Introduction to Data Science in Python

5.0 /5

(6 Ratings)

Offered byCoursera

Introduction to Data Science in Python
at
Coursera
Overview

Duration	31 hours
Total fee	Free
Mode of learning	Online
Difficulty level	Intermediate
Official Website	Explore Free Course
Credential	Certificate

Introduction to Data Science in Python
at
Coursera
Highlights

Flexible deadlines Reset deadlines in accordance to your schedule.
Shareable Certificate Earn a Certificate upon completion
100% online Start instantly and learn at your own schedule.
Course 1 of 5 in the Applied Data Science with Python Specialization
Intermediate Level
Approx. 31 hours to complete
English Subtitles: Arabic, French, Portuguese (European), Italian, Portuguese (Brazilian), Vietnamese, Korean, German, Russian, English, Spanish

Introduction to Data Science in Python
at
Coursera
Course details

Skills you will learn

Data mining Python Operations Data Processing Data Science Data structures Statistics Data analysis

More about this course

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 should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python.

Introduction to Data Science in Python
at
Coursera
Curriculum

Fundamentals of Data Manipulation with Python

Introduction to Specialization

Introduction to the Course

The Coursera Jupyter Notebook System

Python Functions

Python Types and Sequences

Python More on Strings

Python Demonstration: Reading and Writing CSV files

Python Dates and Times

Advanced Python Objects, map()

Advanced Python Lambda and List Comprehensions

Numerical Python Library (NumPy)

Manipulating Text with Regular Expression

Syllabus

Notice for Auditing Learners: Assignment Submission

Help Us Learn More About You!

Week 1 Textbook Reading Assignment (Optional)

50 years of Data Science, David Donoho (Optional)

Regular Expression Operations documentation

Quiz 1

Basic Data Processing with Pandas

Introduction to Pandas

The Series Data Structure

Querying a Series

DataFrame Data Structure

DataFrame Indexing and Loading

Querying a DataFrame

Indexing Dataframes

Missing Values

Example: Manipulating DataFrame

Week 2 Reading Assignments (Optional)

Quiz 2

More Data Processing with Pandas

Merging Dataframes

Pandas Idioms

Group by

Scales

Pivot Table

Date/Time Functionality

Week 3 Reading Assignments (Optional)

Quiz 3

Answering Questions with Messy Data

Basic Statistical Testing

Other Forms of Structured Data

Science Isn't Broken: p-hacking

Goodhart's Law (Optional)

The 5 Graph Algorithms that you should know

Post-course Survey

Keep Learning with Michigan Online!

Final Quiz

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Introduction to Data Science in Python
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Students Ratings & Reviews

5/5

6 Ratings

4-5
6

Shivam

Introduction to Data Science in Python

Offered by Coursera

Learning Experience: My learning experience was very good, I felt no such challenges in learning and the mentor was very polite and helpful, the course content is according to the latest syllabus and updated curriculum

Faculty: The faculty is very helpful and nice, they regularly solve our doubt sessions and help us to score good marks. The course curriculum is very well designed and updated according to the latest curriculum, regular assessments and assignments were there in my course

Course Support: Well this course has helped me in my studies and my exams. From this course only I can score good marks in my academics.

Reviewed on 20 May 2023Read More

Manish kumar

Introduction to Data Science in Python

Offered by Coursera

Learning Experience: Learning experience was really awesome. Course content is prepared in very nice manner. Video lectures, study material provided by instructor is of very good quality. And course end examination is standard quality.

Faculty: Faculty was knowledgeable and experienced one who delivers each and every modules lectures in very organized manner and starts the topic from beginner level and ends with advance level. He has also good practical knowledge and concept. Course curriculum consists video lectures followed by quiz each week. Study materials were also provided and various references were given for more details. At end of all modules, an exam was scheduled and on getting specific percentage, certificate was given along with coursera batch. I liked most about it was instructor video presentation and way of teaching.

Course Support: Actually I wants to learn a coding language. So, I chose python to hands on. The instructor was very good and knowledgeable person. And due to him and my hard work, I learnt entire python within 2 months and now I am very comfortable with this language. Thanks Coursera.

Reviewed on 16 Mar 2023Read More

ASHLESH BR

Introduction to Data Science in Python

Offered by Coursera

Other: Very well built course structure with more useful assignment

Reviewed on 15 Mar 2021Read More

View All 3 Reviews