The big data technologies and analytics course typically covers the principles, tools, and techniques used to store, process, and analyze large and complex data sets. The course covers topics such as distributed computing, data storage and retrieval, data processing and analysis frameworks, such as Hadoop and Spark, and machine learning algorithms for big data analysis.
Professional Diploma in Big Data
Technologies and Analytics is a
skill development programme offered by Pedagog, approved and awarded by European International University-Paris
Upon completion of the programme, graduates can pursue careers as data
analysts, data scientists, database administrators, business intelligence
analysts, and software developers in a wide range of industries, including
finance, healthcare, technology, and government.
Course content:
The students are required to submit the assignment in the form of a Performance-Based Task. This is a high-level application-oriented end-of-the-course assessment that requires students to create something out of what they have learned throughout the course.
THE DUAL CERTIFICATE is awarded by
EIU-Paris (University) and Pedagog.
Please Note: A Hard Copy of certificate from the
university can be requested at an additional minimal fee, via e-mail
to hello@pedagog.ac
This diploma
would be geared toward students with a basic understanding of programming and
database systems and may prepare students for careers in data science, machine
learning, or big data engineering.
KA
Kanu Aggarwal
04:00:00 AM 2024-01-07
AS always, This programme is fantastic. I loved the Deep Nets part mostly. However, some other popular Machine Learning techniques such as Random Forest Classification should have been addressed along side this programme. Having said that, it is still a very good course which covers almost everything. Thank you, You all are simply the best. Kanu Aggarwal, India
European International University - Paris
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