Відео

Yep, we humans can also do that if we only listen to information that supports our view point. It's just more prominent when AI does it.

That is an excellent point, and I've also experienced this when budgeting. Much easier to get contractors or an agency signed off then a permanent team, as it's not a fixed cost and if budgets are tight the following year, that expense is easy to cut from the budget.

Happy reading Seth.

Thank you

Thank you

Thanks

Thanks for the summary

Welcome sir 💖

Glad you found it useful

Jazak Allah Khair Br. Mohammad. My love and prayers to you all in Palestine.

Nice one

Thank you, hope all is well

I rarely do live coding sessions as you can't really test people with real-world problems, only model exercises, so for me, these do not really prove much. I prefer to understand how they would solve problems and this should mean using resources found on with Google or ChatGPT

Thanks for watching

For mid level roles, the 3rd is optional but for senior it is. But 2 and a half hours is good, some companies have technical tests or assessment days, which can double that time.

Thank you, I appreciate your support

Walay kum as Salaam Make you learn the basics, Excel, SQL and some visualisation, which it seems you are doing with PowerBI. Next you need a portfolio and some real world experience Check out this video ua-cam.com/video/EDzA-MKkHCU/v-deo.html

I actually have a video planned for this, just not had a chance to film it.

@@Shorful Your content about data is awesome.

@DanishAli-it3lv thank you

Thank you

@@Shorful Can you tell me how much we should learn Excel,SQL and Power for data analyst job.Because your have solid experience in these tools.

For Excel, I would expect you to be quite proficient. You should know how to do v/hlookups and arrays well. There shouldn't be be anything that you can't do or couldn't find the answer to and do in Excel. SQL you should know all the basic functions from sub queries to joins. PowerBI you should know how to create a dashboard, be able to connect most data sources and have some basic knowledge of DAX.

It is harder to get a data analyst role, especially if you are new. However, with the way the economy is, it seems that all data roles are scarce. Once the economy picks up, I believe roles will return. I agree, it won't be as easy as before, but these roles are not going anywhere in the short term.

I think there will always be entry level roles. Things are tough now as the economy is not doing so well, but entry level roles will return in greater numbers when things improve.

Thank you for your comment. I will do this when I get a chance.

Many many thanks Sir.

Thank you

There will be more focus on data analysts who can answer ad hoc business questions. With many BI tools having generative AI capabilities, the need for analysts to run regular reporting will decline. There will also be a need for data analysts who can help with data quality and governance issues.

@@Shorful The answer I wanted to know. Thank You.

Thank you, yes that summarises the video

Sure, will do one on that soon

Yes, I am.

@@Shorful Nice accent and plz keep uploading more videos❤

Thank you

I sometimes take inspiration for my videos from questions asked by my viewers.

Oh wow, congratulations and good luck in your role. I'm glad my advice helped.

wa ʾantum fajazākumu llāhu khayran Please keep watching and share my videos. I'm trying to grow my channel

It's not possible to share client deliverables as most of the work we do is under NDA. However, you can easily find case studies on the Internet.

There is a whole host of reasons, some listed below, but I am sure there are many more 1. They don't have the skills with their current team 2. They don't have capacity 3. They don't want to do the task 4. The sponsor of the project doesn't want the in-house team to do it 5. The sponsor of the project doesn't know about the in-house team 6. The CEO or someone senior wants to use an external team for whatever reason 7. The consultancy has a reputation, and the company wants to test them 8. The company is thinking of outsourcing some or all of the analytical activities Like I said, there may be more, but just some I have experienced or know about.

This video should give you some ideas ua-cam.com/video/A7sWz4wQy-4/v-deo.html I'll also do a specific video on how to find clients and nurture leads for a data agency

I wouldn't advise starting any data agency without some practical work experience, paid or unpaid. If you do decide to start without any job/work experience, then do as much training as you can. Also read case studies on now digital analytics has helped businesses, so you understand the value it adds. Finally, speak with digital analysts. Network with them and ask them about what they do and what tools they use.

@@Shorful thank you very much, I have a lot of time right now and have been learning data analysis tools from the last 6 months and discussing with some digital analysts so can you tell me what type of projects one should do?

A few projects I would do would be 1. Tag a website and capture some events. 2. Build a marketing funnel dashboard in GA and Looker Studio, which analyses key conversion steps 3. Take about 12 months of data and answer a simple business question of how engagement on the site changed over the last 12 months. 4. Create a monthly or quarterly business performance review. Think about what a business would want to know every month or quarter.

@@Shorful thanks very much ❤ Shorful, your channel has been a great help !

My pleasure Please do share my videos and ask people to subscribe. I'm trying to grow my channel.

Hi Thanks for watching the video and the question. Unfortunately, there is no recommendations for each part of the roadmap as its a roadmap and not a syllabus. My recommendation is to do some research on each stage and then work out what type of role you want, then determine the best course/resource for each part of the roadmap from your research.

@@Shorful or it would be course careers 500$ course

@Mullaa-uj4kg it is as good as any other course. However, my advice is to check with prospective employers what they are looking for. Only do a course if it either adds to your knowledge or value to your CV.

Thank you

That's a good question. From an ethical perspective, I can provide some guidance, I'm not a scholar of Islam to provide an Islamic perspective, but I will assume ethical practices on the whole will align with Islamic principles. I'll try and do a video on this, but in terms of scraping data, most websites will have in their policy if you can do this and if you can what are the limits of that. So read those, and that should guide you on what is ethical/Islamic in terms of scraping data. The next part is how you conmercialize the data. I believe, rather than just sell the raw data, try and package it or add some value, which means that the service or product you are selling is more than the raw data you have scraped.

@@Shorful Thank you for your insights on ethical data scraping and commercialization. You rightly point out the importance of adhering to website policies and enhancing the value of scraped data before selling it. This approach not only aligns with ethical practices but also adds a unique touch to the data used. Looking forward to your video for more detailed discussion!

It's a bit tougher now going in late to data science then it was before. But if you can gain the skills, build a specialism then it should be possible. But you have to differentiate yourself from graduates who have a relevant degree.

@@Shorful I’ve watched a few of your other videos where you’ve recommended building a portfolio and relevant work experience to differentiate myself from candidates with degrees. Would you still recommend that route or do you think going the degree route would be best ? Thank you for the insight !

It all depends on your circumstances. If you don't have a degree, then having one to get into data science makes sense, and you could even consider an apprenticeship. If you have a degree, then a Masters in Data Science or related would be a good move. However, there is no guarantee of a job, as it also depends on how you write your CV and perform at interviews. Look at a few job descriptions of roles you'd like to apply for and determine what you are missing and then decide how you get those skills.

I think it's a USB stick

Thank you

I don't have much knowledge about this certificate, however, in general only do a course if you believe it will teach you something you don't know. So go through the topics and if many of them are new to you and also you believe you need to get a job or do your existing job then do it. If it doesn't add anything to your existing knowledge then it's probably not worth doing.

@@Shorful Thanks

You can email me on shorful@bedatasolutions.com or connect on LinkedIn www.linkedin.com/in/shorful

Thank you, I'm hoping to make some more soon

Thank you, I'll try and make some more soon.

Hopefully, I'll start publishing some more videos soon.

Most digital analytics data will be collected by systems like GA or Adobe Analytics, they can be extracted to databases, and GA encourages BigQuery. However, what you need is SQL skills at this stage, knowledge of APIs and connecting to visualization tools like Looker Studio, Tableau or PowerBI. If you want to utilise your Python skills, seek to work in the field of customer analytics, analysing consumption data, like retail, subscribe services and account based businesses, like banks, etc. However, knowing the tools is not enough, you will need to have statistical knowledge.