I am having four years of electrical and mechanical experience. Now, I want to switch to the data science field. How can I proceed? Please suggest me a path which can help me.
Asked by Bharti Last Modified
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Lekhnath Bhandari
PMP_ITIL SixSigma_Advanced_Excel_PTE_A_SQL_JIRA_Trainer_with_15+_years of_Experienc Bangalore India
First, you need to ask two questions, Why change and are you ready to learn? Google regarding the courses and let me know if you need help.
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Hi Bharti, You have made the right decision to move to the Data Science domain at the right time, but you should be well aware of what you need first. If you want to go as a data scientist, learn Statistics, Python or R for Data Science, Machine Learning, Tableau and Hadoop. If you want to choose Artificial...
read more Hi Bharti, You have made the right decision to move to the Data Science domain at the right time, but you should be well aware of what you need first. If you want to go as a data scientist, learn Statistics, Python or R for Data Science, Machine Learning, Tableau and Hadoop. If you want to choose Artificial intelligence, learn Python, Tensor flow Keras, Natural Language Processing, Advanced Computer vision with Advanced Machine Learning and Deep Learning. If you want to go as a data/business analyst, you need to learn, Tableau or Power BI, Stats, SQL. Good Luck! read less
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You can start with Programming Language(Python, R) followed by Data Structure(SQL, NoSQL), Machine Learning, Deep Learning, Computer Vision, NLP.
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Data science is an emerging field. Since we are full of data, this field has application in every domain of life. To be ready to work in this field, one should have a normal understanding of mathematics. Then there is a requirement of a programming language. Since Python has a large set of library resources,...
read more Data science is an emerging field. Since we are full of data, this field has application in every domain of life. To be ready to work in this field, one should have a normal understanding of mathematics. Then there is a requirement of a programming language. Since Python has a large set of library resources, which are required in data analysis, it becomes a language of choice for data science. (it is straightforward). Do some projects. read less
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First, start your career as a Junior Data analyst --> after 1/2 yrs of exp, you can switch as a data scientist. You will have two options: Switch with 4+ yrs of domain experience as a Data scientist into a mechanical/automobile company which requires Python+ML+DL skill set. Start as a fresher in...
read more First, start your career as a Junior Data analyst --> after 1/2 yrs of exp, you can switch as a data scientist. You will have two options: Switch with 4+ yrs of domain experience as a Data scientist into a mechanical/automobile company which requires Python+ML+DL skill set. Start as a fresher in a different domain as a Junior Data Scientist. read less
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You can apply for basic python programming first. Then you can do data science easily. It's not compulsory to know C, C++ for data science. Just Object-oriented concepts, which will be provided in Python training as well. All the Best!
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If you have decided to get into Data Science? To learn about data starting from Microsoft Certifications like A) DP-900 B) DP-300 and then take up C)DP-200/201 and these will open up a clear path for you to become a data scientist where your journey starts. However, if it is about securing a job? I think...
read more If you have decided to get into Data Science? To learn about data starting from Microsoft Certifications like A) DP-900 B) DP-300 and then take up C)DP-200/201 and these will open up a clear path for you to become a data scientist where your journey starts. However, if it is about securing a job? I think the certifications that I mentioned are good enough to get a job with a decent package. Or use your existing knowledge in mechanical and electrical and try to enhance the same areas where you need not re-invent the wheel to begin a new career. read less
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You can choose Web Design/Application Design/Development course because there are many scopes when our IT Industry is growing fast. This industry did not get effect under the pandemic of covid19 because it's digital. I know it won't be easy to switch your career, but it's time to take the right decision...
read more You can chooseWeb Design/Application Design/Development course because there are many scopes when our IT Industry is growing fast. This industry did not get effect under the pandemic of covid19 because it's digital. I know it won't be easy to switch your career, but it's time to take the right decision for you. If you are interested in Science and technology, you can go to AI Programming too. read less
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Hi Bharti,Data Science can be used in many domains like Medical, Pharma, Finance, Automobile, etc. It always revolves around the data we have. It becomes a little tricky in the beginning when you step into data science, as you don't have experience in the IT sector. It becomes a little smooth once you...
read more Hi Bharti,Data Science can be used in many domains like Medical, Pharma, Finance, Automobile, etc. It always revolves around the data we have. It becomes a little tricky in the beginning when you step into data science, as you don't have experience in the IT sector. It becomes a little smooth once you start to get your hands dirty with it. Many languages can be used for data science. Most of the projects are based on python and R programming. There are roughly three job roles(Data Scientist, Data Engineer, Data Analyst) you can fit into once you complete the data science course. Choose the job role you want to enter into and work towards them. Also, get a good grip on probability and Statistics as they play a crucial role.So, I suggest you get some intermediate grip on some programme. read less
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To be a data scientist, you have to get computer science knowledge, mainly programming and data structure knowledge, after joining any online data science course, assuming you have already mathematics knowledge if you're a b.tech person.
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