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Data Manipulation and Cleaning in R
Transform raw data into valuable insights using R's powerful tidyverse tools. This beginner-friendly course introduces you to essential data cleaning and manipulation techniques, making complex data tasks approachable and practical. Learn how to clean messy data, handle missing values, and prepare datasets for analysis using Microsoft's development environment and AI assistance.
Through hands-on practice, you'll master fundamental data cleaning skills while building confidence in:
- Organizing and structuring data effectively
- Handling common data issues
- Working with different data formats
- Using AI tools to enhance your workflow
- Creating reproducible data cleaning processes
Each concept is taught step-by-step with extensive examples and guided practice, ensuring you build a strong foundation in data manipulation skills.
Duration
4 Months
Institution
Microsoft
Format
Online
Eligibility Criteria
school
Academic Foundation
A recognized Bachelor’s degree or high school equivalent required for admission into Microsoft.
language
Language Proficiency
English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.
Detailed Fees Breakdown
Base Tuition Fee
$83
Total Est. Investment
$83
Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.
Academic Trajectory
Program Outcome
Graduates of the Data Manipulation and Cleaning in R program at Microsoft are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.