Summary, Description
This is the first course using Python that offers hands-on data analysis projects.
Right now, can you begin?
Python Beginners’ frequently asked question is: “Do I need to become an expert in Python coding before I can start working on Data Analysis Projects?”
The clear answer is: “No! No!”
You just need some Python basics like data types, simple operations/operators, lists and numpy arrays that you can learn from my ‘Basics Of Python’ Free Python course.
As a summary, this course is a perfect match if you mainly want to use Python for Data Science or as a replacement for Excel!
Why should you take a course like this?
Projects on actual data and real-world problems are explained. No data on toys! This is the easiest and best way to become a data analyst.
It shows the full real-world data and explains it. Exploratory Data Analysis through the preparation and processing of data for statistics, machine learning and data presentation, starting with the import of messy data, cleaning data, and concatenating data, grouping and aggregating data.
Professionals who are exposed to information but are still unable to leverage its power
Managers of products who want to make data-driven decisions
It gives you plenty of opportunities on your own to practise and code. Learning through doing.
For whom this course is intended:
Data Science/Data Analytics is for everyone who wants to step in.
Those interested in the rapidly expanding data analytics/data science world
Everyone who wants to switch from Excel to Python Data Projects (such as in Research/Science)
Data Scientists who want to develop their abilities in data handling/manipulation/analysis.
