HomeCoursesIntroduction to Data Analysis and Visualization with R

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20h

Updated 4 months ago

Introduction to Data Analysis and Visualization with R

Gain insights into data manipulation, analysis, and visualization with R. Learn statistical concepts, create insightful visualizations, and empower decision-making to excel in data-centric roles.

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This course delves into data manipulation, analysis, and visualization with R. It demonstrates the power of R as open-source statistical software, unlocking valuable insights for decision-making across diverse fields. You'll begin by mastering the basics of R programming, fundamental data structures in R, and file management. You will learn fundamental statistical concepts such as hypothesis testing and regression analysis. You will also learn to leverage well-structured data for creating insightful visualizations using R's robust graphics libraries. After completing this course, you'll confidently approach data-driven challenges. With proficiency in R, you can efficiently manipulate and analyze data, positioning yourself as a sought-after asset in data-centric roles. Your ability to interpret statistical results and create compelling data visualizations will empower improved decision-making, paving the way for new opportunities for career growth and success across various industries.

This course delves into data manipulation, analysis, and visualization with R. It demonstrates the power of R as open-source sta...Show More

WHAT YOU'LL LEARN

Proficiency in data manipulation and analysis using R language

Profound knowledge of basic data structures in R language and file management

Understanding of statistical concepts and their interpretation

Expertise in creating meaningful data visualizations using R

Hands-on experience with a project based on a real dataset

Proficiency in implementing data-driven decision-making skills

Proficiency in data manipulation and analysis using R language

TAKEAWAY SKILLS

Data Science

Data Visualization

Data Manipulation

Data Cleaning

Content

70 Lessons1 Project7 Quizzes1 Assessment4 Challenges

Getting Started

4 Lessons

Get familiar with R programming, essential packages, and practice with ready-to-use datasets.

Introduction to the Course

Common R Packages for Data Analysis

Ready-to-Use Datasets in R

Quiz on the Fundamentals of R

File Management

3 Lessons

Grasp the fundamentals of reading, loading, and saving data efficiently in R.

Read and Load Data in R

Save Data in Files in R

Quiz on File Management

Data Structures

10 Lessons

Master the steps to understand R data types, coercion, structures, and string manipulation.

Quiz on Data Structures

Challenge: Calculate String Length

Solution: Calculate String Length

Data Cleaning

11 Lessons

Grasp the fundamentals of data cleaning in R, including managing, transforming, and exploring data frames.

Data Frames in R

Modify Data Frames Using R

Explore Data Using R

Delete and Add Data Using R

Select and Filter Data Using R

Sort and Shuffle Data Using R

Change Data Types Using R

Mutate Data Using R

Quiz on Data Cleaning

Challenge: Clean Data

Solution: Clean Data

Statistical Analysis

14 Lessons

Deepen your knowledge of statistical methods, hypothesis testing, sampling, and data relationships using R.

Descriptive Statistics

Data Distribution

Inferential Statistics

Hypothesis Testing

Confidence Interval

Student's T-test

ANOVA (Analysis of Variance)

Quiz on Statistical Analysis

Challenge: Lookup Case Study

Solution: Lookup Case Study

Data Transformation

9 Lessons

Tackle data transformation in R using aggregation, crosstabs, normalization, outlier handling, encoding, and patient data challenges.

Data Aggregation in R

Crosstabs and Pivot Tables in R

Dealing With Missing Values in R

Normalization and Data Scaling in R

Dealing With Outliers in R

Encode Categorical Data Using R

Quiz on Data Transformation

Challenge: Help Patients

Solution: Help Patients

Data Visualization

18 Lessons

Build on understanding chart functions, ggplot2, and various visualization techniques in R.

Introduction to Chart Functions in R

Introduction to the ggplot2 Library

Deciding on the Plot Type

Quiz on Data Visualization

Challenge: Visualize the Data

Solution: Visualize the Data

Task: Netflix Shows and Movies

Uber Data Analysis Using the R Language

Project

Conclusion

1 Lessons

Get familiar with leveraging your R skills for impactful data-driven decisions and career growth.

Wrap-up

Evaluation

Assessment

Netflix Shows

Project

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Course Author:

Yusuf Gulcan

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