Become a Pro in Data Analytics + Artificial Intelligence Guide (ChatGPT)

Land a new Job with over 3000 students as you learn Practical Hands-on Data Analytics Tools (PostgreSQL, MS Excel, Power BI) + AI Guide.

Before you read about my little story, these are what you will be getting in this course:

  1. 7 hours of SQL lessons
  2. About 3 hours of project focused course on Power BI
  3. Over 4 hours of Microsoft Excel for Data Analytics lectures.

By the time you are done, you can confidently tell someone that you are a data analyst with experience who has worked on projects.

 

Some years ago, I happened to visit a company who is into ecommerce business. This company deals with electronic gadgets (I mean sales of electronic gadgets). I got to know that this same company have a website where customers places order(s) online and get these products delivered to them at their homes.

But here was the challenge these guys were facing.

They were not able to directly communicate with the database to get customers information which you know will be used for data and business analysis.

To cut the long story short, I met with the company’s business analyst, after I engaged her in a brief discussion, I got to know that she was only familiar with the use of Microsoft Excel.

MS Excel is a good tool, “I said this to myself”…

But when it comes to interacting with databases, it is no good tool for it.

I just knew that this was time for me to properly introduce myself.

I decided to offer them help using my SQL knowledge.

I was given access to the computer, then I immediately accessed the company’s Web Hosting platform, located the exact database for the ecommerce platform, wrote some queries which pulled out the data of customers to the local disk.

What next?

I downloaded a familiar SQL Relational Management System, and began writing queries to analyse the company’s data. 

At the end of the day, I exported it to the business analyst for further analysis and visualization.

She was like…. “Wow”

How did you do that?

I decided to teach her the SQL skill she needed to communicate with databases and get such task done easily.

The same training I gave her is what I will be giving out to you in this training…

..and I am doing that at ALMOST NO COST.

I could send you all the testimonials I have got so far, but you may not be able to go through all of them… so I decided to share with you the few.

Take a look at this…

A lady called me from Toronto, Canada. She has been applying for jobs for the position of a Data Analyst for quite some time after she moved in to the state. After about 15 minute talk with her, I got to know that she was already taking my course on SQL. She concluded by thanking me for such a DISCOUNTED OFFER .

Look at what one my students who got the course all the way from UK is saying.

Dr. Obinna Anagor (Data Scientist, UK) - My student currently taking this course

Course Structure

The course is structured into 46 in-depth video lessons with downloadable working files.

This course is self-paced, where you get to access once you’re enrolled. Included in this course are several quizzes to test your knowledge on how well you have comprehended the lessons.

There is a section for Q&A where you can directly ask your questions for each of the lessons.

You will also join a Discord server community of Data Analysts where you will meet with other students, ask questions, and get problems solved. At the end of the training, a certificate of completion will be issued to you.

My Work Space

Ifiokobong Akpan (Data Analyst & Course Instructor)

Requirements & Responsibilities:

  1. Little or no basic knowledge of Data Analytics.
  2. A working PC with access to the internet.
  3. Download and Install pgAdmin for PC (Windows or MacOS)
  4. Work with data, including how to import data, work with flat files such as CSV, and create data sets for others.
  5. Prepare data, explore it visually, and describe it.

Structure of the Course:

My name is Ifiokobong Akpan, who holds B.Eng in Civil Engineer from the University of Nigeria, Nsukka, and a Data Scientist currently pursuing MSc in Artificial Intelligence and Data Science in United Kingdom.

The course comes with a self-paced recorded video lessons which I recorded myself. Due to the high number of registered students, we cannot go live teaching such number of students, but there is provision for LIVE orientation classes especially to those from the non-technical background.

The course starts with the fundamentals of Databases and that of Data Analytics. The link to Download all the software is available in the course.

WHY YOU NEED THIS COURSE

  1. SQL, Excel and Power BI are hot in-demand tools in the Data Analytics industry.
  2. It will give you an edge in your work place. You will learn to write queries to fetch data from databases.
  3. A certificate of completion will be awarded to you which you can add to your CV.
  4. Meet and work together with other professionals in the data industries
  5. Prepare data, explore it visually, and describe it.
  6. And lots more…

HOT BONUS SECTION

I have covered a section on the use of Artificial Intelligence (AI) to improve efficiency and increase productivity as a data analyst.

AI will:

  • assist in data preprocessing tasks, such as data cleaning, normalization, and transformation, to ensure the data is ready for analysis.
  • create data visualization tasks, creating charts, graphs, and plots to present data in a visually appealing and informative manner.
  • get exploratory data analysis (EDA) by providing insights and summaries about the dataset, identifying patterns, correlations, and outliers.
  • assist in data interpretation, explaining the findings, and providing recommendations based on the analysis.
  • answer data-related questions and provide explanations, helping analysts gain deeper insights into the data.

 

All you need to know are the needed PROMPTS to communicate with these AI.

This course will provide you with the PROMPTS you need as a Data Analyst.

Knowing how to use AI as a data analyst will save you hours of Work. You can analyse big data in just few minutes with any tool (SQL, Python ..). 

 

You cannot afford to miss this!

Requirements & Responsibilities:

  1. Little or no basic knowledge of Data Analytics (Excel, Power BI, and Excel).
  2. A working PC with access to the internet.
  3. Download and Install pgAdmin for PC (Windows or MacOS)
  4. Work with data, including how to import data, work with flat files such as CSV, and create data sets for others.
  5. Prepare data, explore it visually, and describe it.

Live Classes

I also organize a live session for my students whenever they are faced with challenges or have issues on the SQL code. 

The last session we had, students connected from Canada, UK, and several countries.

The LIVE session is usually carried out on the discord server. 

What are you waiting for? Grab the offer and meet with other professionals and students to learn Data Analytics.

Please NOTE: The ORIGINAL course is ₦60,000, but you are getting it at ₦30,000.

See what some of my students are saying

Frequently Asked Questions

Q1. How much is the course?

Ans: The course cost ₦30,000

Q2. What is the nature of the course?

Ans: This is a pre-recorded self-paced lectures. It takes approximately 9 hours to complete all the lessons.

Q3. Is there LIVE session?

Ans:  There are LIVE sessions which is usually carried out on the discord server (You will be required to download the software after enrolling in the training).

Q4. Is there certificate of completion?

Ans: Yes. Immediately you are done with the training, you can go ahead to download your certificate.

Q5. How do I make payment?

Ans: You can make payment online using your ATM card, USSD or transfer.

Q6. When is the class starting?

Ans: Your own class starts immediately you make payment and enrol for the class.

Q7. Do I get refunds for the course?

Ans: If you are not satisfied with the course, your money will be refunded.

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