Introduction to Data Science in Python
About Course
Dive into the world of data science with this comprehensive Introduction to Data Science in Python course offered by the University of Michigan. This free course, available on our platform from leading providers like Udemy, Coursera, and more, equips you with the fundamental skills needed to excel in this in-demand field.
Master the basics of the Python programming environment, including essential techniques such as Lambda functions, CSV file handling, and the NumPy library. Discover data manipulation and cleaning techniques using the powerful Pandas library, learning to work with series abstractions and DataFrames for efficient data analysis. Explore functions like groupby, merge, and pivot tables to gain insights from your data.
By the end of this course, you’ll be able to clean, manipulate, and analyze tabular data, laying a strong foundation for further exploration into advanced data science concepts. This course serves as a crucial prerequisite for other Applied Data Science courses with Python, including:
- Applied Mapping, Graphing and Data Visualization in Python
- Applied Machine Learning in Python
- Applied Text Mining in Python
- Applied Social Network Analysis in Python
Start your data science journey today – enroll for free and unlock the power of Python!
Course Content
Coursera – Introduction to Data Science in Python
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A Message from the Professor
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002 01_introduction-to-specialization.mp4
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004 02_about-the-professor-christopher-brooks.mp4
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006 03_data-science.mp4
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007 04_50-years-of-data-science-david-donoho-optional_50YearsDataScience.pdf
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009 05_the-coursera-jupyter-notebook-system.mp4
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011 06_python-functions.mp4
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013 07_python-types-and-sequences.mp4
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015 08_python-more-on-strings.mp4
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017 09_python-demonstration-reading-and-writing-csv-files.mp4
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019 10_python-dates-and-times.mp4
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021 11_advanced-python-objects-map.mp4
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023 12_advanced-python-lambda-and-list-comprehensions.mp4
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025 13_advanced-python-demonstration-the-numerical-python-library-numpy.mp4
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026 14_week-1-slides_introdatasciencepython_week1.pdf
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028 01_introduction.mp4
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030 02_the-series-data-structure.mp4
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032 03_querying-a-series.mp4
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034 04_the-dataframe-data-structure.mp4
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036 05_dataframe-indexing-and-loading.mp4
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038 06_querying-a-dataframe.mp4
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040 07_indexing-dataframes.mp4
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042 08_missing-values.mp4
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043 09_week-2-slides_introdatasciencepython_week2.pdf
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045 01_merging-dataframes.mp4
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047 02_pandas-idioms.mp4
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049 03_group-by.mp4
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051 04_scales.mp4
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053 05_pivot-tables.mp4
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055 06_date-functionality.mp4
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056 07_week-3-slides_introdatasciencepython_week3.pdf
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058 01_introduction.mp4
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060 02_distributions.mp4
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062 03_more-distributions.mp4
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064 04_hypothesis-testing-in-python.mp4
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065 05_week-4-slides_introdatasciencepython_week4.pdf
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Section Quiz
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