
Data Analysis with Python
Learn how to analyze data using Python. Discover how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, and predict future trends from data.
Build your competence in this critical skill and kick-start your career in data science.
Data Analysis with Python Highlights
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Duration
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Fee US$ 99 - US$ 199 |
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Duration
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Fee US$ 99 - US$ 199 |
Course Outline
Earn your certificate
Once you have completed this course, you will earn your certificate.
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Course details
Certificate
- FutureSkills Prime Certificate of Participation
- IBM Certificate
About this course
- 05 Modules
- 06 Skills
Includes
- Discussion Space
- 05 Hands-on labs
- 05 Graded quizzes

Create
- Analyzing and prediction model
Exercises to explore
- Importing data sets
- Data wrangling
- Exploratory data analysis
- Model development
- Model evaluation and refinement
Want to know more?
Get a Free ConsultationYou'll learn with these experts
Joseph Santarcangelo
- PhD., Data Scientist at IBM
- View on LinkedIn
FAQs
Python is a very effective tool for data analysis at every stage of the process. It is particularly useful because the Python libraries were for general use and are available for download. According to Python documentation, data mining, data processing, and modelling, as well as data visualization, are the most common ways in which Python is used for data analysis.
There are 5 modules in Data Analysis with Python.
Yes, you will receive a Certificate of Completion once you have successfully completed this course.
Data Analysis with Python is an online course. It is self-paced and can be completed at a pace that suits you. You will therefore need a good connection to the internet in order to be able to access the course materials. The contents for this course will be available through your dashboard as soon as you have enrolled. You will not be required to attend any classes in person to obtain the course materials.
In contrast to scheduled live sessions or webinars, self-paced courses do not follow a predetermined timetable. If you work through the modules and complete the course by the deadline, you are free to work at your own pace; you are not required to work at a particular pace.
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