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Introduction to Python for Data Science (Microsoft)

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Course Description

Labs for Introduction to Python for Data Science.
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  1. 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. 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. 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. 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. 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. 6

    Functions

    Free

    Lab exercises on Functions.

    Play Chapter Now
    Familiar functions
    100 xp
    Help!
    50 xp
    Multiple arguments
    100 xp
  7. 7

    Methods

    Free

    Lab exercises on Methods.

    Play Chapter Now
    String Methods
    100 xp
    List Methods
    100 xp
    List Methods (2)
    100 xp
  8. 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. 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. 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. 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. 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. 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. 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. 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. 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
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Filip Schouwenaars HeadshotFilip Schouwenaars

Machine Learning Researcher

Filip is the passionate developer behind several of DataCamp's most popular Python, SQL, and R courses. He also led the development of DataLab, DataCamp's collaborative data science notebook. Holding degrees in Electrical Engineering and Artificial Intelligence, he currently works as a freelance machine learning researcher and data science educator.
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