Free Data Science Course: The pandas package is the most important tool at the disposal of Data Scientists and Analysts working in Python today. The powerful machine learning and glamorous visualization tools may get all the attention, but pandas is the backbone of most data projects.
In this free premium certification candidates will have Hands-on with Pandas. Hands-on / Practical with various datasets like: stock /share data, weather data etc. The details to enroll in this free course have been explained in this article.
Free Data Science Course:
What all is needed to enroll in this course:
- Python language
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Course Description:
The following topics are covered:
- What is Data Science
- How to get (real) stock data , how to plot data in Jupyter
- SQL and MySQL interaction using Pandas
- read csv file and do various operations. Stocks data is considered as example
- write csv file and associated operations
- Handling missing data,
- Data filtering / Wrangling using Pandas
- Group by support in Pandas
- Concat support in Pandas
- Merge of Dataframes
- Pivot Table support in Pandas
- Stack / Unstack support in Pandas
- Reshape with Pandas
- Cross Tab with Pandas
- excel support
What all this course make you learn:
- The students will learn what is DataScience, how to do data processing using Pandas (with Python)
Who all can enroll in this course:
- Beginner Python developers, Data Science students, Students who have some exposure to data analytics
This course includes the following:
- Candidates are provided with a 3.5 hours on-demand video
- 11 downloadable resources
- Full lifetime access of the course is provided
- All the candidates will be provided Access on mobile and TV
- Certificate of completion will be given
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How to Enroll For Free Data Science Course?
To enroll for Free Data Science Course you may sign up on Udemy.com and then they must log in there. Kindly put the coupon code mentioned below to avail this course for free.
- Sign Up on Udemy.com
- To Join this course : Click Here
Apply Coupon Code: SMTDSC2OCT
**Note: Free coupon/offer may expire soon.**
For other free course please Click here
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