In this post you will know to become a data scientist what technologies required to learn. Now a days many beginner do not have idea where to start? and what are best source to learn these skills? In this post you will get complete information what technologies should i learn to become data scientist.
A data scientist is a professional responsible for collecting, analyzing and interpreting large amounts of data to identify ways to help a business improve operations and gain a competitive edge over rivals.
To become a Data Scientist, you need to learn these skills --
Then, how they apply those skills:
So, Data scientist mine all the significant structured and unstructured data from Big data. Then, clean that data, analyze that data and generate patterns and using different approaches like statistical analysis, predictive analysis to machine learning using some tools to extract critical information from the collected data sets to help organizations to improve revenue, customer experience and can make business’s performance better.
As you can see the extensive list of skills written above is not easy to learn in six months if you are a total beginner or from a non-technical background. But if you have some technical and data operations knowledge then it would be easier for you to some extent and would take about 3-4 months.
Frankly, knowledge of these skills would not be sufficient if you really want to get going with data science. You need to have practical experience to handle data because data is an asset of any organization and no one will want to hire a person who has knowledge but don’t know how to apply it in reality. Seriously, because practical implementation and to apply algorithms is not a simple task. Data science role demands good hands-on experience.
You may be a professional, fresher or maybe a graduate from a non-technical background. So, here you may have a question that how will you learn to implement these skills. The solution to it is Projects.
How? because while doing projects your mind will go through different situation same as when you work as a data scientist. Hand-on experience will give you a chance to access and enhance learned skills and then you can speak confidently ‘yes I know data science’.
Projects will give challenges and that’s what makes learning interesting.
These are some online platforms where you can learn and work on projects of data science career path:
Kaggle
Kaggle is an online community of data scientists and machine learners, and kaggle is owned by Google. Kaggle allows users to find and publish data sets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers and provide challenges.
edwisor
edwisor is a platform where you can learn data science in 3-4 months from scratch to advance while working on some real data science projects designed by industry experts. For hiring of their candidates edwisor provide guaranteed interviews with big companies like paytm, evobi automations, Goldman Sachs and 250 more. You can access the free trial version to know about all the basics and also find job opportunities.
Udacity
Udacity offers one of the best nano degrees in data science. If you want to learn all the skills needed to be a data scientist udacity will help you through their nano degree, Udacity also provides projects and assignments designed by industry experts to help you to get into data science in collaboration with kaggle and flexible learning hours. You can from start here to become a good data scientist.
Data camp
Data camp believes in the strategy of learning by doing. Its is a platform provides short coding exercises and projects to make you expertise in data science field. Their learning process is amazing and dedicates you totally to learning.
A data scientist is a professional responsible for collecting, analyzing and interpreting large amounts of data to identify ways to help a business improve operations and gain a competitive edge over rivals.
To become a Data Scientist, you need to learn these skills --
- Statistics
- R and Python programming language
- Data wrangling
- Mathematical skills like calculus and linear algebra
- Data visualization
- Visualization tools like a tableau, ggplot, plotly.
- Predictive modeling
- Machine learning
Qualification or Education:
Data scientists are highly educated – 88% have at least a Master’s degree and 46% have PhDs – and while there are notable exceptions, a very strong educational background is usually required to develop the depth of knowledge necessary to be a data scientist. To become a data scientist, you could earn a Bachelor’s degree in Computer science, Social sciences, Physical sciences, and Statistics. The most common fields of study are Mathematics and Statistics (32%), followed by Computer Science (19%) and Engineering (16%). A degree in any of these courses will give you the skills you need to process and analyze big data.
Then, how they apply those skills:
So, Data scientist mine all the significant structured and unstructured data from Big data. Then, clean that data, analyze that data and generate patterns and using different approaches like statistical analysis, predictive analysis to machine learning using some tools to extract critical information from the collected data sets to help organizations to improve revenue, customer experience and can make business’s performance better.
As you can see the extensive list of skills written above is not easy to learn in six months if you are a total beginner or from a non-technical background. But if you have some technical and data operations knowledge then it would be easier for you to some extent and would take about 3-4 months.
Frankly, knowledge of these skills would not be sufficient if you really want to get going with data science. You need to have practical experience to handle data because data is an asset of any organization and no one will want to hire a person who has knowledge but don’t know how to apply it in reality. Seriously, because practical implementation and to apply algorithms is not a simple task. Data science role demands good hands-on experience.
You may be a professional, fresher or maybe a graduate from a non-technical background. So, here you may have a question that how will you learn to implement these skills. The solution to it is Projects.
How? because while doing projects your mind will go through different situation same as when you work as a data scientist. Hand-on experience will give you a chance to access and enhance learned skills and then you can speak confidently ‘yes I know data science’.
Projects will give challenges and that’s what makes learning interesting.
These are some online platforms where you can learn and work on projects of data science career path:
Kaggle
Kaggle is an online community of data scientists and machine learners, and kaggle is owned by Google. Kaggle allows users to find and publish data sets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers and provide challenges.
edwisor
edwisor is a platform where you can learn data science in 3-4 months from scratch to advance while working on some real data science projects designed by industry experts. For hiring of their candidates edwisor provide guaranteed interviews with big companies like paytm, evobi automations, Goldman Sachs and 250 more. You can access the free trial version to know about all the basics and also find job opportunities.
Udacity
Udacity offers one of the best nano degrees in data science. If you want to learn all the skills needed to be a data scientist udacity will help you through their nano degree, Udacity also provides projects and assignments designed by industry experts to help you to get into data science in collaboration with kaggle and flexible learning hours. You can from start here to become a good data scientist.
Data camp
Data camp believes in the strategy of learning by doing. Its is a platform provides short coding exercises and projects to make you expertise in data science field. Their learning process is amazing and dedicates you totally to learning.
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