Python for Beginners

Roberto Reif

Founder and CEO, ScholarU

Instructor

Absolute beginners can confidently learn Python!

Why should I learn Python?

Python is a versatile, beginner-friendly programming language that holds significant value across numerous industries, including web development, data analysis, artificial intelligence, machine learning, and scientific computing. Its broad applicability has created a strong demand for Python skills, opening doors to excellent job prospects and career advancement.

About the Course

This course is designed to prepare you with the essential skills to use Python effectively. You'll dive into fundamental data types such as integers, strings, floats, booleans, lists, dictionaries, sets, and tuples, while mastering core programming concepts like conditionals, loops, functions, and modules. With hands-on exercises, you'll apply what you learn in real-world scenarios.

Who Should Take This Course?

This course is intended for individuals starting a career in coding, data analysis or data science, as well as professionals seeking to expand their expertise in the field.

Course Duration:

The course will be delivered live online through Zoom, offering a total of 12 hours of instruction.

What you’ll learn

"Python for Beginners" is a foundational course designed for absolute beginners, to introduce you to programming.

  • You’ll be able to write simple scripts that run successfully

  • You’ll gain confidence in using Python’s basic syntax and structure to create well-organized code

  • You’ll know how to use comments to make your code easy to read and maintain

  • You’ll understand how to declare and manipulate variables using strings, integers, floats, and other data types

  • You’ll be able to use if, elif, and else statements to make your code react to different conditions

  • You’ll gain the ability to evaluate logical expressions with booleans to make your programs more dynamic and responsive

  • You’ll understand how to store, access, and update groups of data efficiently using these structures

  • You’ll know when to use each collection type depending on whether you need ordered, unique, or immutable data

  • You’ll automate repetitive tasks using for and while loops to make your code more efficient

  • You’ll organize your logic into reusable functions that simplify complex programs and reduce redundancy

  • You’ll learn to use built-in and third-party modules to expand Python’s capabilities

  • You’ll master string manipulation and formatting to produce clear, customized text output in your programs

Learn directly from Roberto

Roberto Reif

Roberto Reif

20+ years of Technology and Data Trainings

Who this course is for

  • Career Changers - Professionals who are transitioning into tech roles and want to learn Python as a first programming language.

  • Aspiring Data Analysts or Scientists - Individuals looking to build Python skills in data analysis, machine learning, or data science roles.

  • Excel Users - Experts aiming to enhance their skill sets by mastering advanced and more efficient analysis techniques.

Prerequisites

  • Gmail account

    We will code using Google Colaboratory

  • Zoom account

    We will run our live online sessions with Zoom

  • A thirst for knowledge

    This is a must have skill!

What's included

Roberto Reif

Live sessions

Learn directly from Roberto Reif in a real-time, interactive format.

Lifetime access

Go back to course content and recordings whenever you need to.

Community of peers

Stay accountable and share insights with like-minded professionals.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Maven Guarantee

This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.

Syllabus

Week 1

Jan 7—Jan 11

    Jan

    8

    Session 1: Getting Started with Python, Comments, Variables and Data Types

    Thu 1/81:00 AM—3:00 AM (UTC)

Week 2

Jan 12—Jan 18

    Jan

    15

    Session 2: Booleans and Conditional

    Thu 1/151:00 AM—3:00 AM (UTC)

Schedule

Live sessions

2 hrs / week

    • Thu, Jan 8

      1:00 AM—3:00 AM (UTC)

    • Thu, Jan 15

      1:00 AM—3:00 AM (UTC)

    • Thu, Jan 22

      1:00 AM—3:00 AM (UTC)

Homework Assignments

1-2 hrs / week

Success stories

  • You are a triple threat: 1) you're a skillful instructor that bridges gaps in understanding, 2) you display genuine care in the well being of your students, 3) you are honest but kind with your feedback, and give us the right amount for each student to grow instead of feeling overwhelmed. Thank you for everything.
    Testimonial author image

    Anonymous

    In person training
  • You are by far the most gifted instructor I've ever had. Your ability to completely break down a problem and explain it simply, all while remaining patient, was crucial to my experience. I just hope your creativity and eye for aesthetics rubbed off.
    Testimonial author image

    Anonymous

    In person training
  • Your clarity in your instruction and ability to help us understand difficult topics is something I truly admire.
    Testimonial author image

    Anonymous

    In person training
  • Top 5 stars!!! Great instructions and easy to follow and grateful he keeps checking into see if going too fast or too slow which is helpful.
    Testimonial author image

    Anonymous

    Open Data Science Conference East - Workshop

Frequently asked questions

$999

USD

Jan 8Feb 12