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Data Science Fundamentals
Explore key concepts of data analysis, statistics, machine learning, and data visualization.
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Language: English
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What you will learn
Gain a solid understanding of key concepts in data analysis
Learn statistical methods used in data science
Master data visualization techniques to interpret complex data
Understand the importance of data cleaning techniques and how to apply them
Learn how to conduct exploratory data analysis to discover patterns and relationships in data
Gain knowledge on unsupervised learning methods and their applications
Understand the process of evaluation and validation in machine learning
Learn various supervised learning techniques used in machine learning
Introduction to machine learning and its significance in data science
Gain expertise in regression analysis and its applications
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Course Content
Data Analysis Essentials
Data Cleaning Techniques
Exploratory Data Analysis
Statistical Methods
Introduction to Statistical MethodsIntroduction to Statistical Methods
Descriptive StatisticsDescriptive Statistics
Inferential StatisticsInferential Statistics
Data Visualization Techniques
Introduction to Data VisualizationIntroduction to Data Visualization
Types of Data VisualizationTypes of Data Visualization
Principles of Effective VisualizationPrinciples of Effective Visualization
Tools for Data VisualizationTools for Data Visualization
Statistical Foundations
Descriptive Statistics
Measures of Central TendencyMeasures of Central Tendency
Measures of VariabilityMeasures of Variability
Data DistributionsData Distributions
Probability Theory
Introduction to ProbabilityIntroduction to Probability
Probability DistributionsProbability Distributions
Applications of ProbabilityApplications of Probability
Hypothesis Testing
Introduction to Hypothesis TestingIntroduction to Hypothesis Testing
Types of Hypothesis TestsTypes of Hypothesis Tests
Interpreting Hypothesis Testing ResultsInterpreting Hypothesis Testing Results
Regression Analysis
Introduction to RegressionIntroduction to Regression
Simple Linear RegressionSimple Linear Regression
Multiple Linear RegressionMultiple Linear Regression
Assessing Regression ModelsAssessing Regression Models
Machine Learning Basics
Introduction to Machine Learning
Understanding Machine LearningUnderstanding Machine Learning
Types of Machine LearningTypes of Machine Learning
Machine Learning AlgorithmsMachine Learning Algorithms
Supervised Learning Techniques
Linear RegressionLinear Regression
Decision TreesDecision Trees
Support Vector MachinesSupport Vector Machines
Unsupervised Learning Methods
Clustering TechniquesClustering Techniques
Dimensionality ReductionDimensionality Reduction
Anomaly DetectionAnomaly Detection
Association Rule MiningAssociation Rule Mining
Evaluation and Validation in ML
Understanding Evaluation MetricsUnderstanding Evaluation Metrics
Cross-Validation TechniquesCross-Validation Techniques
Model Selection and ValidationModel Selection and Validation
Hyperparameter TuningHyperparameter Tuning
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