Applied Data Science with Python Specialization
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?
Course videos can be downloaded for offline viewing using the Udemy mobile app on Android and iOS. Some courses may allow downloading lectures on a computer only if the instructor has enabled it, but this is not guaranteed and is not the primary method Udemy supports.Can I get a certificate after completing the course?
Yes. After successful completion of the Applied Data Science with Python Specialization, learners will receive a certificate of completion. The certificate confirms that the course has been completed and can be downloaded and shared on resumes or professional profiles.Are there any other coupons available for this course?
Additional coupons for this course may be available from time to time. Coupon availability is time-limited and may change or expire at any time, so it’s recommended to check regularly for updated offers.Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
