Data-Driven Decision Making

4.

Tools and Technologies

4.1.

Data Storage and Management

4.1.1.

Database Systems

4.1.1.1.

Relational Databases

4.1.1.1.1.

SQL Fundamentals

4.1.1.1.2.

Database Design

4.1.1.1.3.

Query Optimization

4.1.1.2.

NoSQL Databases

4.1.1.2.1.

Document Stores

4.1.1.2.2.

Key-Value Stores

4.1.1.2.3.

Graph Databases

4.1.1.2.4.

Column-Family Stores

4.1.2.

Data Warehousing

4.1.2.1.

Data Warehouse Architecture

4.1.2.2.

4.1.2.3.

4.1.2.4.

Star and Snowflake Schemas

4.1.3.

Big Data Technologies

4.1.3.1.

Hadoop Ecosystem

4.1.3.1.1.

4.1.3.1.2.

4.1.3.1.3.

4.1.3.1.4.

4.1.3.2.

4.1.3.2.1.

4.1.3.2.2.

4.1.3.2.3.

4.1.3.2.4.

Spark Streaming

4.1.4.

Cloud Data Platforms

4.1.4.1.

4.1.4.2.

Data Lakehouses

4.1.4.3.

Serverless Computing

4.2.

Programming Languages and Environments

4.2.1.

Python for Data Analysis

4.2.1.1.

Data Manipulation with Pandas

4.2.1.2.

Numerical Computing with NumPy

4.2.1.3.

Statistical Analysis with SciPy

4.2.1.4.

Machine Learning with Scikit-learn

4.2.1.5.

Deep Learning with TensorFlow and PyTorch

4.2.1.6.

Data Visualization with Matplotlib and Seaborn

4.2.2.

R for Statistical Computing

4.2.2.1.

Data Manipulation with dplyr

4.2.2.2.

Data Visualization with ggplot2

4.2.2.3.

Statistical Modeling

4.2.2.4.

Time Series Analysis

4.2.2.5.

Machine Learning with caret

4.2.3.

SQL for Data Querying

4.2.3.1.

Basic SQL Operations

4.2.3.2.

Advanced SQL Techniques

4.2.3.3.

Window Functions

4.2.3.4.

Common Table Expressions

4.3.

Business Intelligence and Visualization Tools

4.3.1.

4.3.1.1.

Data Connection and Preparation

4.3.1.2.

Dashboard Creation

4.3.1.3.

Advanced Visualizations

4.3.1.4.

Calculated Fields and Parameters

4.3.2.

4.3.2.1.

4.3.2.2.

Report Building

4.3.2.3.

4.3.2.4.

4.3.3.

4.3.3.1.

4.3.3.2.

QlikView and QlikSense

4.3.3.3.

Google Data Studio

4.4.

Cloud Computing Platforms

4.4.1.

Amazon Web Services

4.4.1.1.

Data Storage Services

4.4.1.2.

Analytics Services

4.4.1.3.

Machine Learning Services

4.4.1.4.

Data Pipeline Tools

4.4.2.

Microsoft Azure

4.4.2.1.

Azure Data Factory

4.4.2.2.

Azure Synapse Analytics

4.4.2.3.

Azure Machine Learning

4.4.2.4.

Power Platform Integration

4.4.3.

Google Cloud Platform

4.4.3.1.

4.4.3.2.

4.4.3.3.

4.4.3.4.

4.5.

Specialized Analytics Tools

4.5.1.

Statistical Software

4.5.1.1.

4.5.1.2.

4.5.1.3.

4.5.2.

Data Mining Tools

4.5.2.1.

4.5.2.2.

4.5.2.3.

4.5.3.

Workflow Management

4.5.3.1.

4.5.3.2.

4.5.3.3.

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5. Organizational Implementation and Strategy