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.

This full course video includes 6 lectures (all in this video):
• Introduction to Programming with Python
• Next Steps with Python
• Numerical Computing with Numpy
• Analyzing Tabular Data with Pandas
• Visualization with Matplotlib and Seaborn
• Exploratory Data Analysis - A Case Study

💻 Code References
• First steps with Python: https://jovian.ai/aakashns/first-steps-with-python
• Variables and data types: https://jovian.ai/aakashns/python-variables-and-data-types
• Conditional statements and loops: https://jovian.ai/aakashns/python-branching-and-loops
• Functions and scope: https://jovian.ai/aakashns/python-functions-and-scope
• Working with OS & files: https://jovian.ai/aakashns/python-os-and-filesystem
• Numerical computing with Numpy: https://jovian.ai/aakashns/python-numerical-computing-with-numpy
• 100 Numpy exercises: https://jovian.ai/aakashns/100-numpy-exercises
• Analyzing tabular data with Pandas: https://jovian.ai/aakashns/python-pandas-data-analysis
• Matplotlib & Seaborn tutorial: https://jovian.ai/aakashns/python-matplotlib-data-visualization
• Data visualization cheat sheet: https://jovian.ai/aakashns/dataviz-cheatsheet
• EDA on StackOverflow Developer Survey: https://jovian.ai/aakashns/python-eda-stackoverflow-survey
• Opendatasets python package: https://github.com/JovianML/opendatasets
• EDA starter notebook: https://jovian.ai/aakashns/zerotopandas-course-project-starter

⭐️ 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
• 0:26:38 Variables and Datatypes in Python
• 0:31:28 Built-in Data types in Python

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