Description
Learn Data Science and Analytics from Scratch Course. Hi, I’m Congxiao, I have many years of experience working with industry leaders such as PayPal, Google, and Chime. Throughout my career, I have used data to analyze, build models, and solve key business problems. When I learn online, I often encounter two problems:
- This course provides in-depth knowledge, but not very comprehensive coverage. Actually, we don’t need to be experts in everything. But if we know the basics of many things, it will benefit us a lot.
- This course focuses a lot on the technical side. I have found that many courses focus solely on coding, such as how to write Python code, or statistics, such as the math behind different types of ML models. And there are very few courses that combine data analysis, modeling, and coding together to solve real-world problems.
In this course, I want to bridge these gaps by providing very comprehensive coverage of data science, statistics, modeling, and coding, and using case studies to link data, coding, and statistics together. This is exactly what we do in the real world, in our daily work. The best talents I see in PayPal, Google, and Chime are those who are really good at connecting the dots to solve complex problems. At the end of this course, we will review two large projects with different axes. We will apply the knowledge learned earlier (statistics, analysis, SQL, Python, and modeling) to solve these two cases. The details of these two items are shown below:
- Nashville Housing Analysis
- TLDR: Nashville housing is booming, we have access to information about home prices, home details, and seller information. How can we use these to conduct analysis and provide business advice?
- Area of Focus: Analytics and SQL
- Analysis of the subscription business model
- TLDR: We launched a subscription service 2 years ago. As VP of Analytics, I want to provide our CEO with updates that include business performance, opportunities, and next step suggestions. We will use data to support our story.
- Area of Focus: Analysis, Modeling, Python and SQL
I hope this course can help you prepare for future success. If any of these interests you please join us.
What you will learn in the Learn Data Science and Analytics from Scratch course
-
Build a solid foundation for data analytics and data science
-
Mastering statistical fundamentals such as hypothesis testing and confusion matrix and modeling fundamentals such as regression models and ML models
-
Master analytical fundamentals like AB testing and coding fundamentals for SQL and Python
-
2 Complete a case study from start to finish with the skill sets we learned
This course is suitable for those who
- Students who are interested in data science and data analysis
Learn Data Science and Analytics from Scratch Course Specifications
- Publisher: Udemy
- Lecturer: Shawn Lee
- Training level: Beginner to advanced
- Training duration: 7 hours and 37 minutes
- Number of courses: 93
Course Topics Learn data science and analytics from scratch
Course Prerequisites Learn data science and analytics from scratch
- No Analytics/Coding/Statistics basics required, you will learn everything from this course
Course Images
Sample video of the course
installation Guide
After extract, watch with your favorite player.
Subtitles: none
Quality: 720p
download link
File Password: www.downloadly.ir
size
5.8 GB