Online Course new
Python Coding Interview Prep

This course prepares you for technical interviews by combining hands-on Python coding practice with essential soft skills to help you stand out with confidence.

4.9

808 reviews on
404 students already have enrolled
  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Skill level:

Intermediate

Duration:

1 hour
  • Lessons (1 hour)

CPE credits:

1
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of professionals must earn to maintain their licenses and stay current with regulations and best practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's official website: www.nasbaregistry.org

Accredited:

certificate

What You Learn

  • Practice Python through real‑world coding exercises and problem-solving.
  • Solve complex technical questions commonly asked in interviews.
  • Apply soft skills like clarity, communication, and confidence under pressure.
  • Learn how to handle real‑life data challenges such as missing or messy data.
  • Stand out in both technical and behavioral rounds with polished skills.

Topics & tools

interview prepsoft skillsprogrammingpython

Your instructor

Course OVERVIEW

Description

CPE Credits: 1 Field of Study: Specialized Knowledge
Delivery Method: QAS Self Study

This comprehensive course is designed to thoroughly prepare you for technical Python coding interviews by combining extensive hands-on coding practice with essential soft skills training. Whether you're gearing up for your first technical interview or aiming to strengthen your existing skills, this course has you covered.

You'll begin with a foundational understanding of what to expect in a Python coding interview, followed by an exploration of crucial soft skills such as managing stress, articulating clear assumptions, critical thinking, and effective communication. These lessons are crafted to ensure you not only solve coding problems efficiently but also present your thought processes clearly and confidently.

The core technical content of the course covers Python fundamentals, control flow techniques, comprehension methods, string manipulation, and essential pandas operations. Each topic is taught through detailed coding exercises that reflect common real-world interview scenarios, such as analyzing stock prices, managing real estate data, and handling log information. Special attention is dedicated to dealing with missing data across various data structures, including lists, dictionaries, and pandas dataframes, equipping you to tackle one of the most common challenges encountered in technical interviews.

To further solidify your skills, the course includes extensive guidance on writing clean, efficient code, thoroughly considering edge cases, and implementing effective unit tests. Additionally, you'll gain practical experience working with external data, enhancing your ability to integrate and manipulate data from diverse sources.

Every coding exercise includes a detailed, step-by-step explanation, ensuring you understand not just how to arrive at the solution, but also why it works, reinforcing your ability to tackle similar problems confidently in interview settings.

By the end of this course, you'll be equipped with both the technical expertise and soft skills essential to excel in Python coding interviews, confidently tackling complex questions with clarity and precision.

Prerequisites

  • Python (any recent version, such as Python 3.8 or later) and a code editor or IDE (e.g., VS Code, PyCharm, or Jupyter Notebook)
  • Completion of an introductory Python course is recommended.

Advanced preparation

Curriculum

67 lessons 41 exercises 1 exam

Free preview

Introduction To Course

1.1 Introduction To Course

3 min

Course Format

1.2 Course Format

1 min

Importance of Soft Skills

2.1 Importance of Soft Skills

1 min

How To Avoid Stress

2.2 How To Avoid Stress

1 min

Material Covered

3.1 Material Covered

1 min

Python Basics: Part 1 Explanation

3.3 Python Basics: Part 1 Explanation

1 min

Start for free

9 in 10

people walk away career-ready

with practical data and AI skills.

4.9

Based on 808 reviews

#1 most reviewed

AI and data learning platform on Trustpilot.

96%

of our students recommend

365 Data Science.

ACCREDITED certificates

Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global institutions.

Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities employers value most.

  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Certificates are included with the Self-Study learning plan.

A LinkedIn profile mockup on a mobile screen showing Parker Maxwell, a Certified Data Analyst, with credentials from 365 Data Science listed under Licenses & Certification. A 365 Data Science Certificate of Achievement awarded to Parker Maxwell for completing the Data Analyst career track, featuring accreditation badges and a gold “Verified Certificate” seal.

How it WORKS

  • Lessons
  • Exercises
  • Projects
  • Practice Exams
  • AI Mock Interviews

Lessons

Learn through short, simple lessons—no prior experience in AI or data science needed.

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Exercises

Reinforce your learning with mini recaps, hands-on coding, flashcards, fill-in-the-blank activities, and other engaging exercises.

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Projects

Tackle real-world AI and data science projects—just like those faced by industry professionals every day.

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Practice Exams

Track your progress and solidify your knowledge with regular practice exams.

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AI Mock Interviews

Prep for interviews with real-world tasks, popular questions, and real-time feedback.

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Student REVIEWS

A collage of student testimonials from 365 Data Science learners, featuring profile photos, names, job titles, and quotes or video play icons, showcasing diverse backgrounds and successful career transitions into AI and data science roles.