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Advanced Data Analysis with Python
Coursera
Course
Unknown

Advanced Data Analysis with Python

Coursera

Enhance analytical skills using advanced statistical methods, conduct hypothesis and A/B tests, and automate workflows with hands-on experience.

Unknown1 weeksGerman, HI, PS, RU

About this Course

In this course, you'll elevate your analytical capabilities with advanced statistical methods and testing procedures. You'll learn to conduct hypothesis tests, design and analyze A/B tests, and automate analytical workflows. Working with real employee and medical data, you'll gain hands-on experience in applying sophisticated analytical techniques to solve complex business problems. Upon completion, you'll be able to: • Perform hypothesis testing and correlation studies. • Design, conduct, and analyze A/B tests to compare different versions of an approach • Automate repetitive tasks, generate professional reports, and document workflows effectively using automated tools. • Tackle a challenge that integrates statistical analysis, A/B testing, and workflow automation to simulate real-world data problems

What You'll Learn

  • Perform hypothesis testing and correlation studies
  • Design, conduct, and analyze A/B tests
  • Automate repetitive analytical tasks
  • Apply advanced analytical techniques for complex problems
  • Generate professional analytical reports

Prerequisites

  • Basic computer and internet skills
  • Ability to read English instructions and complete short practice activities

Instructors

C

Coursera

Topics

Data Analysis
Data Science
Probability and Statistics
Business Process Automation
A/B Testing
Advanced Analytics
Statistical Analysis
Correlation Analysis
Data-Driven Decision-Making
Health Information Management and Medical Records

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تحليل البيانات
علم البيانات
الإحصاء والاحتمالات
أتمتة العمليات البيزنس
اختبارات A/B
تحليلات متقدمة
التحليل الإحصائي
تحليل الارتباط
Data-Driven Decision-Making
Health Information Management and Medical Records

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