This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses.
This course is part of the Applied Data Science with Python Specialization
About this Course
What you will learn
Understand techniques such as lambdas and manipulating csv files
Describe common Python functionality and features used for data science
Query DataFrame structures for cleaning and processing
Explain distributions, sampling, and t-tests
Skills you will gain
- Python Programming
- Data Cleansing
Start working towards your Master's degree
Syllabus - What you will learn from this course
Fundamentals of Data Manipulation with Python
Basic Data Processing with Pandas
More Data Processing with Pandas
Answering Questions with Messy Data
- 5 stars66.26%
- 4 stars24.45%
- 3 stars5.36%
- 2 stars1.91%
- 1 star2%
TOP REVIEWS FROM INTRODUCTION TO DATA SCIENCE IN PYTHON
Very good course assignments and projects. Really learnt good by exploring stackoverflow and other forums to complete the assignments. Please include some detailed lectures in the upcoming modules.
Assignments are way tougher than what is taught in the class, but they are challenging and the help in discussion forums is speechless. Without that, completion of assignments will take too much time.
Fantastic course that I learned alot from. The assignments were tougher than I expected, and it was a great way to really groke the concepts. My only criticism was that the auto-grader wasn't great.
Wow, this was amazing. Learned a lot (mostly thanks to stack overflow) but the course also opened my eyes to all the possibilities available out there and I feel like i'm only scratching the surface!
About the Applied Data Science with Python Specialization
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