SBDA - Senior Big Data Analyst Exam

The SBDA is your ticket to a career as a senior data analyst. The SBDA™ - Senior Big Data Analyst test series will put your knowledge to the test and help you prepare for the exam if you're seeking for that next rung in your Big Data career aspirations. Questions on NoSQL databases, factor analysis and machine learning, Hadoop and R integration, and much more are included in this online test series. The online test series will help you pass the SBDA™ - Senior Big Data Analyst exam on your first try.

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241 Enrolled

Created by Isaac Matthews

What you'll learn

You will learn about databases and spreadsheets
You will learn data analytics skills and experience
You will get knowledge about data science
The test series will assist you in studying for the SBDA™ - Senior Big Data Analyst exam

Curriculum

1

SBDA - Senior Big Data Analyst Exam

Updated : 29th June 2021 | Duration : 100mins
Pre-requisites
- You must have a good formal background in statistics and a solid understanding of the fundamental principles
- You'll need to be familiar with the tools and procedures for computing central trends, dispersions and averages, permutations and combinations, probability, and constructing graphs, charts, histograms, and scatter plots, among other things
Target Audience
- Those who want to advance their careers in data analytics
- Big data technologists
- Candidates having a bachelor's degree in computer science, mathematics, statistics, engineering, applied sciences, economics, finance, or management
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About Author

Isaac is working as a Lead Data Scientist with a reputed company in Texas USA since 2013. He has a good knowledge of R, Python, and MATLAB. He is also having 7+ years of experience in SQL and NoSQL databases. His major responsibilities include managing a team of data scientists, machine learning, and big data specialists. He also ensures data quality and integrity. He also builds analytic systems and predictive models. He is very good at visualizing data and creating reports.

Isaac Matthews [ Head of Data Science ]

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241 students

100 mins

Hard