Data Analysis with Python Course Numpy Pandas Data Visualization

>> YOUR LINK HERE: ___ http://youtube.com/watch?v=GPVsHOlRBBI

Learn the basics of Python, Numpy, Pandas, Data Visualization, and Exploratory Data Analysis in this course for beginners. This was originally presented as a live course. • By the end of the course, you will be able to build an end-to-end real-world course project and earn a verified certificate of accomplishment. There are no prerequisites for this course. • Learn more and register for a certificate of accomplishment here: http://zerotopandas.com • ‼️ Some of the data files used in this course are now in a new location. Some of the data you can find in this repo: https://github.com/the-stranger-web/j... • 💻 Code References • • First steps with Python: https://jovian.ai/aakashns/first-step... • • Variables and data types: https://jovian.ai/aakashns/python-var... • • Conditional statements and loops: https://jovian.ai/aakashns/python-bra... • • Functions and scope: https://jovian.ai/aakashns/python-fun... • • Working with OS files: https://jovian.ai/aakashns/python-os-... • • Numerical computing with Numpy: https://jovian.ai/aakashns/python-num... • • 100 Numpy exercises: https://jovian.ai/aakashns/100-numpy-... • • Analyzing tabular data with Pandas: https://jovian.ai/aakashns/python-pan... • • Matplotlib Seaborn tutorial: https://jovian.ai/aakashns/python-mat... • • Data visualization cheat sheet: https://jovian.ai/aakashns/dataviz-ch... • • EDA on StackOverflow Developer Survey: https://jovian.ai/aakashns/python-eda... • • Opendatasets python package: https://github.com/JovianML/opendatasets • • EDA starter notebook: https://jovian.ai/aakashns/zerotopand... • ⭐️ Course Contents ⭐️ • 0:00:00 Course Introduction • Lecture 1 • 0:01:42 Python Programming Fundamentals • 0:02:40 Course Curriculum • 0:05:24 Notebook - First Steps with Python and Jupyter • 0:08:30 Performing Arithmetic Operations with Python • 0:11:34 Solving Multi-step problems using variables • 0:20:17 Combining conditions with Logical operators • 0:22:22 Adding text using Markdown • 0:23:50 Saving and Uploading to Jovian • 0:26:38 Variables and Datatypes in Python • 0:31:28 Built-in Data types in Python • 1:07:19 Further Reading • Lecture 2 • 1:08:46 Branching Loops and Functions • 1:09:02 Notebook - Branching using conditional statements and loops in Python • 1:09:24 Branching with if, else, elif • 1:15:25 Non Boolean conditions • 1:19:00 Iteration with while loops • 1:28:57 Iteration with for loops • 1:36:27 Functions and scope in Python • 1:36:53 Creating and using functions • 1:42:24 Writing great functions in Python • 1:45:38 Local variables and scope • 2:08:19 Documentation functions using Docstrings • 2:11:40 Exercise - Data Analysis for Vacation Planning • Lecture 3 • 2:17:17 Numercial Computing with Numpy • 2:18:00 Notebook - Numerical Computing with Numpy • 2:26:09 From Python Lists to Numpy Arrays • 2:29:09 Operating on Numpy Arrays • 2:34:33 Multidimensional Numpy Arrays • 3:03:41 Array Indexing and Slicing • 3:17:49 Exercises and Further Reading • 3:20:50 Assignment 2 - Numpy Array Operations • 3:29:16 100 Numpy Exercises • 3:31:25 Reading from and Writing to Files using Python • Lecture 4 • 4:02:59 Analysing Tabular Data with Pandas • 4:03:58 Notebook - Analyzing Tabular Data with Pandas • 4:16:33 Retrieving Data from a Data Frame • 4:32:00 Analyzing Data from Data Frames • 4:36:27 Querying and Sorting Rows • 5:01:45 Grouping and Aggregation • 5:11:26 Merging Data from Multiple Sources • 5:26:00 Basic Plotting with Pandas • 5:38:27 Assignment 3 - Pandas Practice • Lecture 5 • 5:52:48 Visualization with Matplotlib and Seaborn • 5:54:04 Notebook - Data Visualization with Matplotlib and Seaborn • 6:06:43 Line Charts • 6:11:27 Improving Default Styles with Seaborn • 6:16:51 Scatter Plots • 6:28:14 Histogram • 6:38:47 Bar Chart • 6:50:00 Heatmap • 6:57:08 Displaying Images with Matplotlib • 7:03:37 Plotting multiple charts in a grid • 7:15:42 References and further reading • 7:20:17 Course Project - Exploratory Data Analysis • Lecture 6 • 7:49:56 Exploratory Data Analysis - A Case Study • 7:50:55 Notebook - Exploratory Data Analysis - A case Study • 8:04:36 Data Preparation and Cleaning • 8:19:37 Exploratory Analysis and Visualization • 8:54:02 Asking and Answering Questions • 9:22:57 Inferences and Conclusions • 9:25:00 References and Future Work • 9:29:41 Setting up and running Locally • 9:34:21 Project Guidelines • 9:45:00 Course Recap • 9:48:01 What to do next? • 9:49:10 Certificate of Accomplishment • 9:50:11 What to do after this course? • 9:52:16 Jovian Platform • Correction: • 3:11:27 The URL for the CSV file is changed. Instead, use https://raw.githubusercontent.com/the... • ✏️ This course is taught by Aakash N S, co-founder, and CEO of Jovian. • Jovian's YouTube channel: / jovianml

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