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 stars24.46%
- 3 stars5.35%
- 2 stars1.91%
- 1 star2%
TOP REVIEWS FROM INTRODUCTION TO DATA SCIENCE IN PYTHON
Um curso intenso e bastante prazeroso. Gostei de todas as etapas, os videos funcionam bem e estão construidos numa base introdutória, mas o desafio é pesquisar e pesquisar. Muito interessante mesmo!
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.
A very nice introduction to libraries/skills used by data scientists. The auto-grader was extremely annoying though. Also, I felt that some of the questions on the assignments were a bit ambiguous.
I found this course appealing because it was more practical based.it helped me alot in getting hands on experience and most of all I have learned how to solve real world problem with python libraries
About the Applied Data Science with Python Specialization
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