ADVANCED TECHNICAL DATA COLLECTION, ANALYSIS AND REPORTING COURSE(DCAR-II)
30TH OCT – 3RD NOVEMBER 2023 BLISS BEACH HOTEL – NYALI MOMBASA

Course Overview
We now live in a data-driven world, and this trend will continue tomorrow and into the future. Consequently, having a data analytics strategy in place is crucial. Data now serves as a key performance indicator for organizations. It enables companies to have greater consumer comprehension, more effective advertising, and enhanced customer service. The topic of data analytics is very diverse and encompasses a wide range of objectives, strategies and methods. Having such plans, organizations can achieve the following benefits much easier and faster than if they did not have data acquisition and management strategies.
• Cost Reduction
• Enhanced decision makings peed
• Development and Promotion of New Services and Products
• Boosting Efficiency
• Making Effective decision based on evidence
• Increased Market Dominance
• Improved Innovations
All these and many more benefits can be achieved by having relevant officers attend this course and explore cutting-edge techniques and tools to harness the power of data for informed decision-making.

Main Course Aim
The course aims at:
• Equipping participants with the knowledge and skills necessary to excel in the field of technical data collection, analysis, and reporting while promoting ethical and responsible data practices.
• Empowering participants with the knowledge and skills needed to excel in data-centric roles and make meaningful impact in their career.

Course Objectives
1. Advanced Data Collection Techniques: Teach participants to employ cutting-edge methods for data collection, including sensor technologies, IoT devices, web scraping, and more.
2. Data Preparation and Cleaning: Equip students with the skills to preprocess and clean complex datasets, handling missing data, outliers, and data transformation effectively.
3. Statistical Analysis Mastery: Provide an in-depth understanding of advanced statistical techniques, such as hypothesis testing, regression analysis, and time series analysis, enabling participants to draw meaningful insights from data.
4. Machine Learning Proficiency: Introduce machine learning concepts and algorithms, allowing participants to apply them to data analysis tasks, predictive modeling, and classification.
5. Data Visualization Expertise: Develop data visualization skills using industry-standard tools, empowering students to create informative and visually appealing data reports, dashboards, and presentations.
6. Ethical Data Practices: Instill an awareness of ethical considerations in data collection and analysis, covering privacy, security, and responsible data handling.
7. Effective Reporting and Communication: Teach participants how to communicate data findings effectively to technical and non-technical audiences through clear and persuasive reports, presentations, and dashboards.
8. Practical Application: Offer opportunities for hands-on experience through real-world data analysis projects, enabling students to apply their knowledge to solve practical data challenges.
9. Critical Thinking and Problem-Solving: Foster critical thinking skills, encouraging participants to analyze complex problems and devise data-driven solutions.
10. Data-Driven Decision-Making: Promote the use of data to inform decision-making processes, helping participants become more strategic and effective in their roles.
11. Career Advancement: Provide participants with the skills and confidence needed to pursue advanced roles in data analysis, reporting, and related fields.
12. Professional Certification: Prepare students for certification in advanced data analysis and reporting, validating their expertise and enhancing their career prospects.

Booking and Registration
1. CONFIRMATION OF ATTENDANCE AT THIS EVENT SHOULD BE DONE AS SOON AS POSSIBLE TO FACILITATE GOOD PLANNING. TO REACH US ON OR BEFORE 27TH OCTOBER 2023
2. COMPLETE, SCAN AND EMAIL YOUR REGISTRATION FORM TO: 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.
3. FOR FURTHER ENQUIRIES, CALL MR. KEYA / MILKA ON 020-266 31 20 | 0 306722-78 69 10 | 0715-339 306