Course Prerequisites
- Basic Computer Knowledge.
Reasons to choose Data Science Certification Courses from Koenig
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Top picks of Data Science Certification courses applicable to professionals across industry sectors
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Begin and complete your Data Science certification journey with Koenig with a comprehensive list of Data Science and related courses under one roof
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Expert Data Science instructors and lab sessions to clear your various Data Science certification examinations
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Popular Data Science Certification course materials prepared by SMEs with regular content updates
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Be part of Data Science Certification training from an Accredited Training Provider who is in the business for more than 25 years
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Get Flexible dates for both public Data Science workshops and on-site training programs
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You can take your Data Science course as both 8 hours/ day or 4 hours/ day options as both weekend and weekday training
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Multiple learning modes that also include 1-on-1 training for dedicated attention
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Take part in ‘Guaranteed to Run’ Data Science Certification sessions with ‘Exam Pass Guarantee’
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Become a Data Scientist with widely-recognized Data Science certification training courses
Benefits of Data Science Certification Training
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Validate your commitment towards your profession by learning Data Science skills that are high in demand by employers across the globe.
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Data Scientists earn a better salary package compared to other professionals. According to Dice.com, the average salary range for Data Science professionals ranges from USD 91,000 to USD 169,000 per year. The salary range differs depending on the location, job role, and experience.
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Be part of a booming Data Science domain that is spread across industry sectors and which will have a drastic demand for Data Scientists in the future
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Improve your marketability by earning some of the most sought-after Data Certification credentials.
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Gain a comprehensive knowledge of working with the latest technology stacks in the form of Django, SAP, Spark, Python, Scala, Elastisearch, Hadoop, Oracle, SAS, Apache, MongoDB, Java, and more.
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Data Science certification training helps you to keep up with the latest industry trends to expand your knowledge base.
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Future-proof your career with Data Science certification training and increase your opportunity to land job offers from Fortune companies.
About Mumbai City
Mumbai, which was formerly called as Bombay is the leading financial and commerce center of India, and is the largest city and the capital city of Maharashtra. Mumbai is home to the largest number of Billionaires and Millionaires in the country and is home to many large MNC corporations, Indian Companies, and Financial Institutions. With a GDP of 368 Billion, Mumbai contributes the highest in terms of percentage to the country’s overall GDP. Mumbai’s economy is largely dependent on IT & ITES, Finance, leather processing, gems, entertainment, and textiles. In the Globalization and World Rankings Research Institute, which ranks the world’s cities, Mumbai was ranked among the Alpha city category. With such a high status, it is imperative that major companies have their bases in Mumbai to be part of the growth trajectory that the city is headed to.
Today, technical and non-technical certification credentials are clear markers for enterprises and recruiters to filter high-quality candidates across job roles in enterprises. Data Science certification credential is one such marker that most companies look for while hiring professionals. Especially in Data Scientist job roles, Data Science certification is like a stamp of authority for your prowess in the domain. Some of the top companies that are looking to hire Data Science certified professionals include Cognizant, Exponentia.ai, Genpact, Marsh and McLennan, Lionbridge, KloudData Inc, Larsen and Toubro, Mphasis, Cipla, Ramco Systems, and many more. The average salary of a Data Science certified professional in Mumbai is in the range of 7 Lakhs to 35 Lakhs per annum. Enrol for Data Science Course in Mumbai to take your Data Science career to the next level.
