Data Science & Analytics Courses, Certification & Training by Nulearn
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Why should you do?
Who should do?
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
- □ • Data analysts/business analysts
• Data infrastructure engineers
• Machine learning engineers
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Big Data Architect
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Post Graduate Executive Certificate Program in Data Science & Big Data is a professional programme that includes 90 hours of online and offline sessions. The programme follows experiential learning into data analytics to give the participants a hands-on experience for managing complex and challenging data sets. The participants can take up exercises and assignments on various software packages such as R, Big data tools and Tableau. Other important aspect of this experimental learning is that it is facilitated through plug-n-learn technology, which gives the flexibility to one can attend sessions from any location, on either mobile or desktop. The course covers topics like | Introduction to Analytics, Data Base and Mining | Data Science | Data Mining (Lab Work Using R and Spark) | Tools - Excellence in Analytics | Data Science Roadmap | Machine Learning (Using R and Python) | Data Visualization (Using Slash, Tableau and other tools) | Case StudyClassroomIntermediateEnquire NowBrochure Course Provider
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