Learn Data Science
This course will help you start your journey to becoming a data scientist. You’ll learn the basic ideas, useful tools, and real-life examples you need to begin your career.
- Ace Data Science InterviewsDemonstrate your ability to solve data science problems and articulate your approach in interviews, showcasing practical skills and knowledge.
- Implement SQL Queries for AnalysisRetrieve and analyze data from relational databases using SQL, enabling you to extract actionable insights for decision-making.
- Build Predictive ModelsCreate and evaluate machine learning models using Python, translating data into actionable insights for real-world applications.
- Prepare Data for AnalysisClean and preprocess datasets effectively, ensuring data quality and reliability for accurate analysis and modeling.
Dr. Khayyam Hashmi is a seasoned computer scientist and Generative AI and Machine Learning specialist. As a researcher, educator, and the VP of Technical Content at Educative, he is dedicated to making complex computing concepts accessible for learners worldwide. With a PhD in Computer Science from Wayne State University and academic publications in service-oriented systems and intelligent computing, Khayyam excels at fusing an academic perspective with practical software engineering insights. Khayyam’s courses, writing, and research spans technical topics including adaptive AI systems, neural networks, Intelligent tutoring systems, and production-ready software design.
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What You'll Learn
- Explore the fundamentals of data science, including its purpose, key components, and real-world applications.
- Analyze data science problems using the data science pipeline, from identifying questions to deploying predictive models.
- Access and manipulate data from various sources using Python, including CSV, JSON, and APIs.
- Utilize SQL to retrieve, filter, and organize data from relational databases for effective analysis.
- Clean and prepare datasets by identifying and fixing common data issues such as missing values and duplicates.
- Build and evaluate machine learning models using regression and classification techniques to generate predictions.
Learning Roadmap
1.
Dive into Data Science
Dive into Data Science
2.
Talk to Data
Talk to Data
3.
Clean It Up
Clean It Up
6 Lessons
6 Lessons
4.
Make Sense of Data
Make Sense of Data
5 Lessons
5 Lessons
5.
Build Smart Stuff
Build Smart Stuff
7 Lessons
7 Lessons
7.
Appendix
Appendix
3 Lessons
3 Lessons
Khayyam Hashmi
Computer scientist and Generative AI and Machine Learning specialist. VP of Technical Content @ educative.io.
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