Udemy - Python A-Z™: Python For Data Science With Real Exercises!

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Udemy - Python A-Z™: Python For Data Science With Real Exercises! (Size: 2.3 GB)
  001 Installing Python (Windows MAC).en.srt 14.2 KB
  001 Installing Python (Windows MAC).mp4 24.8 MB
  001 Installing Python (Windows MAC).pt.srt 14.6 KB
  002 BONUS Learning Paths.html 3.2 KB
  003 Some Additional Resources.html 1.4 KB
  004 FAQBot.html 2.6 KB
  005 Updates on Udemy Reviews.en.srt 3.3 KB
  005 Updates on Udemy Reviews.mp4 43.4 MB
  005 Updates on Udemy Reviews.pt.srt 3.5 KB
  006 Types of variables.en.srt 14.6 KB
  006 Types of variables.mp4 21.1 MB
  006 Types of variables.pt.srt 15 KB
  007 Using Variables.en.srt 13.8 KB
  007 Using Variables.mp4 23 MB
  007 Using Variables.pt.srt 14.5 KB
  008 Boolean Variables and Operators.en.srt 9 KB
  008 Boolean Variables and Operators.mp4 13.4 MB
  008 Boolean Variables and Operators.pt.srt 9.5 KB
  009 The While Loop.en.srt 16.6 KB
  009 The While Loop.mp4 19.2 MB
  010 The For Loop.en.srt 11.9 KB
  010 The For Loop.mp4 20.6 MB
  010 The For Loop.pt.srt 12.4 KB
  011 The If statement.en.srt 20.2 KB
  011 The If statement.mp4 28.5 MB
  011 The If statement.pt.srt 20.6 KB
  012 Code indentation in Python.en.srt 3.9 KB
  012 Code indentation in Python.mp4 7 MB
  012 Code indentation in Python.pt.srt 4 KB
  013 Section recap.en.srt 4.4 KB
  013 Section recap.mp4 5.5 MB
  013 Section recap.pt.srt 4.5 KB
  014 HOMEWORK Law of Large Numbers.en.srt 20.7 KB
  014 HOMEWORK Law of Large Numbers.mp4 24 MB
  015 What is a List.en.srt 4.8 KB
  015 What is a List.mp4 5.3 MB
  015 What is a List.pt.srt 4.9 KB
  016 Lets create some lists.en.srt 12.9 KB
  016 Lets create some lists.mp4 21.6 MB
  016 Lets create some lists.pt.srt 13.5 KB
  017 Using the [] brackets.en.srt 10.2 KB
  017 Using the [] brackets.mp4 14 MB
  017 Using the [] brackets.pt.srt 10.5 KB
  018 Slicing.en.srt 14.8 KB
  018 Slicing.mp4 19.3 MB
  018 Slicing.pt.srt 15 KB
  019 Tuples in Python.en.srt 10.3 KB
  019 Tuples in Python.mp4 16.8 MB
  019 Tuples in Python.pt.srt 10.6 KB
  020 Functions in Python.en.srt 8.7 KB
  020 Functions in Python.mp4 12.9 MB
  020 Functions in Python.pt.srt 9.1 KB
  021 Packages in Python.en.srt 21.7 KB
  021 Packages in Python.mp4 39.7 MB
  021 Packages in Python.pt.srt 22.8 KB
  022 Numpy and Arrays in Python.en.srt 11.6 KB
  022 Numpy and Arrays in Python.mp4 16.5 MB
  022 Numpy and Arrays in Python.pt.srt 12 KB
  023 Slicing Arrays.en.srt 6.9 KB
  023 Slicing Arrays.mp4 12.6 MB
  023 Slicing Arrays.pt.srt 7.2 KB
  024 Section Recap.en.srt 4.5 KB
  024 Section Recap.mp4 5.8 MB
  024 Section Recap.pt.srt 4.5 KB
  025 HOMEWORK Financial Statement Analysis.en.srt 9.5 KB
  025 HOMEWORK Financial Statement Analysis.mp4 22.4 MB
  025 HOMEWORK Financial Statement Analysis.pt.srt 9.9 KB
  026 Project Brief Basketball Trends.en.srt 12.5 KB
  026 Project Brief Basketball Trends.mp4 39.6 MB
  026 Project Brief Basketball Trends.pt.srt 12.8 KB
  027 Matrices.en.srt 5.3 KB
  027 Matrices.mp4 6.9 MB
  027 Matrices.pt.srt 5.3 KB
  028 Building Your First Matrix.en.srt 26.8 KB
  028 Building Your First Matrix.mp4 71.2 MB
  028 Building Your First Matrix.pt.srt 28 KB
  029 Dictionaries in Python.en.srt 23.3 KB
  029 Dictionaries in Python.mp4 70.1 MB
  029 Dictionaries in Python.pt.srt 23.9 KB
  030 Matrix Operations.en.srt 13.5 KB
  030 Matrix Operations.mp4 37.2 MB
  030 Matrix Operations.pt.srt 14.1 KB
  031 Your first visualization.en.srt 17.2 KB
  031 Your first visualization.mp4 37.3 MB
  031 Your first visualization.pt.srt 18.1 KB
  032 Expanded Visualization.en.srt 15.9 KB
  032 Expanded Visualization.mp4 40.7 MB
  032 Expanded Visualization.pt.srt 16.6 KB
  033 Creating Your First Function.en.srt 17.2 KB
  033 Creating Your First Function.mp4 48.5 MB
  033 Creating Your First Function.pt.srt 17.6 KB
  034 Advanced Function Design.en.srt 16.7 KB
  034 Advanced Function Design.mp4 56.7 MB
  034 Advanced Function Design.pt.srt 17.4 KB
  035 Basketball Insights.en.srt 17.8 KB
  035 Basketball Insights.mp4 41.5 MB
  035 Basketball Insights.pt.srt 18.1 KB
  036 Section Recap.en.srt 5.9 KB
  036 Section Recap.mp4 7.7 MB
  036 Section Recap.pt.srt 6.3 KB
  037 HOMEWORK Basketball free throws.en.srt 8 KB
  037 HOMEWORK Basketball free throws.mp4 26.2 MB
  037 HOMEWORK Basketball free throws.pt.srt 8.5 KB
  038 Importing data into Python.en.srt 12.4 KB
  038 Importing data into Python.mp4 30 MB
  038 Importing data into Python.pt.srt 13.2 KB
  039 Exploring your dataset.en.srt 16.7 KB
  039 Exploring your dataset.mp4 40 MB
  039 Exploring your dataset.pt.srt 17.4 KB
  040 Renaming Columns of a Dataframe.en.srt 4.4 KB
  040 Renaming Columns of a Dataframe.mp4 8 MB
  040 Renaming Columns of a Dataframe.pt.srt 4.5 KB
  041 Subsetting dataframes in Pandas.en.srt 27.3 KB
  041 Subsetting dataframes in Pandas.mp4 72.2 MB
  041 Subsetting dataframes in Pandas.pt.srt 28.4 KB
  042 Basic operations with a Data Frame.en.srt 14.7 KB
  042 Basic operations with a Data Frame.mp4 42.4 MB
  042 Basic operations with a Data Frame.pt.srt 15.5 KB
  043 Filtering a Data Frame.en.srt 30.3 KB
  043 Filtering a Data Frame.mp4 88.1 MB
  043 Filtering a Data Frame.pt.srt 31.6 KB
  044 Using .at() and .iat() (advanced tutorial).en.srt 13.8 KB
  044 Using .at() and .iat() (advanced tutorial).mp4 43.9 MB
  044 Using .at() and .iat() (advanced tutorial).pt.srt 14.3 KB
  045 Introduction to Seaborn.en.srt 16.1 KB
  045 Introduction to Seaborn.mp4 46.9 MB
  045 Introduction to Seaborn.pt.srt 16.6 KB
  046 Visualizing With Seaborn Part 1.en.srt 15.4 KB
  046 Visualizing With Seaborn Part 1.mp4 40.9 MB
  047 Keyword Arguments in Python (advanced tutorial).en.srt 15.4 KB
  047 Keyword Arguments in Python (advanced tutorial).mp4 56.8 MB
  047 Keyword Arguments in Python (advanced tutorial).pt.srt 16 KB
  048 Section Recap.en.srt 6.3 KB
  048 Section Recap.mp4 8.5 MB
  048 Section Recap.pt.srt 6.7 KB
  049 HOMEWORK World Trends.en.srt 6.3 KB
  049 HOMEWORK World Trends.mp4 20.9 MB
  049 HOMEWORK World Trends.pt.srt 6.9 KB
  050 What is a Category data type.en.srt 15.2 KB
  050 What is a Category data type.mp4 35.6 MB
  050 What is a Category data type.pt.srt 15.9 KB
  051 Working with JointPlots.en.srt 11 KB
  051 Working with JointPlots.mp4 22.3 MB
  052 Histograms.en.srt 10.6 KB
  052 Histograms.mp4 23.6 MB
  053 Stacked histograms in Python.en.srt 27.4 KB
  053 Stacked histograms in Python.mp4 57.5 MB
  053 Stacked histograms in Python.pt.srt 28.5 KB
  054 Creating a KDE Plot.en.srt 11.6 KB
  054 Creating a KDE Plot.mp4 30.6 MB
  054 Creating a KDE Plot.pt.srt 12.1 KB
  055 Working with Subplots().en.srt 20 KB
  055 Working with Subplots().mp4 49.8 MB
  055 Working with Subplots().pt.srt 20.6 KB
  056 Violinplots vs Boxplots.en.srt 12.6 KB
  056 Violinplots vs Boxplots.mp4 26.6 MB
  056 Violinplots vs Boxplots.pt.srt 13.3 KB
  057 Creating a Facet Grid.en.srt 18.3 KB
  057 Creating a Facet Grid.mp4 51.8 MB
  057 Creating a Facet Grid.pt.srt 18.8 KB
  058 Coordinates and Diagonals.en.srt 10.9 KB
  058 Coordinates and Diagonals.mp4 40.3 MB
  058 Coordinates and Diagonals.pt.srt 11.4 KB
  059 BONUS Building Dashboards in Python.en.srt 24.7 KB
  059 BONUS Building Dashboards in Python.mp4 106 MB
  059 BONUS Building Dashboards in Python.pt.srt 25.7 KB
  060 BONUS Styling Tips.en.srt 24.4 KB
  060 BONUS Styling Tips.mp4 90.7 MB
  060 BONUS Styling Tips.pt.srt 25.4 KB
  061 BONUS Finishing Touches.en.srt 22 KB
  061 BONUS Finishing Touches.mp4 65.8 MB
  062 Section Recap.en.srt 7.9 KB
  062 Section Recap.mp4 10.4 MB
  062 Section Recap.pt.srt 8 KB
  063 HOMEWORK Movie Domestic Gross.en.srt 7.2 KB
  063 HOMEWORK Movie Domestic Gross.mp4 27.5 MB
  063 HOMEWORK Movie Domestic Gross.pt.srt 7.6 KB
  064 Homework Solution Section 2 Law Of Large Numbers.en.srt 14 KB
  064 Homework Solution Section 2 Law Of Large Numbers.mp4 21.3 MB
  064 Homework Solution Section 2 Law Of Large Numbers.pt.srt 14.8 KB
  065 Homework Solution Section 3 Financial Statement Analysis (Part 1).en.srt 7.4 KB
  065 Homework Solution Section 3 Financial Statement Analysis (Part 1).mp4 21.7 MB
  065 Homework Solution Section 3 Financial Statement Analysis (Part 1).pt.srt 7.9 KB
  066 Homework Solution Section 3 Financial Statement Analysis (Part 2).en.srt 9.1 KB
  066 Homework Solution Section 3 Financial Statement Analysis (Part 2).mp4 27.3 MB
  066 Homework Solution Section 3 Financial Statement Analysis (Part 2).pt.srt 9.4 KB
  067 Homework Solution Section 4 Basketball Free Throws.en.srt 15.3 KB
  067 Homework Solution Section 4 Basketball Free Throws.mp4 51.5 MB
  067 Homework Solution Section 4 Basketball Free Throws.pt.srt 16 KB
  068 Homework Solution Section 5 World Trends (Part 1).en.srt 11.9 KB
  068 Homework Solution Section 5 World Trends (Part 1).mp4 35 MB
  068 Homework Solution Section 5 World Trends (Part 1).pt.srt 12.7 KB
  069 Homework Solution Section 5 World Trends (Part 2).en.srt 10.7 KB
  069 Homework Solution Section 5 World Trends (Part 2).mp4 30.3 MB
  069 Homework Solution Section 5 World Trends (Part 2).pt.srt 11.4 KB
  070 Homework Solution Section 6 Movie Domestic Gross (Part 1).en.srt 13 KB
  070 Homework Solution Section 6 Movie Domestic Gross (Part 1).mp4 39.3 MB
  070 Homework Solution Section 6 Movie Domestic Gross (Part 1).pt.srt 13.7 KB
  071 Homework Solution Section 6 Movie Domestic Gross (Part 2).en.srt 4.2 KB
  071 Homework Solution Section 6 Movie Domestic Gross (Part 2).mp4 19.4 MB
  071 Homework Solution Section 6 Movie Domestic Gross (Part 2).pt.srt 4.5 KB
  072 THANK YOU bonus video.en.srt 2.3 KB
  072 THANK YOU bonus video.mp4 52.2 MB
  072 THANK YOU bonus video.pt.srt 2.3 KB
  073 YOUR SPECIAL BONUS.html 4.1 KB
  [FreeCourseWorld.Com].url 102.4 B
  ▲ 206 total files

Description


Python A-Z™: Python For Data Science With Real Exercises!

Learn Python Programming by doing!

There are lots of Python courses and lectures out there. However, Python has a very steep learning curve and students often get overwhelmed. This course is different!

This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward.

After every video you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples.

This training is packed with real-life analytical challenges which you will learn to solve. Some of these we will solve together, some you will have as homework exercises.

In summary, this course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course!

Created by Kirill Eremenko, SuperDataScience Team
Last updated 3/2020
English
English, Portuguese [Auto-generated]

For More Courses Visit: https://freecourseworld.com

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