Projects in Data Science Using R

The practical guide to master real world Data science building projects

Data Science is a multi-disciplinary 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.

What you’ll learn

  • Learn the fundamentals of R programming.
  • Learn the core concepts of Data science.
  • Learn data concepts building real world projects.

Course Content

  • Introduction to Data Science Using R –> 9 lectures • 1hr 4min.
  • Data Transformation –> 13 lectures • 1hr 55min.
  • Data Visualization –> 9 lectures • 1hr 44min.
  • Exploratory Data Analysis –> 4 lectures • 1hr 3min.
  • Regression Models –> 6 lectures • 1hr 19min.
  • KNN Model –> 9 lectures • 1hr 59min.
  • Classification Dataset –> 8 lectures • 1hr 18min.

Projects in Data Science Using R

Requirements

  • Basic knolwedge of R programming will be helpful for completion of the course.

Data Science is a multi-disciplinary 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  to retail, 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.

Projects covered in the course :

  • Data Transformations on Iris Dataset
  • Project on Wide and Long Data
  • Performing Joins on Datasets
  • Project on Facets, Geoms and Tansformations

Take this course for building different real-world projects in Data Science which has great potential in the world ruled by data.

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