Data-Driven Business Analytics
( 25 Modules )

Module #1
Introduction to Data-Driven Business Analytics
Overview of data analytics in business, importance of data-driven decision making, and course objectives

Module #2
Foundations of Business Analytics
Defining business analytics, types of business analytics, and key concepts

Module #3
Data Preparation and Cleaning
Overview of data preparation, data quality issues, and data cleaning techniques

Module #4
Data Visualization Fundamentals
Introduction to data visualization, types of visualizations, and best practices

Module #5
Descriptive Analytics
Summary statistics, data summarization, and exploratory data analysis

Module #6
Inferential Statistics
Hypothesis testing, confidence intervals, and statistical significance

Module #7
Regression Analysis
Simple and multiple regression, regression assumptions, and model interpretation

Module #8
Time Series Analysis
Introduction to time series, time series components, and forecasting techniques

Module #9
Data Mining Concepts
Overview of data mining, types of data mining, and data mining process

Module #10
Decision Trees and Random Forest
Introduction to decision trees, random forest, and model evaluation metrics

Module #11
Clustering and Association Rule Mining
Introduction to clustering, k-means clustering, and association rule mining

Module #12
Text Analytics and Sentiment Analysis
Introduction to text analytics, text preprocessing, and sentiment analysis

Module #13
Machine Learning Fundamentals
Introduction to machine learning, supervised and unsupervised learning, and model evaluation metrics

Module #14
Neural Networks and Deep Learning
Introduction to neural networks, deep learning, and applications

Module #15
Big Data Analytics
Introduction to big data, Hadoop ecosystem, and Spark

Module #16
Data Governance and Ethics
Importance of data governance, data ethics, and data privacy

Module #17
Business Analytics Tools and Technologies
Overview of business analytics tools, Excel, Tableau, Power BI, and R

Module #18
Case Studies in Business Analytics
Real-world applications of business analytics in various industries

Module #19
Communication and Storytelling with Data
Effective communication of insights, data storytelling, and presentation techniques

Module #20
Business Analytics in Operations
Applying business analytics in operations, supply chain management, and process optimization

Module #21
Business Analytics in Marketing
Applying business analytics in marketing, customer segmentation, and campaign optimization

Module #22
Business Analytics in Finance
Applying business analytics in finance, risk management, and portfolio optimization

Module #23
Business Analytics in Human Resources
Applying business analytics in HR, workforce planning, and talent acquisition

Module #24
Implementing Business Analytics in Organizations
Change management, organizational design, and implementing business analytics

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Data-Driven Business Analytics career

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Data-Driven Business Analytics ( 25 Modules )

Data-Driven Business Analytics
( 25 Modules )