Introduction to Data Science (Free)

Kickstart your data science career with a free prep course from the best-reviewed data science bootcamp - for free.

8 Hours
3 Units

Kickstart Your Data Science Career

Students learn to work with different data structures in Python and build a strong foundation of object orientated programming so that they will be ready to learn the most popular data analytics and visualization packages such as numpy, scipy, pandas, matplotlib, and seaborn.

  • Project Oriented

    We don’t just teach the syntax/grammar of Python like all the other free resources on the Internet. Students will learn how to solve a real data science problem using Python skills.

  • Accelerated Admissions

    Students who apply to NYC Data Science Academy Bootcamp are fast-tracked through our own admissions process as priority applicants to our bootcamps

  • Engaging Community

    An active community of 2000+ working data scientists, like-minded peers, and data experts across various fields

What You Will Learn

Unit1
Conda Installation
2 Sessions
  • Install Anaconda on Mac

  • Install Anaconda on Windows

Unit2
Getting Started with Python
23 Sessions | 3 hours
  • Introduction to Jupyter Notebook

  • Shortcuts in Jupyter Notebook

  • Shortcuts in Jupyter notebook and output

  • Usage of a function

  • Usage of a function-binary operators

  • Syntactic note

  • Variables

  • Calling functions

  • Built-in functions

  • Defining functions

  • Exercise 1

  • Wrap function in a python module

  • List

  • List- Subscripting

  • Iterators

  • Defining Functions on Lists

  • Nested Lists

  • Functional operators

  • Boolean functions

  • Multiple list operations

  • String operations

  • Object method calls

  • Built-in String operations

Unit3
Data Structures and Control Flows
17 Sessions | 3 hours
  • Quick review and intro

  • File input and output introduction

  • Exercise 1

  • Scope of variables

  • File output

  • Data Structures

  • Mutating Operation on Lists

  • Exercise 2

  • Tuples, sets, and dictionaries intro

  • Tuples

  • Sets

  • Dictionaries

  • Conditionals

  • For loop

  • List comprehension

  • While loop

  • Error and exception handling

Want to Advance Your Skills?

Want to have a systematic learning experience of Data Science? Learn more about our bootcamp at NYC Data Science Academy to become a data science professional.

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