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Business Analytics With Big Data

Business Analytics With Big Data

Free Practice Test

FREE
  • No. of Questions100
  • AccessImmediate
  • Access DurationLife Long Access
  • Exam DeliveryOnline
  • Test ModesPractice
  • TypeExam Format

Practice Exam

$7.99
  • No. of Questions105
  • AccessImmediate
  • Access DurationLife Long Access
  • Exam DeliveryOnline
  • Test ModesPractice, Exam
  • Last UpdatedJuly 2025

Online Course

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  • Content TypeVideo
  • DeliveryOnline
  • AccessImmediate
  • Access DurationLife Long Access
  • No of videos-
  • No of hours-
Not Available

Business Analytics With Big Data


The Business Analytics with Big Data Certification Exam assesses and validates a candidate’s ability to derive actionable business insights from vast and complex datasets. In today’s data-driven economy, the convergence of big data technologies and business analytics is crucial for competitive advantage. This certification bridges technical data processing and strategic decision-making, relevant for business and data science professionals. The exam covers the entire lifecycle—data ingestion, storage, processing, statistical modeling, machine learning, visualization, and decision support—evaluating both technical skills and business acumen.


Skills Required

Candidates should have the following foundational and technical skills:

  • Understanding of core business analytics concepts such as KPIs, ROI, segmentation, and forecasting
  • Proficiency in data querying languages, especially SQL
  • Familiarity with big data frameworks like Hadoop, Spark, and Hive
  • Knowledge of programming languages such as Python or R for data manipulation and analysis
  • Statistical and machine learning knowledge, including regression, clustering, and classification
  • Experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn
  • Ability to align data models with business strategies and goals


Who should take the Exam?

This certification is particularly suitable for the following individuals:

  • Business Analysts seeking to expand their expertise into big data environments
  • Data Analysts and Scientists aiming to align technical insights with business objectives
  • Project Managers working in data-centric projects
  • IT and Data Professionals transitioning into analytics-focused roles
  • MBA Graduates and Finance Professionals wanting to gain proficiency in data-driven strategy
  • Consultants providing data solutions to enterprise clients


Course Outline

  • Introduction to Business Analytics and Big Data
  • Big Data Ecosystem and Architecture
  • Data Acquisition and Management
  • Data Analytics Techniques
  • Machine Learning for Business Insights
  • Data Visualization and Communication
  • Case Studies in Business Analytics
  • Strategy and Implementation

Business Analytics With Big Data FAQs

The exam focuses on assessing the ability to apply data analytics techniques and big data technologies to solve business problems and support data-driven decision-making.

It is recommended to have a foundational understanding of statistics, business analytics concepts, SQL, and at least one programming language such as Python or R, along with familiarity with big data frameworks.

Yes, familiarity with tools such as Hadoop, Spark, Hive, Tableau, Power BI, and programming environments like Jupyter Notebooks is expected.

The exam typically includes multiple-choice questions, case studies, data interpretation scenarios, and problem-solving tasks involving real-world datasets.

The exam usually lasts between 90 minutes to 2 hours and is conducted online or at designated testing centers, depending on the certification provider.

Key topics include big data architectures, data preparation, machine learning techniques, visualization strategies, and business use cases for analytics.

Yes, this certification is increasingly recognized by employers in data-driven sectors such as finance, healthcare, retail, and consulting as proof of applied analytics skills.

Yes, most exam providers allow retakes after a mandatory waiting period, and some may charge an additional fee for subsequent attempts.

Some certifications may require renewal after a certain period, typically every 2 to 3 years, to ensure knowledge remains current with evolving technologies.

Absolutely, the certification equips candidates with practical skills and knowledge that are highly relevant for roles such as data analyst, business analyst, or analytics consultant.

 

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