Udemy – Data Analytics & Visualization: Using Excel and Python 2023-11

Udemy – Data Analytics & Visualization: Using Excel and Python 2023-11 Downloadly IRSpace

Aug 16, 2025 - 06:56 Updated: Aug 17, 2025 - 19:32

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Udemy – Data Analytics & Visualization: Using Excel and Python 2023-11

Data Analytics & Visualization: Using Excel and Python. This course teaches the fundamental skills of data analysis and visualization using tools such as Excel and Python. Participants will be introduced to key concepts such as Python programming, statistical analysis, data management, and creating effective charts. In the Python section, the Pandas and NumPy libraries for data processing are taught, while in Excel, advanced formulas and visualization tools are explored. The course also covers data cleaning, exploratory analysis (EDA), and pattern recognition to extract valuable insights. By learning tools such as Matplotlib and Seaborn, participants will be able to present data in graphical and informative ways. By the end of the course, individuals will be able to analyze real-world data and make evidence-based decisions in professional environments.

What you will learn:

Real-world use cases of Python and its versatility.
Installing Python on Mac and Windows operating systems.
Fundamentals of programming with Python, including variables and data types.
Working with different types of Operators in Python to perform operations.
Basic concepts and importance of statistics in various fields.
How to use statistics for effective data analysis and decision making.
An introduction to Python for statistical analysis, including data manipulation and visualization.

Who is this course suitable for?

Beginners without any prior programming experience.
Students or professionals in various fields, including business, science, social sciences, and healthcare, who want to improve their data analysis skills.
Anyone interested in automating tasks or analyzing data.
Data analysts, researchers, and scientists looking to strengthen their statistical fundamentals and Python programming skills.
Beginners without any prior statistical knowledge but with a curiosity to learn and apply statistical methods.
Professionals looking to advance their careers by acquiring valuable statistical and data analysis skills.