Penny Stocks King: How 2 really Trade Penny Stocks (6+Hours)
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PyForward - Python Data Analysis with Pandas and NumPy
Learn how to automate manual processes, analyze big data, and best practices with data analysis and statistics.
5.010 reviews38 learners
- Beginner
- 3h 2m video
- 28 lectures
- English
- Captions
- Updated 2025
Taught by Keith Alexander Ashe
- 3h 2m of on-demand video
- 28 lectures across 5 sections
- One-off payment — no subscription
- Lifetime access on web and mobile
- Closed captions (English)
Curriculum
5 sections28 lectures3h 2m total
- Welcome to the Course0:35
- About Your Instructor0:33
- Outline and Objectives0:00
- Helpful Hints3:32
- A Brief History12:17
- Number Systems6:14
- Bits and Bytes13:37
- Data Analysis Best Practices4:47
- Data in the Enterprise + Agile5:38
- Process Improvement23:08
- Thinking Like a Programmer9:47
- AI, ML, and DS3:25
- What is Python?4:53
- Why Start with Python?3:53
- Downloading Anaconda3:13
- Hello, world! - Anaconda Walkthrough6:23
- RunSheet: Input-Output Worksheet0:00
- Variables, Logic, and Data Types4:15
- Data Structures/Collections3:14
- Pandas Library8:33
- NumPy Library5:54
- The Lambda Function4:32
- Loops1:42
- Advanced Analytics15:07
- Create Your Own Python Cheat Sheet1:21
- Data Analysis with Python10:50
- Landing a Job13:12
- Next Steps8:52
- Resources0:02
About this course
Start Your Journey in Coding and Data Analysis PyForward gives you the tools to build freedom, resilience, and career sustainability in today’s uncertain economy. You’ll write and understand your first lines of code, learn Python fundamentals, and complete your first data analysis project. With Python, tasks that take hours in Microsoft Excel can be done in minutes or seconds, saving you valuable time and boosting efficiency. You’ll also discover next steps: finding projects, showcasing your work, improving your r…
Before you start
- No programming experience. Familiarity with mathematics up to Algebra.
Who it’s for
- Finance professionals, data analysts, and aspiring software and data engineers.
- Beginner Python developers interested in data science and software engineering
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