R programming language is free software for graphics and statistical computing language disused by data miners and statisticians for the development of statistical software. It includes a huge variety of graphical and statistical techniques, time series analysis, clustering, linear and non-linear modeling and classification. It is used for solving out any problem in data science
SAS (Statistical Analysis System) is software developed by SAS Institute for, business intelligence, data management, advanced and predictive analytics. Professionals can reap unlimited benefits for efficient dealing with big data analysis. Many companies use this tool for getting an insight into their work frame and analyses the factors which can leads to profit and loss
Python is a general purpose high programming language which is used for developing GUI operations, web applications and websites. It efficiently manages the functioning at the core. Because of its readability and other structural elements it is easy to grasp. As an interpreted language, it becomes easy to switch the codes between other platforms. Python
Machine learning is an application of artificial intelligence that provides the system to automatically learn and improve from experience without being explicitly programmed. It is basically scientific study of algorithms and stastical modules for enhancing their performance on a task. Data mining is the part of machine learning course which focuses on exploratory data analysis.
Business Analytics is an implementation of business skills, technology and practices to gain insight into the future business planning. It is useful for fraud detection, analyzing customer relationship management and Human resource management. Successful business analytics depends on the quality of data, skilled analysts who understand the technologies and the business, and an organizational commitment
Data analytics help companies gain insight into their business dealings and into the things which are affecting the profit or loss of a business firm. This helps them develop more efficient strategy so as reap more profit the next year. Enrolling into a relevant data analytics certification training will gain you the insight into the
Data Analytics refers to analyzing the extracted data by categorizing and identifying the behavior of data with the use of qualitative and quantitative techniques in accordance with the requirement of the business firm. Data is collected, analyzed and stored for gaining an insight into purchasing patterns and study the trends. Data analysis can involve descriptive
Data science is the analysis of data collected from various sources used for the purpose of decision making in the corporate world. It is the method of analyzing the business statistics and computation. It is a perfect combination of programming, analytical and business skills for extracting meaningful insights from the raw data. As a data
Multicollinearity: Multicollinearity is a problem when there is very high correlation between predictors. It increases the noise in the datawhich result to inaccurate results. Reasons: 1. It might happened because of wrong dummy variables. 2. It might possible that one predictors get calculated with other variables and we included both the variables in the
What is machine learning or Data Science? This is the first question that emerges in our mind. Where and how can we use these new edge technologies probably would be the next hurdle for new entrants in this field. We would like to talk about simple analytics in the early days. Hiring good analyst or
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