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1st Step to Working with Big Data Using Python
Course Description
Python programmers are some of the most sought-after employees in the tech world, and Python itself is fast becoming one of the most popular programming languages. One of the best applications of Python however is data analysis; which also happens to be something that employers can't get enough of. Gaining skills in one or the other is a guaranteed way to boost your employability – but put the two together and you'll be unstoppable!
More and more people are realizing the vast benefits and uses of analyzing big data. However, the majority of people lack the skills and the time needed to understand this data in its original form. That's where data visualization comes in; creating easy to read, simple to understand graphs, charts and other visual representations of data. Python 3 and Matplotlib are the most easily accessible and efficient to use programs to do just this.
Become an expert data analyst with Python made simple
- Learn efficient python data analysis and python data mining
- Manipulate data sets quickly and easily
- Gain a skillset in Python that can be used for various other applications
- Visualize multiple forms of 2D and 3D graphs; line graphs, scatter plots, bar charts, etc.
Course Objectives
1. Data Analysis with Python and Pandas
2. Learn efficient python data analysis
3. Manipulate data sets quickly and easily
4. Master python data mining
5. Gain a skillset in Python that can be used for various other applications
6. Understanding Matplotlib and getting set up
7. Learning the different types of basic Matplotlib charts
8. Mastering the basic customization options for Matplotlib
9. Customizing ticks, add/remove & customize spines, styles with Matplotlib
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Content
Data Visualization - Course Introduction
Preview Available
Different types of basic Matplotlib charts
Preview Available
Basic Customization Options
Advanced Customization Options
Geographical Plotting with Basemap
3D graphing
Course Conclusion
Data Analysis - Introduction to the Course
Introduction to Pandas
IO Tools
Pandas Operations
Handling for Missing Data / Outliers
Combining Dataframes
Advanced Operations
Working with Databases
1st Step to Working with Big Data Using Python
- Duration 12 hr 9 mins
- Skill level All Levels
- Languages English
- Tag(s) Programming Language Development
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