Пройти курс на EDX: DAT208x Introduction to Python for Data Science
Microsoft is partnering with DataCamp, an online data science school, to create and deliver this "Introduction to Python for Data Science" course.
In six modules, we will cover Python basics and prepare you to undertake data analysis using Python. We will start with basic arithmetic and variables, and eventually, you will learn how to handle data structures such as Python lists, Numpy arrays and Pandas DataFrames. Along the way, you will be introduced to Python functions and control flow. You will also take a first dive into the world of data visualization with Python and create your own stunning visualizations on real data.
Each module comprises of several lessons, knowledge checks, and labs. The lessons are divided into short videos, each accompanied by a short quiz to check your knowledge. The labs are done in an interactive in-browser coding environment, where you can practice coding, solve challenges, and receive instant feedback that guides you to the correct solution. These labs, which are collections of exercises, will reinforce your learning in the particular topic. We suggest you plan to take about two hours per week over the course of four weeks to complete the course. But of course, you are welcome to complete the course as your schedule allows.
Upon course completion, you will learn:
- Python language fundamentals: basic syntax, variables, and types
- Create and manipulate regular Python lists
- Use functions and import packages
- Build Numpy arrays and perform interesting calculations
- Create and customize plots on real data
- Use control flow and get to know the Pandas data frame
Goal Accomplishment Criteria
получила сертификат, пройдя весь курс
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1. Python Basics
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Lecture: Hello Python!
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Lab: Hello Python!
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Lecture: Variables and Types
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Lab: Variables and Types
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Further Readings
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2. List - A Data Structure
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Lecture: Python Lists
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Lab: Python Lists
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Lecture: Subsetting Lists
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Lab: Subsetting Lists
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Lecture: Manipulating Lists
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Lab: Manipulating Lists
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Further Readings
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3. Functions and Packages
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Lecture: Functions
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Lab: Functions
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Lecture: Methods
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Lab: Methods
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Lecture: Packages
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Lab: Packages
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Further Readings
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4. Numpy
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Lecture: Numpy
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Lab: Numpy
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Lecture: 2D Numpy Arrays
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Lab: 2D Numpy Arrays
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Lecture: Basic Statistics with Numpy
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Lab: Basic Statistics with Numpy
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Further Readings
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- 2071
- 19 January 2016, 18:44
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