What experience level is required for Applied Machine Learning in Python?

This course is aimed at the Intermediate level. Having some basic understanding of the topic will help you get the most out of the curriculum.

How long does it take to complete Applied Machine Learning in Python?

The total duration of the course is approximately 31 hours (approximately). Since it is generally self-paced, completion time depends entirely on your learning schedule and availability.

Does this course include hands-on projects?

Yes, the curriculum is highly practical and includes hands-on projects. Completing these will help you build a portfolio of work to demonstrate your new skills.

What careers is this course relevant for?

The skills taught in this course are highly relevant for professionals pursuing roles within Data Science and adjacent technical fields looking to upskill.

Data Science|Data Science Learning Path

Applied Machine Learning in Python

Name: Applied Machine Learning in Python
Availability: InStock
Rating: 4.6 (8463 reviews)

This course is part of Applied Data Science with Python Specialization

4.6|Reviews (8.5K)

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Coursera Plus

₹13,999/yr

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Coursera Plus

₹2,099/mo

Single Learning ProgramStarting from ₹1,699/month

₹1,699/mo

TeamsPer user for 12 months

₹24,688

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Course Insight

Suitable for intermediate learners. Works well as a continuation after mastering Data Science fundamentals. It bridges the gap toward advanced, production-level engineering.

Intermediate FriendlySelf-Paced LearningProject-Based

SKILLS TO
MASTER

Analytics

Exploratory Data Analysis

Modeling

Predictive Machine Learning

SQL Querying

Relational Data Management

Pandas

Matplotlib

Statistics

Tableau

ETL

Careers:Backend Developer, Software Engineer, API Developer.

💡This course fits perfectly into our comprehensiveData Science Learning Path. Explore the ecosystem to see how it compares to other foundational skills.