EXCITING NEWS - A DEEP DIVE INTO NUMBERS AND DATA
Back in February (25th, to be exact), I received my admission into the Master of Science in Financial Engineering (MScFE) programme at @worldquantu, WorldQuant University (WQU), Washington D.C., USA.
For those unfamiliar with WQU: it is one of the very few fully-funded, DEAC-accredited online universities in the world offering a graduate-level degree in Financial Engineering, completely free of tuition. Students are selected through a competitive Quantitative Proficiency Test, and the programme builds world-class skills across financial markets, econometrics, derivative pricing, stochastic modelling, machine learning in finance, portfolio management, risk management, and more.
Classes started the first week of April, and honestly? It has been A LOT. The rigour is real. But so is the growth.
I'm currently in the first course, MScFE 560: Financial Markets, covering trading, pricing, hedging, asset classes (equities, derivatives, FX, ETFs, crypto, commodities), and risk fundamentals.
I want to be transparent: I'm not yet calling myself a fully matriculated MScFE student, that milestone requires successfully completing the first two courses with an 80%+ cumulative average. But I believe in documenting the journey honestly, from the very beginning.
To WQU, thank you. Tuition-free doesn't mean low quality. The depth of the curriculum, the calibre of the instructors, and the global community of learners you've built is extraordinary. I don't take this opportunity lightly.
On the data analytics side: I've had to slow down on pending Data Analytics projects and courses to give this programme the focus it demands. I'll pick those back up during breaks. The quantitative skills from this programme and my Data Analytics work are deeply complementary.
This is the long game. And I'm playing it.
π Screenshot of admission attached.
It can only get better πͺ
#MScFE #WorldQuantUniversity #FinancialEngineering #QuantitativeFinance #DataAnalytics #LearningInPublic #NigerianInFinance #emycodesanalytics
Recently, I'm falling in love with Power BI, especially the Power Query feature..
@Microsoft Power BI Data Analyst is a hot deal, fully loaded.
I'm truly getting better in DATA ANALYTICS daily
I strongly recommend this Microsoft course to any Datamind who desire to master Power BI.
I will share some of my knowledge, experience and projects solved soon.. π
#DataAnalytics #PowerBI #MicrosoftPowerBI #EmyCodesAnalytics
A Data Analyst must think analytically and numerically.
In mathematics, Numbers are generally categorized into two methods; Analytical (Absolute/Exact) Method, and Numerical (Approximate) Method.
Both methods are relevant and useful in Data Analysis.
@officialladi_T A Data Analyst must thinks analytically and numerically.
In mathematics, Numbers are generally categorized into two methods; Analytical (Absolute/Exact) Method, and Numerical (Approximate) Method.
Both methods are relevant and useful in Data Analysis.
Registration is now open for the second edition of the Data Protection Officers (DPO) training and certification programme.
Take the next step to become a Certified Data Protection Officer.
Scan the QR code to register or visit: https://t.co/0eX0mRztGF
Happy New Week, Datamind!
This week, I will;
1οΈβ£ Continue and get better in Data Analytics with Power BI,
2οΈβ£ Apply the new skillset to solve and analyze real world data,
3οΈβ£ Start the IBM Data Analyst Capstone Project,
4οΈβ£ Share my works for constructive criticism, then call it a wrap for the week.
So help me God. Amen!
It keeps getting better β