About the course
Use Python to complete real-world coding exercises and begin your data science journeyConfidently tackle our Data Science Career Track technical skills surveyDetermine whether the Data Science Career Track is right for you by trialing our unique Springboard learning experience
Who this course is for
This course is for go-getters who want to enroll in our Data Science Career Track, but who need an introduction to, or a refresher in, Python programming or core data science concepts. No prior coding experience is required, but to be successful, we recommend that students are already proficient in high-school level mathematics and are eager to learn more advanced concepts where necessary.
What you'll learn
- Introduction to Python
- Statistics refresher
- Data visualization
- Dictionaries and their applications
- Advanced control flow techniques
- Input and output
- Counting and probability
- Conditional probability and independence
- Bayes Theorem
- Basics of data structures
- Fundamentals of algorithm analysis
- Basic algorithms: sort and search
- Assemble your Python toolkit
- Data wrangling with Pandas
- Data visualization with matplotlib
- Acquire, clean, and transform data
- Explore data, identify patterns
- Solve a realistic business problem for Yelp
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Your own mentor, focused on your success
Personalized learning support
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Inspiration and motivation from the best
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Pricing
Cohorts begin every Monday. Apply tuition to the Career Track. Read how in FAQs.
Curriculum created by educators and experts in Python and data science—specifically designed for future Data Science Career Track students6 weekly sessions (30 minutes each) with your expert mentorLifetime access to the curriculum and practice exercisesProprietary learning content, practice exercises, quizzes, and projectsDedicated student advisor and student operations supportWeekly office hours with the broader Springboard data science communityMentor support, including review of exercises and your final projectPreferential Data Science Career Track application review and admissions fast-tracking upon course completionFrequently asked questions
The total estimated workload is 40-60 hours, expected to be completed in 4-6 weeks.
No prior coding experience is required, but to be successful, we recommend that students are already proficient in high-school level mathematics with an openness to learning more advanced concepts where necessary.
This course will prepare you with the skills needed in Python and statistics to pass our admissions technical skills survey, but enrolling in this course does not guarantee admission into the Data Science Career Track.
You may apply to the Data Science Career Track at any time, even after enrolling in the prep course. As soon as you feel comfortable in Python and statistics, we encourage you to fill out an application and take the admissions technical skills survey. However, students who complete the entire prep course and submit the final project will be fast-tracked through the Career Track application process.