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Introduction to Data Science with Python
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Delve into foundational Python programming, explore libraries like pandas and Matplotlib, and gain insights into data management, analysis, and visualization with practical projects.

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Python is one of the most popular programming languages for data science and analytics. It’s used across a wide range of industries. It’s easy to learn, highly flexible, and its various libraries can expand functionality to natively perform statistical functions and plotting. This course is a comprehensive introduction to statistical analysis using Python. You’ll start with a step-by-step guide to the fundamentals of programming in Python. You’ll learn to apply these functions to numerical data. You’ll first look at strings, lists, dictionaries, loops, functions, and data maps. After mastering these, you’ll take a deep dive through various Python libraries, including pandas, NumPy, Matplotlib, Seaborn, and Plotly. You’ll wrap up with guided projects to clean, analyze, and visualize unique datasets using these libraries. By the end of this course, you will be proficient in data science, including data management, analysis, and visualization.

Python is one of the most popular programming languages for data science and analytics. It’s used across a wide range of industr...Show More

WHAT YOU'LL LEARN

A deep familiarity with various data functions of Python

The ability to visualize statistical data using Matplotlib and Plotly libraries

A working knowledge of the pandas and NumPy libraries for data cleaning and analysis

A strong proficiency in the basics of data science and the Python programming language

A deep familiarity with various data functions of Python

Content

85 Lessons7 Quizzes11 Challenges

Introduction

1 Lessons

Get familiar with essential data science skills using Python for business intelligence.

About the Course

Python Essentials

14 Lessons

Get started with essential Python data types, operators, looping, functions, and challenges.

Tuples, Sets and Booleans

Comparisons

Loops

Functions

Lambda Expression, Map and Filter

Challenge 1: Python Essentials

Solution: Python Essentials

Challenge 2: Python Essentials

Solution 2: Python Essentials

Quiz: Python’s Essentials

NumPy: Data Analysis

10 Lessons

Work your way through NumPy essentials, manipulating arrays, and performing Boolean masking and arithmetic operations.

NumPy Arrays

Array Methods and Attributes

Arithmetic Operations

Challenge: NumPy Essentials

Solution: NumPy Essentials

Quiz: NumPy for Data Analysis

Pandas: Data Analysis

12 Lessons

Apply your skills to manipulate, clean, merge, and analyze data using pandas efficiently.

Data Structures in pandas

DataFrame

Hierarchical Indexing

Handling Missing Data

Combining and Merging Datasets

The GroupBy Method

Useful Methods and Operations

Challenge 1: Pandas Essentials

Solution 1: pandas Essentials

Challenge 2: Pandas Essentials

Solution 2: Pandas Essentials

Quiz: pandas for Data Analysis

Matplotlib: Data Visualization

11 Lessons

Deepen your knowledge of using Matplotlib for creating and customizing data visualizations.

Basic Plotting

Matplotlib Object-Oriented Approach

Figure size, aspect ratio and DPI

Plot Types and Customizations

Challenge 1: Matplotlib for Data Visualization

Solution 1: Matplotlib for Data Visualization

Challenge 2: Matplotlib for Data Visualization

Solution 2: Matplotlib for Data Visualization

Advance Plotting Options Using Matplotlib

Coloured and 3-D Graphs

Quiz: Matplotlib for Data Visualization

Seaborn: Statistical Data Visualization

14 Lessons

Focus on mastering statistical data visualization using Seaborn's diverse plotting capabilities.

Distribution Plots

Challenge 1: Distribution Plots

Solution 1: Distribution Plots

Kernel Density Estimation Plots

Categorical Plots

Categorical Scatter Plots

Categorical Distribution Plots

Categorical Estimate Plots

Combining Different Categorical Plots

Axis Grids

Matrix Plots

Regression Plots

Controlling Figure Aesthetics

Quiz: Seaborn for Statistical Data Visualization

Data Visualization with Seaborn for Walmart Sales Projection

Project

Pandas: Data Visualization

5 Lessons

Practice using Pandas' robust data visualization tools to create professional, customized plots.

Histograms and Style Sheet

Plot Types

Challenge: Data Visualization in pandas

Solution: Data Visualization in pandas

Quiz: Data Visualization in pandas

Data Visualization with Seaborn for Walmart Sales Projection

Project

Plotly: Interactive Data Visualization

3 Lessons

Try out Plotly for creating interactive visualizations and geographical plotting using maps.

Basic and Common Plots

Geographical Plotting

Quiz: Plotly for Interactive Data Visualization

Project 1: Oil vs Banks During Recession

7 Lessons

Get started with analyzing bank and oil stocks using EDA, visualizations, and moving averages.

Project Introduction

Practice: Oil vs Banks During Recession

Solution: Oil vs Banks During Recession

Practice: Plotting the Data

Solution: Plotting the Data

Practice: Plotting the Moving Averages

Solution: Plotting the Moving Averages

10.

Project 2: Emergency Calls Dataset

7 Lessons

Work your way through emergency call data analysis with advanced visualization techniques.

Project Introduction

Practice: Emergency Calls Dataset

Solution: Emergency Calls Dataset

Practice: Plotting the Data

Solution: Plotting the Data

Practice: Plotting the Grouped Data

Solution: Plotting the Grouped Data

11.

In Closing

1 Lessons

Grasp the fundamentals of data visualization, plot management, and combining datasets effectively.

Conclusion

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Course Author:

Dr. Junaid Qazi

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Introduction to Data Science with Python Save

Introduction to Data Science with Python
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