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Big Data Data Science

Track :

Computer Science

Lessons no : 34

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What will you learn in this course?
  • Master techniques for managing and analyzing large, complex datasets using big data tools and frameworks like Hadoop and Spark
  • Apply data science methods to extract insights from big data, including data cleaning, transformation, and visualization
  • Implement scalable algorithms for processing high-velocity data streams in real-time big data environments
  • Utilize machine learning models to predict trends and patterns within massive datasets effectively
  • Design and develop data pipelines for efficient data ingestion, storage, and retrieval in big data ecosystems
  • Evaluate big data architectures and select appropriate tools for specific data science projects
  • Apply data governance, security, and privacy best practices in handling sensitive big data
  • Interpret big data analytics results to support strategic decision-making and business intelligence
  • Optimize big data workflows for performance, cost-efficiency, and scalability in cloud and on-premises environments
  • Communicate complex big data insights clearly to technical and non-technical stakeholders

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
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  • The Certificate is free !
Lessons | 34


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22 Reviews

Adou Koffi Wilson

succes 2025-09-01

Sanjeev Kumar

Good course 2025-08-04

Melwin A

Excellent 2025-07-27

Aary Sakhare

nice 2025-05-08

Mohammad Moazzam

good course 2025-04-22

Rahul Kale

the course was soo good 2025-04-22

Krishna Waghlavhale

nothing 2025-04-22

Sakshi Shinde

good 2025-04-22

Yash Barai

good course 2025-04-18

Maqbool Ahmed

Course was so knowledgeable 2025-04-08

Virat Praveen

very useful 2025-02-15

Lydia Toffia Bale

Good 2023-12-23

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The definition of big data is data that contains greater variety, arriving in increasing volumes and with more velocity. This is also known as the three Vs. Put simply, big data is larger, more complex data sets, especially from new data sources.