-
Урок 1.
00:08:24
Course Welcome & Curriculum Walkthrough
-
Урок 2.
00:01:50
What Do You Need To Know To Take This Course?
-
Урок 3.
00:02:39
Downloading The Course Materials IMPORTANT!!
-
Урок 4.
00:02:15
How The Exercises Work
-
Урок 5.
00:05:33
Introducing Jupyter Notebook!
-
Урок 6.
00:06:21
Mac Installation Walkthrough
-
Урок 7.
00:06:39
Windows Installation Walkthrough
-
Урок 8.
00:04:08
"Installing" Pandas & Matplotlib (Mac & Windows)
-
Урок 9.
00:06:39
Creating Notebooks & Running Cells
-
Урок 10.
00:05:09
Shutting Down The Notebook Server
-
Урок 11.
00:02:32
How Cell Output Works
-
Урок 12.
00:06:21
Command Mode Shortcuts
-
Урок 13.
00:04:57
Cell Types: Markdown Time!
-
Урок 14.
00:06:48
Restarting The Kernel
-
Урок 15.
00:02:48
Viewing The Docs Inside A Notebook
-
Урок 16.
00:02:43
EXERCISE: Jupyter Notebook
-
Урок 17.
00:06:03
SOLUTION: Jupyter Notebook
-
Урок 18.
00:05:32
Datasets & CSV
-
Урок 19.
00:06:43
pd.read_csv & DataFrames
-
Урок 20.
00:07:18
Inspecting DataFrames: head(), tail(), etc.
-
Урок 21.
00:04:48
DataTypes and info()
-
Урок 22.
00:05:14
The House Sales Dataset Walkthrough
-
Урок 23.
00:08:28
The Titanic Passenger Dataset Walkthrough
-
Урок 24.
00:08:18
Non-comma Separators: Netflix Dataset
-
Урок 25.
00:04:19
Overriding Headers: Country Population Dataset
-
Урок 26.
00:03:11
EXERCISE: DataFrames & Datasets
-
Урок 27.
00:08:49
SOLUTION: DataFrames & Datasets
-
Урок 28.
00:05:25
Min & Max
-
Урок 29.
00:09:01
Sum & Count
-
Урок 30.
00:05:36
Mean, Median, & Mode
-
Урок 31.
00:04:24
Describe With Numeric Values
-
Урок 32.
00:07:48
Describe With Objects (Text) Values
-
Урок 33.
00:01:46
EXERCISE: Basic DataFrame Methods
-
Урок 34.
00:04:36
SOLUTION: Basic DataFrame Methods
-
Урок 35.
00:07:22
Selecting A Single Column
-
Урок 36.
00:08:32
A Closer Look At Series
-
Урок 37.
00:05:11
Important Series Methods
-
Урок 38.
00:05:16
unique & nunique
-
Урок 39.
00:07:16
nlargest & nsmallest
-
Урок 40.
00:03:43
Selecting Multiple Columns
-
Урок 41.
00:08:14
The powerful value_counts() method
-
Урок 42.
00:10:51
Using plot() to visualize!
-
Урок 43.
00:02:57
EXERCISE: Series & Plotting
-
Урок 44.
00:08:50
SOLUTION: Series & Plotting
-
Урок 45.
00:09:34
Set_Index Basics
-
Урок 46.
00:05:07
set_index: The World Happiness Index Dataset
-
Урок 47.
00:02:40
setting index with read_csv
-
Урок 48.
00:03:55
sort_values intro
-
Урок 49.
00:03:06
sorting by multiple columns
-
Урок 50.
00:03:38
sorting text columns
-
Урок 51.
00:02:22
sort_index
-
Урок 52.
00:05:02
Sorting and Plotting!
-
Урок 53.
00:07:51
loc
-
Урок 54.
00:04:19
iloc
-
Урок 55.
00:05:52
loc & iloc with Series
-
Урок 56.
00:04:22
EXERCISE: Indexes & Sorting
-
Урок 57.
00:09:56
SOLUTION: Indexes & Sorting
-
Урок 58.
00:08:49
Filtering DataFrames With A Boolean Series
-
Урок 59.
00:08:16
Filtering With Comparison Operators
-
Урок 60.
00:03:06
The Between Method
-
Урок 61.
00:04:08
The isin() Method
-
Урок 62.
00:11:53
Combining Conditions Using AND (&)
-
Урок 63.
00:11:09
Combining Conditions Using OR (|)
-
Урок 64.
00:06:57
Bitwise Negation
-
Урок 65.
00:03:37
isna() and notna() Methods
-
Урок 66.
00:06:02
Filtering + Plotting Examples
-
Урок 67.
00:01:45
EXERCISE: Filtering
-
Урок 68.
00:10:38
SOLUTION: Filtering Exercise
-
Урок 69.
00:06:03
Dropping Columns
-
Урок 70.
00:06:26
Dropping Rows
-
Урок 71.
00:06:00
Adding Static Columns
-
Урок 72.
00:06:55
Creating New "Dynamic" Columns
-
Урок 73.
00:04:02
Finding The Highest price/sqft homes
-
Урок 74.
00:05:15
Finding Largest Bitcoin Price Changes
-
Урок 75.
00:03:19
EXERCISE: Adding/Removing Columns & Rows
-
Урок 76.
00:05:11
SOLUTION: Adding/Removing Columns & Rows
-
Урок 77.
00:04:51
Renaming Columns and Index Labels
-
Урок 78.
00:07:32
The replace() method
-
Урок 79.
00:08:00
Updating Values Using loc[]
-
Урок 80.
00:04:12
Updating Multiple Values Using loc[]
-
Урок 81.
00:07:55
Making Updates With loc[] and Boolean Masks
-
Урок 82.
00:02:21
EXERCISE: Updating Values
-
Урок 83.
00:08:22
SOLUTION: Updating Values Exercise
-
Урок 84.
00:07:15
Casting Types With astype()
-
Урок 85.
00:04:46
Introducing the Category Type
-
Урок 86.
00:04:44
Casting With pd.to_numeric()
-
Урок 87.
00:08:39
dropna() and isna()
-
Урок 88.
00:05:38
fillna()
-
Урок 89.
00:01:22
EXERCISE: Dealing With NA Values
-
Урок 90.
00:05:09
SOLUTION: Dealing With NA Values
-
Урок 91.
00:03:43
Why Dates Matter
-
Урок 92.
00:08:07
Converting With pd.to_datetime()
-
Урок 93.
00:09:06
Specifying Fancy Formats With pd.to_datetime()
-
Урок 94.
00:07:08
Dates and DataFrames
-
Урок 95.
00:08:50
The Useful dt Properties
-
Урок 96.
00:06:15
Comparing Dates
-
Урок 97.
00:08:44
Finding StarLink Flybys In UFO Dataset
-
Урок 98.
00:08:48
Date Math & TimeDeltas
-
Урок 99.
00:11:30
Billboard Charts Dataset Exploration
-
Урок 100.
00:04:52
EXERCISE: Dates & Times
-
Урок 101.
00:15:04
SOLUTION: Dates & Times
-
Урок 102.
00:04:25
Intro to Matplotlib
-
Урок 103.
00:07:05
Our First Matplotlib Plots!
-
Урок 104.
00:02:34
Do We Need plt.show() ?
-
Урок 105.
00:09:07
Anatomy of Plots
-
Урок 106.
00:04:26
Figsize & Plot Dimensions
-
Урок 107.
00:04:12
Changing Matplotlib Stylesheets
-
Урок 108.
00:07:10
Line Styles, Colors, Widths, and More!
-
Урок 109.
00:06:01
Plot Labels & Titles
-
Урок 110.
00:07:07
Changing X & Y Ticks
-
Урок 111.
00:05:11
Adding Legends To Plots
-
Урок 112.
00:04:46
EXERCISE: Matplotlib Challenge #1
-
Урок 113.
00:09:40
Creating Bar Plots
-
Урок 114.
00:10:29
Creating Histograms
-
Урок 115.
00:04:07
EXERCISE: Matplotlib Challenge #2
-
Урок 116.
00:04:42
Creating Scatter Plots
-
Урок 117.
00:05:43
Creating Pie Charts
-
Урок 118.
00:04:28
EXERCISE: Matplotlib Challenge #3
-
Урок 119.
00:10:54
Working With Subplots
-
Урок 120.
00:05:55
Putting It All Together
-
Урок 121.
00:09:37
EXERCISE: Matplotlib Challenge #4
-
Урок 122.
00:05:14
A Pandas Plotting Recap
-
Урок 123.
00:02:30
Changing Pandas Plot Styles
-
Урок 124.
00:07:47
Adding Labels and Titles to Pandas Plots
-
Урок 125.
00:03:12
Using rename() When Plotting
-
Урок 126.
00:07:30
Closer Look at Pandas Bar Plots
-
Урок 127.
00:08:02
EXERCISE: Pandas Plotting Challenge #1
-
Урок 128.
00:03:12
Pandas Histograms
-
Урок 129.
00:05:09
Box Plots
-
Урок 130.
00:05:35
Pandas Line Plots
-
Урок 131.
00:04:06
EXERCISE: Pandas Plotting Challenge #2
-
Урок 132.
00:03:00
Pandas Scatter Plots
-
Урок 133.
00:05:12
Multiple Plots On The Same Axes
-
Урок 134.
00:07:14
UFOS Plotting Challenge!
-
Урок 135.
00:03:57
EXERCISE: Pandas Plotting Challenge #3
-
Урок 136.
00:07:40
Pandas Automatic Subplots
-
Урок 137.
00:06:27
Manual Subplots With Pandas
-
Урок 138.
00:11:23
EXERCISE: Pandas Plotting Challenge #4
-
Урок 139.
00:10:35
EXERCISE: Pandas Plotting Challenge #5
-
Урок 140.
00:02:38
Exporting Figures With savefig()
-
Урок 141.
00:05:42
Introducing Groupby
-
Урок 142.
00:09:42
Exploring Groups
-
Урок 143.
00:09:36
Split-Apply-Combine
-
Урок 144.
00:07:42
Using The Agg Method
-
Урок 145.
00:05:29
Agg with Custom Functions
-
Урок 146.
00:04:26
Named Aggregation
-
Урок 147.
00:07:13
Groupby With Multiple Columns
-
Урок 148.
00:06:03
Creating a MultiIndex With set_index
-
Урок 149.
00:08:29
Sorting A MultiIndex
-
Урок 150.
00:10:13
Using .loc[] With A MultiIndex
-
Урок 151.
00:02:31
Cross Sections With The XS Method
-
Урок 152.
00:08:11
get_level_values()
-
Урок 153.
00:05:07
Hierarchical Columns
-
Урок 154.
00:03:49
Stack() and Unstack()
-
Урок 155.
00:07:59
Plotting With Unstack()
-
Урок 156.
00:05:08
Grouping By Index
-
Урок 157.
00:07:04
The String Datatype Vs. Object Datatype
-
Урок 158.
00:04:10
Upper(), Lower(), and Capitalize()
-
Урок 159.
00:05:54
Indexing String Series With []
-
Урок 160.
00:03:59
Stripping Whitespace With Strip()
-
Урок 161.
00:06:58
Splitting Text Values With Split()
-
Урок 162.
00:07:01
Replacing Portions of Strings With Replace()
-
Урок 163.
00:04:01
Testing Strings With Contains()
-
Урок 164.
00:07:56
Applying Functions To Series
-
Урок 165.
00:04:53
Apply() With Lambdas & Arguments
-
Урок 166.
00:04:13
Apply() w/ DataFrames: Columns
-
Урок 167.
00:06:47
Apply() w/ DataFrames: Rows
-
Урок 168.
00:02:57
The Series Map() Method
-
Урок 169.
00:03:52
The ApplyMap() Method
-
Урок 170.
00:05:20
Concatenating Series
-
Урок 171.
00:04:10
Concatenating Series By Index
-
Урок 172.
00:03:46
Inner vs. Outer Joins
-
Урок 173.
00:04:48
Concatenating DataFrames By Columns
-
Урок 174.
00:03:04
Concatenating DataFrames By Index
-
Урок 175.
00:04:35
The DataFrame Merge() Method
-
Урок 176.
00:06:12
Merge() w/ Left, Right, Inner, & Outer Joins
-
Урок 177.
00:09:42
Merge() On and Suffixes Arguments
-
Урок 178.
00:08:15
Intro to Seaborn
-
Урок 179.
00:04:19
The Helpful load_dataset() method
-
Урок 180.
00:10:18
Seaborn Scatterplots
-
Урок 181.
00:12:27
Seaborn Lineplots
-
Урок 182.
00:09:19
The relplot() Method
-
Урок 183.
00:07:05
Resizing Seaborn Plots: Aspect & Height
-
Урок 184.
00:06:19
Seaborn Histograms
-
Урок 185.
00:02:45
KDE Plots
-
Урок 186.
00:05:44
Bivariate Distribution Plots
-
Урок 187.
00:05:56
Rugplots
-
Урок 188.
00:06:59
The Amazing displot() Method
-
Урок 189.
00:04:01
Countplot
-
Урок 190.
00:09:17
Strip & Swarm Plots
-
Урок 191.
00:09:30
Boxplots
-
Урок 192.
00:02:24
Boxenplots
-
Урок 193.
00:04:48
Violinplots
-
Урок 194.
00:08:56
Barplots
-
Урок 195.
00:08:30
The Big Boy Catplot Method
-
Урок 196.
00:04:29
Changing Seaborn Themes
-
Урок 197.
00:05:45
Customizing Styles with set_style()
-
Урок 198.
00:02:53
Altering Spines With despine()
-
Урок 199.
00:09:15
Changing Color Palettes