Okay, so the main problem that data analyst having is the first mandatory is we need a data for analyzing, so we need to collect good and rich data from various sources based on the business problem and requirement. So that's the main thing first, after that, the secondary thing is we need to validate the data. So whether the data is clean, or whether it's not clean. So we need to perform some operation to clean the data, before we storing it in the database, whether it's SQL, or maybe it's a no SQL, whatever made. So these are the most important thing. Most important problem lies first. And secondly, then we can perform many operations like may that we can do the visualizations, or maybe we can perform machine learning or deep learning based on the business requirements. So collection of data and cleaning the data is the most hardest job right now.
How to get valid and reliable data or source and how to screen then and verify obtaining data?
Okay. So, there are two types here. So, one is while you are studying or practicing, you will you will try to get the data from internet like kaggle or somewhere so those data will be much cleaner 90%. So but in the real world, that's not the scenario. So it will be you will collect data from multiple sources, it will be like structured data, and it will be unstructured data. So it will be more messy and you need to clean up those data and you need to join it join everything as clean data source in the database. So the question the answer for the question is so you can't get clean data. So we need Make the data to clean as much as possible in in the real world. Okay.
How to become an expert data analysts just like you can you guide us please?
Expert! even I can't see me as expert, but like, you can't be an expert in this field mainly in data science or even in IT, because each and every day new technologies is evolving, and we need to learn and we need to adapt. And it's a learning process. And it's a learning goal. So to become an expert, or to become a real world touch unit, what I do and most of them will do, like you need to practice much apart from office work apart from your learning time. Like, you need to make some time to learn something. And you need to make that has a habit and you need to schedule something to to make something new new technologies. So that will make you to become an expert at one day. So commitment, discipline and practice that's make something that's that will make you much more pool and that will go through your process. text domain.
Is there any useful software for market research analyst apart from SPSS software?
Okay, SPSS, apart from SPSS, you can feel good in coding, you can afford R or even in Python. So that's the best thing I would recommend. And nowadays, nowadays, like most of the visualization, tools like tableau, Power BI, even the statistics inside it, so you can use that or even you can use Excel, which is much more efficient. So these are the market leaders but nowadays most people using R and Python because everything can be done using the coding nowadays much easier.
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