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Data Science & Analytics Courses, Certification & Training by Greycampus

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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.

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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  1. Microsoft Excel for Data analyst

    The course is known to be one of the most sought-after spreadsheet programs and is very versatile to use for creating sophisticated financial models, household budget maintenance ad designing complex dashboards. The training is perfect for experts from any field like operations, finance, information technology, MIS, Administration and Human relations. Moreover, the course is endowed with all the hard skills and concepts needed to kick start your data analyst career. The course also targets certain business situations and tenders a solution for the same. Additionally, it includes latest and best tool provided for data visualization.

    Brochure Course Selling Partner
  2. Tableau Desktop 9 Qualified Associate Training

    What is is Tableau capable of? We will see how Tableau visualization is from others. Locate data set, Import data sets and Clean messy data. Ability in choosing data. Creating visualization and sharing your visualization. How it is different from MS Excel or other tools. Tableau helps anyone quickly analyse, visualize and share information. | This course is designed for the participants who are looking to start their career in Tableau. It is ideal for the participants to deal with different type of projects in Tableau and to develop various reports. It will also help to visualize different types of data. | Course Objectives are to understand Tableau, how to install Tableau, how to work with different type of Visualizations, able to build Dashboards & Work towards Tableau Desktop 9 Qualified Associate certification exam of Tableau

    4.5 HoursOnline self studyIntermediate
    $ 300 Enquire Now

    Tableau, Data Analysis

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

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