Projects in Data Science Using R

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Course Features

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Duration

10.36 hours

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Delivery Method

Online

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Available on

Lifetime Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

10.36 hours

Course Description

Data Science is a multidisciplinary field that uses scientific methods, processes, algorithms and systems for gaining insights by analyzing the structured or unstructured data. Basically, it helps in finding hidden patterns from the raw data by using technologies like R, Hadoop, Machine Learning and others.With Its use from the healthcare industry to businesses, it has one of the greatest potentials to change numerous sectors to Its entirety. Similar to the rise of data in recent years, the demands of data scientists have also exploded with average salaries being offered up to $110,000 depending upon the locality.Why you should learn Data Science?Desired in different fields like business, healthcare, finance and others In order to perform complicated data analysis To find the hidden patterns by data manipulation For making precise predictions Why you should take this course?The regular need for storing, modifying and analyzing data have made data science one of the most important field. from big to small companies, all are in a constant search for the data scientists or the individuals who understand and can work with a huge pool of data. Knowing all these facts, we have designed this comprehensive online tutorial which will help you in building different real-world projects. This tutorial with over 5 hours of videos will be sufficient enough to make you explain different aspects of data science in the most simplest, easiest and practical way.Take this course for building different real-world projects in Data Science which has great potential in the world full of data. With this course, you will learn about:Network Analysis- You will perform this concept on the pool of traffic data from a city Data Wrangling- For wrangling and visualization sports data in order to get better insights Data Manipulation- To apply all the data science concepts on historical data for having better insights on the rise and fall of empires.Forecasting- For analyzing the data to forecast commodities prices.And so much more!

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

Prerequisites are not available for this course

What You Will Learn

use more advanced conditional statements

how to read and write files using Python

how to make API requests

how to use 3rd party packages

list and dictionary comprehensions

virtual environments

Course Instructors

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Timothy Young

Instructor

Eduonix creates and distributes high quality technology training content. Our team of industry professionals have been training manpower for more than a decade. We aim to teach technology the way it ...
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