Big Data Analytics and Predictive Models
( 25 Modules )

Module #1
Introduction to Big Data Analytics
Overview of big data, importance, and applications in various industries

Module #2
Big Data Technologies
Hadoop, Spark, NoSQL databases, and data processing frameworks

Module #3
Data Ingestion and Processing
Data ingestion, processing, and storage using big data technologies

Module #4
Data Visualization
Introduction to data visualization, tools, and best practices

Module #5
Descriptive Analytics
Summary statistics, data profiling, and descriptive analytics techniques

Module #6
Exploratory Data Analysis
Correlation analysis, scatter plots, and exploratory data analysis techniques

Module #7
Predictive Modeling Fundamentals
Introduction to predictive modeling, types, and evaluation metrics

Module #8
Supervised Learning
Regression analysis, logistic regression, and decision trees

Module #9
Unsupervised Learning
Clustering, k-means, and hierarchical clustering

Module #10
Data Preprocessing
Handling missing values, data transformation, and feature scaling

Module #11
Feature Engineering
Feature selection, extraction, and creation techniques

Module #12
Model Evaluation and Selection
Model evaluation metrics, bias-variance tradeoff, and model selection

Module #13
Regression Models
Simple and multiple linear regression, regression assumptions

Module #14
Time Series Analysis
Time series components, stationarity, and forecasting techniques

Module #15
Text Analytics
Text preprocessing, topic modeling, and sentiment analysis

Module #16
Deep Learning Fundamentals
Introduction to deep learning, neural networks, and TensorFlow

Module #17
Neural Networks for Regression
Multilayer perceptrons, backpropagation, and regression applications

Module #18
Neural Networks for Classification
Multiclass classification, softmax output, and classification applications

Module #19
Big Data Analytics Tools
Introduction to big data analytics tools, such as Apache Spark MLlib and H2O

Module #20
Deploying Predictive Models
Model deployment, model serving, and model monitoring

Module #21
Big Data Streaming Analytics
Real-time data processing, Apache Kafka, and Apache Flink

Module #22
Cloud Computing for Big Data
Cloud computing platforms, AWS, Azure, and Google Cloud

Module #23
Big Data Security and Governance
Big data security, privacy, and governance best practices

Module #24
Big Data Analytics Case Studies
Real-world applications and case studies of big data analytics

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Big Data Analytics and Predictive Models career

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Big Data Analytics and Predictive Models ( 25 Modules )

Big Data Analytics and Predictive Models
( 25 Modules )