Data Science Prep Course
San Francisco
California
94111
United States
What You Will Learn :
- Use Python to complete real-world coding exercises and begin your data science journey
- Confidently tackle our Data Science Career Track technical skills survey
- Determine whether the Data Science Career Track is right for you by trialing our unique Springboard learning experience
Description
Need more prep for our Data Science Career Track? You’ve come to the right place. In this mentor-led course, you’ll spend 4-6 weeks learning foundational skills in Python programming and statistics, as well as introductory data science concepts—all via a curriculum specifically designed to help you pass the Data Science Career Track admissions technical skills survey.
UNIT 1 – INTRODUCTION TO DATA SCIENCE & PYTHON
- Introduction to Python
- Statistics refresher
- Data visualization
UNIT 2 – INTERMEDIATE PYTHON FOR DATA SCIENCE
- Dictionaries and their applications
- Advanced control flow techniques
- Input and output
UNIT 3 – FOUNDATIONS OF PROBABILITY
- Counting and probability
- Conditional probability and independence
- Bayes Theorem
UNIT 4 – COMPUTER SCIENCE PRIMER
- Basics of data structures
- Fundamentals of algorithm analysis
- Basic algorithms: sort and search
UNIT 5 – EXPLORING DATA
- Assemble your Python toolkit
- Data wrangling with Pandas
- Data visualization with matplotlib
UNIT 6 – PYTHON CASE STUDY
- Acquire, clean, and transform data
- Explore data, identify patterns
- Solve a realistic business problem for Yelp
Who is this course 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.
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