@antomukuwa It's worth studying Takealot, Jumia and Amazon's journeys. This is a capital intensive business, which takes years before profit. Takealot took 15 years. Jumia is 14 years old and aiming to become profitable this year. Amazon took 7 years for first profits!
@MicrosoftLearn The ease of converting CSVs to tables is impressive. Especially after years of nightmarish experiences of doing it in SQL Management Studioπ
@zimcelebs1 This response is a deep insult to the families and the departed. It's like murdering someone then as reparations, all you offer is a coffin to bury them. What kind of logic makes that Ok?
@CrimeWatchZW The man is evil. Has he shown any remorse at all? The death penalty is dangerous when a mistake is made, but what about such a case when someone openly confesses to such horrors? Hopefully he doesn't rejoin society.
@ZimLingo In school we start with known answers, so if you are focused and disciplined you will pass. In real life, a lot is learnt through the cycling of failing, learning and retrying. Most who were brilliant in school aren't comfortable with risk nor failure so...
@MicrosoftLearn Entity Framework. https://t.co/wUNgEdcwJJ is more than sufficient and faster, I like dealing directly with the database. I feel EF is now even more unnecessary given that AI now writes accurate Sql queries.
@simplytariro@antomukuwa A degree is just a foundation. Degrees like yours and mine (Math), need you to realise this and do some professional courses on top. Informed employers only really care about good skills, not how you got them. So professional courses + a project portfolio
@haider1 No one who has ever written code, especially for enterprise systems, would believe this. Maybe in the future, but not now. LLMs are very helpful but they need checks and guidance, then at times you need to get your hands dirty.
@OGpepe8@vheeorji22 A good way to see what is expected in different data analysis roles is to just go on job sites. Although Tweets generalise data analysis careers, it's not a one size fits all. The majority of jobs simply focus on kpis and other business level insights.
@Kifego@vheeorji22 No. That's where domain knowledge comes in. E.g. in Retail you want to know fast vs slow moving, dead stock, stock value by category, turnover, shrinkage etc. If one is serious about data analysis, pick a domain and get to know it from a business perspective
@Kifego@vheeorji22 If you add GA to your site, do you need to be a mathematician to understand the rate at which people drop from a page? As an MCT, I have trained people from many fields in Data Analysis. Data Science is a different story. Data Analysis is field agnostic.
@Kifego@vheeorji22 I have a degree in Math and do both Software Engineering and Data Analysis. There are fields where Math is useful for the data analysis, but for most business domains you just need to know your kpis and measures. A simple counter example: Google Analytics.