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Hands On Big Data Analysis

Course Reviews

Track :

Programming

Lessons no : 4

For Free Certificate After Complete The Course

To Register in Course you have to watch at least 30 Second of any lesson

Join The Course Go To Community Download Course Content

What will you learn in this course?
  • Master techniques for capturing and storing large-scale data efficiently using big data tools and frameworks
  • Apply data analysis and querying methods to extract actionable insights from diverse big data sources
  • Implement data visualization and sharing strategies to communicate complex big data findings effectively
  • Ensure data privacy and security while managing high-volume, high-velocity, and high-variety data environments

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
  • you can follow your course progress From Your Profile
  • You can Register With Any Course For Free
  • The Certificate is free !
Lessons | 4


We Appreciate Your Feedback

Excellent
3 Reviews
Good
1 Reviews
medium
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Acceptable
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Not Good
0 Reviews
4.3
38 Reviews
harsh soni

awesome 2025-10-12

nagaraj gs

Its an wonderful experience on learning 2025-10-08

Abdelkader Majbour

Thank you 2025-10-04

Muhammad Jawad Ali

best for students 2025-10-03

SEBAGENI RICHARD

Nice course 2025-10-03

Geethika B

It was good section 2025-09-28

Mohamed Karim

Thanks for this great tutorial 2025-09-20

Mohamed Alahoui

Great 2025-09-10

Gazala Parveen Patel

it too good and helpful 2025-09-06

Logeshwari .d

This course I am very helpful in career 2025-09-02

Ali Zain

Practical Exposure: The hands-on labs with tools like Hadoop, Spark, and SQL were extremely useful. Real-world Datasets: Working with large-scale data improved my data processing & analysis skills. Tool Familiarity: Gained confidence in using Big Data ecosystems (HDFS, MapReduce, PySpark). 2025-07-29

Joshua

it was good for beginners 2025-07-21

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Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data source. Big data was originally associated with three key concepts: volume, variety, and velocity.