Master Data Analytics: Excel, Power BI, SQL Bootcamps & Consulting

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Master Data Analytics: Excel, Power BI, SQL Bootcamps & Consulting Expert Data Analytics Tutoring & Consulting in Excel, Power BI & SQL. 30/60/90-Day Bootcamps. Book 1-on-1 sessions.

17/08/2026

Are you waiting for the right time to start your data analytics journey? 📅

Our current students are on Day 80, and we are preparing for the next cohort.

You do not need a background in computer science to join us. We start from the absolute basics of Excel before moving to Power BI and SQL.

Many of our past students started with zero tech skills. They now analyze data daily to help businesses grow. 💼

We keep our classes small so we can guide every student. You will work on real projects that you can show to employers.

We fill our classes quickly because we limit the seats.

Want to know what is included? DM us on WhatsApp: https://wa.me/2349011621931

17/08/2026

Are you tired of sending out job applications in Lagos and getting zero responses? 💼

One of our SQL students recently secured a junior data analyst role after updating his LinkedIn profile with his project portfolio. He went from earning 80,000 Naira monthly as a customer service agent to 250,000 Naira in his new role.

He did not have a computer science degree, but he learned how to query databases.

Which tech skill are you currently learning to improve your career options? 🤔

17/08/2026

Have you ever tried to read a SQL query with three nested subqueries and felt completely lost?

Nested subqueries make your SQL code hard to read and even harder to debug when numbers do not match. Common Table Expressions, or CTEs, solve this problem by letting you write named temporary result sets. 🛠️

Think of a CTE as a temporary table that exists only during the ex*****on of your query. You define the CTE at the top of your query and then use it just like a regular table below.

For example, imagine you want to find customers in Lagos who spent more than the average order value of fifty thousand Naira. You first write a CTE to calculate this average, then you filter your main customer list using that value. 📊

You write a CTE using the WITH keyword followed by your query name and the AS operator. For example, write WITH AverageSpent AS followed by your select query in parentheses, and then run your main select query.

Your task for today:

Write a SQL query using a CTE to find the highest-selling product. 💻 First, create a CTE named ProductSales that sums the quantity sold for each product ID.

Next, write a main query that selects the product ID from your CTE where the total quantity equals the maximum total quantity. This exercise should take you about ten minutes.

How often do you use CTEs instead of subqueries in your daily database work?

16/08/2026

Chioma doubled her salary as a business analyst after learning how to write SQL queries. 📈

She did not have a tech background. She studied accounting at the University of Ibadan.

In her new job, she uses SQL queries to analyze daily sales data. This saves her team five hours of manual work every week. ⏱️

She finished our 90-day bootcamp last year. Today, she works with a top retail company in Lagos.

You can build the same practical skills if you commit to learning.

Take the first step today. Message us on WhatsApp: https://wa.me/2349011621931 💬

16/08/2026

Are you tired of writing messy subqueries that confuse your team members? 📂

Before using CTEs, your SQL queries had nested SELECT statements inside brackets. This made your code hard to read and debug.

Now, you can define a Common Table Expression with the WITH clause at the top. This names your temporary result set and keeps your final query clean. 💡

Do you prefer using CTEs or subqueries for your data reports?

16/08/2026

How do you know you are moving from a basic SQL writer to an advanced developer? You start writing queries that solve complex business questions with ease. 💻

This week we completed some major milestones in our SQL journey. We started by mastering different SQL joins to connect tables and find hidden business facts.

We then moved to group aggregates to summarize thousands of rows of data. Finally we tackled window functions like RANK and ROW_NUMBER to order our results. 📊

Here is one big lesson from this week. Writing clean SQL is not about making your code look complex. You want your team members to read and understand your query easily.

Here is a quick twenty minute Sunday challenge for you. Write a short query using a CTE to find the top three customers in your dataset.

Which SQL concept did you find most interesting this week? Share your thoughts below and let us discuss. 👇

15/08/2026

Do you believe you need a strong background in mathematics or computer science to learn SQL?

Many people avoid data analytics because they feel their background is not technical enough. They assume you must be a computer science graduate to write database queries. 💻

This is a big misconception. We have trained history graduates, accountants, and teachers who now write SQL queries at work. 📈

SQL uses simple English commands like SELECT, FROM, and WHERE. If you can write a basic sentence, you can learn to write queries. ✍️

You only need logical thinking and consistent practice to succeed. We start our lessons from the very basics to build your confidence step by step.

Have questions? We are on WhatsApp: https://wa.me/2349011621931

15/08/2026

Many accounting grads in Lagos stay stuck in entry-level roles for years.

Last year, one of our students added SQL database skills to his finance background. He transitioned to a business analyst role with a 50 percent salary increase. 💼

Local banks now look for finance professionals who can pull their own data without waiting for the IT department. 📈

Have you noticed this shift in your own field?

15/08/2026

Have you ever tried to read a SQL query with four nested subqueries and felt your head spin? 🧠

Subqueries often make your SQL code messy and very hard to debug. A Common Table Expression, or CTE, solves this by letting you create a temporary result set that you can name and use like a regular table.

Imagine you need to find employees who earn more than the average salary in their department. You first need to calculate the average department salary, then compare individual salaries to it.

You start the query with the word WITH and give your temporary table a name. Here is how you write it: WITH DeptAvg AS (SELECT DeptID, AVG(Salary) AS AvgSalary FROM Employees GROUP BY DeptID) SELECT E.Name, E.Salary FROM Employees E JOIN DeptAvg D ON E.DeptID = D.DeptID WHERE E.Salary > D.AvgSalary. 💻

Your task for today: Write a CTE called HighSales that calculates the total sales for each salesperson in Lagos. Then, write a main query that selects only the salespeople who sold more than 500,000 Naira from that temporary table. 📊

Do you find CTEs easier to read than traditional subqueries?

14/08/2026

Emeka spent three hours every Friday dragging data from different Excel sheets into one master report.

He worked as an operations assistant in Lagos. He constantly made manual mistakes, and his boss often complained about the errors. 😭

When Emeka joined our bootcamp, he learned how to write SQL joins. He can now combine tables from different databases in seconds. 💻

Today, his weekly reports take him less than ten minutes to generate. He even has time to help his colleagues clean their data. 👍

Interested in joining? Chat with us on WhatsApp: https://wa.me/2349011621931

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