Learning How to Program in Python and Analyzing US Housing Data has Never Been Easier!
Here's what's included in this course š:
- Learn Python š with real world examples related to real estate š”
- Web scraping from scratch
- Retrieving data via APIs
- Manipulating housing and economic data sources š
- Access to exclusive AnalyticsAriel created APIs
- Building a Tableau dashboard to track your market š
- Milestone projects you can show case
Data & API Sources š»:
- Data sources include Zillow, Realtor, Redfin, Yahoo Finance, US Census, FRED, and more
- APIs include Nasdaq, Yahoo, REAPI, Estated, Regrid, and more
Optional: Free 30min 1:1 session with your instructor š¤
Meet Your Instructor
Hey! My name is Ariel Herrera and I'm the founder of AnalyticsAriel.com. My passion for data analytics š and real estate š” started when I tried to evaluate deals as a real estate investor in 2019. I soon discovered information was limited so I started my own YouTube channel š„ to share my journey on bridging the gap between real estate and data analytics with Python.
I have professional industry experience dating back to 2015 as a Data Scientist š¤ for numerous Fortune 500 companies. I believe anyone can learn Python š with concrete examples and step-by-step coaching. So I created this course to demystify Python, simplify the learning process and make real estate data analytics accessible for anyone to learn š.
Connect with me on LinkedIn!
Course Curriculum
- Lesson 01: Welcome to Step 1! (1:00)
- Lesson 02: Create Rapid API Account
- Lesson 03: Subscribe to US Housing Market Data
- Lesson 04: Create a Gmail Account
- Lesson 05: Upload Course Materials (3:14)
- Lesson 06: Run Hello World! (6:36)
- Lesson 07: Create Github Account
- Lesson 08: Create Tableau Public Account
- Lesson 09: Review Tableau Gallery (3:55)
- Lesson 01: Welcome to Step 2! (1:11)
- Lesson 02: Introduction to Python (3:14)
- Lesson 03: Data Types (17:47)
- Lesson 04: Lists, Dictionaries, and Tuples (12:36)
- Lesson 05: Conditionals & Loops (19:50)
- Lesson 06: Functions (9:59)
- Lesson 07: List Comprehensions (6:38)
- Lesson 08: Pandas Data Wrangling (27:05)
- Lesson 09: Visualizations (16:42)
- Lesson 10: Joining Data (8:41)
- Lesson 01: Welcome to Step 4! (1:02)
- Lesson 02: Zillow Housing Data (24:46)
- Lesson 03: Realtor Real Estate Data (13:45)
- Lesson 04: Redfin Housing Market Data (10:27)
- Lesson 05: Apartment List Rent Estimates (22:55)
- Lesson 06: U.S. Census Bureau Data (11:49)
- Lesson 07: Federal Reserve Economic Data | FRED (6:24)
- Lesson 08: Kaggle Datasets (3:14)
- Lesson 01: Welcome to Step 5! (0:59)
- Lesson 02: Introduction to APIs (3:44)
- Lesson 03: Economic Data | Bureau of Labor Statistics API (16:40)
- Lesson 04: Financial Data | Yahoo Finance API (22:35)
- Lesson 05: Housing Data | Nasdaq Quandl Zillow API (27:12)
- Lesson 06: Property & Land Parcel Data APIs (9:19)
Create Stunning Tableau Dashboards
Take a sneak peak into the US National Housing and Economic Stats Tableau Dashboard, a visualization š you will create within the course!
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Frequently Asked Questions (FAQ)
How long do I have access to the course?
You will have lifetime access to the course.
What equipment/tools will I need to complete the course?
At the beginning of the course, you will only need a computer and an email account.
What do I do if I need help?
If you have a question related to this course, emailĀ [email protected].Ā Thanks!
How long is the course?
Plan to take about four to six weeks to complete the course. There are over 50 video lessons. Most videos are 5ā10 minutes long, with the shortest video around 1 minute and the longest about 20 minutes.
Can I pay with PayPal?
Yes. On the checkout page under the "Billing Information" section, switch from the Credit Card tab to the PayPal tab. Choose your country and click "Enroll in Course" to be directed to the PayPal checkout.
What if I am unhappy with the course?
Oh no! We don't want that! We offer a 30-day money-back guarantee. If you are unhappy with the course for any reason, let us know and we will refund your payment within 30 days. We would appreciate notification within the first 30 days of the course.