Python Coding Interview Prep

with Joy Harjanto
5/5
(4)

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.

1 hour of content 189 students
Start for Free

What you get:

  • 1 hour of content
  • 10 Interactive exercises
  • 31 Coding exercises
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

Python Coding Interview Prep

A course by Joy Harjanto
Start for Free

What you get:

  • 1 hour of content
  • 10 Interactive exercises
  • 31 Coding exercises
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

$99.00

Lifetime access

Buy now
Start for Free

What you get:

  • 1 hour of content
  • 10 Interactive exercises
  • 31 Coding exercises
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

What You Learn

  • Practice Python through real-world exercises and problem-solving
  • Solve complex technical questions commonly asked in interviews
  • Apply soft skills like communication, clarity, and confidence under pressure
  • Learn how to handle real-life data challenges like missing data
  • Build the skills to stand out in both technical and behavioral interview rounds

Top Choice of Leading Companies Worldwide

Industry leaders and professionals globally rely on this top-rated course to enhance their skills.

Course Description

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.

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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

Curriculum

  • 1. Introduction to Python Coding Interview
    2 Lessons 4 Min
    Introduction To Course
    3 min
    Course Format Read now
    1 min
  • 2. How To Succeed At Interviews
    9 Lessons 9 Min
    Importance of Soft Skills
    1 min
    How To Avoid Stress
    1 min
    Stating Your Assumptions
    1 min
    Critical Thinking
    1 min
    Writing Clean Code
    1 min
    Thinking About Edge Cases
    1 min
    How To Ask Questions
    1 min
    Communicating Clearly
    1 min
    Recap of This Section
    1 min
  • 3. Python Basics
    8 Lessons 8 Min
    Material Covered
    1 min
    Python Basics: Part 1 Explanation Read now
    1 min
    Python Basics: Part 2 Explanation Read now
    1 min
    Python Basics: Part 3 Explanation Read now
    1 min
    Python Basics: Part 4 Explanation Read now
    1 min
    Python Basics: Part 5 Read now
    1 min
    Python Basics: Part 6 Explanation Read now
    1 min
    Recap of Material Covered
    1 min
  • 4. Control Flow: Part 1
    7 Lessons 7 Min
    Material Covered
    1 min
    Stock Prices Question: Part 1 Explanation Read now
    1 min
    Stock Prices Question: Part 2 Explanation Read now
    1 min
    Stock Prices Question: Part 3 Explanation Read now
    1 min
    Stock Prices Question: Part 4 Explanation Read now
    1 min
    Stock Prices Question: Part 5 Explanation Read now
    1 min
    Recap of Material Covered
    1 min
  • 5. Control Flow: Part 2
    8 Lessons 11 Min
    Material Covered
    1 min
    Stock Market Question: Part 1 Explanation Read now
    1 min
    Stock Market Question: Part 2 Explanation Read now
    1 min
    Stock Market Question: Part 3 Explanation Read now
    1 min
    Stock Market Question: Part 3 Explanation
    2 min
    Stock Market Question: Part 4 Explanation Read now
    1 min
    Stock Market Question: Part 4 Explanation
    3 min
    Recap of Material Covered
    1 min
  • 6. Comprehension
    7 Lessons 8 Min
    Material Covered
    1 min
    Stock Market Question: Part 1 Explanation Read now
    1 min
    Real Estate Question: Part 2 Explanation Read now
    1 min
    Real Estate Question: Part 3 Explanation Read now
    1 min
    Real Estate Question: Part 3
    2 min
    Real Estate Question: Part 4 Explanation Read now
    1 min
    Recap of Material Covered
    1 min
  • 7. String Manipulation
    5 Lessons 5 Min
    Material Covered
    1 min
    Extract Email Channels Explanation Read now
    1 min
    Filter By Reviews Explanation Read now
    1 min
    Parsing Logs Into Dictionary Explanation Read now
    1 min
    Recap of Material Covered
    1 min
  • 8. Pandas Basic
    6 Lessons 6 Min
    Material Covered
    1 min
    Explanation: Grouping and Aggregation Read now
    1 min
    Explanation: Filter and Sort Read now
    1 min
    Explanation: Generate New Columns Read now
    1 min
    Explanation: Basic Time Series Read now
    1 min
    Recap of Material Covered
    1 min
  • 9. Working with Missing Data 
    8 Lessons 9 Min
    Material Covered
    1 min
    Missing Data in Lists: Part 1 Explanation Read now
    1 min
    Missing Data In Lists: Part 2 Explanation Read now
    1 min
    Missing Data in Dictionaries Explanation Read now
    1 min
    Missing Data in Pandas: Part 1 Explanation Read now
    1 min
    Missing Data in Pandas: Part 2 Explanation Read now
    1 min
    Missing Data Principles Read now
    2 min
    Recap of Material Covered
    1 min
  • 10. Writing Unit Tests
    2 Lessons 2 Min
    Material Covered
    1 min
    Recap of Material Covered
    1 min
  • 11. Working With External Data
    2 Lessons 2 Min
    Material Covered
    1 min
    Recap of Material Covered
    1 min
  • 12. Test Module
    1 Lesson 1 Min
    Bonus Exercises Read now
    1 min
  • 13. Closing Remarks
    2 Lessons 2 Min
    Last Minute Tips
    1 min
    Recommended Resources Read now
    1 min

Topics

Interview prepSoft skillsProgramming

Tools & Technologies

python

Course Requirements

  • Basic knowledge of Python (variables, loops, functions, etc.)
  • You've worked with Python before and are comfortable writing simple scripts
  • Enthusiasm for learning and improving your problem-solving skills

Who Should Take This Course?

Level of difficulty: Intermediate

  • You're preparing for upcoming technical interviews and want to feel confident
  • You want to build both your coding and communication skills for real-world interviews
  • You're looking to simulate what it’s like to solve problems under pressure
  • You want practical, hands-on experience beyond just watching tutorials

Exams and Certification

A 365 Data Science Course Certificate is an excellent addition to your LinkedIn profile—demonstrating your expertise and willingness to go the extra mile to accomplish your goals.

Exams and certification

Meet Your Instructor

Joy Harjanto

Joy Harjanto

Worked at

1 Courses

4 Reviews

189 Students

Entrepreneurial content creator, software engineer, and startup leader with a dynamic career spanning media, technology, and education. Currently creating engaging lifestyle content on YouTube. Co-Founder & CEO pioneering innovative solutions at kawara.ai. Formerly contributed technical expertise as a Software Engineer at Bloomberg LP and served as a Data Product Analyst at The New York Times. Passionate about education, having taught as an Adjunct Assistant Instructor at Columbia University's Graduate School of Journalism. Holds a B.S. in Statistics from UCLA, with distinguished involvement in investment groups, data visualization competitions, and campus publications.

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