RARE BREED

21/07/2025

You are not a minister of God because you wear suit neither is it because you hold the microphone.
An Ezimo can wear his diabolical regalia and cover it with double breasted suit and hold Microphone.

A truly minister is one who is a steward of The mysteries of God.1Cor4:1
What are The mysteries of God?
The mysteries of God are secrets of God hidden. A minister by the virtue of Grace has access by God to declare and bring the whole counsel of God on a dimension to build and edify His body (The Church).Out of the given mystery will the Message emancipate from.

One of the distinguishing factor that differentiate every minister is the token of mystery bequeathed to them by God.
The mystery and the message of Holiness was bequeathed to Our Father of Faith, W K Kumuyi.
The mystery and the message of Faith and Prosperity was bequeathed to Bishop David Oyedepo.
The mystery and the message of Gospel of the kingdom of God, rebirthing of Apostolic Template was given to God's Apostle Arome Osayi.
And also the mystery and message of purity, power and prayer was bequeathed to Our father Apostle Edu Udechuku.

In every dispensation, God unfold Mysteries that He intend to bring His Church into.
It is outright foolishness to disregard or despise a concocted mystery of God given to any God's servant.
If you don't understand the mystery and message of Genuine minister, it best to search the scriptures and find the truth for yourself rather than cutting yourself from the dispensational message God has given to His Body through His vessel.

And there is nothing new that God is doing that is not traceable to the scripture.
The Bible is the plumbline of judgement to check every move of God. Any move of God, manifestation and teachings that can't be traceable to the scripture should not be follow.
GROANING, TRAVAIL, SIGHS in The spirit are Age long mystery of God cut across In Scripture.
I believe in prayer
I believe in GROANING
I believe in TRAVAILS
I believe The Scripture

24/04/2025

Data analysis can be performed using various techniques, including:

✨ Descriptive statistics: Summarizing and describing the basic features of the data, such as means, medians, and standard deviations.

✨ Inferential statistics: Drawing conclusions about a population based on a sample of data, using techniques such as hypothesis testing and confidence intervals.

✨ Machine learning: Using algorithms and statistical models to identify patterns and relationships in the data, and make predictions or classify outcomes.

✨ Data mining: Automatically discovering patterns, relationships, and insights from large datasets, using techniques such as clustering, decision trees, and association rule mining.

Data analysis has numerous applications across various industries, including:

✨ Business: Analyzing customer behavior, market trends, and financial performance to inform business decisions.

✨ Healthcare: Analyzing patient outcomes, disease patterns, and treatment effectiveness to improve healthcare services.

✨ Social sciences: Analyzing social phenomena, such as population growth, economic development, and social inequality.

✨ Environmental science: Analyzing environmental data, such as climate patterns, air quality, and water quality, to inform conservation and sustainability efforts.

23/04/2025

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23/04/2025

🖥️ Data analysis is the process of extracting insights and meaningful information from data. It involves using various techniques, tools, and methods to examine data sets, identify patterns, trends, and correlations, and draw conclusions based on the findings.

Data analysis typically involves the following steps:

1. Data collection: Gathering data from various sources, such as databases, spreadsheets, or external data providers.
2. Data cleaning: Ensuring the quality and accuracy of the data by removing duplicates, handling missing values, and correcting errors.
3. Data transformation: Converting the data into a suitable format for analysis, such as aggregating data, creating new variables, or performing data normalization.
4. Data visualization: Using plots, charts, and other visualization tools to understand the distribution of the data, identify patterns, and communicate findings.
5. Statistical analysis: Applying statistical techniques, such as regression, hypothesis testing, and confidence intervals, to identify relationships, trends, and correlations.
6. Insight generation: Interpreting the results of the analysis, identifying key findings, and drawing conclusions based on the evidence.
7. Communication: Presenting the findings and insights to stakeholders, using clear and concise language, visualizations, and storytelling techniques.

18/06/2023

Father
Oh what love you have lavished
On me on mortal to be called yours
To share your image divine

What an honour
To be ordained and anointed
To be your man and your sceptre
Dancing the rhythm of your heart

Raymond E song lyric forever God.

14/07/2022

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14/07/2022

12/07/2022

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06/07/2022