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Data Science is all about mining hidden insights of data pertaining to trends, behaviour, interpretation and inferences to enable informed decisions to support the business. The professionals who perform these activities are said to be a Data Scientist / Science professional. Data Science is the most high-in-demand profession and as per Harvard and the most sort after profession in the world.

#data #science

Data is at the core of Data Science. Statistics is all about understanding data in a mathematical way for actionable insights. In this tutorial we talk about what when & why of statistics, as well as different stages through which any statistical analysis project will go through.

The different stages are as follows:

- Business Objective

- Data Collection

- Data Visualization

- Data Pre Processing

- Modelling

- Interpret In this video we will try to understand purpose and impact of our mentioned stages through a case study of TATA Salt.

#statistics #datavisualization #datacleaning

In this video, we would be learning about data science from basics using the real-time example on the Liverpool soccer team case study.you will understand th...

This vedeo gives the information about exactly what is data science and how it is helped in Liverpool Champs to predict their win

#whatisdatascience #datsscienceforbeginner #datacleaning #datavisualization

Top Python Libraries | Data Processing & Visualization | Python Training | Python Tutorial | ExcelR

In this video, you will learn about how to install anaconda navigator, launching Jupyter, a brief introduction to various Python libraries that includes NumPy, panda, sci-kit-learn, Seaborn, etc. You will also learn more about panda libraries, like adding data structure, tools to work with table-like data, and data modeling that includes - sorting, reshaping, merging, slicing, and aggregation. The advantage of using python is handling missing data. This program is an initiation for engineering students in partnership with state and government bodies, where they will not only learn from the basics to the advanced level but also a complete practical oriented hands-on training studded with assignments and projects. Enrolled students will work parallelly through assignments by learning industrial case studies, data analysis, and part of machine learning algorithms and various industrial applications.

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