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Probability and Statistics
Coursera
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Probability and Statistics

Birla Institute of Technology & Science, Pilani

Enhance your data analysis skills with comprehensive study of probability and statistics focused on practical applications across science and engineering fields.

Unknown9 weeksEnglish, HU

About this Course

Elevate your data analysis skills with our comprehensive Probability and Statistics course, tailored for professionals seeking real-world applications. Ideal for aspiring data analysts, engineers, scientists, and anyone looking to enhance their decision-making abilities, this course is your gateway to mastering essential statistical concepts. Dive deep into data sets, Chebyshev’s inequality, descriptive statistics, probability axioms, and Bayes’ formula. Gain expertise in random variables, mathematical expectations, various distributions, confidence intervals, hypothesis testing, and regression analysis. Our interactive course features discussions and ample assignments designed to solidify your understanding and competencies. Real-world applications are seamlessly integrated, ensuring you can apply concepts in practical scenarios. Whether you're aiming for a career in data science, engineering, finance, or research, this course equips you with critical analytical skills to succeed and stand out in your field. Enrol now to transform your ability to make data-driven decisions with confidence. With our expert-driven learning experience, enhance your career and become a valuable asset in your professional journey. Keywords: Probability and Statistics course, data analysis, real-world applications, aspiring data analysts, decision-making, career enhancement

What You'll Learn

  • Evaluate and interpret complex data sets with probabilistic models, applying Bayes’ theorem and Chebyshev’s inequality to solve real-world problems
  • Design hypothesis tests, including t-tests, z-tests, and chi-square tests, to validate data-driven hypotheses in various professional contexts
  • Construct and optimise predictive models using multiple and nonlinear regression techniques to forecast outcomes and improve decision-making
  • Synthesise probability and statistical knowledge to develop innovative solutions for complex analytical challenges

Prerequisites

  • No deep prior experience is required, but basic computer and internet skills are helpful
  • Ability to read course instructions in English and complete short practice activities

Instructors

B

BITS Pilani Instructors Group

Topics

Probability and Statistics
Data Science
Data Visualization
Statistical Analysis
Applied Mathematics
Predictive Modeling
Data Analysis

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

الاحتمالات والإحصاء
علوم البيانات
تصوير البيانات
التحليل الإحصائي
الرياضيات التطبيقية
النمذجة التنبؤية
تحليل البيانات

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