Day One: Fundamentals of Data Analysis on Google Cloud

The Importance of Cloud Analytics for Business

• Understanding the role of cloud computing in improving data accessibility and effective analysis.
• Linking cloud analytics with the organization’s strategic objectives.
• Recognizing the added value of using Google Cloud tools for data analysis.

Data Collection and Preparation on Google Cloud

• Identifying cloud data sources and how to access them.
• Cleaning and organizing data to ensure analytical accuracy.
• Classifying key variables to extract meaningful insights.

Introduction to Google Cloud Analytics Tools

• Overview of tools such as BigQuery, Data Studio, and Cloud Storage.
• Understanding how to upload data and connect multiple sources.
• Exploring raw data and analyzing key indicators.

Day Two: Advanced Cloud Data Analysis

Big Data Analysis on Google Cloud

• Using Google Cloud tools to uncover important patterns and trends.
• Analyzing relationships between different variables.
• Simplifying complex processes to achieve fast and accurate results.

Forecasting and Future Trend Analysis

• Building predictive models using Google Cloud data analytics.
• Identifying future opportunities and risks based on analysis.
• Designing scenarios to improve performance and support better decisions.

Automation of Cloud Analytics

• Creating recurring analytical processes using Google Cloud tools.
• Improving the speed and accuracy of extracting insights from big data.
• Integrating data from multiple sources to provide a comprehensive management view.

Day Three: Transforming Cloud Analytics into Actionable Strategies

Formulating Actionable Strategic Recommendations

• Transforming cloud analysis results into practical decision-making insights.
• Providing recommendations to improve organizational performance based on data.
• Prioritizing initiatives and projects based on analytical outcomes.

Integrating Cloud Analytics into Daily Operations

• Using analytics to enhance daily and strategic decision-making.
• Strengthening adaptability to changes in data and market conditions.
• Supporting resource allocation and initiatives based on cloud analytics.

Preparing Clear Cloud-Based Analytical Reports

• Presenting results clearly and understandably to senior management.
• Highlighting key patterns, trends, and actionable recommendations.
• Documenting analysis to ensure performance tracking and continuous improvement.