Description
Data Scientist with Python, Data Science with Python training course is published by Datacamp Academy. Learn Python for data science and gain the skills you need to succeed as a data scientist, from data manipulation to machine learning. Along the way, you’ll learn how this versatile language enables you to import, clean, manipulate, and visualize data, all essential skills for any aspiring data scientist or expert. Starting with the basics of Python for data science, you’ll work through interactive exercises that test your abilities. Next, you will get to know some of the most popular Python libraries in the field of data science, including Pandas, Seaborn, Matplotlib, scikit-Learning and many others.
As you progress, you’ll work with real-world datasets to learn the statistical and machine learning techniques you need to perform hypothesis testing and build predictive models. You can also familiarize yourself with your skills in different projects and use your skills. Embark on this path, enhance your data science skills and begin your journey to becoming a confident data scientist with Python.
What you will learn
- Introduction to Python
- Manipulating data with pandas
- Introducing statistics in Python
- An introduction to data visualization with Matplotlib
- An introduction to data visualization with Seaborn
- Python Data Science Toolbox
- Exploratory data analysis in Python
- Concepts of data communication
- An introduction to data entry in Python
- Cleaning data in Python
- Familiarity with statistical models in Python
- Sampling in Python
- Hypothesis testing in Python
- Unsupervised learning in Python
- Machine learning with tree-based models in Python
Details of the Data Scientist with Python course
- Publisher: Datacamp
- Lecturer: Hugo Bowne-Anderson, Richie Cotton
- English language
- Education level: all levels
- Number of courses: 23
- Training duration: 90 hours and 0 minutes
Chapters of the Data Scientist with Python course
Pictures
Sample video
Installation guide
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English subtitle
Quality: 720p
This skill consists of 23 courses
download link
Introduction to Python
Intermediate Python
Data manipulation with pandas
Joining Data with pandas
Download – 88 MB
Introduction to Statistics in Python
Introduction to Data Visualization with Matplotlib
Introduction to Data Visualization with Seaborn
Download – 69 MB
Python Data Science Toolbox (Part 1)
Download – 88 MB
Python Data Science Toolbox (Part 2)
Intermediate Data Visualization with Seaborn
Download – 54 MB
Exploratory Data Analysis in Python
Download – 94 MB
Working with Categorical Data in Python
Download – 70 MB
Data Communication Concepts
Download – 95 MB
Introduction to Importing Data in Python
Download – 126 MB
Cleaning Data in Python
Working with Dates and Times in Python
Download – 69 MB
Writing Functions in Python
Download – 65 MB
Introduction to Regression with statistical models in Python
Download – 72 MB
Sampling in Python
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 with Tree-Based Models in Python
Download – 88 MB
File(s) password: www.downloadly.ir
Size
2.15 GB
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