Contains Duplicate – Leetcode Problem Solution
NumPy – Mathematical Computing with Python
NumPy is considered to be the fundamental package for scientific computing in python. It is a Python library that provides a multidimensional array object, various derived objects (such as masked arrays and matrices), and an assortment of routines for fast operations...
Hypothesis Testing
Hypothesis testing is an inferential statistical technique that determines if a certain condition is true for the population. Hypothesis test studies two opposing hypotheses about a population. Alternative hypothesis (H1) A statement that has to be concluded as...
Introduction to Statistics for Data Analytics
Statistics is the study of the collection, analysis, interpretation, presentation, and organization of data. It’s widely used to understand the complex problems of the real world and simplify them to make well-informed decisions. Tools available to analyze data:...
Data Analytics Communication
Data Analytics Communication is the last step where the analyzed data is formally presented to stakeholders. Use of several data visualization techniques makes communication effective. Data analysis can be presented in various forms: - Visual GraphsPlotting...
Data Analytics Hypothesis or Conclusion
Hypothesis is used in research and analytics to understand the relationship between dependent and independent variables. Hypothesis building can begin in the data exploration stage, but it becomes more mature and perfect in the conclusion or prediction phase. Key...
Exploratory Data Analysis
Exploratory Data Analysis (EDA) is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. Following are the different steps involved in EDA: Data Collection - It is the process of gathering the data in a systematic way...
Data Analytics Process and its steps
Data by itself is just an information source. But unless you can understand it, you will not be able to use it effectively. Data Analytics Process involves the combination of processes to help you extract the information from data sets. Along with domain knowledge,...
Data Analytics with Python
We have seen how data science can be applied to different sectors. Python helps data scientists to do data analytics which transforms the raw data to information. As the process of analyzing raw data to find trends and answer questions, the definition of data...
Application of Data Science in Different Sectors
Data science also helps to manage an enormous amount of data effectively. So, what are these various sectors doing with all that big data? Their team of scientists analyzes all raw data using modern algorithms and data models to transform them into information. They...