Python for Beginners

New
·

2 Weeks

·

Cohort-based Course

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

Previously at

Microsoft
Kaplan
University of Washington

Course overview

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. Python also supports the automation of repetitive tasks, boosting efficiency in both technical and non-technical roles. For Excel users looking to expand their technical skills and take their data handling to the next level, Python is an ideal next step.

 

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, modules, and list comprehensions. With hands-on exercises, you'll apply what you learn in real-world scenarios, gaining confidence and competence in Python programming. Take advantage of this opportunity to build your technical foundation—join us today and begin your Python journey!


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 16 hours of instruction.


Prerequisites:

- Gmail account or Anaconda installation

- Zoom account

- A thirst for knowledge


Who is this course for

01

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

02

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

03

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

What you’ll get out of this course

Understand the basics of getting started with Python


Use comments effectively and work with variables and different data types.


Apply booleans and conditional statements to make decisions in code.


Work with lists and ranges for data collection and manipulation.


Implement loops to automate repetitive tasks.

Define and use functions for reusable code blocks.

Import and use modules and packages to extend Python's functionality.

Manipulate and format strings for text processing.

Utilize dictionaries for key-value data storage and retrieval.

Explore sets and tuples for unique and immutable data handling.

Create list, dictionary, and set comprehensions for concise data processing.

Identify, interpret, and handle errors and exceptions in code.

This course includes

8 interactive live sessions

Lifetime access to course materials

In-depth lessons

Direct access to instructor

Projects to apply learnings

Guided feedback & reflection

Private community of peers

Course certificate upon completion

Maven Satisfaction Guarantee

This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.

Course syllabus

Week 1

Jan 14—Jan 19

    Jan

    14

    Getting Started with Python. Comments, Variables and Data Types.

    Tue 1/145:30 PM—7:30 PM (UTC)

    Jan

    15

    Booleans and Conditionals

    Wed 1/155:30 PM—7:30 PM (UTC)

    Jan

    16

    Lists and Ranges

    Thu 1/165:30 PM—7:30 PM (UTC)

    Jan

    17

    Loops

    Fri 1/175:30 PM—7:30 PM (UTC)

Week 2

Jan 20—Jan 24

    Jan

    21

    Functions

    Tue 1/215:30 PM—7:30 PM (UTC)

    Jan

    22

    Modules and Packages. Strings.

    Wed 1/225:30 PM—7:30 PM (UTC)

    Jan

    23

    Dictionaries, Sets and Tuples

    Thu 1/235:30 PM—7:30 PM (UTC)

    Jan

    24

    Comprehension. Errors and Exceptions.

    Fri 1/245:30 PM—7:30 PM (UTC)

What people are saying

        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.
Anonymous

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.
Anonymous

Anonymous

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

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.
Anonymous

Anonymous

Open Data Science Conference East - Workshop

Meet your instructor

Roberto Reif

Roberto Reif

For the last few decades I've taught Technology and Data trainings at Bootcamps, Universities, and Corporations around the world. The subject areas I focus include Excel, Google Sheets, Word, PowerPoint, Tableau, Python, Presentation Skills, Data Literacy, Artificial Intelligence, Exploratory Data Analysis, Math for Data Analysis, Supervised Models (Regression and Classification), Unsupervised Models, NetDocuments, and more.

A pattern of wavy dots

Join an upcoming cohort

Python for Beginners

Cohort 1

$999

Dates

Jan 14—24, 2025

Payment Deadline

Jan 14, 2025
Get reimbursed

Course schedule

16 hours of live instruction

  • Tuesdays thru Fridays

    12:30pm - 2:30pm EST

    • 2 Hour Live Session per Day
    • Live Online lectures via Zoom
    • Students will have homework assignments.


    Note: If you are unable to make it to the live online sessions, you can watch the videos and engage with the content at your own pace at a later time.

Learning is better with cohorts

Learning is better with cohorts

Active hands-on learning

This course builds on live workshops and hands-on projects

Interactive and project-based

You’ll be interacting with other learners through breakout rooms and project teams

Learn with a cohort of peers

Join a community of like-minded people who want to learn and grow alongside you

Frequently Asked Questions

Stay in the loop

Sign up to be the first to know about course updates.

A pattern of wavy dots

Join an upcoming cohort

Python for Beginners

Cohort 1

$999

Dates

Jan 14—24, 2025

Payment Deadline

Jan 14, 2025
Get reimbursed

$999

2 Weeks