Are you ready to transform your career?

Learn Data Analysis with Python From Zero to Hero in 6 weeks!

You will learn everything you need to analyze data with Python.

 The class will begin on Monday, October 23, 2023

SEE WHAT'S INCLUDED ⤵

Why Learn Python?

Elevate Your Data Skills, Transform Your Career! 🚀

High Demand

Python is the most sought-after skill in all data professions!  With the surge in data-driven decision-making in businesses, Python proficiency has become a highly sought-after skill. 

Powerful Yet Easy to Learn

With libraries like Pandas and NumPy, Python simplifies complex data operations, making it a favorite for data professionals.

Career Opportunities

Python's flexibility allows data analysts to visualize and analyze data, automate repetitive tasks, and apply machine learning and AI. It truly is a skill that opens up many possibilities!

INTRODUCING

Data Analysis with Python: From Zero to Hero

 

WHY THIS COURSE?

This course is designed for you to not only learn Python but also learn how to apply Python to data analysis, how to become a data analyst, and how to think like a data analyst!

  • Hybrid Learning Experience: Combine the flexibility of on-demand video lessons with interactive weekly live labs and Q&A sessions.

  • Real-World Projects: Dive into hands-on projects that simulate actual data challenges, ensuring you're job-ready from day one.

  • Dedicated Support: Benefit from dedicated support, ensuring you're never stuck and always progressing.

  • Exclusive Community Access: Join a private community of learners and experts, fostering collaboration, networking, and continuous learning.

  • Mentorship: Make the most of dedicated office hours for one-on-one guidance, tailored feedback, and mentorship.

  • Comprehensive Curriculum: From Python basics to advanced data analysis techniques, we've got you covered. Learn everything you need to stand out.

Yes, It Really Is Possible!

With the right guidance, resources, and dedication, you can land your dream job in data!

Course Content

How This Course Works:
This is a 6-week intensive course. 

  • Every week, you will get video lessons to watch whenever you want during that week. These video lessons will teach the concepts and will have a coding part.
  • Every Saturday (select one of the live labs at 8 AM or 8 PM Pacific Time), we will have a 1-hour live session where we do hands-on work related to the week's video content and answer questions. 

How to Get Your Certificate:
To get your course certificate, you need to

  • Join 3 of the 5 live Saturday sessions from Week 1 through 5. 
  • I will provide two time options for the live labs: one at 8 AM and one at 8 PM Pacific Time, to accommodate different time zones and schedules. Attending either the AM or the PM session is sufficient to get a certificate. You do not need to attend both!
  • The Week 6 live lab is required to receive the certificate since we will work on a real-world data project together.

WEEK 1

October 23 - October 28

Dive into Python Basics

  • Introduction & Setting Up: Familiarize yourself with Google Colab and its interface.
  • Python Fundamentals: Delve into Python's unique syntax, variables, and essential data types.

Live Lab:

Attend one of Saturday, October 28, at 8 AM or 8 PM (Pacific Time)

  • Hands-on Review and Q&A: Discuss assignments and course content.

By the end of this week, you will...
Have a fully set-up Python environment and a solid grasp of its fundamental concepts.

WEEK 2

October 30 - November 4

Learn Control Flow in Python

  • Python Control Flow: Dive into 'If...else' conditions, 'For' loops, 'While' loops, and list comprehensions.

Live Lab:

Attend one of Saturday, November 4, at 8 AM or 8 PM (Pacific Time)

  • Hands-on Review and Q&A: Discuss assignments and course content.

By the end of this week, you will...
Be proficient in loops, conditional statements, and handling repetitive tasks efficiently.

WEEK 3

November 6 - November 11

Learn Functions and Modules

  • Python Functions: Discover the power of custom and built-in functions.
  • Modules & Libraries: Learn to create and leverage Python's modules and libraries.

Live Lab:

Attend one of Saturday, November 11, at 8 AM or 8 PM (Pacific Time)

  • Hands-on Review and Q&A: Discuss assignments and course content.

By the end of this week, you will...
Have the skills to write organized and modular code using functions and modules.

WEEK 4

November 13 - November 18

Navigate Numpy and Intro to Pandas

  • Numpy: Explore arrays, matrices, and Numpy operations.
  • Pandas Introduction: Begin your journey with the Pandas library, focusing on its foundational concepts.

Live Lab:

Attend one of Saturday, November 18, at 8 AM or 8 PM (Pacific Time)

  • Hands-on Review and Q&A: Discuss assignments and course content.

By the end of this week, you will...
Be equipped to handle numerical data with Numpy and have a foundational understanding of Pandas.

WEEK 5

November 20 - November 26

Deep Dive into Pandas

  • Advanced Pandas: Dive into data cleaning, handling missing data, data manipulation techniques, and more.

Live Lab:

Attend one of Saturday, November 26, at 8 AM or 8 PM (Pacific Time)

  • Hands-on Review and Q&A: Discuss assignments and course content.

By the end of this week, you will...
Learn Pandas for comprehensive data analysis and wrangling.

WEEK 6

November 27 - December 3

Data Visualization and Live Capstone Project

  • Matplotlib: Learn basic to advanced plotting techniques.
  • Live Real-world Application: This will be a live course where we will build a data analysis project from scratch together. I will also provide a template for approaching a data analysis project so that when you are all alone, you know what to do. 

Live Data Analysis (2 Days):

Attend one of December 2, Saturday, at 8 AM or 8 PM

Attend one of December 3, Sunday, at 8 AM or 8 PM

  • Hands-on Application: We will meet on Saturday and Sunday and spend 4 hours applying everything you have learned to a real-world dataset.

By the end of this week, you will...
Have the skills to visualize data effectively and know how to build a real-world data analysis project from scratch.

ENROLL AND LEARN DATA ANALYSIS WITH PYTHON

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