Data Analytics Using Excel and Power BI
| Location | Duration | Kenyan Cost | Non-Kenyan Cost | Upcoming Schedules |
|---|---|---|---|---|
| Nairobi, Kenya | 5 Days | KES 100,000 | USD 1,300 |
| Location | Duration | Non-Kenyan Cost | Register |
|---|---|---|---|
| Online | 5 Days | USD 550 |
| Register |
|---|
About the Course
This course is designed to equip professionals with the practical skills required to analyze data,
generate insights, and support decision-making using Microsoft Excel and Power BI. It focuses
on transforming raw data into meaningful information through data cleaning, analysis,
visualization, and reporting.
Participants will gain hands-on experience in using Excel for data manipulation and analysis, as
well as Power BI for creating interactive dashboards and business intelligence reports. The
course emphasizes real-world application, enabling participants to solve business problems using
data-driven approaches.
By the end of the training, participants will be able to confidently analyze datasets, build reports,
and present insights that support strategic and operational decisions.
Target Participants
This course is ideal for:
- ● Data analysts and aspiring analysts
- ● Business and operations professionals
- ● Finance and accounting professionals
- ● Managers and decision-makers
- ● Administrative and support staff
- ● Students and graduates entering data-related roles
- ● Anyone interested in data analysis and visualization
What You Will Learn
- ● Understand the fundamentals of data analytics
- ● Clean and prepare data using Excel
- ● Perform data analysis using Excel functions and tools
- ● Use pivot tables and charts for data summarization
- ● Apply data visualization techniques
- ● Understand business intelligence concepts
- ● Use Power BI for data modeling and transformation
- ● Create interactive dashboards and reports
- ● Apply DAX (Data Analysis Expressions) basics
- ● Connect multiple data sources in Power BI
- ● Interpret data insights for decision-making
- ● Present data findings effectively
Course Duration
- ● Face-to-face workshops: 5 days
- ● Virtual Training: 7 days
- LMS: Self-paced learning
Course Outline
Introduction to Data Analytics
- ● Definition and importance of data analytics
- ● Types of data (structured and unstructured)
- ● Role of data in decision-making
- ● Overview of Excel and Power BI
- ● Data analytics workflow
Data Preparation and Cleaning in Excel
- ● Importing data into Excel
- ● Data cleaning techniques (removing duplicates, handling missing values)
- ● Data formatting and structuring
- ● Using text, logical, and lookup functions
- ● Data validation and error checking
Data Analysis Using Excel
- ● Basic and advanced Excel functions
- ● Sorting and filtering data
- ● Pivot tables and pivot charts
- ● Data aggregation and summarization
- ● Conditional formatting for insights
Data Visualization in Excel
- ● Creating charts and graphs
- ● Choosing the right visualization
- ● Dashboard creation in Excel
- ● Data storytelling techniques
- ● Best practices in visualization
Introduction to Power BI
- ● Overview of Power BI and its components
- ● Connecting to data sources
- ● Connecting to data sources
- ● Understanding Power BI interface
Data Transformation in Power BI (Power Query)
- ● Importing and transforming data
- ● Cleaning and shaping data
- ● Merging and appending datasets
- ● Data transformation techniques
- ● Preparing data for analysis
Data Modeling in Power BI
- ● Understanding data models
- ● Creating relationships between tables
- ● Star schema and data structure basics
- ● Managing data models effectively
DAX (Data Analysis Expressions)
- ● Introduction to DAX
- ● Creating calculated columns and measures
- ● Common DAX functions
- ● Aggregations and calculations
- ● Applying DAX in reports
Data Visualization in Power BI
- ● Creating charts, tables, and visuals
- ● Designing interactive dashboards
- ● Using filters and slicers
- ● Drill-down and drill-through features
- ● Enhancing user experience
Reporting and Dashboard Development
- ● Building business intelligence reports
- ● Combining multiple visuals
- ● Creating interactive dashboards
- ● Sharing insights effectively
- ● Publishing reports
Data Interpretation and Decision Making
- ● Analyzing trends and patterns
- ● Drawing insights from data
- ● Supporting business decisions
- ● Communicating findings clearly
- ● Data storytelling for stakeholders
Best Practices and Real-World Applications
- ● Data accuracy and integrity
- ● Security and data governance basics
- ● Real-world case studies
- ● Practical exercises and projects
- ● Continuous improvement in analytics skills
Training Approach
This course will be delivered through a coaching-first approach that goes beyond traditional
instruction. Whether in our Nairobi classroom, live virtual cohorts, or through our White Label
LMS, participants engage in a safe and nonjudgmental learning environment designed for
meaningful transformation.
We focus on the individual behind the professional title, connecting with the heart before
training the mind. This approach encourages reflection, practical application, and deeper
engagement, ensuring that learning is not only understood but also internalized and applied with
confidence.
Certification
Participants will receive a certificate upon successful completion of the course, recognizing their
knowledge and practical competence.
Customized Training Solutions
This course can also be delivered as a tailor-made program, designed to address the specific
needs, priorities, and operational challenges of your organization.