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.

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 CPM Search Engine Optimization (SEO) and Analytics two-week course is designed to provide professionals with the essential skills and knowledge to optimize websites for search engines and measure performance using analytics tools. This course covers all aspects of SEO, including on-page and off-page techniques, keyword research, link building, and technical SEO. Additionally, it delves into the use of analytics tools like Google Analytics, Google Search Console, and other key metrics to monitor and improve SEO performance. Participants will learn how to develop and implement effective SEO strategies to enhance website visibility, improve search engine rankings, and drive organic traffic. Practical case studies and hands-on activities will help solidify the course content and equip participants with the necessary tools to analyze SEO performance and make data-driven decisions.

TARGET GROUP

The training is designed for:

• Digital marketing professionals seeking to enhance their SEO skills
• Business owners looking to improve their website's search engine rankings
• Content creators and webmasters who want to optimize their websites for SEO
• Marketing managers responsible for driving organic traffic and improving online visibility
• Anyone looking to develop a career in SEO or digital marketing.

COURSE OBJECTIVES

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

• Understand SEO fundamentals and its importance for improving website visibility and driving organic traffic.
• Conduct thorough keyword research and use SEO tools to find the right keywords for targeting specific audiences.
• Optimize on-page SEO elements, such as title tags, meta descriptions, headers, and content.
• Implement off-page SEO strategies including link-building and social signals.
• Understand technical SEO aspects, including website speed optimization, mobile-friendliness, and site architecture.
• Use Google Analytics and Google Search Console to monitor website performance and track important metrics.
• Analyze SEO data to measure the effectiveness of SEO strategies and make data-driven adjustments.
• Develop a comprehensive SEO strategy to align with business goals, improve rankings, and generate high-quality traffic.
• Optimize for local SEO and understand how to rank in local search results and Google My Business.
• Stay updated on SEO trends and adapt strategies to changes in search engine algorithms.

COURSE OUTLINE

The following units will be discussed

1. Introduction to SEO and Digital Marketing
2. Keyword Research and Strategy
3. On-Page SEO Optimization
4. Technical SEO Essentials
5. Local SEO and Google My Business
6. Off-Page SEO and Link Building
7. Introduction to SEO Analytics and Google Analytics
8. Google Search Console and Performance Monitoring
9. SEO Audits and Competitor Analysis
10. Developing and Executing an SEO Strategy

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 CPM Social Media Integration two-week course is designed for professionals who want to effectively integrate social media strategies with their business operations to improve engagement, reach, and conversion. This course provides a comprehensive understanding of how social media platforms can be leveraged to enhance branding, customer engagement, and marketing efforts. Participants will learn how to create and manage social media campaigns, analyze key metrics, and align social media strategies with overall business goals. The course will cover content creation, community management, and social media tools that can help optimize business results. Real-world case studies will be used to illustrate best practices in social media integration.

TARGET GROUP

The training is designed for:

• Marketing and communications professionals looking to integrate social media into their business strategies
• Social media managers and content creators aiming to enhance their social media strategies
• Entrepreneurs and business owners who want to build their brand presence on social media
• PR professionals who want to understand how to incorporate social media into their communication strategies
• Anyone interested in learning how to leverage social media to boost business success

COURSE OBJECTIVES

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

• Understand the role of social media in modern business operations and its integration into marketing strategies.
• Identify the key social media platforms (Facebook, Instagram, Twitter, LinkedIn, etc.) and determine which ones best suit their business objectives.
• Create effective social media content that aligns with brand identity and resonates with target audiences.
• Integrate social media with business operations including customer service, sales, and internal communication.
• Use social media analytics tools to track engagement, analyze performance, and adjust strategies accordingly.
• Develop a social media marketing plan that aligns with business goals, audience segmentation, and budget.
• Optimize social media advertising to increase visibility and drive conversions.
• Handle crisis communication and reputation management on social media platforms.
• Ensure compliance and security in social media usage, including data privacy and legal considerations

COURSE OUTLINE

The following units will be discussed

1. Introduction to Social Media Integration
2. Social Media Content Creation and Branding
3. Audience Segmentation and Targeting
4. Community Management and Engagement
5. Social Media Advertising and Paid Campaigns
6. Analytics and Performance Measurement
7. Social Media and SEO Integration
8. Crisis Communication and Reputation Management
9. Social Media Integration with Other Business Functions
10. Creating a Social Media Integration Strategy

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.