Become a Business Data Analyst. Learn Python, Statistics, and Data Analytics using the latest industry tools
Instructed by Diogo Alves de Resende 16 hours on-demand video & 11 articles
What you’ll learn
-
The skills to become a professional Business Analyst and get hired
-
Step-by-step guidance from an industry professional
-
Learn to use Python for statistics, causal inference, econometrics, segmentation, matching, and predictive analytics
-
Master the latest data and business analysis tools and techniques including Google Causal Impact, Facebook Prophet, Random Forest and much more
-
Participate in challenges and exercises that solidify your knowledge for the real world
-
Learn what a Business Analyst does, how they provide value, and why they’re in demand
-
Analyze real datasets related to Moneyball, wine quality, Wikipedia searches, employee remote work satisfaction, and more
-
Learn how to make data-driven decisions
-
Enhance your proficiency with Python, one of the most popular programming languages
-
Use case studies to learn how analytics have changed the world and help individuals and companies succeed
Who this course is for:
- Developers that want a step-by-step guide to learn and master Business Data Analytics from scratch all the way to being able to get hired at a top company
- Students who want to go beyond all of the “beginner” Python and Data Analytics tutorials out there
- Developers that want to use their skills in a new discipline
- Programmers who want to learn one of the most in-demand skills
- Students that want to be in the top 10% of Business Data Analysts
- Students who want to gain experience working on large, interesting datasets
- Bootcamp or online tutorial graduates that want to go beyond the basics
- Students who want to learn from an industry professional with real-world experience, not just another online instructor that teaches off of documentation
Similar Courses
Deal Score+1
Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.