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Design Thinking and Predictive Analytics for Data Products
Coursera
Course
Unknown

Design Thinking and Predictive Analytics for Data Products

University of California San Diego

This second course in the specialization covers the basics of designing predictive models in Python and introduces statistical learning concepts for data products.

Unknown5 weeksEnglish11,734 enrolled

About this Course

This is the second course in the four-course specialization Python Data Products for Predictive Analytics, building on the data processing covered in Course 1 and introducing the basics of designing predictive models in Python. In this course, you will understand the fundamental concepts of statistical learning and learn various methods of building predictive models. At each step in the specialization, you will gain hands-on experience in data manipulation and building your skills, eventually culminating in a capstone project encompassing all the concepts taught in the specialization

What You'll Learn

  • Understand fundamental concepts of statistical learning
  • Learn various methods of building predictive models
  • Gain hands-on experience in data manipulation
  • Develop skills culminating in a comprehensive capstone project

Prerequisites

  • Basic familiarity with the topic and its terminology
  • Readiness for hands-on practice through exercises or case work

Instructors

J

Julian McAuley

Assistant Professor

I

Ilkay Altintas

Chief Data Science Officer

Topics

Data Analysis
Data Science
Data Preprocessing
Statistical Methods
Logistic Regression
Predictive Analytics
Applied Machine Learning
Feature Engineering
Classification Algorithms
Machine Learning Algorithms

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تحليل البيانات
علوم البيانات
معالجة البيانات
الطرق الإحصائية
الانحدار اللوجستي
التحليلات التنبؤية
التعلم الآلي التطبيقي
هندسة الميزات
Classification Algorithms
Machine Learning Algorithms

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