Download Udemy - Python for Time Series Data Analysis torrent

Udemy - Python for Time Series Data Analysis

Torrent:	Udemy - Python for Time Series Data Analysis
Description:	Udemy - Python for Time Series Data Analysis Description Student Testimonials: The instructor knows the material, and has detailed explanation on every topic he discusses. Has clarity too, and warns students of potential pitfalls. He has a very logical explanation, and it is easy to follow him. I highly recommend this class, and would look into taking a new class from him. - Diana This is excellent, and I cannot complement the instructor enough. Extremely clear, relevant, and high quality - with helpful practical tips and advice. Would recommend this to anyone wanting to learn pandas. Lessons are well constructed. I'm actually surprised at how well done this is. I don't give many 5 stars, but this has earned it so far. - Michael This course is very thorough, clear, and well thought out. This is the best Udemy course I have taken thus far. (This is my third course.) The instruction is excellent! - James Welcome to the most comprehensive Pandas course available on Udemy! An excellent choice for both beginners and experts looking to expand their knowledge on one of the most popular Python libraries in the world! Data Analysis with Pandas and Python offers 19+ hours of in-depth video tutorials on the most powerful data analysis toolkit available today. Lessons include: installing sorting filtering grouping aggregating de-duplicating pivoting munging deleting merging visualizing and more! Why learn pandas? If you've spent time in a spreadsheet software like Microsoft Excel, Apple Numbers, or Google Sheets and are eager to take your data analysis skills to the next level, this course is for you! Data Analysis with Pandas and Python introduces you to the popular Pandas library built on top of the Python programming language. Pandas is a powerhouse tool that allows you to do anything and everything with colossal data sets -- analyzing, organizing, sorting, filtering, pivoting, aggregating, munging, cleaning, calculating, and more! I call it "Excel on steroids"! Over the course of more than 19 hours, I'll take you step-by-step through Pandas, from installation to visualization! We'll cover hundreds of different methods, attributes, features, and functionalities packed away inside this awesome library. We'll dive into tons of different datasets, short and long, broken and pristine, to demonstrate the incredible versatility and efficiency of this package. Data Analysis with Pandas and Python is bundled with dozens of datasets for you to use. Dive right in and follow along with my lessons to see how easy it is to get started with pandas! Whether you're a new data analyst or have spent years (cough too long cough) in Excel, Data Analysis with pandas and Python offers you an incredible introduction to one of the most powerful data toolkits available today! Who this course is for: Data analysts and business analysts Excel users looking to learn a more powerful software for data analysis Created by Boris Paskhaver Last updated 3/2020 English English [Auto-generated]
Downloads:	173
Category:	Other /Tutorials
Size:	1.6 GB
Show Files »	[GigaCourse.com] Udemy - Python for Time Series Data Analysis 01. Introduction 001. Course Overview - PLEASE DO NOT SKIP THIS LECTURE.mp4 (9.8 MB) 001.1 UDEMY_TSA_FINAL.zip (10.9 MB) 002. Course Overview Check.html (0.1 KB) 003. Course Curriculum Overview.mp4 (6.0 MB) 004. FAQ - Frequently Asked Questions.html (5.1 KB) 004.1 UDEMY_TSA_FINAL.zip (10.9 MB) 02. Course Set Up and Install 005. Installing Anaconda Python Distribution and Jupyter.mp4 (26.7 MB) 005.1 TSA_COURSE_NOTEBOOKS.zip (11.7 MB) 005.2 The .yml file..html (0.1 KB) 03. NumPy 006. NumPy Section Overview.mp4 (1.1 MB) 007. NumPy Arrays - Part One.mp4 (17.3 MB) 008. NumPy Arrays - Part Two.mp4 (13.5 MB) 009. NumPy Indexing and Selection.mp4 (17.2 MB) 010. NumPy Operations.mp4 (10.4 MB) 011. NumPy Exercises.mp4 (4.5 MB) 012. NumPy Exercise Solutions.mp4 (15.3 MB) 04. Pandas Overview 013. Introduction to Pandas.mp4 (1.7 MB) 014. Series.mp4 (13.9 MB) 015. DataFrames - Part One.mp4 (23.7 MB) 016. DataFrames - Part Two.mp4 (20.6 MB) 017. Missing Data with Pandas.mp4 (12.1 MB) 018. Group By Operations.mp4 (8.6 MB) 019. Common Operations.mp4 (13.9 MB) 020. Data Input and Output.mp4 (20.8 MB) 021. Pandas Exercises.mp4 (7.8 MB) 022. Pandas Exercises Solutions.mp4 (26.9 MB) 05. Data Visualization with Pandas 023. Overview of Capabilities of Data Visualization with Pandas.mp4 (2.4 MB) 024. Visualizing Data with Pandas.mp4 (32.6 MB) 025. Customizing Plots created with Pandas.mp4 (16.5 MB) 026. Pandas Data Visualization Exercise.mp4 (6.9 MB) 027. Pandas Data Visualization Exercise Solutions.mp4 (14.6 MB) 06. Time Series with Pandas 028. Overview of Time Series with Pandas.mp4 (1.8 MB) 029. DateTime Index.mp4 (14.4 MB) 030. DateTime Index Part Two.mp4 (19.9 MB) 031. Time Resampling.mp4 (22.4 MB) 032. Time Shifting.mp4 (9.2 MB) 033. Rolling and Expanding.mp4 (15.3 MB) 034. Visualizing Time Series Data.mp4 (20.6 MB) 035. Visualizing Time Series Data - Part Two.mp4 (23.4 MB) 036. Time Series Exercises - Set One.mp4 (3.6 MB) 037. Time Series Exercises - Set One - Solutions.mp4 (9.2 MB) 038. Time Series with Pandas Project Exercise - Set Two.mp4 (11.4 MB) 039. Time Series with Pandas Project Exercise - Set Two - Solutions.mp4 (27.4 MB) 07. Time Series Analysis with Statsmodels 040. Introduction to Time Series Analysis with Statsmodels.mp4 (2.0 MB) 041. Introduction to Statsmodels Library.mp4 (21.5 MB) 042. ETS Decomposition.mp4 (17.7 MB) 043. EWMA - Theory.mp4 (6.6 MB) 044. EWMA - Exponentially Weighted Moving Average.mp4 (26.2 MB) 045. Holt - Winters Methods Theory.mp4 (14.0 MB) 046. Holt - Winters Methods Code Along - Part One.mp4 (18.2 MB) 047. Holt - Winters Methods Code Along - Part Two.mp4 (26.6 MB) 048. Statsmodels Time Series Exercises.mp4 (7.0 MB) 049. Statsmodels Time Series Exercise Solutions.mp4 (12.8 MB) 08. General Forecasting Models 050. Introduction to General Forecasting Section.mp4 (5.3 MB) 051. Introduction to Forecasting Models Part One.mp4 (22.1 MB) 052. Evaluating Forecast Predictions.mp4 (12.9 MB) 053. Introduction to Forecasting Models Part Two.mp4 (20.3 MB) 054. ACF and PACF Theory.mp4 (13.8 MB) 055. ACF and PACF Code Along.mp4 (27.3 MB) 056. ARIMA Overview.mp4 (20.0 MB) 057. Autoregression - AR - Overview.mp4 (8.3 MB) 058. Autoregression - AR with Statsmodels.mp4 (41.8 MB) 059. Descriptive Statistics and Tests - Part One.mp4 (12.0 MB) 060. Descriptive Statistics and Tests - Part Two.mp4 (49.0 MB) 061. Descriptive Statistics and Tests - Part Three.mp4 (12.4 MB) 062. ARIMA Theory Overview.mp4 (8.5 MB) 063. Choosing ARIMA Orders - Part One.mp4 (9.7 MB) 064. Choosing ARIMA Orders - Part Two.mp4 (31.8 MB) 065. ARMA and ARIMA - AutoRegressive Integrated Moving Average - Part One.mp4 (21.8 MB) 066. ARMA and ARIMA - AutoRegressive Integrated Moving Average - Part Two.mp4 (64.6 MB) 067. SARIMA - Seasonal Autoregressive Integrated Moving Average.mp4 (35.0 MB) 068. SARIMAX - Seasonal Autoregressive Integrated Moving Average Exogenous - PART ONE.mp4 (10.8 MB) 069. SARIMAX - Seasonal Autoregressive Integrated Moving Average Exogenous - PART TWO.mp4 (43.0 MB) 070. SARIMAX - Seasonal Autoregressive Integrated Moving Average Exogenous - PART 3.mp4 (36.7 MB) 071. Vector AutoRegression - VAR.mp4 (8.3 MB) 072. VAR - Code Along.mp4 (31.2 MB) 073. VAR - Code Along - Part Two.mp4 (37.8 MB) 074. Vector AutoRegression Moving Average - VARMA.mp4 (4.0 MB) 075. Vector AutoRegression Moving Average - VARMA - Code Along.mp4 (29.2 MB) 076. Forecasting Exercises.mp4 (6.1 MB) 077. Forecasting Exercises - Solutions.mp4 (19.4 MB) 09. Deep Learning for Time Series Forecasting 078. Introduction to Deep Learning Section.mp4 (6.4 MB) 079. Perceptron Model.mp4 (6.8 MB) 080. Introduction to Neural Networks.mp4 (8.9 MB) 081. Keras Basics.mp4 (29.1 MB) 082. Recurrent Neural Network Overview.mp4 (10.3 MB) 083. LSTMS and GRU.mp4 (13.8 MB) 084. Keras and RNN Project - Part One.mp4 (21.1 MB) 085. Keras and RNN Project - Part Two.mp4 (20.6 MB) 086. Keras and RNN Project - Part Three.mp4 (46.7 MB) 087. Keras and RNN Exercise.mp4 (9.8 MB) 088. Keras and RNN Exercise Solutions.mp4 (26.2 MB) 10. Facebook's Prophet Library 089. Overview of Facebook's Prophet Library.mp4 (4.8 MB) 090. Facebook's Prophet Library.mp4 (34.8 MB) 091. Facebook Prophet Evaluation.mp4 (35.6 MB) 092. Facebook Prophet Trend.mp4 (7.9 MB) files
Added:	2020-04-04 14:09:54
Language:	English
Peers:	Seeders : 7 , Leechers : 2
Tags:	udemy course free python time series
Release name:	Udemy - Python for Time Series Data Analysis
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