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Predictive Modeling with Python
This Predictive Modeling with Python course provides a practical introduction to statistical analysis and machine learning with Python. You will learn essential machine learning concepts, methods, and algorithms with a strong emphasis on applying them to solve real-world business and data problems.
By the end of the course, you will:
- Understand different data types used in statistical analysis.
- Learn techniques to manage inconsistent data effectively.
- Perform hypothesis testing using parametric and non-parametric tests.
- Develop exploratory data analysis (EDA) models using statistical and machine learning methods.
- Enhance machine learning models through evaluation and optimization techniques.
This course is designed for individuals with a foundational knowledge of Python programming and basic statistical concepts. This course is ideal for aspiring data analysts, data scientists, business executives, machine learning engineers, and anyone passionate about data-driven decision-making
Throughout the program, you will gain hands-on experience in statistical and predictive modeling and apply your skills to real-world scenarios. Enroll in "Predictive Modeling with Python" today and take your expertise to the next level!
Duration
8 Months
Institution
Edureka
Format
Online
Eligibility Criteria
school
Academic Foundation
A recognized Bachelor’s degree or high school equivalent required for admission into Edureka.
language
Language Proficiency
English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.
Detailed Fees Breakdown
Base Tuition Fee
$246
Total Est. Investment
$246
Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.
Academic Trajectory
Program Outcome
Graduates of the Predictive Modeling with Python program at Edureka are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.