R Programming for Statistics and Data Science

Description

R Programming for Statistics and Data Science is the course that will take you from a complete beginner in programming with R to a professional who can complete data manipulation on demand. It gives you the complete skillset to tackle a new data science project with confidence and be able to critically assess your and others' work.

R programming is a skill you'll need if you want to work as a data analyst or a data scientist in your industry of choice. And why wouldn't you, data scientist is the hottest ranked profession in the US. But to do that, you need the tools and the skillset to handle data. R is one of the top languages to get you where you want to be. Combine that with statistical know-how, and you will be well on your way to your dream job. This course packs all of this, and more, in one easy-to-handle bundle, and it's the perfect start to your journey. So, welcome to R Programming for Statistics and Data Science, the course that will get you from a complete beginner in programming with R to a professional who can complete data manipulation on demand. It gives you the complete skillset to tackle any new data science project with confidence and critically assess your and other people's work. Practicability is the key to this course. Using R, you have a wide variety of options where you can take the code provided within this course and expand on it in any number of directions. You'll reinforce your learning through numerous practical exercises. All resources and code files are placed here: https://github.com/packtpublishing/programming-for-statistics-and-data-science

Learn the fundamentals of programming in R
Work with R s conditional statements, functions, and loops
Learn to build your own functions in R
Learn how to manipulate data with the Tidyverse ecosystem of packages
Learn how to systematically explore data in R
Learn the fundamentals of statistics and apply them in practice

Aspiring data scientists, beginners in programming, people interested in statistics and data analysis, and anyone who wants to learn how to code and apply their skills in practice will find this course useful.

This course will take you on a journey where you'll explore different aspects of statistics and data science and incrementally build up your knowledge of theory and practice in a step-by-step manner.

You will learn descriptive statistics and the fundamentals of inferential statistics * Soar above the average data scientist and boost the productivity of your operations * Learn to work with R's most comprehensive collection of tools and create meaning-heavy data visualizations and plots

https://github.com/packtpublishing/programming-for-statistics-and-data-science

365 Careers' courses have been taken by more than 203,000 students in 204 countries. People working at world-class firms such as Apple, PayPal, and Citibank have completed 365 Careers trainings. By choosing 365 Careers, you make sure you will learn from proven experts who have a passion for teaching, and can take you from beginner to pro in the shortest possible amount of time. If you want to become a financial analyst, a finance manager, an FP&A analyst, an investment banker, a business executive, an entrepreneur, a business intelligence analyst, a data analyst, or a data scientist, 365 Careers' courses are the perfect place to start.

1. Introduction and Getting Started

2. The Building Blocks of R

3. Vectors and Vector Operations

4. Matrices

5. Fundamentals of Programming with R

6. Data Frames

7. Manipulating Data

8. Visualizing Data

9. Exploratory Data Analysis

10. Hypothesis Testing

11. Linear Regression Analysis