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Python for Data Science

  • Master the Art of Python Programming with Board Infinity and Propel Your Journey into Data Science.
  • Free tutorial
  • Rating: 4.2 out of 54.2 (41 ratings)
  • 2,738 students
  • 1hr 58min of on-demand video
  • Created by Board Infinity


What you’ll learn

  • Python Basics: Learn Python syntax, identifiers, keywords, and variables, setting a solid foundation for more advanced concepts.
  • Operators and Control Flow: Understand and apply Python’s arithmetic, assignment, and comparison operators along with control flow statements.
  • Loop Structures: Master using ‘for’ and ‘while’ loops for efficient execution of repeated tasks.
  • Conditional Statements: Develop proficiency in using ‘if’ statements to control the decision-making processes within programs.


  • This course “Python for Data Science” does not have any prerequisites, making it suitable for beginners with no prior programming experience. It covers essential Python concepts from the basics to facilitate learning and understanding for data science applications.


Python for Data Science is a comprehensive course brought to you by Board Infinity, designed to introduce individuals to the Python programming language, with a special focus on its applications within the realm of data science.

The course starts with a thorough introduction to the Python programming language, guiding you through the fundamentals needed to develop proficiency and confidence. You’ll learn the importance of correct Indentation in Python, an essential feature that establishes the structure of your code.

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Following the basics, we dive into specific components of Python that make it an ideal language for data manipulation and analysis. We’ll delve into Python Identifiers, Keywords, and Variables – these are the building blocks that will allow you to write and understand Python code.

Once the foundation is set, we’ll move on to understand the various operators in Python – Arithmetic, Assignment, and Comparison Operators. These operators are critical in performing calculations, assigning values, and comparing data – necessary tasks in data science.

The next section of the course will introduce you to Python’s control flow tools – the If Statement, While Loop, For Loop, and the Break Statement. Understanding these components will allow you to write code that can make decisions, repeat tasks, and control the flow of your programs, which is vital in data pre-processing and analysis.

Throughout the course, real-world examples and exercises will be provided to give you hands-on experience and help cement your understanding of these concepts. By the end of this course, you’ll have a strong foundation in Python programming, preparing you for more advanced topics in data science and machine learning.

Whether you’re a beginner in programming or eager to enhance your data science skills, this course by Board Infinity is your perfect start.

Who this course is for:

  • This course “Python for Data Science” is designed for beginners and aspiring data scientists who want to learn Python programming for data science applications. The course provides a solid foundation in Python, enabling learners to perform data manipulation, analysis, and visualization effectively for various data science tasks.
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Course content

3 sections • 11 lectures • 1h 57m total lengthCollapse all sections

Introduction to Python4 lectures • 36min

  • Introduction to Python Programming Language10:53
  • Indentation in Python06:26
  • Python Identifiers09:31
  • Variables in Python08:44
  • Python Basics5 questions

Operators In Python3 lectures • 17min

  • Arithmetic Operators11:00
  • Assignment Operators03:02
  • Comparison Operators03:14
  • Python Operators5 questions

Conditional Statements In Python4 lectures • 1hr 5min

  • If Statement18:32
  • While Loop09:23
  • For Loop21:31
  • Break Statement15:26
  • Conditional Statements in Python5 questions

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