LinkedIn – Python for Data Analysis: Solve Real-World Challenges 2024-5

Python for Data Analysis: Solve Real-World Challenges course. In today’s world where jobs related to data and data analytics are increasingly growing, the demand for data related skills has also increased dramatically. If you are a data scientist, this is great news for you! However, to remain competitive in this market, you must constantly adapt to the changing needs of the market. One of these needs is learning to use tools like Python to solve big data challenges.

In this training course, Sarah Nooravi will review practical and project-based Python and will teach you the necessary skills to stand out in this competitive market. Sarah walks you through a complete data analysis process with Python, which is an example of real job tasks. This process starts from stating the problem and continues until providing the final insight. Sarah helps you break down the problem into smaller parts, set expectations, and learn best practices for data cleansing, data visualization, and data storytelling. Finally, he shares common mistakes as well as key business and soft skills that will help you stand out.

What you will learn:

• How to use Python to clean, manipulate, and analyze real-world data
• How to create engaging and informative data visualizations to provide insights from data
• How to effectively communicate your findings to stakeholders
• Best practices for doing data analysis projects using Python
• Key business skills and soft skills needed to succeed in the data world

This course is suitable for people who:

• Looking to learn the skills necessary to become an in-demand data analyst
• They want to use Python to solve big data challenges
• Looking to take their data analysis skills to the next level
• They need to learn how to effectively communicate their data findings to stakeholders
• Want to learn the key business skills and soft skills needed to succeed in the data world

Course details

• Publisher: LinkedIn
• Instructor: Sarah Nooravi
• Training level: beginner
• Training duration: 2 hours and 3 minutes

Course topics on 6/2024

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