on February 2nd, 2021
Last Verified on September 15th, 2021,
Why should you take this Course?
It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Analyst/Data Scientist
It shows and explains the full real-world Data. Starting with importing messy data, cleaning data,merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinkinglike How you can come up with a conclusion
Guaranteed Satisfaction: Otherwise, get your money back with 30-Days-Money-Back-Guarantee.
Who this course is for:
Everyone who want to step into Data Science/Data Analytics.
Anyone interested about the rapidly expanding world of data Analytics/Data Science
Everyone who want to switch Data Projects from Excel to Python (e.g. in Research/Science)
Data Scientists who want to improve their Data Handling/Manipulation/Analysis skills.