Become a Python Data Analyst. Take your data analytics and predictive modeling skills to the next level using the popular tools and libraries in Python
The Python programming language has become a major player in the world of Data Science and Analytics. This course introduces Python’s most important tools and libraries for doing Data Science; they are known in the community as “Python’s Data Science Stack”.
This is a practical course where the viewer will learn through real-world examples how to use the most popular tools for doing Data Science and Analytics with Python.
Become a Python Data Analyst Description
This course introduces the viewer to the main libraries of Python’s Data Science stack. Taking an applied approach, it provides many examples using real-world datasets to show how to effectively use Python’s tools to process, visualize and analyze data. It contains all you need to start analyzing data with Python and provides the foundation for more advanced topics like Predictive Analytics.
What you’ll learn
Learn about the most important libraries for doing Data Science with Python and how they can be easily installed with the Anaconda distribution.
Understand the basics of Numpy which is the foundation of all the other analytical tools in Python.
Produce informative, useful and beautiful visualizations for analyzing data.
Analyze, answer questions and derive conclusions from real world data sets using the Pandas library.
Perform common statistical calculations and use the results to reach conclusions about the data.
Learn how to build predictive models and understand the principles of Predictive Analytics
Who this course is for:
- Data analysts or data scientists interested in learning Python’s tools for doing Data Science.
- Business Analysts and Business Intelligence experts who would like to learn how to use Python for doing their data own analysis tasks will also find this tutorial very helpful.
- Software engineers and developers interested in Python’s capabilities for analyzing data gain a lot from this course.
- A basic (beginner’s level) familiarity with Python language is assumed.
Become a Python Data Analyst Free Download
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