While English is considered to be a popular international language, the fact of the matter is that many countries prefer to communicate in their own vernacular. It’s just good business to be able to communicate in a particular business’ local language. Translation services make this possible. Learn to build a Language Translator with Python from DataTrained and get an industry-recognized certificate of completion.
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The Internet has been an immense asset for businesses in their efforts to go global. Connecting with customers in various countries is not without its challenges. The ever-present language barrier is one of the major difficulties international companies face on an almost daily basis that can be overcome by leveraging the advantages of translation.
While English is considered to be a largely international language, the fact of the matter is that many countries prefer to communicate in their own vernacular. It’s just good business to be able to communicate in a particular business’ local language. Translation services make this possible.
This is particularly true in the fields of education, e-commerce, health and safety, learning and development, law, marketing, engineering, and others. In an industry where communication is key, there needs to be a way to bridge the language gap. Professional language translators ensure that the channels of communication remain open and transparent.
Get Industry Recognized Certificate of Completion in Learn to build Language Translator with Python course from DataTrained which can be verified online throughout the world, shared in certification section on your linked profile, downloaded, printed, shared, and mentioned on your resume.
The course is good. It gives a detailed description of sqoop and flume. Every concept is very easy and simple to understand.
Instructor has a good command over the subject. Very nicely explained Excellent content, Every Hadoop developer much visit this course even if you are a experience one.
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Currently, he is driving several productivity programs - using data analytics to drive insights from business operations and implementing optimizations such as streamlining workflows, improving service levels, and ultimately reducing cost.
Shankar is a data Scientist with 14 Years of Experience. His current employment is with Accenture and has experience in telecom, healthcare, finance and banking products.