Livecode Technologies

Livecode Technologies Your Best Technology and Capacity Building Partner in Africa..

Happy Madaraka Day Kenya.
01/06/2026

Happy Madaraka Day Kenya.

Your Vision, Our Code — Mobile Apps That Inspire mobile.de Alex Kinyili High Potential Africa CDC
27/05/2026

Your Vision, Our Code — Mobile Apps That Inspire

mobile.de Alex Kinyili High Potential Africa CDC

We are in your neighbourhood.
19/05/2026

We are in your neighbourhood.

Livecode Technologies Point of Sale System.Monitor your business from anywhere across the world.
16/05/2026

Livecode Technologies Point of Sale System.

Monitor your business from anywhere across the world.

Need a Web System, We got you.Contact us today, free consultation
13/05/2026

Need a Web System, We got you.
Contact us today, free consultation

Your Best Technology and Capacity Building Partner in Africa.
23/04/2026

Your Best Technology and Capacity Building Partner in Africa.

Mobile Data Collection & Analysis using KoBo Toolbox and Power BI Course - PHYSICAL | VIRTUAL ATTENDANCEINTRODUCTION.A "...
02/03/2026

Mobile Data Collection & Analysis using KoBo Toolbox and Power BI Course - PHYSICAL | VIRTUAL ATTENDANCE

INTRODUCTION.

A "Mobile Data Collection & Analysis using KoBo Toolbox and Power BI Course" would teach individuals how to gather data on mobile devices using the KoBo Toolbox platform, then import and visualize that data within Power BI for comprehensive analysis and reporting, primarily targeting researchers, project managers, and development practitioners who need to collect field data efficiently and gain actionable insights through data visualization.

KoBo Toolbox Fundamentals:

- Understanding the KoBo Toolbox platform and its components (KoboCollect app, Form Builder, online data management).

- Creating data collection forms using XLSForm format, including designing questions, data types, and conditional logic.

- Deploying forms to mobile devices via the KoboCollect app.

- Data collection in the field using mobile devices, including GPS location capture.

- Managing data submissions, reviewing and cleaning data within the KoBo Toolbox interface.

Power BI Integration:

- Connecting Power BI to KoBo Toolbox data sources (API integration).

- Data transformation and cleaning within Power BI to prepare data for analysis.

- Creating visualizations using various Power BI chart types (bar charts, line graphs, maps).

- Building interactive dashboards with filters and slicers to explore data dynamically.

- Data storytelling techniques to present findings effectively through visuals.

ADVANCED TOPICS:

- Implementing data quality checks within KoBo forms

- Utilizing geospatial data with KoBo and Power BI for mapping and analysis

- Integrating data from other sources into Power BI dashboards

- Using Power BI features like Power Query and DAX for complex data manipulations

Who Should Take This Course:

- Researchers in development, health, environment, and other fields

- Project managers who need to monitor and evaluate project activities

Field data collectors using mobile devices

- Data analysts looking to enhance their skills with KoBo Toolbox and Power BI

Registration, Click the link below:

23rd March- 27th March 2026 - PHYSICAL ATTENDANCE

https://livecodetech.co.ke/index.php/mega/mobile-data-collection/kobotoolbox-training-courses/11463-mobile-data-collection-analysis-using-kobo-toolbox-and-power-bi-course

23rd March- 28th March 2026 - VIRTUAL ATTENDANCE

https://livecodetech.co.ke/index.php/mega/mobile-data-collection/kobotoolbox-training-courses/12598-virtual-attendance-mobile-data-collection-analysis-using-kobo-toolbox-and-power-bi-course


Master Data? Start with These 6 Essential Tools.In today’s data-driven world, tools don’t replace thinking — they amplif...
26/02/2026

Master Data? Start with These 6 Essential Tools.

In today’s data-driven world, tools don’t replace thinking — they amplify it.
Whether you're an aspiring analyst or a seasoned professional, mastering the right stack can significantly elevate your impact.

Here are 6 essential tools every data professional should know:

1️⃣ Excel & Google Sheets — The Backbone of Quick Analysis

Still one of the most powerful tools in business.

✔ Data cleaning and exploration
✔ Pivot Tables for fast summaries
✔ VLOOKUP/XLOOKUP for lookups
✔ Charts for quick visual insights

Before advanced tools, there’s always Excel. It’s where clarity often begins.

2️⃣ SQL — The Language of Databases

If data lives in databases, SQL is how you talk to it.

✔ Extract and filter data
✔ Join multiple tables
✔ Aggregate and summarize key metrics

Strong SQL skills turn raw data into structured answers.

3️⃣ Tableau / Power BI — Turning Data into Decisions

Visualization bridges the gap between analysis and action.

✔ Interactive dashboards
✔ Real-time business reporting
✔ Clear storytelling through visuals

Great insights are powerful. Clearly communicated insights are transformational.

4️⃣ Python (Pandas, NumPy, Matplotlib, Seaborn) — Power & Automation

When data scales, so should your tools.

✔ Clean and manipulate large datasets
✔ Perform statistical analysis
✔ Automate repetitive workflows
✔ Build advanced visualizations

Python moves you from analysis to engineering-level impact.

5️⃣ R — Advanced Statistics & Modeling

Where deep analytics meets academic precision.

✔ Statistical modeling
✔ Research-focused analysis
✔ Advanced reporting and visualization

For rigorous analysis and experimentation, R remains a gold standard.

6️⃣ Git / GitHub — Professionalism in Collaboration

Data work is not just about insights — it’s about reproducibility and teamwork.

✔ Track changes in code and scripts
✔ Collaborate seamlessly
✔ Maintain clean, documented projects

Version control isn’t optional anymore — it’s a professional standard.

The takeaway?
Tools don’t define you — but knowing when and how to use them does.

Master the fundamentals. Build depth. Stay adaptable.

Which of these tools are you currently focusing on — or planning to learn next?

TO LEARN MORE OF DATA ANALYSIS, YOU CAN CLICK BELOW:
https://livecodetech.co.ke/index.php/mega/computer-science-and-it/research-and-data-analysis

DataCamp

Address

Nairobi

Opening Hours

Monday 08:00 - 17:00
Tuesday 08:00 - 17:00
Wednesday 08:00 - 17:00
Thursday 08:00 - 17:00
Friday 08:00 - 17:00
Saturday 08:00 - 13:00

Telephone

+254725771853

Website

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