What you will learn from this Specialization course
- Introduction to Data Science in Python :- In this course you will learn basics of the python programming environment, including fundamental python programming ,data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and Data Frame as the central data structures for data analysis
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Applied Plotting, Charting & Data Representation in Python :- In this you will learn information visualization basics, with a focus on reporting and charting using the matplotlib library.
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Applied Machine Learning in Python :-In this course you will learn applied machine learning, focusing more on the advanced techniques and advanced methods than on the statistics behind these methods.
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Applied Text Mining in Python :- In this course you will learn text mining and text manipulation basic- Learn NLTK Framework
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Applied Social Network Analysis in Python :- In this course you will learn network analysis through tutorials using the NetworkX library.
After completing each course in specialization and complete the hands-on project, you’ll earn a Certificate.
Course Rating : 4.5
Can I download Applied Data Science with Python Specialization course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Applied Data Science with Python Specialization course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.comDisclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.