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Functions and Conditional Statements

In this course, you’ll discover how to call functions to perform useful actions on your data. You’ll also learn how to write conditional statements to tell the computer how to make decisions based on your instructions. And you’ll practice writing clean code that can be easily understood and reused by other data professionals.

By the end of this course, you will be able to:

• Explain the purpose and logic of conditional statements such as if, else, and elif

• Use comparators and logical operators to compare values

• List the benefits of commenting on code

By the end of this course, you will be able to:

• Explain the purpose and logic of conditional statements such as if, else, and elif

• Use comparators and logical operators to compare values

• List the benefits of commenting on code

• Identify best practices for writing clean code such as reusability, modularity, and refactoring

• Describe how to define Python functions using the def and return keywords

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What's inside

Syllabus

Functions

In this module, you will discover how to call functions to perform useful actions on your data.

Conditional statements

In this module, you will learn how to write conditional statements in order to direct the computer to make decisions based on the given instructions.

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Career center

Learners who complete Functions and Conditional Statements will develop knowledge and skills that may be useful to these careers:

Software Developer

A Software Developer designs, develops, and maintains software applications and systems. The course, Functions and Conditional Statements, directly applies to this role by providing core programming expertise. Software developers proficiently define and call functions to encapsulate reusable code, which is vital for building modular and scalable applications. The course's focus on conditional statements, including if, else, and elif, is critical for directing program logic and enabling systems to make precise, data-driven decisions. Understanding comparators and logical operators, as taught, underpins complex decision-making within software. Furthermore, the emphasis on writing clean, reusable, and well-commented code, applicable to Python, prepares individuals to contribute effectively to collaborative development environments. This course helps develop the fundamental programming habits crucial for success as a Software Developer, enabling the efficient creation of robust and maintainable software.

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Machine Learning Engineer

A Machine Learning Engineer designs, builds, and deploys intelligent systems and algorithms, a role heavily reliant on robust programming. The course, Functions and Conditional Statements, is profoundly beneficial, offering fundamental Python programming skills essential for this advanced field. Machine Learning Engineers routinely define functions for tasks such as data preprocessing, feature engineering, model training, and evaluation, ensuring modularity and scalability of ML pipelines. Conditional statements, including if, else, and elif, are critical for controlling algorithm flow, handling edge cases in data, or implementing complex decision logic within models. The course's focus on clean, reusable, and modular code directly aids in developing maintainable and collaborative ML projects. This course helps build the programming proficiency vital for constructing sophisticated machine learning solutions. This role typically requires an advanced degree.

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Backend Developer

A Backend Developer builds and maintains the server-side logic, databases, and APIs that power web applications. The course, Functions and Conditional Statements, provides core programming principles directly applicable to this technical role. Backend Developers constantly define and call functions to handle business logic, process data, interact with databases, and structure API endpoints, ensuring code reusability and system modularity. Conditional statements, such as if, else, and elif, are essential for routing requests, validating user input, managing authentication, and implementing diverse operational logic. The course's emphasis on clean, reusable and modular code, along with commenting best practices, is crucial for developing robust, scalable, and secure backend systems. This course helps build a fundamental programming skillset that is indispensable for crafting the core infrastructure of modern applications as a Backend Developer.

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Data Engineer

A Data Engineer designs, builds, and maintains the infrastructure for data processing, pipelines, and data warehouses, a role heavily reliant on programming. The course, Functions and Conditional Statements, provides critical foundational Python programming skills for this specialized field. Data Engineers extensively use functions to modularize ETL (Extract Transform Load) processes, data validation routines, and data ingestion steps, ensuring reusability and efficiency across complex data ecosystems. Conditional statements, such as if, else, and elif, are essential for handling diverse data formats, applying specific transformations based on data characteristics, or managing error conditions within data pipelines. The course's focus on clean, reusable, and modular code is vital for creating maintainable and robust data infrastructure. This course helps build the core programming proficiency crucial for success as a Data Engineer.

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Research Software Engineer

A Research Software Engineer develops and maintains specialized software tools and platforms for scientific research, blending research expertise with advanced programming. The course, Functions and Conditional Statements, provides foundational programming skills highly applicable to this role. Research Software Engineers extensively define functions to implement experimental protocols, process large datasets, visualize results, or build simulation models, ensuring reusability and modularity in their scientific codebase. Conditional statements, including if, else, and elif, are critical for controlling experimental workflows, handling diverse data conditions, or implementing complex decision logic within algorithms. The course's emphasis on writing clean, reusable, and modular code, along with commenting best practices, is crucial for creating transparent and reproducible research software. This course helps build the programming proficiency vital for advancing scientific discovery. This role typically requires an advanced degree.

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Game Programmer

A Game Programmer develops the logic, systems, and tools that bring video games to life. This role is deeply rooted in strong programming fundamentals, making the course, Functions and Conditional Statements, exceptionally pertinent. Game Programmers constantly define and invoke functions to manage game mechanics, character behaviors, physics simulations, or user interactions, ensuring code reusability and modularity within complex game engines. Conditional statements, such as if, else, and elif, are indispensable for controlling game flow, responding to player input, determining game state transitions, and implementing diverse in-game decision logic. The course's emphasis on writing clean, reusable, and modular code directly supports creating robust, performant, and collaborative game projects. This course helps aspiring Game Programmers cultivate essential habits and skills for a successful career in game development.

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Automation Engineer

An Automation Engineer designs and implements systems to streamline and optimize processes, often involving extensive scripting and programming. The course, Functions and Conditional Statements, offers highly relevant foundational programming expertise for this role. Automation Engineers frequently define functions to encapsulate repetitive tasks or complex sequences of operations, promoting reusability and efficiency across various automation scripts. Conditional statements, including if, else, and elif, are critical for directing automation flows, making decisions based on system states or data inputs, and handling different scenarios dynamically. The course's emphasis on writing clean, reusable, and modular code, applicable to Python, directly supports the creation of robust and maintainable automation solutions. This course helps build the essential logical and programming skills needed to design and implement effective, intelligent automation systems as an Automation Engineer.

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Data Scientist

A Data Scientist analyzes complex datasets to extract insights, build predictive models, and inform strategic decisions, often requiring strong programming skills. The course, Functions and Conditional Statements, is highly relevant, equipping aspiring Data Scientists with core Python programming for data manipulation and analysis. Data Scientists frequently use functions to modularize data preprocessing steps, statistical calculations, or model training routines, ensuring reusability and efficiency. Conditional statements, such as if, else, and elif, are essential for handling different data conditions, filtering data, or implementing logic within algorithms. The course's focus on clean, reusable code, along with commenting best practices, is crucial for writing transparent and maintainable analytical scripts. This course helps build the fundamental programming foundation necessary for effective data exploration, model development, and impactful research as a Data Scientist.

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Data Analyst

A Data Analyst collects, processes, and performs statistical analyses of data to uncover trends and insights, frequently relying on scripting. The course, Functions and Conditional Statements, provides crucial foundational programming skills for this role. Data Analysts extensively use functions to automate repetitive tasks like data cleaning, transformation, or report generation, ensuring consistency and accuracy. Conditional statements, including if, else, and elif, are indispensable for filtering data based on specific criteria, categorizing information, or implementing business rules within their analysis. The course’s emphasis on writing clean, reusable code and effective commenting, particularly in Python, helps Data Analysts create robust, understandable, and shareable analytical scripts. This course helps develop the core logical and programming capabilities essential for processing diverse datasets and delivering actionable insights as a Data Analyst.

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DevOps Engineer

A DevOps Engineer bridges development and operations, automating infrastructure, deployments, and monitoring, tasks which heavily involve scripting. The course, Functions and Conditional Statements, provides highly applicable foundational programming skills for this role. DevOps Engineers frequently define functions to encapsulate reusable automation scripts for tasks like provisioning resources, configuring systems, or deploying applications, enhancing efficiency and consistency. Conditional statements, including if, else, and elif, are critical for orchestrating deployment workflows, managing different environmental configurations, or implementing error handling logic within automation scripts. The course's emphasis on writing clean, reusable, and modular code, applicable to Python, directly aids in creating resilient and maintainable automation solutions. This course helps build the core programming capabilities essential for streamlining development lifecycles and managing scalable infrastructure as a DevOps Engineer.

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Quantitative Analyst

A Quantitative Analyst applies mathematical and statistical methods to financial and risk management problems, often requiring advanced programming for modeling. The course, Functions and Conditional Statements, provides foundational Python programming skills highly applicable to this analytical role. Quantitative Analysts extensively use functions to develop reusable financial models, implement complex algorithms, or conduct simulations, ensuring modularity and efficiency in their analysis. Conditional statements, including if, else, and elif, are critical for implementing trading strategies, risk management rules, or decision-making logic within quantitative models based on market conditions. The course's emphasis on writing clean, reusable code, along with commenting best practices, is crucial for creating transparent and auditable quantitative solutions. This course helps build the programming proficiency vital for developing sophisticated financial models. This role typically requires an advanced degree.

See salaries and explore the career path for Quantitative Analyst

Quality Assurance Automation Engineer

A Quality Assurance Automation Engineer designs and implements automated test scripts to ensure software quality and reliability. The course, Functions and Conditional Statements, offers highly relevant foundational programming expertise for this specialized role. Quality Assurance Automation Engineers frequently define functions to encapsulate reusable test steps, verification routines, or setup/teardown procedures, promoting efficiency and consistency in test frameworks. Conditional statements, including if, else, and elif, are critical for directing test flows, validating different application states, or handling various test scenarios dynamically based on test data or expected outcomes. The course's emphasis on writing clean, reusable, and modular code directly aids in creating robust and maintainable automation suites. This course helps build the programming capabilities essential for developing effective and comprehensive automated testing solutions.

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Cybersecurity Analyst Programmer

A Cybersecurity Analyst Programmer develops scripts and tools to detect, prevent, and respond to security threats, requiring strong scripting skills. The course, Functions and Conditional Statements, provides valuable foundational programming expertise for this critical role. Cybersecurity Analyst Programmers frequently define functions to automate security tasks like log analysis, vulnerability scanning, or incident response actions, promoting reusability and efficiency in security operations. Conditional statements, including if, else, and elif, are essential for analyzing security events, identifying suspicious patterns, or implementing rule-based threat detection logic. The course's emphasis on writing clean, reusable, and modular code, applicable to Python, directly aids in creating robust and maintainable security tools and scripts. This course helps build the core programming capabilities essential for enhancing an organization's defensive and offensive cybersecurity posture.

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Business Intelligence Developer

A Business Intelligence Developer designs and implements data models, dashboards, and reports, frequently requiring scripting for data transformation. The course, Functions and Conditional Statements, provides valuable foundational programming skills for this role. While often using SQL, Business Intelligence Developers employ Python for complex data extraction, transformation, and loading (ETL) processes, where functions are used to modularize data cleaning or aggregation steps. Conditional statements, such as if, else, and elif, are essential for applying specific business rules during data preparation, categorizing data, or handling various data quality issues. The course's focus on writing clean, reusable code and commenting helps maintain transparent and efficient data pipelines. This course helps build the scripting capabilities to enhance data preparation and analytical workflows, and contributes to providing actionable insights as a Business Intelligence Developer.

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Technical Support Engineer Scripting

A Technical Support Engineer Scripting specialist uses programming to automate troubleshooting, diagnostic, and resolution processes, improving efficiency. The course, Functions and Conditional Statements, offers valuable foundational programming expertise for this role. Technical Support Engineers frequently define functions to encapsulate common diagnostic routines, system checks, or automated fixes, promoting reusability and standardization of support solutions. Conditional statements, including if, else, and elif, are critical for directing troubleshooting flows, analyzing system logs for specific errors, or implementing automated responses based on problem conditions. The course's emphasis on writing clean, reusable, and modular code, applicable to Python, directly aids in creating robust and maintainable support scripts and tools. This course helps build the programming capabilities essential for enhancing problem-solving efficiency and delivering proactive support as a Technical Support Engineer Scripting specialist.

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Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Functions and Conditional Statements.

Refactoring

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Is considered the foundational text on refactoring. It provides a comprehensive catalog of refactorings with detailed explanations and examples. It's essential for gaining a broad understanding and must-read for anyone serious about software development. This book serves as an invaluable reference tool.

Refactoring: Improving the Design of Existing Code

Hardcover

Clean Code

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Foundational text for anyone looking to understand the principles and practices of writing clean code. It provides numerous code examples (primarily in Java) to illustrate good and bad code, making it highly practical. It is widely considered a must-read for developers seeking to improve the readability, maintainability, and testability of their code and is often recommended for both beginners and experienced programmers.

Clean Code: A Handbook of Agile Software...

Kindle Edition

Python for Data Analysis

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Created by the original architect of pandas, this masterwork teaches the canonical data structures and vectorized operations essential for slicing, cleaning, merging, and reshaping complex tabular datasets in Python.

Functions and Conditional Statements

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What's inside

Syllabus

Save this course

Career center

Reading list

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