Become a Certified Data Analyst

Learn the skills you need to analyze and visualize data using Microsoft Excel and Power Bi. Help organizations make better data-driven decisions.

Why Take This Course?

Data analysis is one of the most in demand skills in tech in the world today.

High-Pay

The average annual salary for a data analyst in the US is $72,000 (₦53,000,000).

High-Growth Rate

This career path is projected to grow by 31% by 2029 which is faster than the average projected rate of growth for all occupations (5%).

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What You'll Get

Experts-Led Training

Our instructors are certified by Facebook & Google and they are among the top I.T skills trainers and consultants in Africa.

100% Practical Training

All the tools, tricks, and tactics will be demonstrated to you by a data analyst in a practical way. No theory.

Job Assistance

We will support you through your job search, and you will get exclusive  access to our dedicated job group to apply for relevant jobs.

250+ Jobs Awaits You

Before the end of your training, we will help you source for 250+ remote, full-time, and part-time jobs for you for FREE.

What You'll Learn

In this course, you’ll learn how to discover business insights and perform data analysis practically using Microsoft Excel following this guide:

Training Details

No need to quit your job or school, you can enhance your professional and earning potential with our morning evening, and weekend sessions

Weekday Session

Days: Mon, Wed. & Fri.
Time: 10 - 1PM
Duration: 6 weeks
Start Date: 5th February 2023

REGISTER NOW

Weekday Session

Days: Mon, Wed. & Fri.
Time: 10 - 1PM
Duration: 6 weeks
Start Date: 5th June 2023

REGISTER NOW

Online Session

Days: Mon, Wed. & Fri.
Time: 10 - 1PM
Duration: 6 weeks
Start Date: 5th June 2023

REGISTER NOW

What You'll Learn

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Microsoft Excel

In this module, you will learn the foundations of working with data, from understanding how data can benefit businesses, the data analysis process and to skills required to become a Professional Data Analyst.
Also, you will learn to define the need for data analysis by articulating a business problem in a way that data can address. 

This session will teach you how to collect and organize data in a spreadsheet using worksheets and tables. You’ll also learn how to standardize it by cleaning up and deleting duplicates and other superfluous information.
In this session, you will learn various tools and expert approaches to help you analyse and interprete the data and reach conclusions that may be used to help organizations make data-driven decisions.
In this section, you will learn how to assess data and determine the best course of action to solve a business problem based on your findings. You will learn how to think like a Data Analyst.
Poor problem definition is a common cause of data science project failure. In this lesson, you will learn how to define the need for data analysis by articulating a business problem in a way that data can address.

Power BI

In this module, you will be introduced to data analysis in Power BI. You will learn the benefits and features of Power BI.
Here you will learn how to transform data, model and combine data in Power BI. You will also learn how to create Dashboards.
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Meet Your Trainers & Mentors

We have assembled some of the best trainers and mentors to guide you to success. Here are a few of them.

What Our Clients Says About Us

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Frequently Asked Questions

Yes. We accept payments in installment. Please send us a WhatsApp message via 08028973599 to discuss with one of our staff on available payment options.

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et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
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et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
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et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.