Datacamp – Data Scientist with Python 2023-8
Datacamp – Data Scientist with Python 2023-8 Downloadly IRSpace
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Data Scientist with Python,Learn Python for data science and gain the career-building skills you need to succeed as a data scientist, from data manipulation to machine learning! In this track, you’ll learn how this versatile language allows you to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher. Starting with the Python essentials for data science, you’ll work through interactive exercises that test your abilities. You’ll get hands-on with some of the most popular Python libraries for data science, including pandas, Seaborn, Matplotlib, scikit-learn, and many more.
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’ll also get an introduction to supervised learning with scikit-learn and apply your skills to various projects. Start this track, grow your data science skills, and begin your journey to becoming a confident data scientist with Python.
What you’ll learn
- Introduction to Python
- Data Manipulation with pandas
- Joining Data with pandas
- Introduction to Statistics in Python
- Introduction to Data Visualization with Matplotlib
- Introduction to Data Visualization with Seaborn
- Python Data Science Toolbox
- Exploratory Data Analysis in Python
- Working with Categorical Data in Python
- Data Communication Concepts
- Cleaning Data in Python
- Working with Dates and Times in Python
- Writing Functions in Python
- Introduction to Regression with statsmodels in Python
- Sampling in Python
- Hypothesis Testing in Python
- Supervised Learning with scikit-learn
- Unsupervised Learning in Python
- Machine Learning with Tree-Based Models in Python
Specificatoin of Data Scientist with Python
- Publisher : Datacamp
- Teacher : Hugo Bowne-Anderson , Richie Cotton
- Language : English
- Level : All Levels
- Number of Course : 23
- Duration : 90 hours and 0 minutes
Content of Data Scientist with Python
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Sample Clip
Installation Guide
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Subtitle : English
Quality: 720p
Download Links
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 statsmodels 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
File size
2.15 GB
