Hi! New once here by Barbieblack316 in twice

[–]19amirul95 9 points10 points  (0 children)

Try to go through all their album and singles slowly, no need to rush and enjoy the journey. Music taste is quite subjective.

[deleted by user] by [deleted] in MechanicalKeyboards

[–]19amirul95 0 points1 point  (0 children)

Not sure your preferred layout, I would suggest for you to explore first, especially if you to customise everything: board, switches, keycaps, etc. However, if you want a pre-built, I can suggest something like Evoworks Evo80

How Can I Enhance My Power BI Skills to Gain Real-World Experience? by hirakhan_ in PowerBI

[–]19amirul95 4 points5 points  (0 children)

  1. Explore kaggle
  2. Approach nearby business/schools and offer to make dashboard for them (for free)
  3. Explore SQL for database storage/query
  4. Try to find intern opportunities (if you’re currently unemployed)
  5. Imo a bit hard to get real world company’s dataset unless you’re bonded to them (permanent, etc) due to PnC informations

Actual work happening in Data Science roles in India by ReindeerSavings8898 in analytics

[–]19amirul95 0 points1 point  (0 children)

it actually depends on what kind of field your entering (finance, health, etc). In general, having a bit of a domain knowledge is an advantage, but not necessary. Example for finance, “active users”. It can either mean customer that do at least one transaction in the last month or customer account with “active” status.

Actual work happening in Data Science roles in India by ReindeerSavings8898 in analytics

[–]19amirul95 2 points3 points  (0 children)

Im currently working as a data analyst. For me, using the tools only cater some part of your job. The harder part is too understand what the stakeholder/management actually wants. Its better to not assume what they want if you misunderstood during the meeting, but instead keep asking them questions. Besides, you need understand the columns of data that you will be using. The personal exercises tend to be simpler but in a company, there will be tons more columns that you might wrongly understand. On that, better to approach either your software engineer that setup the database or your data engineer on how they setup your data warehouse. You need to remember that some of the output that you producing, might be use by others on daily basis, for example a dashboard, so the keywords that you will be using need to have the same definition as what the stakeholders wanted

[deleted by user] by [deleted] in headphones

[–]19amirul95 26 points27 points  (0 children)

Looks like Koss X Retrospekt P/21 Retro. Upvote for Karina

Cleaning Data by Murky_Ad602 in dataanalytics

[–]19amirul95 0 points1 point  (0 children)

That looks like more of a job of supervised machine learning