COURSE INFORMATION

Scheduled Dates:   17 – 21 Feb 2025 | 19 – 23 May 2025 | 18 – 22 Aug 2025 |17 – 21 Nov 2025

Duration: 2 Weeks

Customized dates and one-on-one sessions can be organized.

PREAMBLE

The CPM STATA for Data Analysis one-week course is designed to equip participants with the practical skills needed to use STATA, a powerful statistical software package, for data analysis and management. This course covers the fundamentals of STATA, including importing and cleaning data, performing descriptive and inferential statistical analysis, and creating visualizations. Participants will learn how to write and execute commands in STATA, conduct various statistical tests, and interpret results in the context of real-world research or business problems. This course is suitable for beginners or those looking to expand their knowledge of STATA for data analysis tasks in economics, social sciences, health research, and other fields.

TARGET GROUP

The training is designed for:

• Researchers, analysts, and professionals who need to conduct statistical analysis on data.
• Graduate students and academic researchers in social sciences, economics, public health, and other data-driven fields.
• Anyone interested in learning STATA for data analysis, including beginners with no prior experience in statistics.
• Professionals working in data science, market research, or any field that requires statistical analysis and reporting.

COURSE OBJECTIVES

By the end of the training, participants will be able to:

• Navigate the STATA interface and understand its key components.
• Import, clean, and manage data in STATA from different sources (e.g., Excel, CSV, databases).
• Perform descriptive statistics to summarize and explore datasets.
• Conduct inferential statistical tests, including t-tests, ANOVA, chi-square tests, and regressions.
• Visualize data through histograms, box plots, scatter plots, and other graphics in STATA.
• Generate and manipulate variables for more complex analyses.
• Write and execute do-files for automating data analysis tasks.
• Interpret and communicate results from statistical analyses in a clear and concise manner.

COURSE OUTLINE

The following units will be discussed

1. Introduction to STATA and Data Management
2. Descriptive Statistics and Data Exploration
3. Inferential Statistics
4. Regression Analysis
5. Automating Analysis and Advanced Topics

REGISTRATION

 To register, kindly fill the Seminar Registration Form and send it to us through:

Email: This email address is being protected from spambots. You need JavaScript enabled to view it. , This email address is being protected from spambots. You need JavaScript enabled to view it.

TERMS AND CONDITIONS OF PAYMENT

1. Fees Payment - All fees are payable strictly in advance 2 working days before the course starting date.
2. Cancellation Fee - Cancellation of any participant 5 working days before the start day of a course will incur a 20% cancellation fee.
   We regret that no cancellations will be accepted within 2 working days of a course, but substitutions may be made.

COURSE INFORMATION

Scheduled Dates:  03 – 14 Feb 2025 | 05 – 16 May 2025 | 04 – 15 Aug 2025 | 03 – 13 Nov 2025

Duration: 2 Weeks

Customized dates and one-on-one sessions can be organized.

PREAMBLE

The Office Computer Skills two-week course is designed to provide participants with comprehensive knowledge and practical skills for effectively using office productivity software, including word processing, spreadsheets, presentations, and email management. The course covers popular office software applications such as Microsoft Word, Excel, PowerPoint, and Outlook, focusing on essential functions and features. Participants will learn how to perform basic and advanced tasks, optimize workflows, create professional documents and presentations, and manage information efficiently. This course is perfect for professionals looking to improve their computer skills for workplace productivity, efficiency, and communication.

TARGET GROUP

The training is designed for:

• Beginners and intermediate users of Microsoft Office who want to improve their computer skills for workplace efficiency.
• Administrative assistants, office managers, and professionals who regularly use office productivity software.
• Small business owners, students, and job seekers looking to enhance their computer skills for career advancement.
• Anyone looking to develop a deeper understanding of office tools and enhance overall productivity.

COURSE OBJECTIVES

By the end of the training, participants will be able to:

• Master essential features of Microsoft Office software (Word, Excel, PowerPoint, and Outlook).
• Create and format professional documents in Microsoft Word, including using templates, styles, and advanced formatting techniques.
• Efficiently manage data using Microsoft Excel, including formulas, functions, and creating charts.
• Design visually appealing and effective presentations in Microsoft PowerPoint, using templates, animations, and multimedia elements.
• Effectively manage email and calendars in Microsoft Outlook, including organizing messages, setting appointments, and using advanced features.
• Improve productivity and time management using various tips and techniques to streamline tasks and workflows across Microsoft Office applications.
• Apply collaboration tools within Microsoft Office for document sharing, real-time collaboration, and communication.

COURSE OUTLINE

The following units will be discussed

1. Introduction to Office Productivity Software
2. Microsoft Word - Basic Functions and Formatting
3. Microsoft Word - Advanced Features
4. Microsoft Excel - Introduction to Spreadsheets
5. Microsoft Excel - Intermediate Functions and Analysis
6. Microsoft PowerPoint - Creating Effective Presentations
7. Microsoft PowerPoint - Advanced Presentation Techniques
8. Microsoft Outlook - Email Management
9. Microsoft Outlook - Advanced Features and Collaboration
10. Time Management and Office Productivity Tips

REGISTRATION

 To register, kindly fill the Seminar Registration Form and send it to us through:

Email: This email address is being protected from spambots. You need JavaScript enabled to view it. , This email address is being protected from spambots. You need JavaScript enabled to view it.

TERMS AND CONDITIONS OF PAYMENT

1. Fees Payment - All fees are payable strictly in advance 2 working days before the course starting date.
2. Cancellation Fee - Cancellation of any participant 5 working days before the start day of a course will incur a 20% cancellation fee.
   We regret that no cancellations will be accepted within 2 working days of a course, but substitutions may be made.

COURSE INFORMATION

Scheduled Dates:   06 – 17 Jan 2025 | 07 – 18 Apr 2025 | 07 – 18 Jul 2025 | 06 – 17 Oct 2025

Duration: 2 Weeks

Customized dates and one-on-one sessions can be organized.

PREAMBLE

The Utility Network Data Modeling in GIS two-week course is designed to provide participants with the essential skills required to model, manage, and analyze utility networks within a Geographic Information System (GIS) environment. This course covers the fundamentals of utility network data modeling, with a focus on how to build and manage utility networks for water, electricity, gas, and telecommunications using ArcGIS and other GIS platforms. Participants will learn how to structure and organize utility network data, create network topology, perform network analysis, and visualize network performance. The course will also explore the integration of utility networks with real-time data and the best practices for maintaining network models. 

TARGET GROUP

The training is designed for:

• GIS professionals and analysts who wish to expand their knowledge into utility network data modeling.
• Utility engineers and planners responsible for managing and optimizing utility networks.
• Asset management professionals working with utility infrastructure.
• Individuals interested in integrating GIS with utility network management and analysis.
• Utility service providers seeking to improve network design, maintenance, and performance through GIS.

COURSE OBJECTIVES

By the end of the training, participants will be able to:

• Understand the basics of utility networks and their applications in GIS.
• Create and manage utility network data models using ArcGIS Utility Network Designer.
• Build and configure utility network topology for different utilities (water, gas, electricity).
• Perform network analysis to optimize operations, including connectivity, flow analysis, and asset management.
• Integrate utility network data with real-time monitoring systems for up-to-date information.
• Work with schema and data models for utilities in GIS and apply these models to real-world situations.
• Maintain and update utility network data for ongoing use and long-term accuracy.
• Use utility network data for decision-making in planning, operational, and maintenance activities.
• Visualize utility network data for analysis and reporting using mapping and GIS tools.

COURSE OUTLINE

The following units will be discussed

1. Introduction to GIS for Utility Networks
2. Setting Up Utility Network Data Models
3. Building Utility Network Topology
4. Managing Utility Network Attributes and Schema
5. Configuring Utility Network Layers and Data Sources
6. Network Analysis and Connectivity in Utility Networks
7. Advanced Network Analysis Techniques
8. Real-Time Data Integration and Monitoring
9. Best Practices for Maintaining and Updating Utility Networks

REGISTRATION

 To register, kindly fill the Seminar Registration Form and send it to us through:

Email: This email address is being protected from spambots. You need JavaScript enabled to view it. , This email address is being protected from spambots. You need JavaScript enabled to view it.

TERMS AND CONDITIONS OF PAYMENT

1. Fees Payment - All fees are payable strictly in advance 2 working days before the course starting date.
2. Cancellation Fee - Cancellation of any participant 5 working days before the start day of a course will incur a 20% cancellation fee.
   We regret that no cancellations will be accepted within 2 working days of a course, but substitutions may be made.

COURSE INFORMATION

Scheduled Dates:   10 – 14 Feb 2025 | 12 – 16 May 2025 | 11 – 15 Aug 2025 | 10 – 14 Nov 2025

Duration: 2 Weeks

Customized dates and one-on-one sessions can be organized.

PREAMBLE

The CPM Power BI, Data Analytics, and Management one-week course is designed to equip professionals with the skills necessary to effectively analyze and visualize data using Power BI. This hands-on course covers the essential techniques of data analysis, reporting, and visualization, with a focus on leveraging Power BI to transform data into actionable insights for decision-making. Participants will gain practical experience in data management, cleaning, and modeling, as well as learn how to create interactive dashboards and reports. Additionally, the course introduces the principles of data-driven decision-making and how to manage and communicate data insights effectively across organizations.

TARGET GROUP

The training is designed for:

• Business analysts, data analysts, and professionals involved in data-driven decision-making.
• Project Managers and Monitoring and Evaluation Managers.
• Managers and team leaders who want to improve reporting and performance tracking.
• IT professionals looking to gain expertise in business intelligence tools.
• Anyone interested in learning how to use Power BI for data analysis and reporting.

COURSE OBJECTIVES

By the end of the training, participants will be able to:

• Understand the fundamentals of cloud computing, including its definition, benefits, and impact on business operations.
• Explore different cloud models (public, private, hybrid) and determine which model suits enterprise needs.
• Identify cloud service providers (AWS, Microsoft Azure, Google Cloud, etc.) and compare their offerings for enterprise use.
• Learn about cloud services including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), and understand how these can benefit enterprises.
• Implement cloud strategies for cost optimization, resource scaling, and performance monitoring in enterprise environments.
• Understand cloud security best practices, including data protection, identity management, and disaster recovery.
• Integrate cloud technologies into enterprise IT systems and business operations to improve flexibility and efficiency.
• Explore real-world cloud computing case studies and understand how organizations from various sectors are leveraging cloud solutions to innovate and stay competitive.

COURSE OUTLINE

The following units will be discussed

1. Connecting to Data Sources
2. Collection of Data Streams
3. Data Transformation
4. Modelling and Table Relationship
5. DAX Functions
6. Data Analytics
7. Data Visualization and Charts (Power View)
8. Building and Sharing a Dashboard
9. Data Security in Power BI
10. Publishing and Sharing 
11. Analyzing Data with Power Bi

REGISTRATION

 To register, kindly fill the Seminar Registration Form and send it to us through:

Email: This email address is being protected from spambots. You need JavaScript enabled to view it. , This email address is being protected from spambots. You need JavaScript enabled to view it.

TERMS AND CONDITIONS OF PAYMENT

1. Fees Payment - All fees are payable strictly in advance 2 working days before the course starting date.
2. Cancellation Fee - Cancellation of any participant 5 working days before the start day of a course will incur a 20% cancellation fee.
   We regret that no cancellations will be accepted within 2 working days of a course, but substitutions may be made.