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 stars75.81%
- 4 stars18.70%
- 3 stars3.79%
- 2 stars0.92%
- 1 star0.76%
TOP REVIEWS FROM DATA ANALYSIS WITH PYTHON
Most of what you'll learn in this package are fundamentals to other knowledge areas. So, practice both in and out of the course.
I appreciate the coordinators in making it possible. Thank you.
AN excellent course. Hands-on training on the cloud makes an individual really involved. So far the best online course I have ever taken, and I have learned Python programming a lot from this course.
Data analysis with python has a high standard of content.I hope this is useful for me to crack DS interviews.The content is well structured.Quizzes,assignment and video lectures are corelated.
Good course, sometimes moves a bit fast in the final modules and the labs are quite tough but great course and would recommend to broaden your knowledge of coding, data analysis and visualisation
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