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11:03:21

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  • 1 - Welcome Challenge.html
  • 2 - Installing Python Windows MAC.mp4
    08:55
  • 3 - Get the Datasets here.html
  • 4 - Extra Resources.html
  • 5 - Types of variables.mp4
    08:45
  • 6 - Using Variables.mp4
    08:58
  • 7 - Boolean Variables and Operators.mp4
    06:03
  • 8 - The While Loop.mp4
    09:56
  • 9 - The For Loop.mp4
    07:57
  • 10 - The If statement.mp4
    12:30
  • 11 - Code indentation in Python.mp4
    02:40
  • 12 - Section recap.mp4
    03:08
  • 13 - HOMEWORK Law of Large Numbers.mp4
    12:52
  • 14 - What is a List.mp4
    03:15
  • 15 - Lets create some lists.mp4
    08:43
  • 16 - Using the brackets.mp4
    06:29
  • 17 - Slicing.mp4
    09:27
  • 18 - Tuples in Python.mp4
    06:17
  • 19 - Functions in Python.mp4
    05:37
  • 20 - Packages in Python.mp4
    13:39
  • 21 - Numpy and Arrays in Python.mp4
    07:08
  • 22 - Slicing Arrays.mp4
    04:32
  • 23 - Section Recap.mp4
    03:06
  • 24 - HOMEWORK Financial Statement Analysis.mp4
    10:11
  • 25 - Project Brief Basketball Trends.mp4
    08:16
  • 26 - Matrices.mp4
    03:31
  • 27 - Building Your First Matrix.mp4
    16:50
  • 28 - Dictionaries in Python.mp4
    14:20
  • 29 - Matrix Operations.mp4
    08:34
  • 30 - Your first visualization.mp4
    11:04
  • 31 - Expanded Visualization.mp4
    09:37
  • 32 - Creating Your First Function.mp4
    11:09
  • 33 - Advanced Function Design.mp4
    11:15
  • 34 - Basketball Insights.mp4
    11:17
  • 35 - Section Recap.mp4
    04:07
  • 36 - HOMEWORK Basketball free throws.mp4
    08:43
  • 37 - Importing data into Python.mp4
    08:25
  • 38 - Exploring your dataset.mp4
    10:51
  • 39 - Renaming Columns of a Dataframe.mp4
    02:56
  • 40 - Subsetting dataframes in Pandas.mp4
    16:31
  • 41 - Basic operations with a Data Frame.mp4
    09:49
  • 42 - Filtering a Data Frame.mp4
    18:52
  • 43 - Using at and iat advanced tutorial.mp4
    09:01
  • 44 - Introduction to Seaborn.mp4
    10:47
  • 45 - Visualizing With Seaborn Part 1.mp4
    10:05
  • 46 - Keyword Arguments in Python advanced tutorial.mp4
    10:42
  • 47 - Section Recap.mp4
    04:31
  • 48 - HOMEWORK World Trends.mp4
    06:57
  • 49 - What is a Category data type.mp4
    10:29
  • 50 - Working with JointPlots.mp4
    07:38
  • 51 - Histograms.mp4
    07:52
  • 52 - Stacked histograms in Python.mp4
    18:29
  • 53 - Creating a KDE Plot.mp4
    07:59
  • 54 - Working with Subplots.mp4
    14:05
  • 55 - Violinplots vs Boxplots.mp4
    08:55
  • 56 - Creating a Facet Grid.mp4
    12:28
  • 57 - Coordinates and Diagonals.mp4
    07:55
  • 58 - EXTRA Building Dashboards in Python.mp4
    16:31
  • 59 - EXTRA Styling Tips.mp4
    15:46
  • 60 - EXTRA Finishing Touches.mp4
    14:48
  • 61 - Section Recap.mp4
    05:37
  • 62 - HOMEWORK Movie Domestic Gross.mp4
    07:57
  • 63 - Homework Solution Section 2 Law Of Large Numbers.mp4
    08:57
  • 64 - Homework Solution Section 3 Financial Statement Analysis Part 1.mp4
    10:30
  • 65 - Homework Solution Section 3 Financial Statement Analysis Part 2.mp4
    13:39
  • 66 - Homework Solution Section 4 Basketball Free Throws.mp4
    17:23
  • 67 - Homework Solution Section 5 World Trends Part 1.mp4
    15:45
  • 68 - Homework Solution Section 5 World Trends Part 2.mp4
    14:35
  • 69 - Homework Solution Section 6 Movie Domestic Gross Part 1.mp4
    16:46
  • 70 - Homework Solution Section 6 Movie Domestic Gross Part 2.mp4
    08:19
  • 71 - THANK YOU Video.mp4
    02:40
  • 72 - Huge Congrats for completing the challenge.html
  • 73 - BONUS Cloud Skills for ML AI COUPON inside.html
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    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 68
    • duration 11:03:21
    • English subtitles has
    • Release Date 2024/04/23