The document discusses the importance of data science, addressing the data analyst shortage and detailing the skills required to become a data scientist, such as programming, statistics, and machine learning. It introduces Zipfian Academy's 12-week immersive bootcamp that combines project-based learning with mentorship to equip participants for success in the field. The document emphasizes the necessity of practical experience and diverse educational backgrounds in pursuing a career in data science.
Ryan Orban introduces the topic of data science, emphasizing its significance in today's world.
Discusses the shortage of data analysts and the growing need for data science capabilities. Definition of data science and its evolution, highlighting unprecedented data growth and the emergence of data scientists.
Essential skills for data scientists including communication, coding, and expertise in mathematics, machine learning, and software engineering.
Addresses the challenges faced in learning data science and emphasizes the importance of context in mastering it.
Various pathways to becoming a data scientist, including educational backgrounds, statistics on placements, and average salaries.
Provides details about the 12-week immersive boot camp at Zipfian Academy, curriculum structure, and real-world application.
Encourages practical learning through project portfolios, blogging, and offers additional resources for data science.
The Program
• 12-weekimmersive bootcamp in San Francisco
• Project-based curriculum with real datasets,
solving actual problems
• Guest lectures from leaders in the field
• Personal mentorship to help students grow
!
• Working knowledgeof programming
• Background in a quantitative
discipline
• Comfortable with mathematics and
statistics
• Child-like curiosity
What We Look For