a ccna , ,devnet ,devops ,interested in computer networking and security ,cloud computing , open source intelligence (osint), history and interior design
🧵Nairobi has a comprehensive roadmap for its future: the NIUPLAN from 2014,prepared by JICA & officially approved by the Nairobi City County. Containing some of the most rigorous transport data analysis in the country. Let’s break it down (Transport Infrastructure).
It's a simple fact of life: if you want to do something incredible, something that makes you stand out above the rest, then you have to become comfortable being different—that means being misunderstood, criticized, even hated.
Luck doesn’t just happen, it’s created. You can do things to increase the odds of serendipity.
Meeting more people makes you lucky.
Learning more skills makes you lucky.
Being willing to fail makes you lucky.
Offering to help others more often makes you lucky.
Kuna event ya tech inaitwa Faith Foundry, bwana it reminds me of an article I did Explaining how Joseph is so far the best Biblical Data Scientist. Man interpreted the dreams - data, shared insights and got himself a job. It's like getting a project, working on it and having your portfolio do the magic
one of the quotes i find most inspiring on a hard day:
"Whatever your hand finds to do, do it with all your might, for in the realm of the dead, where you are going, there is neither working nor planning nor knowledge nor wisdom"
Ecclesiastes 9:10
My Cousin Richard Turere came up with an idea of protecting Maasai homes from lion attacks by installing solar lights and he added cameras that rotate 360 degrees and are all weather proof..His project is called LION LIGHTS! Retweet kindly apate ya cabbage! Asante!
Here’s how I’d learn Data Analytics from zero in 30 days.
Most beginners don’t need more random tutorials.
They need a simple path.
Week 1: Learn the foundations
• What data analysts actually do
• Types of data
• Basic business metrics
• Excel basics
• Cleaning messy data
• Sorting & filtering
• Pivot tables
• Basic charts
• Simple dashboards
• Asking better business questions
Week 2: Learn SQL properly
• SELECT
• WHERE
• ORDER BY
• GROUP BY
• HAVING
• JOINS
• CASE statements
• Subqueries
• CTEs
• Window functions
Week 3: Learn Python for analysis
• Pandas basics
• Reading CSV files
• Cleaning data
• Handling missing values
• Grouping data
• Filtering data
• Merging datasets
• Basic visualization
• Finding trends
• Exporting reports
Week 4: Build portfolio projects
• Sales analysis dashboard
• Customer segmentation project
• Marketing campaign analysis
• E-commerce product insights
• HR attrition analysis
• Excel dashboard
• SQL case study
• Python EDA project
• Clean GitHub README
• Final Notion portfolio
30 days won’t make you a senior analyst.
But it can make you consistent, confident, and portfolio-ready.
And to say the least, SQL is the most transferable skill in the data profession. Not the most exciting, perhaps. But the most consistently useful across every tool, every role, and every industry.
Every dashboard you will ever build is pulling from a database. Every Python notebook that connects to enterprise data is sending SQL queries underneath. Every BI tool generates SQL automatically from your drag-and-drop actions.
SQL is the invisible layer that holds the modern data stack together. Master this tool
A well-built Excel dashboard is a communication product. If the reader still needs you to explain it, then it is not finished yet. What do you guys think about this? It was built by one of my students last year in Excel. Comments fupi fupi