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BECS 184 Data Analysis | Quick Readable Notes For IGNOU Exam

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BECS 184 Data Analysis | Quick Readable Notes For IGNOU Exam

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BECS 184 Data Analysis introduces foundational concepts and techniques in data analysis, focusing on statistical methods, data visualization, and interpretation for effective decision-making.
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Rs.149Rs.319   53% OFF

Rs.149Rs.319   53% OFF

Rs.149Rs.319   53% OFF


  • Statistical Methods: Introduction to basic statistical techniques and their application.
  • Data Visualization: Tools and methods for visualizing data to extract insights.
  • Interpretation and Decision-Making: Analyzing data to make informed decisions.
  • Practical Applications: Real-world examples and case studies in data analysis.
Category : BACHELOR'S (HONOURS) DEGREE PROGRAMMES
Sub Category : Bachelor of Science (Honours) Anthropology (BSCANH)
Products Code : BSCANH-E-S-4.7
HSN Code : 490110
Language : English
Author : BMAP EDUSERVICES PVT LTD
Publisher : BMAP EDUSERVICES PVT LTD
University : IGNOU (Indira Gandhi National Open University)
Pages : 100-130
Weight : 157gms
Dimensions : 21.0 x 29.7 cm (A4 Size Pages)



Details

BECS 184 Data Analysis is a fundamental course designed to equip students with essential skills in understanding and interpreting data. The course covers a range of topics including basic statistical methods, data visualization techniques, and the application of data analysis in various fields. Students will learn how to use statistical software to analyze data sets, interpret findings, and present results effectively.

Key topics include descriptive statistics, inferential statistics, hypothesis testing, regression analysis, and data visualization principles. The course emphasizes hands-on learning through practical exercises, case studies, and projects that simulate real-world data analysis scenarios. Students will gain proficiency in using tools such as Excel, R, or Python for data manipulation and analysis.

BECS 184 prepares students for careers in fields where data-driven decision-making is crucial, such as business analytics, market research, healthcare informatics, and social sciences. By the end of the course, students will be able to critically evaluate data, communicate analytical findings, and apply data analysis techniques to solve practical problems.

Benefit of the Course:

  • Analytical Skills: Develops proficiency in data analysis techniques and interpretation.
  • Career Preparation: Prepares students for roles requiring data analysis and statistical reasoning.
  • Practical Knowledge: Application of data analysis tools and methods in diverse settings.

Hashtags and Content: #DataAnalysis #StatisticalMethods #DataVisualization #BECS184

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