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Schedule

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Dubai	November 16, 2025	November 20, 2025	5

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Goals

Understanding the basics of data science and its role in improving public services.

Learn Python and use data analysis libraries like Pandas and NumPy.

Import data from multiple sources and prepare it for analysis.

Perform exploratory analysis (EDA) and discover patterns.

Applying predictive analytics and machine learning to understand future trends.

Developing interactive data visualizations using Matplotlib and Seaborn.

Building analytical models that help in planning and decision-making.

Preparing interactive analytical reports that support institutional development processes.

Introduction to Data Science

The importance of data analysis in improving services.

The role of data in supporting planning and development processes.

Data sources and mechanisms for utilizing them.

Understanding the role of data analysts in enhancing institutional performance.

Python Basics for Data Analysis

Learn about the Python environment and data analysis tools.

Work with Jupyter Notebook to perform analyses.

Manage variables and different data types.

Perform arithmetic and logical operations on data.

Data Import and Cleanse

Load data from Excel, CSV, SQL, etc.

Process incomplete data and correct errors.

Remove outliers and improve data quality.

Format data to ensure accurate analysis.

Exploratory Analysis (EDA)

Preliminary data analysis and trend identification.

Use Pandas and NumPy to extract statistics.

Discover relationships between different variables.

Provide a comprehensive summary of the data to aid decision making.

Data Visualization with Python

Build charts using Matplotlib and Seaborn.

Customize visualizations and add interactivity.

Create visual reports that illustrate trends and performance.

Present data in a way that's easy for decision makers to understand.

Predictive Analysis Using Machine Learning

Introduction to Machine Learning.

Implement classification and regression algorithms.

Evaluate models and improve prediction accuracy.

Use Scikit-Learn to build and analyze models.

Time Data Analysis and Future Forecasts

Manipulate time series to understand long-term changes.

Forecast trends using ARIMA and Facebook Prophet.

Analyze data related to strategic planning.

Deliver solutions based on data-backed forecasts.

The role of data analysis in improving institutional performance

Using data to improve the quality of services.

Developing performance indicators based on actual data.

Measuring the overall impact of various projects and initiatives.

Providing analytical reports that support future development plans.

Interactive Reporting and Data Visualization

Use Python to generate automated analytical reports.

Design interactive dashboards using Streamlit.

Export data and reports to PDF, Excel, PowerPoint.

Deliver demonstrations to decision makers to enhance understanding of results.

Certificate

Upon full attendance of this training course, participants will receive an accredited certificate issued by Al Manhal Institute, which is licensed by the Abu Dhabi Center for Technical and Vocational Education and Training. This certificate is regionally recognized, providing holders with a competitive advantage both within their organizations and when seeking new career opportunities.

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Data Science and Data Analysis Using Python

Schedule

Goals

Contents

Introduction to Data Science

Python Basics for Data Analysis

Data Import and Cleanse

Exploratory Analysis (EDA)

Data Visualization with Python

Predictive Analysis Using Machine Learning

Time Data Analysis and Future Forecasts

The role of data analysis in improving institutional performance

Interactive Reporting and Data Visualization

Certificate

Certificate

Extra Options

Introduction to Data Science

Python Basics for Data Analysis

Data Import and Cleanse

Exploratory Analysis (EDA)

Data Visualization with Python

Predictive Analysis Using Machine Learning

Time Data Analysis and Future Forecasts

The role of data analysis in improving institutional performance

Interactive Reporting and Data Visualization