Learn data science and analytics from scratch

a wide coverage of analysis skills, statistics, modeling, ML, AB testing, SQL and python
4.94 (8 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Learn data science and analytics from scratch
38
students
7.5 hours
content
May 2024
last update
$13.99
regular price

Why take this course?

👩‍💻 Course Title: Learn Data Science and Analytics from Scratch

🎉 Course Headline: Master the Full Spectrum of Analysis Skills, Statistics, Modeling, ML, A/B Testing, SQL & Python!


Meet Your Instructor, Sean: 🚀 With a wealth of experience at industry giants like Paypal, Google, and Chime, I'm Kangxiao, and I've spent years leveraging data to drive analysis, model building, and solve complex business problems. My journey through online learning led me to identify two critical gaps that this course addresses:

  1. Narrow Coverage: Many courses offer deep dives into specific areas but neglect the broad skill set required in real-world scenarios. Knowing the basics across multiple disciplines can give you a significant edge.
  2. Overemphasis on Technical Skills: While technical skills like coding and statistics are crucial, they often lack practical application in solving real-world problems.

Course Description: 📚 In this comprehensive course, I aim to bridge these gaps by providing a broad yet cohesive coverage of data science and analytics. We will explore case studies that seamlessly integrate data analysis, modeling, and coding, just as we do in the professional world. The most successful individuals at Paypal, Google, and Chime are those who excel at connecting these dots to tackle challenging problems.


What You'll Learn: 🧠 This course is designed to equip you with a versatile skill set that spans across:

  • Data Science Fundamentals: Gain insights into the core concepts of data science.
  • Statistical Analysis: Understand the theory and application of statistics in real-world scenarios.
  • Modeling Techniques: Learn various modeling methods and their practical uses.
  • Machine Learning (ML): Explore the world of ML with a clear connection to actual applications.
  • A/B Testing: Discover how to effectively design and interpret A/B tests to inform business decisions.
  • SQL & Python Proficiency: Master both SQL for data retrieval and manipulation, and Python for data analysis and modeling.

Real-World Application: 🌟 This course culminates in two major projects that will challenge you to apply your newly acquired knowledge:

  1. Nashville Housing Analysis Project 🏡

    • Objective: Analyze housing data to provide valuable insights and business recommendations for the booming Nashville real estate market.
    • Focus Area: Analytics and SQL
  2. Subscription Business Model Analysis Project 💳

    • Objective: As a VP of analytics, present an update to the CEO on the performance of our subscription service, backed by data-driven insights and recommendations for future growth.
    • Focus Area: Analytics, Modeling, Python, and SQL

Why Take This Course? 🎓 This course is your springboard to success in the field of data science and analytics. By joining this program, you will:

  • Gain a broad understanding of various analytical disciplines.
  • Connect theoretical concepts with real-world applications.
  • Develop practical skills that are highly sought after in the industry.
  • Complete hands-on projects that showcase your ability to analyze data and solve complex problems.

Don't miss this opportunity to elevate your career with a solid foundation in data science and analytics. 🌟 Join us now and take the first step towards becoming a data superhero!

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5516688
udemy ID
22/08/2023
course created date
17/09/2023
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