Getting Digital

Python for Data Science and Machine Learning

Develop essential programming & development skills with expert instruction and practical examples.

Online Course
Self-paced learning
Flexible Schedule
Learn at your pace
Expert Instructor
Industry professional
Certificate
Upon completion
What You'll Learn
Master the fundamentals of programming & development
Apply best practices and industry standards
Build practical projects to demonstrate your skills
Understand advanced concepts and techniques

Skills you'll gain:

Professional SkillsBest PracticesIndustry StandardsPython
Prerequisites & Target Audience

Skill Level

IntermediateSome prior knowledge recommended

Requirements

Basic understanding of programming & development
Enthusiasm to learn
Access to necessary software/tools
Commitment to practice

Who This Course Is For

Professionals working in programming & development
Students and career changers
Freelancers and consultants
Anyone looking to improve their skills
Course Information

About This Course

Welcome to the "Python Mastery Practice Test: From Basics to Advanced" course. This practice test is designed to help you solidify your understanding of Python programming, data analysis, and machine learning. Whether you're a beginner looking to strengthen your foundational knowledge or an experienced developer seeking to enhance your skills, this practice test will provide you with a comprehensive and practical assessment of your abilities.

What You'll Learn:Python Programming Basics: Test your understanding of Python syntax, variables, data types, control flow, functions, and data structures. Ensure you have a solid foundation in Python programming. Data Analysis with NumPy and Pandas: Assess your skills in creating and manipulating arrays, DataFrames, and performing data operations.

Learn to handle real-world data efficiently. Data Visualization: Validate your ability to create and customize plots using Matplotlib, Seaborn, and Plotly. Enhance your data storytelling skills through effective visualizations.

Machine Learning Fundamentals: Evaluate your knowledge of machine learning concepts, algorithms, and model evaluation techniques. Test your understanding of both supervised and unsupervised learning methods. Practical Applications and Projects: Apply your skills to real-world scenarios, including data wrangling, feature engineering, model deployment, and database connectivity.

Provider
Udemy
Estimated Duration
10-20 hours
Language
English
Category
Technology & Programming

Topics Covered

Programming & DevelopmentPythonMachine LearningData Science

Course Details

Format
Online, Self-Paced
Access
Lifetime
Certificate
Upon Completion
Support
Q&A Forum
Course Details
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This course includes:

Lifetime access to course content
Access on mobile and desktop
Certificate of completion
Downloadable resources

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