- Course type
- Paid course
- All Levels
- 11 hours
- 62 lessons
- Available on completion
- Course author
- Berk Hakbilen
- Importance of Data Science and It's applications
- Python - data types, functions, if conditions, loops and functions
- Numpy library - a faster alternative to store data!
- Pandas library - import, clean and modify large data sets
- Matplotlib library - visualize data
- Seaborn library- create impressive statistical plots
- Communicate conclusions from data effectively using plots
- and many more!
With this course, you will learn the basics of Python and its most popular libraries for Data Science such as Numpy, Pandas, Matplotlib, Seaborn. You will learn all the important tools and knowledge for Data Science with more than 60 lectures, practice all your new skills with 4 big exercises sections, including more than 85 exercise questions and you will do all of this using one of the most popular programming languages: PYTHON!
Data pre-processing is a very important stage of the work flow of Machine Learning. With this course, you will learn how to import, check, clean data in terms of data pre-processing for Machine Learning, also visualize data and communicate your results using impressive plots. This course will help you jump start your career or take your first big step into the world of Data Science and Machine Learning which are very popular fields with many attractive job opportunities!
Don't miss this train and take your place in the world of DATA!