4/15/2023 0 Comments Basic data science concepts![]() Regression analysis substantially overlaps with the Machine Learning field.Ĭomputer Programming languages are used to develop and build the models used in Data analysis. For example, forecasting monthly sales trend for the year based on past and current data. It is used in Data Science for statistical modelling, to find trends in the data to predict or forecast specific behaviours. For example, temperature, sales turnover etc. Regression analysis is a statistical process that estimates relationships between a dependent variable and independent variables, to provide a real number value representing a quantity on a line. A simple example of one such model is predicting the probable outcome of a dice roll.ĭata Science Concept #4: Regression Analysis Statistical models can be considered as statistical assumptions, allowing Data Scientists to calculate the probability of an event occurring. Models can be used to extract information or predict probable outcomes, based on available data. This Data Science Concept is a crux of this field. ![]() It is the process of analysing datasets by mathematically representing observed data in order to make inferences from the samples provided. Statistical Models are mathematical models that specify relationships between random and non-random variables. These can either be automated to self-learn, as in the case of Machine Learning, or simple Macros applied to excel sheets in oder to generate results based on the data provided.ĭata Science Concept #3: Statistical Models In Data Science, many data models and data analysis are accomplished with the use of algorithms. The simplest algorithm for example, is a recipe – a set of rules to follow to get a specific outcome. Machine Learning is the crux of managing and working with Big Data.Īlgorithms are a specific set of rules or processes used in a calculation to solve problems or perform a task. In addition, these predictions are not only based on new data, but also all the previous computations that were run. As a system is exposed to new data, the machine learning algorithm is able to independently process and adapt it to predict outcomes more accurately. With relation to Data Science, it is use to build predictive models. The system then self-learns from data, performs pattern recognition and make decisions, with little to no human intervention. Machine Learning is a branch of Artificial Intelligence that works by programming a system to automatically perform a specific task. This article covers 5 fundamental Data Science Concepts.ĭata Science Concept #1: Machine Learning Data Science, Data Analytics and Business analytics are complex subjects that interweave a myriad of concepts from maths, statistics, programming, computing and management level skills. ![]()
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