[2021] Data Science: A-Z Bootcamp + Real Cases (Version 8.1)

[2021] Data Science: A-Z Bootcamp + Real Cases (Version 8.1)

A-Z Data Science Training: Advanced Statistics & Machine Learning with R, Excel + Tableau, Power BI from Best Seller

What you’ll learn

  • GET aware about the role of data scientist
  • LEARN to get the solution of real-world business problems by applying quantitative modelling and data analysis techniques
  • BUILD a stronghold on data visualization and optimization
  • BE proficient in communicating the findings, and present the results effectively using the techniques of data visualization.
  • LEARN the art to recognize and analyze ethical issues in business that is in relation to intellectual property, data security, and privacy.
  • UNDERSTAND how to protect the ethical use of data in all aspects of the profession
  • MASTER the concept of applying ethical practices in everyday business activities and make business and data management decisions.
  • ACQUIRE the skill to demonstrate knowledge of statistical data analysis techniques that can be utilized in making a business decision and actionable business strategies
  • GET the knowledge of constructing the means for extracting business-focused understanding from the data.
  • LEARN the skill to apply principles of Data Science to analyze business problems.
  • UNDERSTAND data mining
  • GET proficient in the use of data mining software to solve real-world problems.
  • LEARN effective communication strategies and also get familiar to different formats and templates
  • COMPREHEND to apply innovative tools and technologies to analyze Big Data.
  • LEARN the skill to apply algorithms to build machine intelligence.

Requirements

  • Getting committed to the course
  • Passion to learn and become successful

Who this course is for:

  • Beginners who have no prior knowledge
  • Students who have acquired little knowledge
  • Students want to make their career in a data science
  • Students who want to build a solid base to get into machine learning
  • Anyone who wants to take advantage of the data-driven opportunity in the coming times

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