Summary, Description
This is the first course using Python that provides hands-on data analysis tasks.
Right now, can you begin?
Python Beginners’ commonly asked question is: “Do I need to become an expert in Python coding before I can start working on Data Analysis Projects?”
The simple response is: “No! No!”
You just need some Python fundamentals like data types, simple operations/operators, lists and numpy arrays that you can learn from my ‘Basics Of Python’ Free Python tutorial.
As a review, this course is a great fit if you mainly want to use Python for Data Science or as a substitute for Excel!
Why do you take a course like this?
Projects on actual data and real-world challenges are explained. No info on toys! This is the fastest and safest way to become a data analyst.
It displays the full real-world details and describes it. Exploratory Data Analysis through the preparation and processing of data for statistics, machine learning and data presentation, beginning with the importing of messy data, cleaning data, combining and concatenating data, grouping and aggregating data.
It offers you lots of chances on your own to learn and code. Learning by doing.
Coding and the business side of things are similarly important in real-world ventures. This is perhaps the only course that teaches both: in-depth Python coding and big-picture reasoning like how to draw a conclusion.
Guaranteed satisfaction: If not, with the 30-Days-Money-Back-Guarantee, get your money back.
For whom this course is intended:
- Data Science/Data Analytics is for anyone who needs to move in.
- Many involved in the quickly expanding data analytics/data science world
