2023 CORE: Data Science and Machine Learning
Master essential job skills! This course covers all core competencies employers seek. Boost your career with practical, in-demand abilities.
Course Content
2023 CORE: Data Science and Machine Learning is an all-levels Udemy course taught by Dr. Isaac Faber. It runs 28h 32m, is taught in English, and includes a certificate of completion. Learners rate it 4.6 out of 5 from 348 reviews, with 3,195 students enrolled. It is a paid course, last updated August 2023.
Ready to land your first data science job? This intensive course focuses on the essential skills you need for day one. We cut through the noise and deliver a practical, no-fluff curriculum centered on real-world data science applications.
You'll master the core tools and technologies demanded by employers, including:
- Python: Become proficient in Python, the industry-leading programming language for data science.
- R: Explore R for statistical computing and data analysis.
- SQL: Learn SQL to efficiently query and manipulate data from databases.
- Math, Stats & Algorithms: Build a strong foundation in the mathematical and statistical principles underpinning data science, including essential algorithms.
- Tableau: Develop compelling data visualizations with Tableau.
- Excel: Gain advanced Excel skills for data manipulation and analysis.
This course is designed for aspiring Data Analysts, General Data Scientists, and Machine Learning Engineers. We'll teach you the foundational concepts and practical skills you need to succeed, avoiding overly complex or irrelevant topics.
Learn from first principles, guided by the Data Science Roadmap, a curated collection of resources built on years of industry experience. We'll also survey critical technologies you'll encounter on the job, such as:
- GitHub: Version control and collaborative coding.
- Kaggle: Participate in data science competitions and learn from community datasets.
- Cloud Computing (Basics): An introduction to cloud platforms.
- Web Development (Basics): Understanding the basics of web technologies.
- Docker (Basics): Containerization for efficient deployment.
With over 200 videos, readings, and hands-on assignments, you'll gain the confidence and practical skills to thrive in the data science field. Whether you're a complete beginner or looking to strengthen your skillset, this course provides a comprehensive path to joining the data community. Start your data science journey today!
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