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Data Analytics Engineering: Probability & Techniques
Coursera
Course
Unknown

Data Analytics Engineering: Probability & Techniques

Northeastern University

Learn computational fundamentals for analyzing real-world data, including data structures, cleaning, probability, cluster, text, and time series analysis.

Unknown4 weeksKK, Arabic, German, UZ

About this Course

This course offers students an opportunity to learn fundamentals of computation required to understand and analyze real world data. The course helps students to work with modern data structures, apply data cleaning and data wrangling operations. The course covers conceptual and practical applications of probability and distribution, cluster analysis, text analysis and time series analysis

What You'll Learn

  • Learn computational fundamentals
  • Analyze real-world data
  • Apply data cleaning and wrangling
  • Conduct probability and cluster analyses

Prerequisites

  • Basic computer and internet skills
  • Ability to follow English instructions and complete short exercises

Instructors

S

Sri Radhakrishnan

Associate Professor

Topics

Data Analysis
Data Science
Algorithms
Computer Science
Data Preprocessing
Data Manipulation
Probability & Statistics
Unsupervised Learning
Text Mining
Statistical Analysis

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تحليل البيانات
علوم البيانات
الخوارزميات
علوم الحاسوب
معالجة البيانات
تنظيف البيانات
الاحتمالات والإحصاء
التعلم غير الخاضع للإشراف
Text Mining
Statistical Analysis

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