Unlock Your Future: Master Data Analytics with Python in 12 Weeks!
Join our 12-week journey to become a data analytics pro with Python. Learn essential skills, from data cleaning to machine learning, and open doors to exciting career opportunities!
Hey there Nerd Nook crew!
Get ready for an exciting 12-week journey into the world of Data Analytics with Python. I’ve been listening to a lot of you as you are asking for more content surrounding Data Analytics.
I’ve been wanting to do a mini series surrounding this topic to hopefully get you immersed in Data analytics as well as playing around with tools that can help you with this.
A large emphasis will be on Pandas and maybe some with Polars for this too. I have a rough roadmap below of what you can expect, now most of this will be available for both my free and premium readers! But premium readers will get a boat load more content as usual.
So if you are wanting to join in the fun and follow along consider doing as a premium read, this really helps me keep my newsletter going and you get boat loads of content to help you grow where ever you are in your Python journey.
Now as a free reader you will still get insights on each article but nowhere close to the full length content I have coming our on Fridays. Also remember that articles older than 6 weeks get put behind a paywall for my premium members too.
Here is a Lifetime discount for premium you can use! Come and join the fun and let’s learn Data Analytics together. As always as a premium reader you can suggest topics at the bottoms, let me know you thoughts.
We start this week! ~ Josh
👉 If you’re excited for this, please help me out and leave it a ❤️. This helps more people discover this newsletter on Substack! Thank you so much!
Why Get Into Data Analytics?
Data is everywhere! Knowing how to analyze and understand it is a superpower. Companies depend on data analysts to make smart decisions, spot trends, and plan their next steps. Learning data analytics can open doors to many job opportunities and make a real impact in any organization.
P.S. ~ I may cover off topic articles surrounding other areas of interest throughout, this will be covered in the free issues. I’ll wait to hear your feedback!
What We’ll Cover
We’ll start from the basics and gradually move to more advanced topics. Each week, you’ll get hands-on practice with popular Python libraries like pandas, matplotlib, and plotly.
Here’s a sneak peek:
Week 1: Introduction to Data Analytics
Get the big picture of what data analytics is all about and the tools we’ll use.
Week 2: Getting and Cleaning Data
Learn how to gather data from different sources and clean it for analysis.
Week 3: Exploring Your Data
Discover how to dig into your data to find patterns and insights.
Week 4: Wrangling and Transforming Data
Master techniques to reshape and prepare your data.
Week 5: Basics of Data Visualization
Create clear and informative charts and graphs.
Week 6: Advanced Data Visualization
Dive into complex visualizations and build interactive dashboards.
Week 7: Basics of Statistical Analysis
Understand key statistical concepts and how to use them.
Week 8: SciPy for Statistical Analysis
Learn how to use SciPy for strong statistical analysis in Python.
Week 9: Introduction to Machine Learning
Explore how machine learning can enhance your data analysis.
Week 10: Time Series Analysis
Analyze data over time and make forecasts.
Week 11: Data Ethics and Governance
Learn the importance of handling data responsibly and ethically.
Week 12: Building a Career in Data Analytics
Get tips on creating a portfolio, acing interviews, and continuing to learn.
Join In!
This series is easy to follow and practical, with each week building on the last. By the end, you’ll have a solid foundation in data analytics and the confidence to tackle real-world problems.
The roadmap may change some as we go through the weeks, I’ll be making videos surrounding some of this content as well!
Whether you’re looking to boost your skills, switch careers, or just learn something new, join us on this exciting adventure to become a data analyst.
Stay tuned, and let’s get started on this amazing trip together!