| 1. About your certificate.html | 921.6 B | ||
| 1. File IO in Python.mp4 | 69.4 MB | ||
| 1. For loops in Python.mp4 | 76.9 MB | ||
| 1. Function in Python.mp4 | 70.7 MB | ||
| 1. Introduction to Matplotlib Library.mp4 | 39.5 MB | ||
| 1. Introduction to NumPy arrays.mp4 | 60.9 MB | ||
| 1. Introduction to Pandas Library.mp4 | 40.8 MB | ||
| 1. Introduction to Python.mp4 | 37.1 MB | ||
| 1. Introduction to Seaborn Library.mp4 | 71.5 MB | ||
| 1. Introduction.mp4 | 20 MB | ||
| 1. List in Python.mp4 | 75 MB | ||
| 1. Python Conditional Expressions.mp4 | 31.7 MB | ||
| 10. Practice Assignment.html | 102.4 B | ||
| 2. Accessing the elements of NumPy arrays.mp4 | 33.5 MB | ||
| 2. Bonus lecture.html | 6.3 KB | ||
| 2. Checking Even Numbers Using Functions in Python.html | 102.4 B | ||
| 2. Conditional Statements in Python.html | 102.4 B | ||
| 2. Course resources.html | 102.4 B | ||
| 2. Creating DataFrame from Dictionary in Pandas.html | 102.4 B | ||
| 2. Data Visualization with Matplotlib Plotting Essentials and Customization.mp4 | 116.5 MB | ||
| 2. Exploring Seaborn Univariate and Bivariate Analysis for Data Visualization.mp4 | 50.4 MB | ||
| 2. First code to Python Programming.html | 102.4 B | ||
| 2. Generating Square Numbers in Python.html | 102.4 B | ||
| 2. Working with Lists in Python.html | 102.4 B | ||
| 2. Writing to a File in Python.html | 102.4 B | ||
| 3. Advanced Data Visualization with Seaborn Pairplot and Barplot Customization.mp4 | 88.6 MB | ||
| 3. Creating and Accessing Elements in NumPy Arrays.html | 102.4 B | ||
| 3. Exploring Operators and Conditional Expressions in Python.mp4 | 79.7 MB | ||
| 3. Exploring Series and DataFrame in Python.mp4 | 47.3 MB | ||
| 3. Quiz.html | 102.4 B | ||
| 3. Recursion in Python.mp4 | 52.6 MB | ||
| 3. Tuples in Python.mp4 | 41.6 MB | ||
| 3. Variables in Python Declaration and Use.mp4 | 67.5 MB | ||
| 3. Visualizing Average Session Length per Day with a Line Chart.html | 102.4 B | ||
| 3. While loops in Python.mp4 | 51.6 MB | ||
| 4. Advanced Visualizations with Countplot and Heatmap Using Seaborn.mp4 | 64 MB | ||
| 4. Basic Arithmetic Operations in Python.html | 102.4 B | ||
| 4. Dictionaries in Python.mp4 | 36.8 MB | ||
| 4. Essential Data Analysis Methods in Python.mp4 | 111.6 MB | ||
| 4. Exploring Subplots, Scatter Plots, and Customization.mp4 | 78.2 MB | ||
| 4. Lambda function.mp4 | 49.5 MB | ||
| 4. Leveraging Data Types, Shapes, and Array Stacking in NumPy.mp4 | 53 MB | ||
| 4. Practice Assignment.html | 102.4 B | ||
| 5. Creating a Scatter Plot of Random Data Points.html | 102.4 B | ||
| 5. Data types in Python.mp4 | 38.9 MB | ||
| 5. Exploring Diverse Approaches to Creating NumPy Arrays.mp4 | 42.6 MB | ||
| 5. Importing Data from CSV File using Pandas.html | 102.4 B | ||
| 5. Lambda Functions for Exponentiation.html | 102.4 B | ||
| 5. Practice Assignment Data Visualization with Seaborn and the Iris Dataset.html | 102.4 B | ||
| 5. Working with Dictionaries in Python.html | 102.4 B | ||
| 6. Crafting Bar Plots, Histograms, Pie Charts with Customization Using Matplotlib.mp4 | 85.9 MB | ||
| 6. Creating NumPy Arrays with Evenly Spaced Numbers.html | 102.4 B | ||
| 6. Missing Data Handling in Python.mp4 | 109.2 MB | ||
| 6. Practice Assignment.html | 102.4 B | ||
| 6. Python String.mp4 | 48.2 MB | ||
| 6. Sets in Python.mp4 | 29.9 MB | ||
| 7. Manipulating DataFrame in Python.mp4 | 110.7 MB | ||
| 7. Mathematical operations on arrays.mp4 | 46.1 MB | ||
| 7. Practice Assignment Visualizing Olympic Medals Data with Matplotlib.html | 102.4 B | ||
| 7. Practice Assignment.html | 102.4 B | ||
| 7. Quiz.html | 102.4 B | ||
| 8. Array Operations and Median Calculation in Python.html | 102.4 B | ||
| 8. Practice Assignment Analyzing and Visualizing the Titanic Dataset with Pandas.html | 102.4 B | ||
| 8. String methods.mp4 | 82.5 MB | ||
| 9. Calculating Body Mass Index (BMI) in Python.html | 102.4 B | ||
| 9. Practice Assignment.html | 102.4 B | ||
| Autoviz-checkpoint.ipynb | 102.4 B | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| Housing.csv | 29.3 KB | ||
| Housing.xlsx | 37.5 KB | ||
| Housing_with_null.csv | 29.1 KB | ||
| MatplotLib-checkpoint.ipynb | 102.4 B | ||
| Numpy-checkpoint.ipynb | 102.4 B | ||
| Numpy.ipynb | 53.1 KB | ||
| Pandas-checkpoint.ipynb | 102.4 B | ||
| Pandas.ipynb | 233.8 KB | ||
| Python_Tutorial-checkpoint.ipynb | 120 KB | ||
| Python_Tutorial.ipynb | 139.8 KB | ||
| Seaborn-checkpoint.ipynb | 102.4 B | ||
| Seaborn.ipynb | 2 MB | ||
| example-checkpoint.txt | 0 B | ||
| example.txt | 0 B | ||
| gemini-checkpoint.ipynb | 102.4 B | ||
| ▲ 85 total files | |||
Python for Data Science: Python Programming & Data Analysis (2024)
https://CourseWikia.com
Published 5/2024
Created by Start-Tech Trainings,Start-Tech Academy
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 39 Lectures ( 6h 5m ) | Size: 2.15 GB
Transform data into insights using Python and its powerful Libraries such as Numpy, Pandas, MatplotLib, Seaborn etc.
What you'll learn:
Gain a thorough understanding of Python syntax, script writing, and fundamental programming concepts such as variables, data types, and string operations
Become adept at using lists, dictionaries, tuples, and sets for organizing and managing data effectively within Python
Master the use of conditional statements and loops in Python to automate and optimize data processing tasks
Learn to design reusable Python functions to perform repetitive tasks efficiently, including knowledge of recursion and lambda functions
Acquire skills in reading from and writing to files in Python, crucial for data processing tasks in real-world applications
Understand how to use NumPy arrays for complex mathematical computations and effectively handle large datasets with high performance
Master the use of Pandas for data manipulation and analysis; learn how to explore, clean, and transform data into a suitable format for analysis
Develop the ability to create insightful visual representations of data using Matplotlib and Seaborn libraries of Python
Requirements:
No prior experience in Python or data analysis is required; just basic computer skills and access to a computer with an internet connection are necessary to start this course.
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 234.3 MB | SeedHash | 1 week | 23 | 7 | |
| 1.8 GB | freecoursewb | 3 weeks | 49 | 5 | |
| 2.2 GB | freecoursewb | 3 weeks | 34 | 5 | |
| 1 GB | freecoursewb | 1 month | 0 | 0 | |
|
Udemy - Python Programming for Beginners - Learn Python from Scratch Posted by
freecoursewb in Other
|
3.9 GB | freecoursewb | 1 month | 41 | 6 |
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