Turn Data into Insight – Master the Tools to Make Smarter Business Decisions
This course is designed to equip you with the essential skills to collect, analyze, visualize, and interpret data effectively. Whether you’re a beginner or transitioning into the data field, you’ll learn how to make data-driven decisions using industry-standard tools such as Excel, Power BI, and Python (optional).
Through real-world case studies and hands-on practice, you’ll gain the ability to uncover hidden patterns, create compelling dashboards, and tell meaningful stories with data. Ideal for professionals, students, and entrepreneurs looking to enhance their analytical thinking.
Course Features
- Lecture 0
- Quiz 0
- Duration 30 Hours
- Skill level All levels
- Language Arabic - English
- Students 0
- Assessments Self
- 2 Sections
- 0 Lessons
- Lifetime
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- Course ObjectivesBy the end of this course, participants will be able to: Understand the data analytics lifecycle and its key concepts Clean, organize, and process raw data effectively Use Excel and Power BI to analyze and visualize data Interpret trends and patterns to support business decisions Create interactive dashboards and performance reports Apply basic data storytelling and reporting techniques (Optional) Gain a basic introduction to Python for data analysis0
- Course ContentModule 1: Introduction to Data Analytics (2 hrs) What is data analytics? Types of analytics: descriptive, diagnostic, predictive, prescriptive Data lifecycle and business applications Module 2: Working with Data in Excel (5 hrs) Data cleaning, sorting, filtering Using functions and formulas for analysis PivotTables and PivotCharts Conditional formatting & dashboard basics Module 3: Data Visualization with Power BI (7 hrs) Power BI interface and data sources Building data models Creating visual dashboards and reports Interactive filters, slicers, and DAX basics Module 4: Introduction to Data-Driven Decision Making (4 hrs) Analyzing trends and making conclusions Reporting insights for business use Common KPIs in business analytics Module 5: Introduction to Python for Data Analysis (Optional) (5 hrs) Basics of Python and Jupyter Notebooks Importing and manipulating data with Pandas Data visualization with Matplotlib / Seaborn Module 6: Final Project & Case Study (7 hrs) Analyzing a real dataset Creating a report and presenting insights Building a final interactive dashboard0
Requirements
- Basic computer and internet usage skills
- A laptop or desktop with Microsoft Excel and Power BI installed
- No prior experience in data analysis required
- (Optional) Interest in learning Python for data
Features
- 30 hours of hands-on, practical training
- Real-world datasets and case studies
- Covers both Excel & Power BI tools
- Optional introduction to Python
- Taught by experienced data professionals
- Certificate of completion (with 75% attendance)
- Downloadable templates, files & exercises
- Support with real-time Q&A and post-course guidance
Target audiences
- Business professionals looking to improve decision-making with data
- Marketing and sales teams needing to analyze performance metrics
- Students and recent graduates interested in analytics careers
- Freelancers and consultants offering business insights
- Beginners with no prior analytics experience
- Anyone looking to upskill for data-related roles