Python, SQL, R, machine learning and many more. We hear these terms a lot these days. Some already have an idea about these terms and some still don't have any idea. And it's absolutely alright to not have an idea because these are relatively very new terms in the vast world of technology.
These are the tools of data science. Now, what is data science? Well, in layman's term, it is a science where data is processed using various techniques.
LET’S UNDERSTAND A BIT ABOUT DATA SCIENCE
Data science is about discovering the truth from large fragments of data. It helps to comb out unstructured and raw data and then turn them into bits which can give meaning insight into it. Data science helps in figuring out various patterns and trends hidden underneath all that pile-up of data.
From E-commerce companies to digital entertainment platforms every one of them gathers customer data, their choices, preference, demographic, activity log, etc. But how can all these data be helpful? It is helpful, it can make one understand their customer better, and give the business concerns an edge in marketing their products better. Not all products are meant for all types and kind, one need to personalize and cater to customers in such a customizable way. And this is what majorly data science is being used in.
HOW DATA SCIENCE PROCEEDS?
Data science is a chain of complex activities joined together, but it’s nothing that proper training and practice cannot teach you. Steps included in the entire process of data mining are:
The first step is to obtain the data, whether external or internal and then extract the data into a needed format.
Data cleaning and scrubbing are done for removing anomalies and deviations. This will give uniformity to the datasets.
Next step is of exploring the data, to find patterns and trends in them. Visualizing the data will need a lot of patience and of course and the keen eye to detail.
Then comes the fun part of machine learning, it is nothing but modeling the data into algorithms and statistical analysis. Not only to create a past view of data but to have a predictive idea for the future.
And lastly the most interesting yet challenging step. That is to explain the non-tech management people about what you have learned and how it can be used strategically. This step is very much based on your communication and presentation skills.
WHAT HAVE DATA SCIENCE ACHIEVED?
Till now data science has achieved a lot, to say the least. Tech world has found applications of data science in almost everything. Usually, the bottom line remains to sell the product according to the customer’s interest.
Data science is applied in:
Search engines
Face and voice recognition
Price comparison sites
Financial analysis In banks and financial organizations
Gaming etc.
CAN YOU BECOME A DATA SCIENTIST?
Yes, you can if you have an interest and needed grit for it. To be a data scientist one need to have mathematical and tech background, but most importantly should have acuity for business strategy. After all, the end result is to be applied to the growth of the concern. You should have the inquisitiveness to ask questions and discover new trends.
RESOURCE BOX:
There is a lot to learn in data science including various tools and techniques. And one always needs proper training to ace anything. If you are interested in this field where opportunities will only rise in the near future then data science course in Mumbai can help you get an in-depth view of data science.
These are the tools of data science. Now, what is data science? Well, in layman's term, it is a science where data is processed using various techniques.
LET’S UNDERSTAND A BIT ABOUT DATA SCIENCE
Data science is about discovering the truth from large fragments of data. It helps to comb out unstructured and raw data and then turn them into bits which can give meaning insight into it. Data science helps in figuring out various patterns and trends hidden underneath all that pile-up of data.
From E-commerce companies to digital entertainment platforms every one of them gathers customer data, their choices, preference, demographic, activity log, etc. But how can all these data be helpful? It is helpful, it can make one understand their customer better, and give the business concerns an edge in marketing their products better. Not all products are meant for all types and kind, one need to personalize and cater to customers in such a customizable way. And this is what majorly data science is being used in.
HOW DATA SCIENCE PROCEEDS?
Data science is a chain of complex activities joined together, but it’s nothing that proper training and practice cannot teach you. Steps included in the entire process of data mining are:
The first step is to obtain the data, whether external or internal and then extract the data into a needed format.
Data cleaning and scrubbing are done for removing anomalies and deviations. This will give uniformity to the datasets.
Next step is of exploring the data, to find patterns and trends in them. Visualizing the data will need a lot of patience and of course and the keen eye to detail.
Then comes the fun part of machine learning, it is nothing but modeling the data into algorithms and statistical analysis. Not only to create a past view of data but to have a predictive idea for the future.
And lastly the most interesting yet challenging step. That is to explain the non-tech management people about what you have learned and how it can be used strategically. This step is very much based on your communication and presentation skills.
WHAT HAVE DATA SCIENCE ACHIEVED?
Till now data science has achieved a lot, to say the least. Tech world has found applications of data science in almost everything. Usually, the bottom line remains to sell the product according to the customer’s interest.
Data science is applied in:
Search engines
Face and voice recognition
Price comparison sites
Financial analysis In banks and financial organizations
Gaming etc.
CAN YOU BECOME A DATA SCIENTIST?
Yes, you can if you have an interest and needed grit for it. To be a data scientist one need to have mathematical and tech background, but most importantly should have acuity for business strategy. After all, the end result is to be applied to the growth of the concern. You should have the inquisitiveness to ask questions and discover new trends.
RESOURCE BOX:
There is a lot to learn in data science including various tools and techniques. And one always needs proper training to ace anything. If you are interested in this field where opportunities will only rise in the near future then data science course in Mumbai can help you get an in-depth view of data science.
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