Master Data Science with Python in 10 Hours | 2021
What you'll learn
- 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!
Course content
- Preview01:07
- Preview05:56
Requirements
- A computer with internet connection
Description
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!
Who this course is for:
- Anyone who wants to learn Python and Data Science
- Beginner Python developers curious about data science
Instructors
![Berk Hakbilen](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.3 Instructor Rating
- 324 Reviews
- 23,684 Students
- 2 Courses
I am an engineer with Bachelor's Degree in Aerospace Engineering and Master's Degree in Computational Engineering working in software and method development for CAE systems. Throughout my education and professional career, I have leveraged Data to find solutions to engineering problems. Also, supporting a start up to provide an innovative solution to an environmental problem using Deep Learning algorithms to help overcome one of the best environmental challenges we are facing on earth! As an instructor, I am also passionate about sharing my knowledge and experience with my students!
- 4.3 Instructor Rating
- 324 Reviews
- 23,684 Students
- 2 Courses
He has done his Bachelor in Aerospace Engineering in Turkey and his master's in Computational Engineering in Germany. He worked in the industry and as a student assistant in the Ruhr University Bochum in the fields of software development, numerical methods, data analytics. He has written his Master's Thesis in MTU Aero Engines in Munich, whose topic is related to software development and mesh optimizations. Currently, he is writing and publishing articles in Artificial Intelligence, Machine Learning, Deep Learning and Data Science fields also he is working on a start-up that can be introduced as Recycling with Machine Learning.
Tarık Şahin Orta Doğu Teknik Üniversitesi Havacılık ve Uzay Mühendisliği bölümünü bitirdi. Lisans süresinde Türkiye'de tanınmış bir çok şirkette mühendis ve stajyer olarak çalıştı. Daha sonra Yüksek lisansını yapmak için Almanya Ruhr Universitaet Bochum Computational Engineering bölümüne gitti. Yüksek lisans süresinde yazılım geliştirme, veri analitiği, numerik hesaplamalar üzerine üniversitede asistan olarak çalıştı. Daha sonra Münih'teki bir uçak motoru fabrikasında yazılım geliştirme üzerine yüksek lisans tezini yazdı. Şimdi ise yapay zeka alanlarında bir start-up üzerine çalışmalar yürütmektedir.