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Mastering Python for Data Science · LearnSpace
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Mastering Python for Data Science

Курс от Packt
Средний≈ 19.8 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Data Science has become one of the most sought-after fields in today’s data-driven world, and Python stands at its core. This course empowers learners to master the art of data science using Python—one of the most versatile programming languages for analyzing, visualizing, and interpreting data. Through hands-on learning and guided projects, learners will gain the practical skills to clean, manipulate, and analyze data efficiently. The course also explores essential machine learning techniques and visualization tools, enabling professionals to uncover hidden patterns and derive actionable insights. Unlike typical theory-heavy programs, this course bridges the gap between academic knowledge and industry application. It combines conceptual clarity with real-world case studies that reflect how data science operates in business and technology environments. This course is ideal for Python developers, data analysts, and aspiring data scientists seeking to enhance their analytical capabilities. A basic understanding of Python and foundational data science concepts will help learners maximize the course benefits.

Навыки, которые вы освоите

Apache HadoopData MappingMachine Learning AlgorithmsHTML and CSSPandas (Python Package)Statistical MethodsData VisualizationObject Oriented Programming (OOP)Probability & StatisticsMachine Learning MethodsData MiningJavaScript FrameworksBig DataPython ProgrammingData ScienceStatisticsData AnalysisStatistical InferenceRegression AnalysisApplied Machine Learning

Программа курса

12 модулей · 76 учебных материалов

01Getting Started with Raw Data8 материалов

Lesson 1

Course Overview VideoВидеоGetting Started with Raw Data - Overview VideoВидеоIntroductionЧтениеEmpowering Data Analysis with pandasЧтение

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Packt - Course Instructors

Преподаватель курса

Mastering Python for Data Science
В каталоге вашей программы

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Новые знания — в удобное для вас время.

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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 19.8 ч

12 модулей

Язык: Английский

Часть программы вашего университета
Data CleansingЧтение
String OperationsЧтение
Data OperationsЧтение
Foundations of Data Analysis with PythonЗадание
02Inferential Statistics9 материалов

Lesson 1

Inferential Statistics - Overview VideoВидеоIntroductionЧтениеA Poisson DistributionЧтениеA p-valueЧтениеA Confidence IntervalЧтениеPractice: Analyze Statistical Results in ContextDIALOGUECorrelationЧтениеZ-Test vs T-TestЧтениеFoundations of Inferential StatisticsЗадание
03Finding a Needle in a Haystack5 материалов

Lesson 1

Finding a Needle in a Haystack - Overview VideoВидеоIntroductionЧтениеPresenting an AnalysisЧтениеDistribution of Survivors Based on Gender Among Various ClassesЧтениеData Mining Insights and Analysis TechniquesЗадание
04Making Sense of Data through Advanced Visualization7 материалов

Lesson 1

Making Sense of Data through Advanced Visualization - Overview VideoВидеоIntroductionЧтениеBox PlotsЧтениеHeatmapsЧтениеPractice: Choosing the Right Visual StoryDIALOGUEBubble ChartsЧтениеExploring Advanced Data Visualization MethodsЗадание
05Uncovering Machine Learning6 материалов

Lesson 1

Uncovering Machine Learning - Overview VideoВидеоIntroductionЧтениеDecision TreesЧтениеPractice: Choose the Right ML Model for the JobDIALOGUELogistic RegressionЧтениеExploring Machine Learning FoundationsЗадание
06Performing Predictions with a Linear Regression6 материалов

Lesson 1

Performing Predictions with a Linear Regression - Overview VideoВидеоIntroductionЧтениеPractice: Selecting Predictors for a Regression ModelDIALOGUEMultiple RegressionЧтениеTraining and Testing a ModelЧтениеEvaluating Linear Regression ModelsЗадание
07Estimating the Likelihood of Events5 материалов

Lesson 1

Estimating the Likelihood of Events - Overview VideoВидеоIntroductionЧтениеBuilding a ModelЧтениеModel Building and Evaluation with SciKitЧтениеLogistic Regression FundamentalsЗадание
08Generating Recommendations with Collaborative Filtering6 материалов

Lesson 1

Generating Recommendations with Collaborative Filtering - Overview VideoВидеоIntroductionЧтениеPractice: Generate a Recommendation with Collaborative FilteringDIALOGUEThe Pearson Correlation ScoreЧтениеItem-based Collaborative FilteringЧтениеCollaborative Filtering FundamentalsЗадание
09Pushing Boundaries with Ensemble Models4 материалов

Lesson 1

Pushing Boundaries with Ensemble Models - Overview VideoВидеоIntroductionЧтениеHypothesis 6: There is a bias in the income based on occupationЧтениеExploring Ensemble Modeling TechniquesЗадание
10Applying Segmentation with k-means Clustering6 материалов

Lesson 1

Applying Segmentation with k-means Clustering - Overview VideoВидеоIntroductionЧтениеPractice: Prepare Data for K-Means ClusteringDIALOGUEThe K-Means Clustering with CountriesЧтениеDetermining the Number of ClustersЧтениеExploring K-means Clustering TechniquesЗадание
11Analyzing Unstructured Data with Text Mining6 материалов

Lesson 1

Analyzing Unstructured Data with Text Mining - Overview VideoВидеоIntroductionЧтениеPractice: Design a Text Preprocessing PipelineDIALOGUEParts of Speech TaggingЧтениеThe Stanford Named Entity RecognizerЧтениеText Mining FundamentalsЗадание
12Leveraging Python in the World of Big Data8 материалов

Lesson 1

Leveraging Python in the World of Big Data - Overview VideoВидеоIntroductionЧтениеPython MapReduceЧтениеDeploying the MapReduce Code on HadoopЧтениеFile Handling with HadoopyЧтениеPractice: Choosing the Right Big Data ToolDIALOGUEPython with Apache SparkЧтениеBig Data Technologies and Python IntegrationЗадание