JMS Tile

Data Science, Big Data, & Data Analytics, Data Scientist, Big Data Professional & Data Analyst Skill-Set Required To Become Data Scientist => Data Enthusiast | Research Fellow => Statistical & Analytical Skills => Data Mining Activities => Machine Learning => Deep Learning principles => In depth knowledge of programming => SQL/Database coding => SAS /R Coding Skill-Set Required To Become Big Data Professional => Technologies like Hadoop, Spark, Hive => Working with unstructured data => General Purpose Programming => SQL/Database coding => Familiarity with MATLAB => Business skills => Data visualization Skill-Set Required To Become Data Analyst => Data Warehousing => Hadoop Based Analytics => Adobe & Google Analytics => Programming skills => Scripting & Statistical skills => Reporting-with data visualization software => SQL/Database coding => Spread-Sheet Knowledge Skill Sets Required for Big Data and Data Analytics: Big Data: • Grasp of technologies and distributed systems, • Creativity to gather, interpret and analyze a data strategy • Programming languages like Java, Scala and Frameworks like Apache or Hadoop • Mathematical and Statistical skills to help with number crunching Data Analytics: • Programming languages like R, Python • Data wrangling skills to gather raw data and convert it to a presentable format • Statistical and mathematical skills to draw inferences • Data visualization skills Data Analytics is the science of examining raw data with the purpose of drawing conclusions about that information. It is all about discovering useful information from the data to support decision-making. This process involves inspecting, cleansing, transforming & modeling data. Big Data refers to the large amounts of data that is pouring in from various data sources and has different format. Data Science is a blend of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw data.