Crash Course - R programming from Scratch & workout
Master data analysis! Learn to import, clean, and analyze data using techniques like regression and frequency analysis. Develop valuable data science skills.
Course Content
Crash Course - R programming from Scratch & workout is an all-levels Udemy course taught by Gopal Prasad Malakar. It runs 3h 12m, is taught in English, and includes a certificate of completion. Learners rate it 4.2 out of 5 from 62 reviews, with 752 students enrolled. It is a paid course, last updated December 2023.
Unlock the power of R programming for data analysis with this comprehensive course! This practical training equips you with the essential R syntax skills to efficiently import, enter, and view data and metadata in R.
Here's what you'll learn:
- Data Import & Management: Master techniques for bringing data into R, ensuring data integrity and accessibility.
- Frequency Distribution & Univariate Analysis: Gain insights from your data using fundamental statistical methods.
- Data Manipulation: Learn to create derived variables, merge and append data sets, and sort/subset data for focused analysis.
- String Manipulation: Extract and utilize specific portions of variables using substring functions.
- Cross-Tabulation: Perform cross tab analysis to uncover relationships between categorical variables.
- Linear Regression: Develop predictive models with linear regression analysis.
- Practical Application: Apply your skills through 10 hands-on practice case studies designed to solve real-world business problems.
Course Materials:
- 20 HD Videos: Clear and concise video tutorials guide you through each concept.
- Excel Data Sets: Downloadable datasets for practice and experimentation.
- PDF Presentation: Reinforce your learning with a comprehensive presentation.
- R Code: Access the R code used in the videos for further exploration.
Course Structure:
The course is structured for optimal learning:
- Section 1: Getting Started: Learn how to install R and RStudio, understand the R environment, and prepare your data for analysis.
- Section 2: Core R Syntax: Master fundamental R syntax through practical examples.
- Section 3: Advanced Syntax: Explore additional syntax needed for efficient data manipulation.
- Section 4: Case Studies: Apply your newly acquired skills to solve practical business challenges.
Course Duration:
This course is designed to be completed in approximately 4 hours, allowing for effective knowledge absorption.
Why Choose This Course?
This course provides a quick and simplified learning path to mastering R programming for data analysis. We focus on practical application, explaining key concepts through real-world examples. You'll gain the skills to confidently work with data mining, analytics, and machine learning techniques using R. The included practice case studies ensure you can immediately apply your knowledge to solve business problems. Start your journey in data analysis today!
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