Python for Data Science, AI & Development

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Python for Data Science, AI & Development

Unlock the power of Python for Data Science, AI, and Development with this free, fast-paced course! Master Python basics, data structures, programming fundamentals, and advanced techniques like working with APIs, pandas, and web scraping. In just five modules, you'll gain hands-on skills to handle real-world data challenges and build intelligent applications. Start your journey to becoming a data science and AI expert today

  • No Rating
  • (0 Reviews)
  • 2 students enrolled

Admin NexSkillz
Users Enrolled 79

What you'll learn

  • Demonstrate proficiency in Python programming, including working with variables, data types, strings, and data structure...
  • Apply programming fundamentals such as loops, conditional statements, functions, and object-oriented concepts to solve r...
  • Utilize Python libraries such as pandas and numpy to process, analyze, and manipulate data effectively.
  • Develop the ability to interact with APIs, perform web scraping, and manage data collection for practical applications i...

Requirements

  • Basic computer skills and a keen interest in Python, data science, and AI.

Description

Embark on a journey to master Python for Data Science, AI, and Development with this free and comprehensive course. Designed for beginners and intermediate learners, this course empowers you to build a strong foundation in Python programming while equipping you with essential skills for real-world data science and AI applications. Divided into five structured modules, the course covers Python basics, data structures, programming fundamentals, working with data, and APIs for data collection. With hands-on exercises and practical projects, you'll be ready to tackle the challenges of data-driven industries confidently.

Course Modules

  1. Module 1: Python Basics

    • Introduction to Python and the course structure
    • Understanding types, expressions, and variables
    • Mastering string operations for data manipulation

  2. Module 2: Python Data Structures

    • Dive into lists, tuples, and dictionaries
    • Explore sets for efficient data handling

  3. Module 3: Python Programming Fundamentals

    • Grasp conditional statements, branching, and loops
    • Create reusable code with functions
    • Handle errors with exception handling
    • Introduction to objects and classes
    • Practice through hands-on Python programming exercises

  4. Module 4: Working with Data in Python

    • Learn file operations (reading/writing) using Python
    • Analyze data effectively with pandas
    • Perform numerical computations with numpy

  5. Module 5: APIs and Data Collection

    • Explore simple and REST APIs
    • Master web scraping for data extraction
    • Consolidate your knowledge with a final exam
Who Should Enroll?
  • Beginners interested in learning Python for the first time.
  • Data enthusiasts who want to dive into data science and AI.
  • Developers looking to enhance their Python skills for development and data analysis.
  • Students and professionals eager to gain an edge in the fields of AI, machine learning, and software development.
Benefits of This Course
  1. Hands-On Learning: Practical exercises and real-world examples ensure skill mastery.
  2. Structured Progression: Build skills step by step with clearly defined modules.
  3. Flexible Learning: Complete modules at your own pace, with a goal of one per week.
  4. Cost-Free Access: A high-quality course with no cost attached.
  5. Career-Boosting Skills: Gain expertise in Python, data science, AI, and APIs, making you a valuable candidate in the tech industry.
How This Course Increases Your Worth

By completing this course, you will:

  • Develop Python programming skills, a must-have for data science and AI careers.
  • Gain proficiency in handling, analyzing, and processing data with Python tools like pandas and numpy.
  • Be equipped to work with APIs and scrape web data, valuable skills for automation and data collection.
  • Stand out to employers by demonstrating your ability to solve real-world problems with Python.

Start your journey today and transform your skillset with Python for Data Science, AI, and Development!

Course Content

5 sections • 24 lectures • 02h 16m total length
Introduction to Python - Video Lecture
In this lecture, we’ll explore the basics of Python programming, a versatile and beginner-friendly language. Learn fundamental concepts, syntax, and how to write your first Python code efficiently.
4min
Introduction to Jupyter - Video Lecture
In this lecture, we’ll introduce Jupyter Notebook, a powerful tool for interactive computing. Learn how to use its features for coding, data analysis, and visualizations in Python.
4min
Expression - Video Lecture
In this lecture, we’ll delve into expressions in Python, the building blocks of computations. Learn how to create, evaluate, and use expressions effectively in your programs.
4min
String Operations - Video Lecture
In this lecture, we’ll explore string operations in Python, a fundamental aspect of handling text data. Learn techniques to manipulate, format, and analyze strings efficiently.
4min
Types - Video Lecture
In this lecture, we’ll discuss data types in Python, the foundation of all programming operations. Learn about different types, their properties, and how to use them effectively in your code.
3min
Dictionaries - Video Lecture
In this lecture, we’ll explore dictionaries in Python, a powerful data structure for storing key-value pairs. Learn how to create, access, and manipulate dictionaries effectively.
2min
List & Tuples - Video Lecture
In this lecture, we’ll dive into lists and tuples in Python, essential data structures for organizing and managing collections of items. Learn their key differences and how to use them efficiently.
9min
Sets - Video Lecture
In this lecture, we’ll explore sets in Python, a unique data structure for storing unordered, non-duplicate elements. Learn how to create, manipulate, and apply sets in various scenarios.
5min
Conditions and Branching - Video Lecture
In this lecture, we’ll discuss conditions and branching in Python, essential for decision-making in your code. Learn how to use if-else statements and logical operators to control the flow of your programs.
10min
Exception Handling - Video Lecture
In this lecture, we’ll cover exception handling in Python, a crucial concept for building robust programs. Learn how to identify, manage, and respond to errors using try, except, and finally blocks.
4min
Functions - Video Lecture
In this lecture, we’ll explore functions in Python, a fundamental concept for creating reusable and organized code. Learn how to define, call, and utilize functions to simplify and enhance your programs.
14min
Loops - Video Lecture
In this lecture, we will explore loops in Python, an essential concept for executing repetitive tasks efficiently. Learn how to use for and while loops to iterate through data and automate processes in your programs.
7min
Objects and Classes - Video Lecture
In this lecture, we will delve into objects and classes in Python, the core concepts of object-oriented programming. Learn how to define classes, create objects, and leverage their properties and methods to design modular and reusable code.
11min
Loading Data with Panda - Video Lecture
In this lecture, we will explore how to load data using pandas, one of Python’s most powerful libraries for data manipulation. Learn to import datasets from various formats like CSV, Excel, and more to begin your data analysis journey.
2min
Reading Files with Open - Video Lecture
In this lecture, we will explore how to read files using the `open` function in Python. Learn to handle text files efficiently, including reading, writing, and managing file operations.
4min
Writing Files with Open - Video Lecture
In this lecture, we will learn how to write files using the `open` function in Python. Discover how to create, modify, and save data to files efficiently for various applications.
3min
One Dimensional Numpy - Video Lecture
In this lecture, we will explore one-dimensional arrays in NumPy, a powerful library for numerical computing in Python. Learn how to create, manipulate, and perform operations on one-dimensional arrays efficiently.
11min
Two Dimensional Numpy - Video Lecture
In this lecture, we will dive into two-dimensional arrays in NumPy, a crucial tool for handling matrix-like data structures. Learn how to create, manipulate, and perform operations on 2D arrays effectively.
7min
Application Program Interface - Video Lecture
In this lecture, we will explore Application Programming Interfaces (APIs), essential tools for enabling communication between software applications. Learn how to use APIs to access and interact with external services and data.
5min
Web Scraping - Video Lecture
In this lecture, we will delve into web scraping, a technique for extracting data from websites. Learn how to use Python libraries like BeautifulSoup to gather and process web content efficiently.
5min
HTML for Web Scraping - Video Lecture
In this lecture, we will explore the basics of HTML, the backbone of web pages, to understand its structure and elements. Learn how to navigate and extract data from HTML using Python for web scraping.
5min
Working with Different File Formats - Video Lecture
In this lecture, we will learn how to work with different file formats in Python, such as CSV, Excel, JSON, and more. Discover how to read, write, and process data across various formats for seamless integration into your projects.
4min
REST APIs & HTTP Requests (Part 1) - Video Lecture
In this lecture, we will explore REST APIs and HTTP requests, focusing on how web services communicate. Learn the basics of making GET and POST requests in Python to interact with APIs and retrieve data.
4min
REST APIs & HTTP Requests (Part 2) - Video Lecture
In this lecture, we will explore REST APIs and HTTP requests, focusing on how web services communicate. Learn the basics of making GET and POST requests in Python to interact with APIs and retrieve data.
5min

About Instructor

instructor
Admin NexSkillz
About Instructor

An LMS (Learning Management System) instructor is a person who is responsible for creating and delivering educational content to students through an LMS platform. They use the platform to create courses, assignments, quizzes, and other educational materials that are used to teach students. The instructor may also interact with students, grade assignments, and provide feedback on their progress. The goal of an LMS instructor is to provide an effective and efficient learning experience for students using the LMS platform.

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