Data Cleaning and Preparation in R

Master the essential skills to transform messy, real-world datasets into clean, analysis-ready formats using modern R programming techniques.

4.8 (746) ⏱ 1 oras 15 min 📚 10 aralin

Tungkol sa kursong ito

Raw data is rarely ready for analysis right out of the box, often containing errors, missing values, or inconsistent formatting. Learning to identify and fix these issues is the most critical step in any data professional's workflow, ensuring that the conclusions drawn from data are accurate and reliable. This course provides a structured approach to identifying data quality issues and applying programmatic solutions to resolve them. You will move from understanding basic data structures to implementing sophisticated cleaning pipelines that ensure your analysis is built on a solid foundation. By focusing on reproducible workflows, you will learn how to turn chaotic spreadsheets into structured data ready for modeling. What you'll learn: - Understand data types and convert between formats to ensure computational accuracy - Apply range and categorical constraints to identify and handle out-of-bounds values - Identify and resolve duplicate records using exact and partial matching techniques - Handle missing data systematically by identifying patterns and applying imputation strategies - Clean and standardize string data using modern text manipulation tools - Implement record linkage to merge disparate datasets with inconsistent naming conventions - Practice tidy data principles to restructure datasets for efficient downstream analysis The course begins with fundamental definitions of data quality and the philosophy of tidy data before moving into practical text-based exercises. You will learn to use the modern R ecosystem to automate repetitive tasks, handle messy strings, and join datasets that don't perfectly align. This course is designed for beginners who have a basic grasp of R syntax and want to focus on the practicalities of data preparation. No prior experience in data engineering or advanced statistics is required. Start building your data cleaning toolkit today.

Ang makukuha mo

  • 📜 Certificate ng pagtatapos
    Idagdag sa LinkedIn profile mo
  • ♾️ Lifetime access
    Bumalik anumang oras, walang expiry
  • 📱 Telepono o computer
    Gumagana saanman, kahit anong device
  • 💸 30-day refund
    Walang tanong
  • Maikli at focused
    1 oras 15 min ng practical content

Mga review (4)

Petar Hristov BG
★ 4 · 2026-03-03T16:51:23+00:00

Thoroughly enjoyed this course. The way the information was presented was excellent, and the practical applications were highlighted effectively. Great job!

Mary Boakye GH Verified learner
★ 4 · 2025-11-22T18:54:23+00:00

Really well-organized content. I appreciated the variety of examples used to explain things. Totally leveled up my understanding.

فاتن بن علي TN Verified learner
★ 1 · 2025-11-01T18:26:23+00:00

Not worth it. The course felt very poorly put together, and the information wasn't useful in any practical sense. Avoid.

سعيد بن محمد بن أحمد آل ثاني QA Verified learner
★ 3 · 2025-05-24T02:34:23+00:00

Good introduction. I appreciated the clear steps, although some of the later modules could have used more examples.

Magsulat ng review

Hihilingin naming mag-sign in ka pagkatapos — ligtas ang draft mo.

Kinuha rin ng iba

Mga madalas itanong

Ano ang kailangan ko para sa kursong ito? +

Telepono o computer na may internet lang. Walang install, walang special hardware.

Paano ako magbabayad? +

Sa pamamagitan ng card via Stripe, o cryptocurrency. Hindi namin iniimbak ang detalye ng card — secure na hinahawakan ng Stripe.

Pwede ba akong mag-refund? +

Oo — full refund sa loob ng 30 araw, walang tanong.

Hanggang kailan ang access ko? +

Habang buhay. Sa pagbili, sa iyo na ang course — balikan mo kahit kailan.

Makakakuha ba ako ng certificate? +

Oo. Pagkatapos, makakatanggap ka ng certificate na maidadagdag sa LinkedIn profile mo.

Para sa mga learner sa
Tech Design Finance Marketing Healthcare Edukasyon Hospitality Manufacturing