Introduction To Data Science Using R Programming

Learn and master data science concepts using R . Learn both analytics and visualization in one single course
3.89 (22 reviews)
Udemy
platform
English
language
Data Science
category
Introduction To Data Science Using R Programming
106
students
7 hours
content
Dec 2018
last update
$19.99
regular price

Why take this course?

πŸš€ Introduction To Data Science Using R Programming πŸ“ŠπŸ”


Course Overview:

A powerful and comprehensive course designed to master the art of data visualization and analytics using R, one of the most significant tools in the data science domain. This course is perfect for beginners as well as intermediate students aiming to dive into the world of data science.


Why Data Science Now? πŸ€”πŸ’‘

  • Data's Role in Modern Business: Today, data is not just powerful; it's fundamental to making informed business decisions. As we move deeper into the digital age, data has become the backbone of modern business functions.
  • Growing Demand for Data Professionals: The demand for data scientists, miners, and analysts is at an all-time high. Now is the time to capitalize on this booming industry by acquiring the right skills.

What This Course Offers:

  • Beginner to Expert Journey: Whether you're starting from scratch or looking to refine your skills, this course is tailored for both beginners and intermediate students.
  • Mastery of R Statistical Environment: Get hands-on experience with the R programming language and its powerful computing environment, essential for statistical computing and graphics.

Key Features of the Course:

  • Understanding R Basics: Learn the syntax and fundamental concepts that are the building blocks of R for data science.
  • Data Import & Export: Discover how to effectively import, organize, manipulate, and export data within R.
  • Data Visualization Techniques: Explore the world of data visualization from basic to advanced levels, including creating engaging maps using JSON structures.
  • Data Manipulation Skills: Gain proficiency in data munging/wrangling, a critical skill for transforming raw data into actionable insights.
  • Statistical Implementation: Apply statistical methods and implement them in real-world scenarios.

Course Breakdown:

  • πŸ“ˆ Basic Data Visualization: Understand the fundamentals of visualizing data and creating graphs that tell a compelling story.
  • πŸš€ Advanced Data Visualization: Learn to create sophisticated visualizations that can represent complex datasets.
  • 🌍 Generating Maps using JSON Structures: Utilize R's capabilities to generate interactive maps from various data sources.
  • 🧠 Implementation of Statistics: Apply your knowledge of statistics in practical examples and learn how to interpret the results.
  • πŸ€– Data Wrangling/Manipulation: Master the techniques to clean and prepare your data for analysis, making it more meaningful and actionable.

Your Learning Outcomes:

By completing this course, you will have a solid understanding of how to manipulate and visualize data using R. You'll be able to:

  • Import and export data with ease.
  • Perform complex data analysis and statistical modeling.
  • Create compelling visualizations and interactive maps.
  • Make informed decisions based on data, driving business success.

Enroll Now and Become a Data Science Expert! πŸŽ“βœ¨

Don't miss out on this opportunity to embark on a career in one of the most exciting fields today. With the right skills and knowledge, you can become an indispensable asset in any data-driven organization. Enroll in Introduction To Data Science Using R Programming now and start your journey towards becoming a proficient data scientist! πŸš€πŸ’»

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Related Topics

1781254
udemy ID
04/07/2018
course created date
20/11/2019
course indexed date
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