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Hello, I am currently learning data science through an online platform named iNeuron. I began my journey in September 2023 and am now learning scraping, having completed the Python section. I think my learning pace is slow due to my lack of an IT background, but I am determined to pursue a career in the data industry. Could you please advise me on the appropriate pace to learn all the necessary skills, and which ones are the most important to master first to at least become a data analyst, as I need a job as soon as possible. Your follower, Sandeep.🙂

Sir i also request you to make a video on data engineering as your experience will be boon for mee❤

Sir plz help me for choosing the elective course Elective-1 KCA011 Cryptography & Network Security KCA012 Data Warehousing & Data Mining KCA013 Software Project Management KCA014 Cloud Computing KCA015 Compiler Design Elective-2 KCA021 Web Technology KCA022 Big Data KCA023 Simulation & Modeling KCA024 Software Testing & Quality Assurance KCA025 Digital Image Processing Keeping in mind i have to go for data engineering role in future

I have been following your videos and channel for quite a while, and honestly, it's absolutely fantastic. I have a suggestion: Would you consider starting a series on applying ML concepts to real data? Having both theory and hands-on examples together would be incredibly valuable. I work in the tech industry with access to a lot of data, so I would love to learn from your projects and put these ideas into practice. Thanks again for making these concepts so accessible.

nice information. one comment: many big tech in Silicon Valley are now rto5. in the process of moving form hybrid to full rto

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I have done a masters in (PDS) parallel amd distributed systems , CSE . Unfortunately i have no realted knowledge of my domain of masters aside from CSE as it comes under it. So am trying Data science now. Am also graduating this year. Can you guide me or give me some tips regarding this. Thank you.

Sir I am an aspiring data scientist and now doing my masters in data science I have no background in it but trying my best to do all the necessary things , please upload more and more videos on data science career path

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I really like all your videos.All are excellent... Please continue the Data Science Series.

Great video

What to do when you don't have experience?

can you please guide us that being in pakistan as a new grad how to get job in big international tech companies ?

People need to understand this: Having big names on your resume and more than seven years of work experience in the same field will get you a job no matter what. The problem arises when someone has less than three years of experience and no big names to their credit.

I am already working as a content Moderator for Meta Where Can I apply Remote Jobs Please Suggest ?

The demand never matched the supply, that is why tech hiring was able to expand. We know from DOJ vs Facebook 2020, that Facebook recieves hundreds of resumes for every job. Of those hundreds, by Facebook's own admission to Federal investigators, 30+ are fully qualified for the job (that is pre-pandemic numbers, and before the tech hiring boom Anwar speaks of). Now Facebook had no issues throwing away 99.7% of the fully qualified candidates that applied to Facebook (according Facebook's own HR staff talking with Federal Investigators). But most of tech at the time (I know this was true at my company) were easily finding 10-15 candidates for every job) Think about sports, many people want to join a sports team, few ever get a chance to even play minor league professional. That's where we are right now with software development jobs, and it will just continue. The reason is because many companies don't even want to pay minimum wage for software developers, and instead want to outsource 50% or more of the work to India. Where a developer can be hired at sub-U.S.-minimum wage. This happens because unlike India, the U.S. protects the dollar against inflation by raising interest rates in a massive Federal Market manipulation. Every U.S. industry needs tariff protection because of this massive market manipulation. And the dollar never equalizes against the value of other currencies. Hence, Americans are always more expensive. And if your job can be Outsourced, it will. And it gets worse, because we give a 15% tax break to hire a foreign student over a local student. Why does this tax break exist? Because Bill Gates and other Tech billionaires lobbied the Obama administration for it. Besides a tariff on subsidized software imports (subsidized by the idiocy of the Fed preaching free markets, while manipulating the same markets at the Federal level (to help their banking buddies)). We need to extend the OPT discount to all U.S. students and the unemployed. Every tech job requires some training, and every few years, tech creates a new platform (currently it is LLM and Generative AI). If we gave the that 15% discount to everyone, as part of an apprenticeship program, this would encourage industry to train people into the new tech platforms (something they used to do, before OPT and H-1b). If the U.S. worker leaves early, the worker pays back the discount. And this would counter the market manipulation that occurs when people on an OPT (waiting for an H-1b) or on H-1b (waiting for Green Card) experience, that makes foreign workers, typically from one country with a huge Green Card back log, have over local, better qualified citizens. And why do we know these locals are better qualified. Read about it the DOJ vs Facebook 2020. In that case there were 2600+ cases of discrimination against better qualified local engineers by Facebook. Over just the 1.5 year period covered by the investigation. And why do we know they were better qualified than the foreign workers (who stole the job), because Facebook's own HR personnel admitted this to Federal Investigators. And told the Federal Investigators they were forbidden to forward the resumes of the better qualified local engineers, to hiring managers hiring foriegn worker into similar jobs. Even though the local candidates were better qualified than the foreign workers who were given the job (simply because the foreign worker was preferred because they were trapped, to Facebook, while getting stuck in the H-1b and Green Card visa cue. And such actions, by Facebook, violate Federal civils rights and qualify as discrimination based upon nationality, because you are not allowed to take visa status into consideration as a qualification when you hire workers in the United States. BTW, Facebook had no issues massively increasing its workforce post 2020, maybe the C-suite got the message, there are plenty of highly qualified local engineers, and bigoted managers are the reason there is a complete illusion of a tech worker shortage. The tech worker shortage is big discrimination lie, against local U.S. engineers, caused by the lies of middle manager who basically hate Americans and prefer people from their own country (because they can become indentured to them).

Thanks for sharing, I think Data Scientist need to hav Data engineers skills like databricks/Azure Data Engineering and Data analyst skills like excel.... in addition for future...by Sr. Data Scientist, Ph.D., What you think on this?. In simple terms, single man doing everything includes dash board creation or Gen AI

I really like what you are doing, please keep doing what you doing

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Great intuitive

Hey sir, any update on the market in October, I've lost all my confidence, not getting interviews was heartbreaking until I found there's no suitable jobs to apply for as an entry level developer, how many people are out there like me I don't have any clue about this but I'm doing every possible thing to get a job. If you have any updates regarding this, your advice really helps. Thanks for good work for the community

Super Intuitive.

00:05 Avoid trying to master every data science skill 01:18 Avoid deep diving into one vertical initially 02:34 Learning to code is essential for aspiring data scientists and machine learning engineers. 03:51 Programming skills are essential for data science interviews and career advancement. 05:06 Understanding foundational concepts is crucial for deep learning 06:23 Communication is essential for every data scientist 07:39 Prioritize communication skills over technical knowledge 08:56 Start with a business problem, not technology

Thank you so much

Thank You So much

wow, I got a good intuition of recall and precision. not gonna lie, still feeling a bit lost about roc

Cisco just laid off 10,000 people!!!

Thank you So much🙏

Good Video

sir please reply i am also preparing for data science , did age matter in this fiedl , i am m22 graduate from india .

Just wow 🔥

Another Banger! While making a project on stock predictions I needed to calculate the probability of the prediction for a single row and that's when I fully understood Sigmoid. It makes so much of sense and seeing this explanation, it makes all the more sense. Thanks for the video.

This is exactly the kind of teaching style i like. going through the explanation first taking the hard stuff away to understand how things work in the first place. Subscribed!

Thank you So much🙏😊

just keep posting.

HI Sir, nice vlog from you, recently I tried for Data science interviews where interviwers are askig for gen-ai skills, a kind of confusion created by companies between gen-ai profile & data science,pls clarify.

Any idea about Mtech Data science in BITS PILANI

Very good advice Anwar. Thanks for bringing it limelight on your expertise and experiences in one frame.

Sir I am from Odisha India I am learning data science for the role of a data scientist , as you told in your videos I am focused on the core skills building communication skills statistical knowledge mathematical knowledge and the coding ability rather than just knowing the fancy stuffs, I am very glad to listen that these are also the important points according to an experienced professional in the industry. Please sir keep posting new videos they are very helpful.

Is DSA is required?

Sir is knowledge of Data Structures and Algorithms are necessary to become a ML engineer?

I am 2004 BE(IT) passout, I have experience of core software development for the last 20 years in java. In 2021 I started to learn data science. I initially started my journey with Machine Learning,then done deep learning. Now in order to learn ML, you need to be very strong in Linear Algebra (metrices and vectors), probability. Then, you need to learn basic level stats. Then you need to spend lot of time to analyse various datasets, apply various data cleanup, prepare many plots to bring insight about the data. Then prepare ML/DL models and do hyper parameter tuning, then do modular coding in python then do MLOPS, and cloud management. This took to 3 years. Believe me, the journey is very very very difficult.

An insightful message , request you to also come up with a road map on AI ML

As far as my experience is concerned if your base is strong , the advance tech is easy to upskill . So as per my suggestion i would suggest to spend as much time on basics .

Ok so as a stammerer data science is not for me