Description
Data Scientist Professional with Python, Data Scientist Professional course is published by Datacamp Academy. Gain the skills you need to become a Data Scientist with Python certification and set yourself up for success in data science. Along the way, you’ll focus on using Python for data science, starting with the basics and moving on to more advanced topics like machine learning. You will cover a wide range of areas including data manipulation, visualization and analysis using popular Python libraries such as Python, Seaborn, Matplotlib and Scikit – Learning.
As you progress, you’ll work through interactive exercises using real-world datasets to help you test your abilities and develop your skills. These examples will help you explore various statistical and machine learning techniques, including hypothesis testing and predictive modeling. You will also gain an understanding of package development, data preprocessing, SQL for relational databases, Git for data science projects, and more. Complete this track to gain the knowledge and experience you need to succeed as a Python Certified Professional Data Scientist and grow as a Data Scientist.
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
- Working with date and time 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
- Preprocessing for Machine Learning in Python
- Development of Python packages
- Machine learning for business
- Introduction to Git
Details of the Data Scientist Professional with Python course
- Publisher: Datacamp
- Lecturer: Hugo Bowne-Anderson, Richie Cotton
- English language
- Education level: all levels
- Number of courses: 31
- Training duration: 116 hours and 0 minutes
Chapters of the Data Scientist Professional with Python course
Pictures
Sample video
Installation guide
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English subtitle
Quality: 720p
This skill consists of 31 courses.
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Introduction to Python
Download – 150 MB
Intermediate Python
Download – 218 MB
Data manipulation with pandas
Joining Data with pandas
Introduction to Statistics in Python
Download – 91 MB
Introduction to Data Visualization with Matplotlib
Introduction to Data Visualization with Seaborn
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
Working with Categorical Data in Python
Data Communication Concepts
Introduction to Importing Data in Python
Cleaning Data in Python
Working with Dates and Times in Python
Writing Functions in Python
Introduction to Regression with statistical models 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
Intermediate Importing Data in Python
Preprocessing for Machine Learning in Python
Developing Python Packages
Machine Learning for Business
Introduction to SQL
Intermediate SQL
Joining Data in SQL
Introduction to Git
File(s) password: www.downloadly.ir
Size
2.7 GB
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