Python for Data Science: Python Programming & Data Analysis

سرفصل های دوره

Transform data into insights using Python and its powerful Libraries such as Numpy, Pandas, MatplotLib, Seaborn etc.

1. Introduction

1. Introduction

2.1 Python training.zip

2. Course resources.html

2. Getting Started with Python

1. Introduction to Python

2. First code to Python Programming.html

3. Variables in Python Declaration and Use

4. Basic Arithmetic Operations in Python.html

5. Data types in Python

6. Python String

7. Quiz.html

8. String methods

9. Calculating Body Mass Index (BMI) in Python.html

10. Practice Assignment.html

3. Data Structures in Python

1. List in Python

2. Working with Lists in Python.html

3. Tuples in Python

4. Dictionaries in Python

5. Working with Dictionaries in Python.html

6. Sets in Python

7. Practice Assignment.html

4. Conditional Statements in Python

1. Python Conditional Expressions

2. Conditional Statements in Python.html

3. Exploring Operators and Conditional Expressions in Python

4. Practice Assignment.html

5. Loops in Python

1. For loops in Python

2. Generating Square Numbers in Python.html

3. While loops in Python

4. Practice Assignment.html

6. Python Functions

1. Function in Python

2. Checking Even Numbers Using Functions in Python.html

3. Recursion in Python

4. Lambda function

5. Lambda Functions for Exponentiation.html

6. Practice Assignment.html

7. File handling in Python

1. File IO in Python

2. Writing to a File in Python.html

3. Quiz.html

8. NumPy Library

1. Introduction to NumPy arrays

2. Accessing the elements of NumPy arrays

3. Creating and Accessing Elements in NumPy Arrays.html

4. Leveraging Data Types, Shapes, and Array Stacking in NumPy

5. Exploring Diverse Approaches to Creating NumPy Arrays

6. Creating NumPy Arrays with Evenly Spaced Numbers.html

7. Mathematical operations on arrays

8. Array Operations and Median Calculation in Python.html

9. Practice Assignment.html

9. Pandas Library

1. Introduction to Pandas Library

2. Creating DataFrame from Dictionary in Pandas.html

3. Exploring Series and DataFrame in Python

4. Essential Data Analysis Methods in Python

5. Importing Data from CSV File using Pandas.html

6. Missing Data Handling in Python

7. Manipulating DataFrame in Python

8. Practice Assignment Analyzing and Visualizing the Titanic Dataset with Pandas.html

10. Matplotlib Library

1. Introduction to Matplotlib Library

2. Data Visualization with Matplotlib Plotting Essentials and Customization

3. Visualizing Average Session Length per Day with a Line Chart.html

4. Exploring Subplots, Scatter Plots, and Customization

5. Creating a Scatter Plot of Random Data Points.html

6. Crafting Bar Plots, Histograms, Pie Charts with Customization Using Matplotlib

7. Practice Assignment Visualizing Olympic Medals Data with Matplotlib.html

11. Seaborn Library

1. Introduction to Seaborn Library

2. Exploring Seaborn Univariate and Bivariate Analysis for Data Visualization

3. Advanced Data Visualization with Seaborn Pairplot and Barplot Customization

4. Advanced Visualizations with Countplot and Heatmap Using Seaborn

5. Practice Assignment Data Visualization with Seaborn and the Iris Dataset.html

12. Conclusion

1. About your certificate.html

2. Bonus lecture.html

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تولید کننده: Udemy