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What Is Data Science

Track :

Programming

Lessons no : 43

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What will you learn in this course?
  • Master data collection, cleaning, and preprocessing techniques for accurate analysis and insights in data science projects
  • Apply statistical methods and mathematical models to interpret data and identify meaningful patterns and trends
  • Utilize programming languages like Python or R to develop data analysis scripts and automate workflows
  • Implement machine learning algorithms to build predictive models and improve decision-making processes
  • Visualize complex data sets effectively using tools like Tableau or Matplotlib for clear communication of insights
  • Evaluate data quality and integrity to ensure reliable results in data-driven problem solving
  • Design and execute data experiments and A/B testing to optimize business strategies and user experiences
  • Integrate data from multiple sources to create comprehensive datasets for advanced analysis and reporting
  • Understand ethical considerations and data privacy regulations in handling sensitive information
  • Communicate technical findings clearly to non-technical stakeholders through reports and presentations
  • Apply data science techniques to real-world problems across industries such as healthcare, finance, and marketing
  • Develop critical thinking skills to assess data science solutions and improve analytical approaches

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Lessons | 43
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Ramya Degala

this course is very good and i have learning many skills in this course and very well explanation i have to learn and complete data science course in mind luster is very happy thank you mind luster for ur free couses and certificates 2025-03-14

akbar Beg

This platform is amazing 2024-03-21

JAY PRAKASH KUMAR

bsest 2023-08-18

Oluwatimilehin Samson Adeniyi

Super cool 2023-07-24

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The discipline of "data science" was formerly called "Datalogy" and now it is in English "Data Science", and data science can be defined as the use of computers, equipment, programming systems, and algorithms in order to solve problems and explain actual phenomena, as it uses theories derived from science Others including mathematics, information systems .