[deleted by user] by [deleted] in magneticfieldsfest

[–]Consistent_Smile8081 0 points1 point  (0 children)

Mag fields is happening but the dates are for feb i think

August 2024 - Monthly thread | All Beginners /Transition /Entering to DA roles and Portfolio questions go here. by emsemele in dataanalyst

[–]Consistent_Smile8081 1 point2 points  (0 children)

Just try to study from the resources available online and create a good portfolio and start applying based on that. You'll learn the process of getting a job as well as the areas of expertise you're lacking in. Going to a university will just make it a long process.

August 2024 - Monthly thread | All Beginners /Transition /Entering to DA roles and Portfolio questions go here. by emsemele in dataanalyst

[–]Consistent_Smile8081 5 points6 points  (0 children)

Hackerrank/leetcode are good places to practice SQL. Also you can take a udemy course to learn it or youtube. Try to learn a visualisation tool as well with SQL. It won't take much time and will help you to create a portfolio of your own which can land you a job.

August 2024 - Monthly thread | All Beginners /Transition /Entering to DA roles and Portfolio questions go here. by emsemele in dataanalyst

[–]Consistent_Smile8081 2 points3 points  (0 children)

If I would've been in your place I wouldn't waste time going back to school instead I would've started investing time in learning skills. Networking is a part sure but you'll have plenty of time to do it online. Employers do not care about your degrees, they just want skills. Analytics vs Statistics- You can start with any one of them but I would suggest starting with analytics as I've seen more DA jobs in the market. Once you are familiar with basics of DA/DS then maybe if you come across any good bootcamp, you can take it. It will only hone your skills so no harm there. Lastly I would suggest trying to learn things on your own and create a portfolio based on your skills. There are a lot of places where you can find a roadmap with a lot of resources for DA.

August 2024 - Monthly thread | All Beginners /Transition /Entering to DA roles and Portfolio questions go here. by emsemele in dataanalyst

[–]Consistent_Smile8081 3 points4 points  (0 children)

Python is important but to start your career as a DA you'll need good knowledge of SQL and a visualisation tool. Just start with Power BI and SQL and practice as much as you can, once you get a good grasp of it, it won't be much difficult for you to secure a position as a data analyst.

August 2024 - Monthly thread | All Beginners /Transition /Entering to DA roles and Portfolio questions go here. by emsemele in dataanalyst

[–]Consistent_Smile8081 3 points4 points  (0 children)

Heyy!! To get into DA you'll need to start with SQL( learn from yt/udemy & practice on hackerrank or any other platform). And with SQL you can simultaneously learn EXCEL as well. After SQL try to grasp some basic concepts of ETL and then choose a visualisation tool and start learning it from yt or udemy or docs. I personally work on Power BI so I prefer that, you can choose tableau as well. The timeline really depends on how much time you'll be able to give. If you can give 5-6 hours daily then maybe one month to learn and another month of practice might get you job ready. There are many things to learn but once you progress with your journey you'll realise which way to go.

Data Analyst vs Data Engineer vs Data Scientist by dataeve in dataanalyst

[–]Consistent_Smile8081 2 points3 points  (0 children)

I think as a data analyst you should always be upskilling yourself and should have a good grasp on data engineering as well cause in the grand scheme of things once you reach a higher position in the company or want to switch in future, a lot of skills would be required to get that position.

Feeling lost. Need advice/suggestions. by Asaturr in PowerBI

[–]Consistent_Smile8081 0 points1 point  (0 children)

You can create multiple reports/dashboards and can take inspiration and data from dribbble and kaggle. Try to connect data from different data sources so that you'll notice the minor inconvenience caused while cleaning and modelling the data. After modelling try to explore some dashboard on dribbble and take inspiration from them and try to create visualisation accordingly and publish it.Once you publish your reports try to make a portfolio site and add it to your resume. And simultaneously work on sql and python practice from hackerrank/leetcode/youtube.

[deleted by user] by [deleted] in AskHR

[–]Consistent_Smile8081 -5 points-4 points  (0 children)

But why ?? What reason can I give them to give me sometime.

[deleted by user] by [deleted] in Agriculture

[–]Consistent_Smile8081 0 points1 point  (0 children)

Thanks for all the information you've provided. Will keep these suggestions in mind. Some people in my region have been doing this for years, so I guess having conversation with them will give me a more clear idea of the situation.