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.

About this Course
You should have a working knowledge of Python and Jupyter Notebooks.
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
You should have a working knowledge of Python and Jupyter Notebooks.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Start working towards your Bachelor's degree
Syllabus - What you will learn from this course
Importing Datasets
Data Wrangling
Exploratory Data Analysis
Model Development
Reviews
- 5 stars75.77%
- 4 stars18.74%
- 3 stars3.80%
- 2 stars0.91%
- 1 star0.75%
TOP REVIEWS FROM DATA ANALYSIS WITH PYTHON
Great introduction to data manipulation and analysis for common problems that arise in data science. Also allows you to gain a further understanding of Python syntax, specifically the pandas library.
Really interesting course, if one wants learn programming language. Well designed and structured. Only suggestion is, if the small videos contains example that be really great to understand it well
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.
Thank you very much to the instructors. I liked the course but it could have been better designed. More exercises ascending from easy to hard & real and teaching quiz questions would make it perfect.
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