialized systems and software.   Data analytics technologies   and techniques are widely used in commercial industries to enable organizations to make more-informed business decisions. Scientists and researchers also use analytics tools to verify or disprove scientific models, theories and hypotheses. As a term, data analytics predominantly refers to an assortment of applications, from basic business intelligence (BI), reporting and online analytical processing (OLAP) to various forms of advanced analytics. In that sense, it's similar in nature to business analytics, another umbrella term for approaches to analyzing data. The difference is that the latter is oriented to business uses, while data analytics has a broader focus. The expansive view of the term i...

  K-Means Clustering is an unsupervised learning algorithm that is used to solve the clustering problems in machine learning or data science. In this topic, we will learn what is K-means clustering algorithm, how the algorithm works, along with the Python implementation of k-means clustering. What is K-Means Algorithm? K-Means Clustering is an  Unsupervised Learning algorithm , which groups the unlabeled dataset into different clusters. Here K defines the number of pre-defined clusters that need to be created in the process, as if K=2, there will be two clusters, and for K=3, there will be three clusters, and so on. It allows us to cluster the data into different groups and a convenient way to discover the categories of groups in the unlabeled dataset on its own without the need for any training. It is a centroid-based algorithm, where each cluster is associated with a centroid. The main aim of this algorithm is to minimize the sum of distances between the data point and the...

 Natural language processing(NLP) Natural language processing strives to build machines that understand and respond to text or voice data and respond with text or speech of their own in much the same way humans do . Natural language processing (NLP) refers to the branch of computer science—and more specifically, the branch of artificial intelligence or AI—concerned with giving computers the ability to understand text and spoken words in much the same way human beings can. NLP combines computational linguistics rule-based modeling of human language with statistical, machine learning, and deep learning models. Together, these technologies enable computers to process human language in the form of text or voice data and to ‘understand’ its full meaning, complete with the speaker or writer’s intent and sentiment. NLP drives computer programs that translate text from one language to another, respond to spoken commands, and summarize large volumes of text rapidly even in real time. T...

  The word ‘Data’ has been in existence for ages now.  In the era of 2.5 Quintillion bytes of data being generated every day, data plays a crucial role in decision making for business operations. But how do you think we can deal with so much data? Well, there are several roles in the industry today that deal with data to gather insights, and one such vital role is of a Data Analyst.  A Data Analyst requires many tools to gather insights from data. This article on the T op 10 Data Analytics Tools will talk about the top tools that every budding Data Analyst to a skilled professional must learn in 2021. In this article, we will cover the following Data Analytics Tools: R and Python   Microsoft Excel Tableau RapidMiner KNIME Power BI Apache Spark QlikView Talend Splunk When trying to find the perfect tool for your data analytics needs, it’s important that you first understand all of the different methods and types of data analysis that these tools might offer....