What is Data Science ?

 What is an Algorithm? "In Mathematics and computer science, an algorithm is a finite sequence of well-defined, computer-implementable instructions, typically to solve a class of problems or to solve a class of problems or to perform a computation." In simple words, an algorithm is a step-by-step procedure to solve any problem. Why Data Scientists need to learn Algorithms?  Knowledge of data structures & algorithms is useful for data scientists because our solutions are inevitably written in code. As such, it is important to understand the structure of data and how to think in terms of algorithms. As the role of a Data Scientist is to solve complex problems by performing custom data analysis by designing the model so there is a need to learn algorithms.  Types of Algorithms in Machine Learning Linear Regression  Logistics Regression KNN  K-Means Clustering Naive Bayes  Decision Tree  Random Forest These Machine Learning algorithms can be used to so...

What is Data Science? "Data Science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structural and nonstructural data." Data Science is related to Data Mining, Machine Learning, and Big Data.  Need for Data Science : - Predictive Analysis (What will happen next ?) - Pattern Discovery (Is there any hidden information in data) - Better decision making (Whether A or B)   Ex: 1) To predict the best routes for Aeroplanes by detecting Air traffic, weather conditions, etc. 2) To predict the best routes for ships to deliver the goods of companies. Prerequisites for Data Science - Curiosity  - Common Sense  - Communication Skills  Key Components Of Data Science  Machine Learning  Mathematical Modelling Statistics  Computer Programming  Databases Data Science Lifecycle with examples  Concept Study  Data Preparation  Model Planning  Communicati...