Overview
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Embark on a comprehensive data science journey with this full course tutorial, covering essential topics from introduction to advanced concepts. Explore the high demand for data scientists, understand the field through Venn diagrams, and follow a structured pathway to mastery. Dive into big data, coding fundamentals, statistics, and business intelligence. Gain insights into various methods, sourcing techniques, and mathematical foundations crucial for data science. Delve into machine learning, interpretability, and actionable insights. Learn about data collection methods, including APIs and scraping. Master coding tools like R, Python, and SQL, while building a strong foundation in mathematics and statistics. Discover exploratory data analysis, hypothesis testing, and model validation techniques. Perfect for beginners and intermediate learners looking to enhance their data science skills and pursue lucrative career opportunities in this rapidly growing field.
Syllabus
Introduction to DataScience
Demand for DataScience
Venn Diagram
Data Science Pathway
Big Data
Coding
Statistics in Data science
Business Intelligence
Methods overview
Sourcing Overview
Math Overview
Statistics Overview
Machine learning Overview
Interpretability
Foundations of DataScience
Coding
Mathematics
Statistics
Taught by
Extern Code