A brief description
This is the first course to include hands-on Python Data Analysis Assignments.
Is it possible for you to begin right now?
“Do I need to become an expert in Python coding before I can start working on Data Analysis Projects?” is a question that Python beginners often pose.
“No!” is the unequivocal reaction.
You only need a clear understanding of Python, such as data types, simple operations/operators, lists, and numpy arrays, which you can learn in my free Python tutorial, ‘Basics Of Python.’
In conclusion, whether you choose to use Python exclusively for Data Science or as a substitute for Excel, this course is a great fit!
What are the advantages of taking this course?
It describes Projects focused on real-world evidence and challenges. There are no toy data! This is the most clear and successful road to become a Computer Analyst or Data Scientist.
It displays and describes the whole set of real-world data. Starting with importing sloppy data, cleaning data, combining and concatenating data, grouping and aggregating data, Exploratory Data Analysis, and planning and analyzing data for Statistics, Artificial Learning, and Data Presentation, we’ve got you covered.
Professionals who have access to data but are unable to make use of it
Managers of goods that wish to make data-driven choices
This course is intended for the following individuals:
Anyone interested in learning more about Data Science and Analytics.
Anyone with an interest in the increasingly growing field of data analytics and data science
All who wants to move their data projects from Excel to Python (for example, in research and science).
Data Scientists who wish to develop their data manipulation, analysis, and handling abilities.
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