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Naukri Learning > Banking, Finance & Analytics > Data Science & Analytics > N.l.dalmia

Data Science & Analytics Courses, Certification & Training by N.l.dalmia

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Data science and analytics is a field that comprises of everything that is related to preparation, analysis and examining data with aim of drawing conclusions about the information.
This Data science courses offers grounding in basic and advanced techniques including MapReduce and Hadoop. The scope of data science and analytics is blasting all over the world. Thus, a career in this domain is fulfilling and growing dramatically. Skills required to become expert are quantitative capacity, logical thinking, statistical techniques and business learning.
Naukri Learning offers scores of online courses on Data science and analytics like Qlikview, Tableau, Finance Modelling, Business Analytics and Machine Learning to provide the perfect learning path for applicants.
If you wish to succeed in this world, find the ways that make good strides to achieve positive results. Here are some of the reasons why you should opt for an online certification course in Data science and analytics:
• Identifying opportunities and refining of target audiences
• Excellent knowledge of the data management technologies
• Handsome salaries and job titles
• Improvement of current profile with a certification
• Database professionals
• IT professionals
• Analytics managers
• Marketing managers
• Supply chain network managers

Career Outcomes

  • • Data analysts/business analysts
    • Data infrastructure engineers
    • Machine learning engineers
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Related Career Options

Data Scientist

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Data Analyst

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Software Architect

A software architect is someone who makes high-level software designs and dictates technical standards encompassing platforms, standards and tools. It...

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Business Analyst

Business Analysts are responsible with the research of an organisation’s business needs and coming up with solutions to the business problems. The sol...

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Big Data Architect

A Big data architect is trained to describe the structure of a big data solution. He/she is responsible for planning next generation big data systems ...

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Big Data Developer

Big data developers are proficient in core scripting languages and responsible for the actual coding or programming of big data applications. They dea...

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Project Manager

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Finance Manager

Finance managers are responsible for day-to-day financial operations in the organization. They produce financial reports, develop strategies and stay ...

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Financial Controller

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  1. PG Certificate in Business Analytics with Virginia Tech US

    The Virginia Tech Postgraduate Certificate in Business Analytics is an 11-month program, organised into six sequential units of approximately two months each. In each unit, you will take classes on different topics through both in-person and online instruction. Upon completion of all requirements, students will obtain a joint certificate from Virginia Tech University and N L Dalmia Centre for Excellence. Our classes are modular in approach led by a faculty member. Experts from industry and academia assist the lead faculty members. Each unit is comprised of in-person and online instruction. During the final three months, you are required to determine and complete a business analytics solution for an identified problem in a business domain of your choice

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    Business Analytics , Cloud Computing , Machine Learning , Big Data , Entrepreneurship , Data Analysis ,

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  2. Post Graduate Certificate in Advanced Analytics.

    The Post Graduate certificate in Business Analytics is a meticulously designed course by the institute collaboratively with the technological partners SAS. The students will be trained to apply Machine Learning in business | SAS is the leader in analytics. Through innovative analytics, BI and data management software and services, SAS helps turn your data into better decisions.The focus of the course will be to give emphasise on areas like Advanced Excel and VBA, Hadoop Spark, Python, ML regression, SAS Enterprise Miner, Data Mining etc.

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    Business Analytics , Machine Learning , Digital , Data Science , Big Data , Production

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