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Business and Management
Business Analytics and Technology
Business Analytics
1. Introduction to Business Analytics
2. Foundational Concepts
3. Data Management and Preparation
4. Descriptive Analytics
5. Diagnostic Analytics
6. Predictive Analytics
7. Prescriptive Analytics
8. Analytics Tools and Technologies
9. Business Analytics Applications
10. Implementing Analytics in Organizations
Analytics Tools and Technologies
Spreadsheet Analytics
Advanced Excel Functions
Lookup Functions
VLOOKUP and HLOOKUP
INDEX and MATCH
XLOOKUP
Logical Functions
IF Statements
Nested IF
AND, OR, NOT Functions
Statistical Functions
Descriptive Statistics
Probability Functions
Regression Functions
Array Formulas
Dynamic Arrays
SUMPRODUCT
Array Constants
Data Analysis Tools
Pivot Tables
Data Summarization
Calculated Fields
Pivot Charts
Data Tables
One-variable Data Tables
Two-variable Data Tables
Scenario Manager
What-if Analysis
Scenario Comparison
Optimization Tools
Solver Add-in
Linear Programming
Nonlinear Programming
Integer Programming
Goal Seek
Single Variable Optimization
Target Value Achievement
Database Management and SQL
Database Fundamentals
Relational Database Concepts
Tables, Rows, and Columns
Primary and Foreign Keys
Normalization
Basic SQL Operations
SELECT Statements
WHERE Clauses
ORDER BY and LIMIT
DISTINCT Values
Advanced SQL Queries
Joins
INNER JOIN
LEFT JOIN
RIGHT JOIN
FULL OUTER JOIN
CROSS JOIN
Subqueries
Correlated Subqueries
EXISTS and IN Operators
Common Table Expressions
Aggregate Functions
COUNT, SUM, AVG
MIN and MAX
GROUP BY Clauses
HAVING Clauses
Window Functions
ROW_NUMBER
RANK and DENSE_RANK
LAG and LEAD
Running Totals
Programming Languages
Python for Analytics
Data Manipulation
Pandas DataFrames
Data Cleaning Operations
Merging and Joining
Grouping and Aggregation
Numerical Computing
NumPy Arrays
Mathematical Operations
Linear Algebra
Machine Learning
Scikit-learn
Model Training and Evaluation
Pipeline Creation
Data Visualization
Matplotlib
Seaborn
Plotly
Statistical Analysis
SciPy
Statsmodels
R for Analytics
Data Manipulation
dplyr Package
Data Transformation
Pipe Operator
Data Visualization
ggplot2
Grammar of Graphics
Customization Options
Statistical Modeling
Built-in Statistical Functions
Linear Models
Generalized Linear Models
Machine Learning
caret Package
randomForest Package
e1071 Package
Business Intelligence Platforms
Tableau
Data Connection
Multiple Data Sources
Data Blending
Visualization Creation
Drag-and-drop Interface
Chart Types
Calculated Fields
Dashboard Development
Interactive Elements
Filters and Parameters
Actions and Navigation
Microsoft Power BI
Power Query
Data Transformation
M Language
Data Modeling
Relationships
DAX Formulas
Report Creation
Visualizations
Slicers and Filters
QlikView and Qlik Sense
Associative Data Model
In-memory Processing
Dynamic Associations
Self-Service Analytics
Drag-and-drop Analysis
Natural Language Queries
Cloud Analytics Platforms
Amazon Web Services
Data Storage
Amazon S3
Amazon Redshift
Analytics Services
Amazon EMR
Amazon SageMaker
Amazon QuickSight
Microsoft Azure
Data Services
Azure Data Lake
Azure SQL Database
Azure Synapse Analytics
Machine Learning
Azure Machine Learning
Cognitive Services
Google Cloud Platform
Data Storage and Processing
BigQuery
Cloud Storage
Dataflow
Machine Learning
AI Platform
AutoML
TensorFlow
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9. Business Analytics Applications