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Introduction to Python for Data Science (Microsoft)

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Labs for Introduction to Python for Data Science.

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1
Hello Python
Free
Lab Exercises on Hello Python.
Play Chapter Now
The Python Interface
100 xp
When to use Python?
50 xp
Any comments?
100 xp
Python as a calculator
100 xp
2
Variables & Types
Free
Lab exercises on Variables & Types.
Play Chapter Now
Variable Assignment
100 xp
Calculations with variables
100 xp
Other variable types
100 xp
Guess the type
50 xp
Operations with other types
100 xp
Type conversion
100 xp
Can Python handle everything?
50 xp
3
Lists
Free
Lab exercises on Lists.
Play Chapter Now
Create a list
100 xp
Create list with different types
100 xp
Select the valid list
50 xp
List of lists
100 xp
4
Subsetting Lists
Free
Lab exercises on Subsetting Lists.
Play Chapter Now
Subset and conquer
100 xp
Subset and calculate
100 xp
Slicing and dicing
100 xp
Slicing and dicing (2)
100 xp
Subsetting lists of lists
50 xp
5
List Manipulation
Free
Lab exercises on List Manipulation.
Play Chapter Now
Replace list elements
100 xp
Extend a list
100 xp
Delete list elements
50 xp
Inner workings of lists
100 xp
6
Functions
Free
Lab exercises on Functions.
Play Chapter Now
Familiar functions
100 xp
Help!
50 xp
Multiple arguments
100 xp
7
Methods
Free
Lab exercises on Methods.
Play Chapter Now
String Methods
100 xp
List Methods
100 xp
List Methods (2)
100 xp
8
Packages
Free
Lab Exercises on Packages.
Play Chapter Now
Import package
100 xp
Selective import
100 xp
Different ways of importing
50 xp
9
Numpy
Free
Lab exercises on Numpy.
Play Chapter Now
Your First Numpy Array
100 xp
Baseball players' height
100 xp
Baseball player's BMI
100 xp
Lightweight baseball players
100 xp
Numpy Side Effects
50 xp
Subsetting Numpy Arrays
100 xp
10
2D Numpy Arrays
Free
Lab exercises on 2D Numpy Arrays.
Play Chapter Now
Your First 2D Numpy Array
100 xp
Baseball data in 2D form
100 xp
Subsetting 2D Numpy Arrays
100 xp
2D Arithmetic
100 xp
11
Numpy Basic Statistics
Free
Lab exercises on Numpy Basic Statistics.
Play Chapter Now
Average versus median
100 xp
Explore the baseball data
100 xp
Blend it all together
100 xp
12
Basic Plots with matplotlib
Free
Lab exercises on Basic Plots with matplotlib.
Play Chapter Now
Line plot (1)
100 xp
Line Plot (2): Interpretation
50 xp
Line plot (3)
100 xp
Scatter Plot (1)
100 xp
Scatter plot (2)
100 xp
13
Histograms.
Free
Lab exercises on Histograms.
Play Chapter Now
Build a histogram (1)
100 xp
Build a histogram (2): bins
100 xp
Build a histogram (3): compare
100 xp
Choose the right plot (1)
50 xp
Choose the right plot (2)
50 xp
14
Customization
Free
Lab exercises on Customization.
Play Chapter Now
Labels
100 xp
Ticks
100 xp
Sizes
100 xp
Colors
100 xp
Additional Customizations
100 xp
Interpretation
50 xp
15
Boolean Logic & Control Flow
Free
Lab exercises on Boolean Logic & Control Flow.
Play Chapter Now
Equality
100 xp
Greater and less than
100 xp
and, or, not (1)
100 xp
and, or, not (2)
50 xp
Warmup
50 xp
if
100 xp
Add else
100 xp
Customize further: elif
100 xp
16
Pandas
Free
Lab exercises on Pandas.
Play Chapter Now
CSV to DataFrame (1)
100 xp
CSV to DataFrame (2)
100 xp
Square Brackets
100 xp
loc (1)
100 xp
loc (2)
100 xp

Filip Schouwenaars

Data Science Instructor at DataCamp

Filip is the passionate developer behind several of DataCamp's most popular Python, SQL, and R courses. Currently, Filip leads the development of DataCamp Workspace, a collaborative data science notebook. Under the motto 'Eat your own dog food', he uses Workspace to understand how users learn on and interact with DataCamp. Filip holds degrees in Electrical Engineering and Artificial Intelligence.

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Course Description

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Hello Python

Variables & Types

Lists

Subsetting Lists

List Manipulation

Functions

Methods

Packages

Numpy

2D Numpy Arrays

Numpy Basic Statistics

Basic Plots with matplotlib

Histograms.

Customization

Boolean Logic & Control Flow

Pandas

What do other learners have to say?

Join over .css-ou6dz6{color:#03ef62;}13 million learners and start Introduction to Python for Data Science (Microsoft) today!

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Training 2 or more people?

Join over 13 million learners and start Introduction to Python for Data Science (Microsoft) today!