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Introduction to Data Analytics · LearnSpace
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Introduction to Data Analytics

Курс от Birla Institute of Technology & Science, Pilani
Средний≈ 55.2 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Welcome to Introduction to Data Analytics! This course will guide you through the essential techniques for working with data, equipping you with skills used by data experts across industries. You’ll explore how to clean and preprocess data using Python libraries like Pandas and NumPy, laying the groundwork for effective data analysis. We’ll dive into exploratory data analysis (EDA), where you’ll uncover hidden patterns and insights. You’ll also be introduced to key machine learning algorithms for predicting outcomes and solving real-world problems. Along the way, we’ll cover best practices for evaluating your models and ensuring their reliability. The course also includes hands-on projects to solidify your learning and practical exercises to apply your skills. By the end, you’ll have a robust toolkit for approaching data-driven challenges confidently, whether you're advancing your career or tackling new opportunities in the data field. Join us on this learning journey!

Навыки, которые вы освоите

Exploratory Data AnalysisDimensionality ReductionData StructuresPandas (Python Package)Data PreprocessingNumPyRegression AnalysisData VisualizationMachine Learning AlgorithmsFeature EngineeringData CleansingAnalyticsData EthicsData AnalysisData ManipulationPython ProgrammingClassification AlgorithmsData ScienceData TransformationUnsupervised Learning

Программа курса

10 модулей · 354 учебных материалов

01Introduction to Data Analytics40 материалов

Course Introduction

Course OverviewЧтениеMeet Your Instructor - Prof. Seetha ParameswaranВидеоMeet Your Instructor - Prof. Aneesh ChivukulaВидеоCourse Introductory VideoВидео

An Overview of Data Analytics

Учитесь у экспертов

BITS Pilani Instructors Group

Преподаватель курса

Introduction to Data Analytics
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 55.2 ч

10 модулей

Язык: Английский

Часть программы вашего университета
Definition of Data AnalyticsВидео
Definition of Data AnalyticsЗадание
The Importance of Data AnalyticsВидео
The Importance of Data AnalyticsЗадание
Key Components Видео
Key Components Задание
Essential Reading: Data Analytics ProcessЧтение

Types of Data Analytics

Descriptive AnalyticsВидеоDescriptive AnalyticsЗаданиеDiagnostic AnalyticsВидеоDiagnostic AnalyticsЗаданиеPredictive AnalyticsВидеоPredictive AnalyticsЗаданиеPrescriptive AnalyticsВидеоPrescriptive AnalyticsЗаданиеEssential Reading: Skills Required and Tools and Technologies Used in Data AnalyticsЧтение

Applications of Data Analytics

Industry Applications ВидеоIndustry Applications ЗаданиеChallenges in Data AnalyticsВидеоChallenges in Data AnalyticsЗаданиеEssential Reading: Use Cases and Applications of Data AnalyticsЧтение

Types of Data and Data Sources

Structured DataВидеоStructured DataЗаданиеUnstructured DataВидеоUnstructured DataЗаданиеSemi-Structured DataВидеоSemi-Structured DataЗаданиеQuantitative DataВидеоQuantitative DataЗаданиеQualitative DataВидеоQualitative DataЗаданиеPrimary and Secondary Data SourcesВидеоPrimary and Secondary Data SourcesЗаданиеInternal and External Data SourcesВидеоInternal and External Data SourcesЗаданиеEssential Reading: Examples of Data and Data SourcesЧтение
02Python Fundamentals43 материалов

Python Basics

Python InterpreterВидеоPython InterpreterЗаданиеJupyter PythonВидеоJupyter PythonЗаданиеInput and PrintВидеоInput and PrintЗаданиеIndentationsВидеоIndentationsЗаданиеEssential Reading: Indentations in PythonЧтениеLesson 1 DemoВидео

Python Semantics

Python Scalar Types ВидеоPython Scalar Types ЗаданиеObjects ВидеоObjects ЗаданиеAttributesВидеоAttributesЗаданиеMethodsВидео

Control Statements and Iterations

Conditional StatementВидеоConditional StatementЗаданиеNested Conditional StatementВидеоNested Conditional StatementЗаданиеFor and While LoopsВидеоFor and While LoopsЗаданиеEssential Reading: Control Statements and Iterations in Python

Functions

Regular FunctionsВидеоRegular FunctionsЗаданиеLambda FunctionsВидеоLambda FunctionsЗаданиеEssential Reading: Handling FunctionsЧтениеLesson 4 DemoВидео

Handling Files

Reading FilesВидеоReading FilesЗаданиеWriting FilesВидеоWriting FilesЗаданиеEssential Reading: Handling FilesЧтениеLesson 5 DemoВидео

Summary and Assessment

Graded Quiz for Week 1 and 2Задание
03Fundamental Data Structures and NumPy in Python36 материалов

Immutable Data Structures

TupleВидеоTupleЗаданиеTuple Methods ВидеоTuple MethodsЗаданиеStringsВидеоStringsЗаданиеAccessing StringsВидеоAccessing StringsЗаданиеEssential Reading: Immutable Data StructuresЧтениеLesson 1 DemoВидео

Mutable Data Structures

Lists ВидеоLists ЗаданиеSlicing ListВидеоSlicing ListЗаданиеList MethodsВидеоList MethodsЗаданиеDictionaryВидео

NumPy

NumPy ArraysВидеоNumPy ArraysЗаданиеNumPy Data TypesВидеоNumPy Data TypesЗаданиеArithmetic with NumPyВидеоArithmetic with NumPyЗаданиеIndexing and Slicing ArraysВидео
04Exploratory Data Analysis (EDA)37 материалов

Pandas Library

Series ВидеоSeries ЗаданиеDataFrameВидеоDataFrameЗаданиеIndexing a DataFrameВидеоIndexing a DataFrameЗаданиеSelection in a DataFrameВидеоSelection in a DataFrameЗаданиеFiltering a DataFrameВидеоFiltering a DataFrameЗаданиеOperations on a DataFrameВидеоOperations on a DataFrameЗаданиеEssential Reading: Pandas LibraryЧтениеLesson 1 DemoВидео

EDA

Descriptive Statistics for Numerical DataВидеоDescriptive Statistics for Numerical DataЗаданиеDescriptive Statistics for Categorical DataВидеоDescriptive Statistics for Categorical DataЗаданиеData Relationship: Correlation and CovarianceВидеоData Relationship: Correlation and CovarianceЗадание

EDA Visualisation Using Matplotlib

Scatter PlotsВидеоScatter PlotsЗаданиеLine PlotsВидеоLine PlotsЗаданиеBar PlotsВидеоBar PlotsЗаданиеHistogramsВидео

Summary and Assessment

Graded Quiz for Week 3 and 4Задание
05Data Cleaning and Preparation40 материалов

Data Quality

Reading Data from Text FormatВидеоReading Data from Text FormatЗаданиеWriting Data to Text FormatВидеоWriting Data to Text FormatЗаданиеData Quality IssuesВидеоData Quality IssuesЗаданиеEssential Reading: Data Quality ЧтениеLesson 1 DemoВидео

Handling Missing Data

Filtering out Missing DataВидеоFiltering out Missing DataЗаданиеFilling in Missing DataВидеоFilling in Missing DataЗаданиеEssential Reading: Handling Missing DataЧтениеLesson 2 DemoВидео

Data Transformations

Removing DuplicatesВидеоRemoving DuplicatesЗаданиеTransforming Data Using MappingВидеоTransforming Data Using MappingЗаданиеReplacing ValuesВидеоReplacing ValueЗаданиеDiscretisation and Binning

Data Aggregation

Split - Apply - CombineВидеоSplit - Apply - CombineЗаданиеSplit StepВидеоSplit StepЗаданиеApply StepВидеоApply StepЗаданиеCombine StepВидео
06Feature Engineering31 материалов

Data Reduction

Dimensionality ReductionВидеоDimensionality ReductionЗаданиеNumerosity ReductionВидеоNumerosity ReductionЗаданиеSampling MethodsВидеоSampling MethodsЗаданиеEssential Reading: Data ReductionЧтение

Feature Selection

Filter MethodsВидеоFilter MethodsЗаданиеCorrelation Based FiltersВидеоCorrelation Based FiltersЗаданиеEntropy-Based FiltersВидеоEntropy-Based FiltersЗаданиеWrapper Methods

Feature Extraction

Covariance AnalysisВидеоCovariance AnalysisЗаданиеPrincipal Component AnalysisВидеоPrincipal Component AnalysisЗаданиеEssential Reading: Feature ExtractionЧтение

Summary and Assessment

Practice Lab: ML EngineeringЛабораторнаяGraded Quiz for Week 5 and 6Задание
07Regression24 материалов

Linear Regression

ApplicationsВидеоApplicationsЗаданиеSimple Linear RegressionВидеоSimple Linear RegressionЗаданиеOrdinary Least Squares RegressionВидеоOrdinary Least Squares RegressionЗаданиеLinear ModelsВидеоLinear ModelsЗаданиеEssential Reading: Linear RegressionЧтение

Regression Fit

Gradient DescentВидеоGradient DescentЗаданиеEvaluation MetricsВидеоEvaluation MetricsЗаданиеModel Selection in RegressionВидеоModel Selection in RegressionЗаданиеEssential Reading: Regression Fit

Nonlinear Regression

Smoothing MethodsВидеоSmoothing MethodsЗаданиеRegularised ModelsВидеоRegularised ModelsЗаданиеNonlinear ModelsВидеоNonlinear ModelsЗаданиеEssential Reading: Nonlinear Regression

Summary and Assessment

Practice Lab: Time SeriesЛабораторная
08Classification38 материалов

Rule Based Models

ApplicationsВидеоApplicationsЗаданиеBinary Classification ВидеоBinary Classification ЗаданиеMulticlass ClassificationВидеоMulticlass ClassificationЗаданиеBuilding Decision Trees - Part 1ВидеоBuilding Decision Trees - Part 1ЗаданиеBuilding Decision Trees - Part 2ВидеоBuilding Decision Trees - Part 2ЗаданиеEssential Reading: Rule Based ModelsЧтение

Decision Tree Induction Algorithms

Design IssuesВидеоDesign IssuesЗаданиеMeasures of Impurity - Part 1ВидеоMeasures of Impurity - Part 1ЗаданиеMeasures of Impurity - Part 2ВидеоMeasures of Impurity - Part 2ЗаданиеEssential Reading: Decision Tree Induction Algorithms

Model Selection in Decision Trees

Cross-ValidationВидеоCross-ValidationЗаданиеOverfittingВидеоOverfittingЗаданиеRandom ForestsВидеоRandom ForestsЗаданиеDecision BoundariesВидео

Parameter Based Models

Logistic RegressionВидеоLogistic RegressionЗаданиеDiscriminant AnalysisВидеоDiscriminant AnalysisЗаданиеClassifier’s Performance Evaluation - Part 1ВидеоClassifier’s Performance Evaluation - Part 1Задание

Summary and Assessment

Practice Lab: Model OptimizationЛабораторнаяGraded Quiz for Week 7 and 8Задание
09Clustering29 материалов

Partitional Clustering

ApplicationsВидеоApplicationsЗаданиеTypes of ClustersВидеоTypes of ClustersЗаданиеTypes of Clustering AlgorithmsВидеоTypes of Clustering AlgorithmsЗаданиеSimilarity MeasuresВидеоSimilarity MeasuresЗаданиеDistance MatrixВидеоDistance MatrixЗаданиеk-Means AlgorithmВидеоk-Means AlgorithmЗаданиеFuzzy C-Means AlgorithmВидеоFuzzy C-Means AlgorithmЗаданиеEssential Reading: Partitional ClusteringЧтение

Hierarchical Clustering

Bottom-Up Agglomerative MethodsВидеоBottom-Up Agglomerative MethodsЗаданиеTop-Down Divisive MethodsВидеоTop-Down Divisive MethodsЗаданиеDistance Measures in Hierarchical MethodsВидеоDistance Measures in Hierarchical MethodsЗадание

Cluster Validation

Aspects of Cluster ValidationВидеоAspects of Cluster ValidationЗаданиеExternal IndicesВидеоExternal IndicesЗаданиеInternal IndicesВидеоInternal Indices ЗаданиеEssential Reading: Cluster Validation
10Ethical Implications36 материалов

Analytics Privacy

Data PrivacyВидеоData PrivacyЗаданиеModel PrivacyВидеоModel PrivacyЗаданиеPrivacy Enhancing StrategiesВидеоPrivacy Enhancing StrategiesЗаданиеEssential Reading: Analytics PrivacyЧтение

Analytics Fairness

Data FairnessВидеоData FairnessЗаданиеModel FairnessВидеоModel FairnessЗаданиеAlgorithmic FairnessВидеоAlgorithmic FairnessЗаданиеEssential Reading: Analytics FairnessЧтение

Analytics Security

Model Security - Part 1ВидеоModel Security - Part 1ЗаданиеModel Security - Part 2ВидеоModel Security - Part 2ЗаданиеCost-Sensitive ClassificationВидеоCost-Sensitive ClassificationЗаданиеCost-Sensitive Learning

Summary and Assessment

Practice Lab: Neural NetworksЛабораторнаяGraded Quiz for Week 9 and 10Задание

Course Wrap-Up

Course SummaryЧтение
MethodsЗадание
OperatorsВидео
OperatorsЗадание
Essential Reading: Operator Precedence and Indentation in PythonЧтение
Lesson 2 DemoВидео
Чтение
Lesson 3 DemoВидео
DictionaryЗадание
SetВидео
Set - Practice QuizЗадание
Set OperationsВидео
Set OperationsЗадание
Essential Reading: Mutable Data StructuresЧтение
Lesson 2 DemoВидео
Indexing and Slicing ArraysЗадание
NumPy FunctionsВидео
NumPy FunctionsЗадание
Essential Reading: NumPy LibraryЧтение
Lesson 3 DemoВидео
Univariate AnalysisВидео
Univariate AnalysisЗадание
Bivariate AnalysisВидео
Bivariate AnalysisЗадание
Essential Reading: EDAЧтение
Lesson 2 DemoВидео
HistogramsЗадание
Essential Reading: EDA Visualisation Using MatplotlibЧтение
Lesson 3 DemoВидео
Видео
Discretisation and BinningЗадание
Encoding Categorical DataВидео
Encoding Categorical DataЗадание
Detecting OutliersВидео
Detecting OutliersЗадание
Filtering OutliersВидео
Filtering OutliersЗадание
Essential Reading: Data TransformationsЧтение
Lesson 3 DemoВидео
Combine StepЗадание
Essential Reading: Data AggregationЧтение
Lesson 4 DemoВидео
Видео
Wrapper MethodsЗадание
Forward SelectionВидео
Forward SelectionЗадание
Backward EliminationВидео
Backward EliminationЗадание
Embedded MethodsВидео
Embedded MethodsЗадание
Mutual InformationВидео
Mutual InformationЗадание
Essential Reading: Feature SelectionЧтение
Чтение
Чтение
Чтение
Decision BoundariesЗадание
Essential Reading: Model Selection in Decision TreesЧтение
Classifier’s Performance Evaluation - Part 2Видео
Classifier’s Performance Evaluation - Part 2Задание
Essential Reading: Parameter Based ModelsЧтение
Essential Reading: Hierarchical ClusteringЧтение
Чтение
Видео
Cost-Sensitive LearningЗадание
Adversarial Data Mining - Part 1 Видео
Adversarial Data Mining - Part 1 Задание
Adversarial Data Mining - Part 2Видео
Adversarial Data Mining - Part 2Задание
Robust Data Mining - Part 1 Видео
Robust Data Mining - Part 1 Задание
Robust Data Mining - Part 2Видео
Robust Data Mining - Part 2Задание
Adversarial and Robust Data MiningВидео
Adversarial and Robust Data MiningЗадание
Essential Reading: Analytics SecurityЧтение