Analyzing data with Python is an essential skill for Data Scientists and Data Analysts. This course will take you from the basics of data analysis with Python to building and evaluating data models.
IBM Skills NetworkAbout this Course
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100% online
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Beginner Level
You should have a working knowledge of Python and Jupyter Notebooks.
Approx. 14 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
Develop Python code for cleaning and preparing data for analysis - including handling missing values, formatting, normalizing, and binning data
Perform exploratory data analysis and apply analytical techniques to real-word datasets using libraries such as Pandas, Numpy and Scipy
Manipulate data using dataframes, summarize data, understand data distribution, perform correlation and create data pipelines
Build and evaluate regression models using machine learning scikit-learn library and use them for prediction and decision making
Skills you will gain
- Predictive Modelling
- Python Programming
- Data Analysis
- Data Visualization (DataViz)
- Model Selection
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.
Beginner Level
You should have a working knowledge of Python and Jupyter Notebooks.
Approx. 14 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for Business
Offered by
Start working towards your Bachelor's degree
This course is part of the 100% online Bachelor of Science in Computer Science from IBM Skills Network.
If you are admitted to the full program, your courses count towards your degree learning.
Syllabus - What you will learn from this course
2 hours to complete
Importing Datasets
2 hours to complete
6 videos (Total 20 min), 1 reading, 6 quizzes
2 hours to complete
Data Wrangling
2 hours to complete
6 videos (Total 19 min), 1 reading, 6 quizzes
2 hours to complete
Exploratory Data Analysis
2 hours to complete
6 videos (Total 20 min), 1 reading, 6 quizzes
2 hours to complete
Model Development
2 hours to complete
6 videos (Total 27 min), 1 reading, 6 quizzes
Reviews
- 5 stars75.71%
- 4 stars18.76%
- 3 stars3.84%
- 2 stars0.91%
- 1 star0.75%
TOP REVIEWS FROM DATA ANALYSIS WITH PYTHON
by KRMay 8, 2021
I love the practicality of this course. It's not just learning theories but you actually follow along. You only need a good computer and you learn serious staff taught in the best way possible.
by WZNov 7, 2020
A great introduction to fitting data in python.
The core principles and measures are well explained.
The only slight minus point: No information about the interpretation of fitting parameters.
by LMMar 9, 2020
Very good course that goes straight to the main topics needed to work on data analysis using Python. This will kick start my learning process which will be followed with a lot of coding practices.
by VSJan 30, 2022
This is totally one of the hardest course I've ever taken on Coursera. It's packed with knowledge I did not know before. Definitely recommended for people who want to learn data analysis with Python.
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