Master the Fundamentals of Data Science – From Core Concepts to Career Paths in the Data Science Revolution
Embark on your data science journey with this comprehensive beginner-friendly course that demystifies the world of data science. Whether you’re a complete beginner, career changer, or professional looking to understand data science better, this course provides a solid foundation in data science concepts, tools, methodologies, and career opportunities.
What you’ll learn
- Application of Algorithms in Data Science: learners will be capable of applying algorithms in the field of data science..
- Machine Learning Fundamentals: Introduction to machine learning concepts & Deep learning.
- Understand Python for Machine Learning: Students will gain proficiency in using Python and essential libraries (such as NumPy, Pandas, and Matplotlib etc).
- Exploratory Data Analysis (EDA): Gain skills in analyzing datasets to discover patterns, trends, and insights..
- Proficiency in Implementing Algorithms: Learners will gain proficiency in implementing algorithms in programming, specifically using Python..
- Explore Advanced Topics and Ethical Considerations: Participants will explore advanced machine learning topics.
- Algorithm Design Techniques: Delve into different algorithm design paradigms such as divide and conquer, dynamic programming, and greedy methods..
- Understand the Machine Learning Pipeline & Its components.
- Understand & Experience in Model Training, Deployment, & Operational Best Practices.
Course Content
- What is all the fuss about Data Science? –> 12 lectures • 54min.
- The Pillars of Data Science –> 23 lectures • 2hr 39min.
- Machine learning, Deep learning & Artificial Intelligence in Data science –> 20 lectures • 2hr 24min.
- Introduction To large language models and foundation models –> 6 lectures • 18min.
- Roles in Data Science –> 7 lectures • 40min.
- This is where we part way –> 1 lecture • 16min.
Requirements
Embark on your data science journey with this comprehensive beginner-friendly course that demystifies the world of data science. Whether you’re a complete beginner, career changer, or professional looking to understand data science better, this course provides a solid foundation in data science concepts, tools, methodologies, and career opportunities.
You’ll explore what data science really means, discover the four pillars that support the field, understand the tools and technologies that power data-driven decisions, and learn about various career paths including Data Scientist, ML Engineer, Data Engineer, and AI Engineer roles. Through practical examples, real-world case studies, and hands-on exercises, you’ll gain the knowledge and confidence to either pursue a career in data science or effectively collaborate with data science teams. You Ready?
What is Primarily Taught in Your Course:
- Fundamental concepts and definitions of data science
- The four foundational pillars of data science
- Essential tools and technologies used in the field
- Real-world applications and impact of data science across industries
- Comprehensive overview of data science career roles and responsibilities
- Practical guidance for transitioning into data science careers
- Hands-on exposure to data science thinking and problem-solving approaches
- Educational Assignments, quizzes and tests
- Impact & Ethics: How data science transforms businesses and society responsibly