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Premier Data Science Course

Premier Data Science Course

Data Science Course

Overview of Data Science Course

Data Science is a multifaceted field that uses both scientific and mathematical methods, processes, algorithms and models to gather knowledge and insights from both the structured and unstructured data. It involves building data manipulation, visualization, data analytics, machine learning and statistics.

Data Science, in this field, the system generates insights which is much helpful for the business users and analysts to improve their data strategies. Elysium Academy, guides you through the main tools and ideas involved in Data Scientists toolbox. Data Science course involves the combination of Python course, Machine learning Course and Data Analytics course with some statistics and coding with domain expertise.

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Why learn Data Science?

With a large amount of data to be gathered and evolved in the field of analytics, Data Science seeks more attention in this technological industries. All are looking for Data Scientists. The requirement for data science is getting high so far. It adds value to all business who can use their data well. Data scientists are getting demand today. So Data Science is valuable to any company or industry.

Learning Outcomes

Analyse and interpret data using ethical approach

Appropriate models of analysis to access the quality of inputs

Derive the insight from results with potential issues

Ability to understand concepts and solve real world contexts


Pre-Requirement Skills

Skill Needs

    • Graph Theory80%
    • Multi Variant Calculus30%

Opening Hours

We are open to serve the learners from Monday to Sunday, during the business hours.
  • 8am - 8pm
  • 10am - 1pm

Content Include

  • Course Certificate
  • Course Material
  • Video Tutorial
  • Exam Guidance
  • Industrial Visit
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Technical Knowledge Delivery

EA aims to impart high quality technical education to the learners, through our novel certified courses, innovative teaching methodologies and interactive sessions.