Abdulwahab Lukman

Finance bro | Multi-asset macro investing | Machine Learning | #ABUsite

[moneykudiego∞ @kudiegomoney]

I built 𝐓𝐡𝐞 𝐒𝐪𝐮𝐚𝐫𝐞 because Nigerian market talk is spread across too many places.

Prices are in one place. Company announcements are in another. Investor sentiment can't be measured.

The Square brings it together, for every Nigerian retail investor. Follow a stock and see its price, its official company announcements, and what other investors say about it, all in one place. Share your own view too.𝐁𝐨𝐧𝐝𝐬 𝐚𝐧𝐝 𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐢𝐚𝐥 𝐩𝐚𝐩𝐞𝐫𝐬 are coming next.

But an app like this is only as good as the people in it. Investors need to hear from the people who 𝐰𝐨𝐫𝐤 𝐢𝐧 𝐭𝐡𝐞 𝐦𝐚𝐫𝐤𝐞𝐭: analysts, fund managers, traders, brokers, treasury teams, and economists. Those views should not stay in private chats. They should be in the open, right next to yours.

That is what the professional badge is for. It shows readers that a view comes from someone who works in the market. One year or more in finance qualifies. The badge is earned on merit, and my team reviews every application.

How to join:
1. Everyone: register at https://t.co/VWBq5vnCkX.
2. Professionals: after you register, apply for the badge here: https://t.co/nky2aBjuQH

[moneykudiego∞ @kudiegomoney]

https://t.co/VWBq5vnCkX

If you invest in the Nigerian market, you know the problem.

The talk is in too many places.

Prices are here. Filings are there. The thesis is in a group chat. Commercial papers, bonds, and eurobonds are almost not in public view.

I built The Square to fix this. It is for every Nigerian retail investor.

Today, it covers NGX equities. You read the session. You tag a name, like $GTCO. You mark it bull or bear. You see the filing before the discussion moves on. Dividends, FX, oil and gas, and cement, etc, each have their own community.

Everyone has a voice. You do not need a stock pick. A view on FX is good. A view on a sector is also good.

Professionals add a working view. Analysts, portfolio managers, traders, brokers, treasury teams, and economists have a professional badge. You read their views in the same place where you post your own.

Equities are the start. Fixed income is next: commercial papers, local bonds, and eurobonds.
Join at https://t.co/VWBq5vnCkX.

Do you work in finance? One year or more qualifies you for the badge. You earn it on merit. Sign up, then send me your name, firm, and handle.

[African Economic Scholars Program (AESP) @aes_program]

Are you a recent graduate or a final year student interested in policymaking using evidence based analysis?

AESP offers a training ground for any students interested in becoming a policy analyst for the holistic development of Africa.

[Name cannot be blank @hackSultan]

If you’re doing NYSC or about to your NYSC and you need the following :

1. You want to start a tech career.

2. You need a laptop because you can’t afford one for your tech career.

3. You need a large% learning scholarship to a great tech institution.

RT this and DM me ASAP.

[TheNHEF @TheNHEF]

Application for the 2024 Nigeria Higher Education Foundation (NHEF) Scholars Program is now open!

Each year, the NHEF identifies talented young Nigerians from our various Partner Universities who have demonstrated strong academic excellence and well-roundedness in both

[Abdulwahab Lukman @abdul3kan]

@datagenotype Interested 📌

[Today I Learned @TodayiLearrned]

Everything You Can Do in Excel

[Tom Mitchell @tommitchelldata]

How we write SQL code vs how it's executed:

Written order:

- SELECT
- TOP
- DISTINCT
- FROM
- WHERE
- GROUP BY
- HAVING
- ORDER BY
- LIMIT

Execution order:

- FROM
- WHERE
- GROUP BY
- HAVING
- SELECT
- ORDER BY
- TOP/LIMIT

[Tom Mitchell @tommitchelldata]

Dashboards allow multiple pages for a reason

It doesn't all have to fit on the same page

Minimal dashboard designs (4-6 visuals max) has the highest impact

You might think you're adding more info by increasing number of visuals

Actually, you're limiting what users can absorb

[Python Coding @clcoding]

Free Web Scraping using Python
🧵:

[Bọrọkini Rogers 🇳🇬 @Femi_OfMainland]

Learning Data Analysis Expressions (DAX) can seem challenging at first, but following a structured approach can make the process easier. Here's a straightforward guideline to learn DAX.

A Thread 🧵

#DAXInPowerBI

[Abdulwahab Lukman @abdul3kan]

@PicturesFoIder Mike Ross 😂😂

[Interesting STEM @InterestingSTEM]

Best YouTube Channels To Learn Data Analytics

[Interesting STEM @InterestingSTEM]

Data Analyst Vs Business Analyst Vs Data Scientist

[Anders Liu-Lindberg @LiuLindberg]

Learn Financial Analysis 101 for free.

Save 1,000s of dollars.

Let's dig into the curriculum.

6 Modules and 28 Lessons 🧵.

[Interesting STEM @InterestingSTEM]

Hard Drives:
SSD Vs HDD

[Sasi 📊📈 @freest_man]

EDA is used to investigate and understand the datasets before diving into more advanced analysis.

Exploratory Data Analysis is crucial, as it unveils:

>Characteristics of data

>Aids in the formulation of hypotheses

>Identification of patterns or anomalies

The steps of EDA include:

1. Data Familiarization

The first step in EDA involves understanding the dataset at hand.

This includes exploring the size of the dataset, the types of variables it contains, and an overview of the data's statistical properties.

2. Data Cleaning

Data quality is important!

In this phase, Data Scientists identify and rectify missing values, outliers, and any inconsistencies within the dataset.

This meticulous process ensures that subsequent analyses are based on robust, accurate data.

3. Preliminary Analysis

Examples:

Univariate analysis to learn about the distribution of the variables

Bivariate analysis to uncover potential associations or dependencies

Multivariate analysis like PCA to reduce dimensionality

These analyses serve as an excellent basis

4. Visualization

Visual representations, such as heat maps, bar charts, and scatter plots, are integral to EDA.

They help in conveying insights more effectively and can reveal patterns that may remain concealed in tabular data.

5. Hypothesis Formulation

EDA often leads to the formulation of hypotheses about the data, which can then be rigorously tested through statistical methods.

Finally, the insights garnered through EDA are documented and communicated effectively.

This includes clear explanations, visual aids, and actionable recommendations for further analysis or decision-making.

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That’s all for now!

- Smash the LIKE button and REPOST

- BOOKMARK because you’ll definitely want to revisit this again

- Follow me for more posts like this

[Today I Learned @TodayiLearrned]

Excel Tips

[Interesting STEM @InterestingSTEM]

Checklist To Become Data Analyst

[Àgbà Akin @Kynsofficial]

Can tech make you a millionaire? Simple answer is yes, but how?

Create a calendar from 1 all the way to 12th month.

Do a research and find a tech skills that aligns with your current career, trust me there’s always one.

Start learning and practicing consistently, for 8months

Remember I said “consistently”, this means you have to restructure your life, wipe away any current excesses of time wasting or unproductive activities to place absolute focus on your new path.

After 8 months, start applying for internship, if you need to go as far as volunteering reasonably to project you believe in for free to get a firsthand experience, go for it.

Connect with people that can recommend you for jobs! Recommendation gets people jobs faster than any application ever could.

Most importantly, build in public, this is to ensure that the right people are aware of your transition into the tech and can accurately mention your name in a table of opportunities.

Good Morning Dearests.