Data Analytics

We Use Technology To Solve Business Challenges

What We Do

We leverage cutting-edge technology to solve business challenges and drive growth.

Data Analytics Courses

Are you a job seeker, a student or an employee? Our courses are structured to enhance your job opportunities and improve your productivity in the work place.

Take a look at the courses and enrol today

Data Analytics is a core skill to have today, in view of large volume of data to process, irrespective of your discipline. It is important to note that there are basic concepts and principles to learn before taking a dive into data analytics; these are the ABC or 123 of data analytics.

Many would-be data analysts start with the tools. However, data analytics tools are just tools. This course will equip you with those concepts and principles required to carry out your various data analysis tasks successfully.

  •    What Is Data Analytics
  •    Types of Data
  •    Why Data Analytics?
  •    Data Analysis Methods
  •    Data analytics process
  •    Skills needed to become a data analyst
  •    Data Analytics Common Tools
  •    Developing a Data Analysis Strategy
  •    Data list design
  •    Data Relationships
  •    Data Storage
  •    Data Analytic Forms

Having learnt data analytics basic principles and concepts and explored Microsoft Excel features and functionalities, it is now time to focus on data analytics tasks and learn how to apply data analytics principles and use Microsoft Excel functionalities to handle these tasks. This course will impart life-changing data analytics skills to enable you handle diverse real-life situations.

  •    Data Consolidation: Manning
  •    Data Consolidation: Stock Count
  •    Data Consolidation: Cash Count
  •    Data Merging: School Results
  •    Data Merging: Account Reconciliation
  •    Data Merging: Payroll
  •    Receipts Reviews
  •    Expenses Reviews
  •    Invoice review
  •    Loans Review
  •    Yearly plans
  •    Monthly Performance etc

Microsoft Excel is one the best tools to use and most times sufficient for all you data analytic tasks. You can drastically increase your productivity by going beyond the basics of Microsoft Excel. This training brings to the fore key salient functionalities in Excel that make data analysis seamless.

  •    Naming Cells and Ranges
  •    Using Functions (sum, if, and, count etc)
  •    Using Multiple Worksheets
  •    Formatting Data and Content
  •    Conditional Formatting
  •    Sorting Lists
  •    Filtering Lists
  •    Data Validation
  •    VLOOKUP and Related Functions
  •    Text Operations
  •    Date Operations
  •    Table Operations
  •    Pivoting Operations etc

This course guides you through the essentials of data extraction and cleaning, teaching you to seamlessly manipulate and integrate data from multiple sources. You will learn common techniques for transforming and restructuring datasets, ensuring they are analysis-ready. With these skills, you’ll transform time-consuming data preparation into an efficient, automated process.

   Understanding Power Query
   Cleaning Data with Power Query
   Transforming Data with Power Query
   Calculating with Power Query
   Combining Files with Power Query

This course helps students grow from beginner to proficient software engineer with strong coding fundamentals, real-world project exposure, and best practices in engineering sustainable systems

   Introduction to Software Development- What is software engineering?- Types of software (web, mobile, embedded, etc.)- Tools of the trade: IDEs, Git, CLI- Introduction to version control (Git basics)
   Programming Fundamentals- Data types, variables, operators- Control flow (if, loops, switch)- Functions and modular programming- Basic debugging techniques
   Data Structures and I/O- Arrays, lists, dictionaries/maps- Reading from and writing to files- Basic error handling
   Object-Oriented Programming- Classes and objects- Encapsulation, inheritance, polymorphism- Constructors and access modifiers
   Version Control & Collaboration- Advanced Git (branching, merging, pull requests)- Code reviews and teamwork practices- GitHub and CI basic etc
How the courses are structured to benefit you

For maximum impact we adopt the following strategies

  •    Polls to test your knowledge during class
  •    Breakout rooms for class discussion based on exercises
  •    Chats to get responses to questions asked and for you to ask questions during class sessions
  •    Test to access your knowledge at the end of the class
  •    Recorded video for those who missed a class
  •    Award of certificate of attendance based on your performance in the class and the test
  •    Opportunity for re-enrolment at half-course fee if it desired to take the course again
  •    Interactive and highly practical
  •    Online training in the comfort of your office/house
  •    Highly interactive student portal
  •    Flexible training schedule(online, weekend, morning, afternoon, evening etc)
  •    Personalised(one-on-one) courses
  •    Periodic Data Analytics BootCamp etc

Meet The Lead Course Facilitators

Mr Abayomi Folorunsho leads a team of highly qualified professionals to deliver high quality data analytics services and training as well as top-rated software. He is a professional accountant and certified Microsoft Technology expert. He has used top analytic tools(lotus 123, Microsoft Excel, IDEA, Power BI, Power Query, Python etc) to organise and derive insights from data for over 3 decades. He was Head, IT Audit Group in the Central Bank of Nigeria before his retirement.

Mr Rotimi Abayomi is a seasoned Backend Engineer with 4 years of hands‑on experience architecting and delivering Java Spring Boot microservices for enterprise applications. He is an expert in designing high‑throughput systems, zero‑downtime data migrations, and end‑to‑end CI/CD pipelines. He has proven track record improving performance and securing services using Kerberos, AD integration, and containerized deployments.

Course Reviews

"The training programme was highly impactful and well-coordinated. Participants expressed strong satisfaction with the quality of facilitation, the practical orientation of the sessions, and the relevance of the tools and techniques covered. The hands-on approach adopted throughout the programme significantly enhanced learning and reinforced practical application within the audit environment"

"It was a very interactive class, the facilitator was well grounded and highly knowledgeable in the course, he shared his experiences with the class and he made sure we understood all that was taught"

“How the Facilitator and other course participants broke down the material into practical examples that relates with my daily schedule at work..”

"The experience was very amazing and the instructor was very patient with everyone."

"It was taught bit by bit in details."

"Simple and interactive with examples."

Critical data analytics projects executed

Listed below are some data analytic projects executed by us.

Contact us today.

Bank Accounts Consolidation

This involves consolidating over a thousand legacy bank accounts in disparate applications into just 3 types of operating account in one application for just 24 banks with their balances within some hours

Terminal Salary Determination

We had to re-derive terminal salaries of various grades of staff based on length of service, age, date of exit, salary scale over a period of years and detecting errors running to half a billion in local currency

Data Templates

Capturing data from respondents or from daily transactions is often a challenge. Often pertinent details are left out. We designed templates to capture data with ease. This greatly reduced errors, allowed for faster consolidation of returns, dynamic generation of approval memos and reports etc.

Irregularities In Allowances

The task involved reviewing massive records of Personal Travel Allowance applicants to determine those with irregularities (diversion, impersonation, duplication, utilisation etc). Over 100,000 USD was recovered with about 5 staff losing their jobs using deep analytics.

Audit Scripts

Repetitive tasks using the traditional tools are often laborious. This is more so during audit exercises. We had to automate some of the tasks for improved audit results. Some of the automated tasks included audit of Trial Balance, Payrol Data, Loans Data, Invoice Processing, Interest/Fees computations etc.

Report Automation

Different management reports were automated in Excel Templates using data from the legacy systems. This way reports needed not be created every month as these are automatically generated from the templates.