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.
Introduction to Data Science in Python
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Introduction to Data Science in Python
This course is part of Applied Data Science with Python Specialization
Instructor: Christopher Brooks
860,290 already enrolled
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Gain insight into a topic and learn the fundamentals.
27,282 reviews
Intermediate level
Some related experience required
Flexible schedule
3 weeks at 10 hours a week
Learn at your own pace
92%
Most learners liked this course
What you'll 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'll gain
- Pivot Tables And Charts
- Data Processing
- Probability & Statistics
- Data Science
- Statistical Methods
- Scripting Languages
- Data Import/Export
- Data Preprocessing
- Statistical Analysis
- Data Transformation
- Text Mining
- Data Cleansing
- Data-Driven Decision-Making
- Data Analysis
- Data Wrangling
- Programming Principles
- Data Manipulation
Tools you'll learn
Details to know
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Assessments
9 assignments
Taught in English
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This course is part of the Applied Data Science with Python Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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(3,904 ratings)15 Courses963,922 learners
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Showing 3 of 27282
ME
Reviewed on Jul 26, 2020
Quizzes were very challenging and interesting. I learned alot. The main drawback in this course is that the materials are insufficient to answer the assignments.And some questions were not so clear.
HC
Reviewed on May 3, 2018
It's very useful specially for new learner because it only dives into the part of python that data science need. I strongly recommend to anyone even if you don't have experience in programming before.
DR
Reviewed on Aug 24, 2017
The course is good but the oral explanations are at times very tiresome. A more constructive approach in which the explanations are followed by step-by-step examples whould be far better.Best regards
