FAANG+M Applied Data Science Bootcamp
Hands on Applied Data Science
Data Science,Data Analysis,Data Visualization,Data Analytics
Lectures -12
Resources -1
Duration -2.5 hours
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Course Description
Welcome to 'Introduction to Applied Data Science’ training to start a new journey or sharpen your DS skills. I'm Mustafa, here to guide you through this training. With a rich background at Facebook and Microsoft, and extensive consulting across various industries and geographies, I've gathered unique insights that I'm eager to share with you. Data science is more than a profession; it's a pivotal force in our technological evolution, especially with the rise of generative AI. This course is crafted to immerse you in the real-life applications of Applied Data Science. Whether you're an aspiring data scientist or a seasoned analyst, these training modules are tailored for all levels, focusing on practical, hands-on learning. We'll be using a synthetic dataset designed for an online shopping platform, giving you a realistic environment to sharpen your skills. Our journey includes comprehensive sections like 'Know Your SQL', 'Fundamentals in Python', 'Data Visualization', and much more. Each module is designed to be flexible, allowing you to learn at your own pace. By the end of this course, you'll not only answer real business questions but also be equipped to drive data-driven decisions. So, let's dive in and explore the fascinating world of applied data science together!
Goals
* How to integrate Generative AI in Applied Data Science
* How to query and manipulate data using SQL for insightful analysis
* Essential Python programming skills for data science applications
* Techniques for creating impactful data visualizations to communicate findings
* Understanding metric movements
* Forecasting future trends and metric behavior using statistical models
* Designing and interpreting A/B tests for effective decision-making
* Distinguishing between correlation and causation
* Identifying product-market fit using data-driven approaches
* Applying machine learning algorithms for predictive and clustering analyses
* Understanding basics of using APIs
Prerequisites
No programming needed to take this course. Just be curious to learn.
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Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction and Set Up
1 Lectures
-
Introduction and Set Up 12:02 12:02
Business Case: Online Shopping Site
10 Lectures
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Closing
1 Lectures
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Instructor Details
![Mustafa Akcacakir](https://www.tutorialspoint.com/assets/profiles/1221096/profile/200_880046-1716568635.jpg)
Mustafa Akcacakir
With a career spanning close to 2 decades, I bring a wealth of experience in data science across various industries and regions. My journey began as a Financial Analyst and evolved into leading roles at Microsoft and Facebook. I've built and managed diverse teams, driving data-driven decision-making and innovation in financial, telecom, and technology sectors. My expertise lies in leveraging data analysis and cross-functional program management to deliver impactful results. Throughout my career, consulting in different regions has enriched my understanding of data science applications, making me adept at adapting strategies to varied business contexts.
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