9/13/2023 0 Comments Data science basics ppt![]() ![]() ![]() Data science technology is opting by various companies, whether it is a big brand or a startup.With the help of data science technology, we can convert the massive amount of raw and unstructured data into meaningful insights.Following are some main reasons for using data science technology: So to handle, process, and analysis of this, we required some complex, powerful, and efficient algorithms and technology, and that technology came into existence as data Science. Now, handling of such huge amount of data is a challenging task for every organization. Every Company requires data to work, grow, and improve their businesses. It is estimated as per researches, that by 2020, 1.7 MB of data will be created at every single second, by a single person on earth. Some years ago, data was less and mostly available in a structured form, which could be easily stored in excel sheets, and processed using BI tools.īut in today's world, data is becoming so vast, i.e., approximately 2.5 quintals bytes of data is generating on every day, which led to data explosion. All these decision factors will act as input data, and we will get an appropriate answer from these decisions, so this analysis of data is called the data analysis, which is a part of data science. Now, we need to take some decisions such as which route will be the best route to reach faster at the location, in which route there will be no traffic jam, and which will be cost-effective. Let suppose we want to travel from station A to station B by car. Understanding the data to make better decisions and finding the final result. ![]() Visualizing the data to get a better perspective.Modeling the data using various complex and efficient algorithms.Asking the correct questions and analyzing the raw data.In short, we can say that data science is all about: It is the future of artificial intelligence. It is a multidisciplinary field that uses tools and techniques to manipulate the data so that you can find something new and meaningful.ĭata science uses the most powerful hardware, programming systems, and most efficient algorithms to solve the data related problems. In this tutorial, we are giving an introduction to data science, with data science Job roles, tools for data science, components of data science, application, etc.ĭata science is a deep study of the massive amount of data, which involves extracting meaningful insights from raw, structured, and unstructured data that is processed using the scientific method, different technologies, and algorithms. Every organization is looking for candidates with knowledge of data science. Next → Data Science Tutorial for Beginnersĭata Science has become the most demanding job of the 21st century. ![]()
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