Explanation
Python Data Scientist, learn Python for data science and gain the job-building skills you need to be a successful data scientist, from data manipulation to machine learning! Along the way, you’ll learn how this versatile language allows you to import, clean, manipulate, and visualize data—all essential skills for any data professional or researcher. Starting with the basics of Python for data science, you’ll work through interactive exercises that test your abilities. You’ll get familiar with some of the most popular Python libraries in data science, including pandas, Seaborn, Matplotlib, scikit-learn, and more.
As you progress, you’ll work with real-world data to learn the statistics and machine learning techniques you need to conduct hypothesis testing and build predictive models. You will also get an introduction to supervised learning with scikit-bar and apply your skills to various projects. Get started on this path, develop your scientific skills, and begin your journey to becoming a confident Python data scientist.
What will you learn?
- Introduction in Python
- data Activities with pandas
- joining data with pandas
- Introduction to Statistics in Python
- Introduction To plot Matplotlib Data
- Introduction to draw Seaborn Data
- Python Data Science Tools
- exploration Data Analysis in Python
- working with Python Component Data
- data Concepts of Communication
- cleaning Data in Python
- working with Dates and Times in Python
- Text Python functions
- Introduction reversion to stasmodels in Python
- Sample in Python
- imagination Testing with Python
- supervised Learn with scikit-bar
- Without protection Learning Python
- the machine Learning Tree-Based Patterns in Python
Data Scientist’s Guide to Python
- Publisher: data camp
- Teacher: Hugo Bowne-Anderson, Richie Cotton
- Language : English
- Level : All Levels
- Number of courses: 23
- Duration: 90 hours and 0 minutes
Python Data Scientist Essentials
Pictures
Sample Clip
Installation Guide
Extract files and watch your favorite player
Subtitle : English
Quality: 720p
Download Links
Introduction to Python
Python neutral
Applying data to pandas
Joining Pandas Data
Download – 88 MB
Introduction to Python Statistics
Introduction to Graphical Data in Matplotlib
Introduction to Seaborn Image Data
Download – 69 MB
Python Data Science Toolbox (Part 1)
Download – 88 MB
Python Data Science Toolbox (Part 2)
Seaborn Intermediate Survey
Download – 54 MB
Analyzing Survey Data in Python
Download – 94 MB
Working with Component Databases in Python
Download – 70 MB
Data Communication Concepts
Download – 95 MB
An introduction to importing data from Python
Download – 126 MB
Data Cleaning in Python
Working with Dates and Times in Python
Download – 69 MB
Writing Functions in Python
Download – 65 MB
Introduction to Regression with statsmodels in Python
Download – 72 MB
Python sampling
Download – 83 MB
Hypothesis testing in Python
Download – 86 MB
Supervised learning with scikit-learn
Download – 87 MB
Unsupervised learning in Python
Download – 117 MB
Machine Learning for Tree-Based Models in Python
Password file: free download software
file size
2.15 GB