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Foundations for Data Analytics Part 2 · LearnSpace
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Foundations for Data Analytics Part 2

Курс от Northeastern University
Начальный≈ 9.7 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

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. This is Part 2 of 2.

Навыки, которые вы освоите

Natural Language ProcessingNetwork AnalysisText MiningProbability & StatisticsCorrelation AnalysisProbability DistributionTime Series Analysis and ForecastingFeature EngineeringData AnalysisData PreprocessingGraph TheoryData StructuresUnstructured DataData CleansingNetwork ModelProbabilityData ProcessingStatistical AnalysisStatistical Methods

Программа курса

7 модулей · 60 учебных материалов

01Time Series Analysis II12 материалов

Getting Started

Course IntroductionЧтениеSyllabus - Foundations of Data Analytics Part 2ЧтениеMeet Your FacultyВидеоCourse OverviewВидео

Учитесь у экспертов

Qurat-ul-Ain Azim

Преподаватель курса

Foundations for Data Analytics Part 2
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 9.7 ч

7 модулей

Язык: Английский

Субтитры: Венгерский, Узбекский, Казахский

Часть программы вашего университета
Academic IntegrityЧтение

Lesson 1: Time Series Feature Extraction

Time Series Feature ExtractionЧтениеTime Series Feature ExtractionВидеоModule 8 Assess Your Learning: Time Series Feature ExtractionЗадание

Lesson 2: Permutation Entropy and Complexity Method

Permutation Entropy and Complexity MethodЧтениеPermutation Entropy and Complexity MethodВидеоCECP ExampleВидеоModule 8 Assess Your Learning: Time Series FeaturesЗадание
02Text Analysis13 материалов

Lesson 1: Text Processing

Text ProcessingЧтениеText ProcessingВидео

Lesson 2: Text Processing Basics: Tokenization and Stemming

Text Processing Basics: Tokenization and StemmingЧтениеText Processing Basics: Tokenization and StemmingВидеоModule 9 Assess Your Learning: Text Processing BasicsЗадание

Lesson 3: Bags-of-Words (BoW)

Bag of Words (BoW)ЧтениеBag of Words (BoW)Видео

Lesson 4: Term Frequency-Inverse Document Frequency (TF-IDF) and Word Embeddings

TF-IDF and Word EmbeddingsЧтениеTF-IDF and Word EmbeddingsВидеоModule 9 Assess Your Learning: BoW and TF-IDFЗадание

Lesson 5: Text Analysis Techniques

Text Analysis TechniquesЧтениеText Analysis TechniquesВидеоModule 9 Assess Your Learning: Text Analysis TechniquesЗадание
03N-grams, Bigrams and Word Correlations6 материалов

Lesson 1: N-Grams and Bigrams

N-Grams and BigramsЧтениеN-Grams and Bi-GramsВидеоModule 10 Assess Your Learning: N-Grams and BigramsЗадание

Lesson 2: Word Correlations Using PMI

Word Correlation Using PMIЧтениеWord Correlation Using PMIВидеоModule 10 Assess Your Learning: Word Correlations Using PMIЗадание
04Network Analysis and Keyword Co-Occurrence Network8 материалов

Lesson 1: Fundamentals of Complex Networks

Fundamentals of Complex NetworkЧтениеFundamentals of Complex NetworkВидеоModule 11 Assess Your Learning: Fundamentals of Complex NetworksЗадание

Lesson 2: Text Analysis Using Keyword Co-Occurrence Networks

Text Analysis Using Keyword Co-Occurrence NetworkЧтениеText Analysis Using Keyword Co-Occurrence NetworkВидео

Lesson 3: Keyword Co-Occurrence Networks

Keyword Co-occurrences NetworksЧтениеKeyword Co-occurrences NetworksВидеоModule 11 Assess Your Learning: Keyword Co-Occurrence NetworksЗадание
05Probability–Random Variables8 материалов

Lesson 1: Random Variables

Random VariablesЧтениеExamples: Random VariablesЧтениеStatistics in Data Analysis: Random VariablesВидеоModule 12 Assess Your Learning: Random VariablesЗадание

Lesson 2: Probability Distribution Functions

Probability Distribution FunctionsЧтениеExamples: Probability Distribution FunctionsЧтениеStatistics in Data Analysis: Probability Distribution FunctionsВидеоModule 12 Assess Your Learning: Probability Distribution FunctionsЗадание
06Probability Distribution: Joint, Marginal, and Conditional4 материалов

Lesson 1: Joint, Marginal, and Conditional Distributions

Joint, Marginal and Conditional DistributionsЧтениеJoint, Marginal and Conditional DistributionsВидеоExamples: Joint, Marginal and Conditional DistributionsЧтениеModule 13 Assess Your Learning: Joint, Marginal, and Conditional DistributionsЗадание
07Mathematical Expectation and Variable Relationship9 материалов

Lesson 1: Mathematical Expectation

Mathematical ExpectationЧтениеMathematical ExpectationВидеоMathematical Expectation Pt 2ВидеоExample: Mathematical ExpectationЧтение

Lesson 2: Covariance and Correlation

Covariance and CorrelationЧтениеCovariance and CorrelationВидеоModule 14 Assess Your Learning: Covariance and CorrelationЗаданиеCourse ConclusionЧтениеCongratulations! Чтение