Course Description
Training Methodology
1) Training setting: to ensure maximum flexibility possible that enable our trainees to pursue their career and personal objectives we offer trainings in: on-primes setting as well as virtual interactive sessions
2) Learning experience: This course will be highly interactive, with a mix of theory, including practical sessions. You will have the opportunity to learn by doing and share your experience, and you will develop your skills through a series of assignments and Projects.
3) Up-to-date content: that is precisely chosen by a team of technical experts and is continuously revised for enhancement and coping with technology trends.
4) Hands–on training: form industry experts, you’ll learn how to harness the power of Ai to automate data analysis tasks, build predictive models, and unlock new opportunities for your business
Why Study Data Analysis?
- Increase the Awareness of data analysis techniques using excel & Business Intelligent Solution [Power BI]
- Perform Data Transformation to explain how findings from data can and should be visualized, to enable stakeholders to make sound business decisions
- Develop data modeling and DAX to manipulate relevant data and deeply analyzes it by applying appropriate techniques to appropriately answer business questions
- Advance Data Visualizations techniques in Excel & Power BI to enhance stakeholder Involvement in Decision Making.
- Build the confidence in influencing business decisions through Data Driven decisions.
- Build a career in one of the most in-demand fields.
- Excel your knowledge and expertise and get ready for career development in one diploma.
- Get prepared for obtaining international data analyst certification.
- Business owners/ executives/ CEO will be able to read and request the right reports that help them with multifunction decision making.
- Get acquainted with the data literacy concepts as well as the statistical analysis terms and their application with Excel and Power BI
- Walking you through storytelling with data journey to become an efficient storyteller, and its application to two of the most frequently used tools.
- Building the capacity to differentiate corporate data according to type, dynamism, structure, and storage, which puts you on track with building organization data strategy.
- Providing you with the ability to discuss different analysis and analytics techniques and which best suits your goal/ research question as well as perfectly utilize existing data.
Who Should Attend?
This diploma is designed for:
- Professionals who seek to build a career in one of the most in-demand fields.
- Professionals who wish to gain an understanding of the benefits and uses of data analysis and the techniques applied using Excel, Power BI and the latest innovation Ai Driven techniques when analyzing business data, in order to improve their analytical skills and understanding of data.
- Professionals who seek to enhance their analysis capabilities and pursue an analyst or data visualization developer career.
- Data analysts who want to expand their skillset and learn how to use Ai-driven techniques to extract insights from data
- Business Professionals, business analysts, data analysts, finance professionals, marketing and sales professionals, HR professionals, IT professionals, administrative staff, supervisors, general business professionals, and staff from any function who need to learn and apply data analysis techniques to their daily business reporting and decision making.
This Diploma Prepares Trainees to Pursue Their Careers As:
- Data analyst.
- Business intelligence specialist.
- Performance and reporting analyst.
- Data visualization specialist.
- Marketing analyst.
- Reporting specialist.
- Program analyst.
Diploma Objectives:
Data Literacy.
- Define data, and illustrate different data types
- Introduce data analysis and analytics techniques, along with their usage and prerequisites.
- enable you to participate in organization data strategy formulation.
- Introduce Powerful Ai techniques that can be applied using Excel and power Ai
Descriptive Statistics
- Understanding descriptive statistics and its underneath approaches.
- Illustrate calculation techniques
- Explain how to read and interpret descriptive statistics for any data set
- Examine data for any issues (outlier, skewness, ..etc.)
Story Telling with Data.
- define a data story, How does it differ from data visual?
- How to formulate a professional data story?
- What are the best practices with data visuals?
- How to evaluate your data visual with the help of a checklist?
- How to enhance your data visual?
- What are the best dashboard layouts?
Data Analysis Using Excel
- Apply newly acquired skills to datasets using Excel to create professional dashboard, for that end you will learn:
- Connect, Transform, and Load Data Using Power Query
- Enhance Data Modeling
- Build Data Analysis Expression [DAX] in Excel
- Mastering Data Visualization in Excel & Creating Dynamic
Data Analysis Using Power BI:
- Leverage acquired skills that you have already applied in Excel to one of the most demanded tools, for that end you will:
- Understand The Concept Of Business Intelligent Solutions
- Connect, Transform, and Load Data Using Power BI
- Working With DAX and Advanced DAX Measures
Capstone Project Details
- This project is designed to give you the chance to implement and practice all the skills, knowledge and expertise you have gained throughout this diploma.
- You will have the full opportunity to work on real-world business problems, research questions, and leverage your knowledge as well as instructors guidance to put these in practice.
- From the problem statement, data preparation, processing, connection, transformation to reporting business insights with the proper visuals. The resulting interactive dashboard will have the chance to be evaluated with a unified checklist that gives learners equal opportunity to be recognized on our leaders board.
- Learners shall be invited on demonstration day to present and showcase their newly gained skills put into practice with informed decisions being proposed after successfully preparing data for creating insightful and efficient dashboard.
Gradation Certificate Criteria
Certificate Of Completion
- To have successfully completed; a trainee should: have an attendance rate of not less than 80% (or such higher attendance requirement as prescribed for the course).
- Pass the required Pre-assignments and practical assignment in at least 75% as The Below details Pass the capstone projects in at least 80% of the total number of assignments as required in each training course.
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