Data Analyst in R
₹3,299.00
Equip yourself with the necessary R skills to land your first job as a data analyst — or take your career to the next level by adding this in-demand programming language. You’ll learn how to program with R to explore and extract data and create data visualizations. By the end, you’ll be able to present insights thanks to deep statistical analysis.
Advantage of this course
- Hands-on Learning
- Project-Based Curriculum
- Guided Learning Paths
- Experienced Instructors
- Progress Tracking and Certificates
- Skill Mastery and Job Readiness
About The Course
- Dataquest is one of the most popular interactive data science learning platforms. Despite not having videos for each topic, their teaching methodology and project-based learning style are very effective.
- The Data Analyst with R path, which also has a Python version, brings learners with no programming experience through the entire analytics pipeline using R and SQL.
- Python is often the first choice for working with data, but if your goal is to become proficient in analytics, R plays more nicely with data and statistics out of the box. The language’s straightforwardness lets you be productive with data faster than Python in many cases.
What Will You Learn
- Programming with R to perform complex statistical analysis of large datasets
- Performing efficient data analysis from start to finish
- Performing SQL queries and web-scraping to explore and extract data from databases and websites
- Building insightful data visualizations to tell stories
Buy Now Data Analyst in R
Course Contents
Introduction to R
Data Cleaning in R
APIs and Web Scraping in R
Data Visualization
Working with Data Sources Using SQL
Predictive Modeling and Machine Learning in R
FAQ
While prior knowledge of data analytics is not always required, having basic mathematical skills and familiarity with computer applications can be beneficial. Some courses are designed for beginners and assume no prior experience.
Data analysts are in demand across various industries, including finance, healthcare, marketing, and technology, with opportunities for career growth and specialization.
While prior knowledge can be helpful, many data analytics courses are designed for beginners and assume no prior programming or advanced math background. The course will provide the necessary foundational knowledge.
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