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Data Scientist Courses, Certification & Training by Skillsoft

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Data Scientists, as the title suggests, deal with both structured and unstructured data from different sources. They are responsible for extracting useful information or knowledge from the extracted data. They usually have a variety of skills like mathematical, statistical, computing and trend-spotting. It is often dubbed as the most rewarding job in the current years.
In data science, the career path of a professional usually starts as Data Analyst, Business Intelligence Analyst, Software Engineer, or Test Analyst and with experience and skills or with the help of a certification course can become Data Scientist, Lead Data Scientist, Head of Product Analyst, and Director of Engineering.
Naukri Learning provides candidates with a variety of online course choices that would help them to become a professional data scientist. There are also a number of other related courses like Big Data Analyst, Hadoop, R, Python, Qlikview, Data Visualisation and Tableau.

Data Scientists, as the title suggests, deal with both structured and unstructured data from different sources. They are responsible for extracting useful information or knowledge from the extracted data. They usually have a variety of skills like mathematical, statistical, computing and trend-spotting. It is often dubbed as the most rewarding job in the current years.
In data science, the career path of a professional usually starts as Data Analyst, Business Intelligence Analyst, Software Engineer, or Test Analyst and with experience and skills or with the help of a certification course can become Data Scientist, Lead Data Scientist, Head of Product Analyst, and Director of Engineering.
Naukri Learning provides candidates with a variety of online course choices that would help them to become a professional data scientist. There are also a number of other related courses like Big Data Analyst, Hadoop, R, Python, Qlikview, Data Visualisation and Tableau.

A certification is like a step-up in your career and will establish your journey as an experienced data science professional.
Based on a Naukri survey, 67% of the recruiters mentioned that they prefer certified candidates and are also willing to pay higher.
Outlined below are the reasons to help you understand the advantages of a data science certification:
• Improve your current profile and resume with a certification
• With recognition, comes better salary and better job opportunities
• Your skills will be globally accepted and stand out as a certified professional
• Learn the advanced analytical techniques and skills
• Get to be proficient in the latest data analysis tools

• Engineering/MBA/Commerce graduates
• IT/Banking/Finance professionals
• Data/IT Analysts
• Test/Software Engineers
• Business Intelligence Analysts

Career Outcomes

  • After the completion of a data science training course, candidates can find opportunities in one of the professional fields immediately or in the future:
    • Data Scientists
    • Lead Data Scientist
    • Product Analyst Manager
    • Director of Engineering
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  1. Skillsoft Data Science with R Professional

    Data Science is an inter-disciplinary filed that uses scientific methods, processes and systems to extract useful insights from data. R is an open-source programming language used in data science for statistical computing and graphics. | This Certified Data Science with R Professional course has been specifically designed for candidates to get the requisite skills and knowledge to work as data scientists | It also provides the necessary training to the candidates to have working experience in R as per the requirements for data analysis and statistical computing | The course has been developed by expert professionals and has quality online learning modules | It offers candidates a course-completion certification, accepted globally

    4 HoursOnline self studyIntermediate
    ₹ 7,406 10% OFF ₹ 6,665 Enquire Now

    Data Analysis, Machine Learning

    Locations: Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam

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