Learn data science and analytics from scratch
a wide coverage of analysis skills, statistics, modeling, ML, AB testing, SQL and python
Ratings 5.00 / 5.00
What You Will Learn!
- Set a solid foundation for data analytics and data science
- Master the statistic basics such as hypothesis testing and confusion matrix, and modeling basics such as regression model and ML model
- Master the analytic basics like AB testing and coding basics for SQL and Python
- Complete 2 case studies from end to end with the skillsets we learned
Description
Hi, this is Kangxiao, I have many years working experience from industry leaders like Paypal, Google and Chime. Throughout my entire career, I use data to do analysis, build models and solve key business problems.
When I learn online, I often ran into two issues:
The course offers in-depth knowledge, but it doesn't have very broad coverage. In reality, we don't need to be experts for everything. But it will give us a huge advantage if we know the basics for a lot of things.
The course focuses too much on the technical side. I find a lot of the courses focus entirely on either coding like how to write python codes, or stats like the math behind different kinds of ML models. And there are very few courses that link data analysis, modeling and coding together to solve real world problems.
In this course, I want to fulfill these gaps by offering a very broad coverage of data science, statistics, modeling and coding, and using case studies to connect data, coding, and stats together. That’s exactly what we do in the real world, in our day to day work. The best talents I observe in Paypal, Google and Chime are the ones who are really good at connecting these dots together to solve complicated problems.
At the end of this course, we will go through two major projects together with different focus areas. We will apply the knowledge we learned before (statistics, analytics, SQL, Python and modeling) to solve these two cases. The details of these two cases are shown below:
Nashville housing analysis
TLDR: Nashville housing is booming, we have some data about the house prices, house details and seller information. How can we use these to perform analysis and give business advice?
Focus Area: Analytics and SQL
Subscription business model analysis
TLDR: We launched the subscription service 2 years ago. As the VP of analytics, we want to provide an update to our CEO including the business performance, where the opportunities and next step suggestions. We will use data to support our story.
Focus Area: Analytics, Modeling, Python and SQL
I hope this course can help set you ready for your future success. Please join us, If any of these interest you.
Who Should Attend!
- Students that are interested in data science and data analytics