Intermediate Python Programming
Boost your Python programming skills: Learn advanced text manipulation and efficient coding techniques
$99.00
Lifetime access
What you get:
- 1 hour of content
- 12 Downloadable resources
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
Intermediate Python Programming
$99.00
Lifetime access
What you get:
- 1 hour of content
- 12 Downloadable resources
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
$99.00
Lifetime access
$99.00
Lifetime access
What you get:
- 1 hour of content
- 12 Downloadable resources
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
What You Learn
- Acquire key Python skills that serve as stepping stones towards Python proficiency
- Boost your skills when it comes to working with text data and argument specifiers
- Enhance the handling efficiency of your Python code with list comprehensions
- Understand and apply anonymous (Lambda) functions to simplify and improve your Python code
- Take advantage of Python’s nested for loops to solve complex problems with multi-level iteration
- Become a proficient Python programmer
Top Choice of Leading Companies Worldwide
Industry leaders and professionals globally rely on this top-rated course to enhance their skills.
Course Description
This course is short yet intense. We assume you’re no stranger to Jupyter and Python fundamentals, such as conditionals, functions, sequences, and iterations. Nevertheless, a lack of experience working with text data, list comprehensions, and anonymous (Lambda) functions would immediately reveal to your data science colleagues that coding in Python hasn’t become second nature. In the following sections, we explain these intermediate programming tools in detail and provide an extensive set of exercises to ensure your ability to comply with today’s best practices in the field.
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1.1 Course Introduction
3 min
2.1 Dealing with Text Data and Argument Specifiers
9 min
2.3 Working with Python Strings at the Next Level
4 min
2.5 Exploring Python String Methods - Part I
7 min
2.7 Exploring Python String Methods - Part II
7 min
3.1 The Concept of Iterating Over Range Objects in Python
4 min
Interactive Exercises
Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.
Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.
Curriculum
- 2. Working with Text Data in Python6 Lessons 41 Min
Whether you use Python for general programming or analytics, you’ll not only manage quantitative data; you’ll also need to clean and preprocess vast amounts of text data. This section covers various tools—such as argument specifiers and string accessors—to help you manipulate text data. We’ll also work with widely-applicable Python string methods, such as .split(), .strip(), and .format().
Dealing with Text Data and Argument Specifiers9 minWorking with Python Strings at the Next Level4 minExploring Python String Methods - Part I7 minExploring Python String Methods - Part II7 minLearning How to Use String Accessors5 minWorking with the .format() Method9 min - 3. Nested for Loops, List Comprehensions, and Anonymous Functions5 Lessons 32 Min
Once accustomed to manipulating text data, doors will open for you to employ several tools that will optimize the use of iterations and functions to the highest level. You’ll learn and apply iteration over range objects, nested for loops, list comprehensions, and anonymous (Lambda) functions.
The Concept of Iterating Over Range Objects in Python4 minIntroduction to Nested For Loops6 minWorking with Triple Nested For Loops6 minUsing List Comprehensions9 minWorking with Anonymous (Lambda) Functions7 min
Topics
Course Requirements
- Highly recommended to take the Intro to Python course first
- You will need to install the Anaconda package, which includes Jupyter Notebook
Who Should Take This Course?
Level of difficulty: Intermediate
- Aspiring data analysts, data scientists, data engineers, AI engineers
- Existing data analysts, data scientists, data engineers who want to boost their Python programming skills
- Graduate students who need Python for their studies
- Everyone who wants to learn how to code in Python
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.
Meet Your Instructor
Martin began working with 365 in 2016 as the company’s second employee. Martin’s resilience, hard-working attitude, attention to detail, and excellent teaching style played an instrumental role in 365’s early days. He authored some of the firm’s most successful courses. And besides teaching, Martin dreams about becoming an actor. In September 2021, he enrolled in an acting school in Paris, France.
What Our Learners Say
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