3RI Technologies Data Science Training: www.3ritechnologies.com/course/data-science-traini…

This 3RI Technologies Data Science Tutorial will help you to understand and learn about Data Science in detail. This Data Science Tutorial is for beginners as well as professionals who want to make career in Data Science.

This Data Science Tutorial For Beginners explains a use case, Discussing a real-life scenario, DataSet, and many more things. This Data Science Tutorial For Beginners video contains below topics:
00:01 discussion about a use case
01:25 Discussing a real-life scenario
02:13 DataSet
02:39 Flow of Processing
04:11 Feature Scaling
05:45 Confusion Matrix
08:54 Hands-on Practice details


Purpose of Data science

The main purpose of data science is to find patterns in the data. It uses various statistical techniques to analyze the data and obtain information from them. After data extraction, litigation, and preprocessing, a data scientist must review the data completely. It is therefore responsible for making predictions from the data. The goal of a data scientist is to conclude the data. These results can help companies make smarter business decisions. We will divide this blog into different sections to better understand the role of a data scientist.

Why data Science is important?

The data is the new flow. We live in the era of the fourth industrial revolution. It is the era of artificial intelligence and big data. There is a huge data explosion that has resulted in new technologies and smarter products. Data needs have grown enormously over the past decade. Many companies have focused on data. Data has created new industries in the IT industry.
Data science is a whole new terminology. Before data science, we had statisticians. These statisticians had experience in analyzing qualitative data and companies used it to analyze their performance and overall sales. With the advent of an IT process, storage, and analysis tools in the cloud, the IT field has merged with statistics. This created data science.
Analysis of initial data based on research and solutions to public problems. For example, a survey of several children in a district would lead to a decision on the development of the school in this area. The decision-making process has been simplified using computers. As a result, computers can solve more complex statistical problems. As the data grew, companies began to see its value. Its importance is reflected in the many products designed to improve the customer experience. The industry was looking for experts who could use the potential of the data. Data can help you make the right business decisions and maximize your profits. It also allowed the company to examine customer behavior based on its

WHO CAN JOIN THIS COURSE?

• Developers looking for a career switch and aspiring to become Data Scientists.
• Students pursuing their graduation/post-graduation and to make their career in the Data Analytics / Data science field.
• BigData Professionals.
• Professionals who want to understand machine learning.
• Professionals working on Data and Business Analysts


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