Python for Data Analysis and Visualization
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Course Description
Why Should you learn Python?
The Python programming language is currently fuelling scientific programming, but this wasn’t always the case. For years academic scholars and private researchers were using the MATLAB language for scientific research. That all started to change with the release of Python numerical computation engines such as NumPy. allowing complex calculations to be done by a single “import” statement followed by a function call.
Slowly but surely, Python started to take over as the preferred language for data analytics and machine learning. Python is the future of Artificial Intelligence.
Given the flexibility of the language, its speed, and the machine learning functionality, we’ll continue to see Python dominate the machine learning landscape.
What is covered in this course?
This course is the complete guide to take you from a beginner in Python to an expert in data analysis and visualization.
Overview of Python
Installing and Starting Python
Writing your first Python program
Variables, Keywords and Data Types
Operators and Expressions
Built in Functions
List, dictionary, tuple and set data type
Flow control statements
File Input and Output (I/O)
Object oriented programming
Errors and Exception handling
Regular Expressions in Python (RegEx)
NumPy
Pandas
Matplotlib
Why learn from us?
Save your time and your money with us by using the exact training courses that have been used to equip over 1000 beginners with Python skills that they can apply to their day-to-day jobs.
Leverage our real-world understanding and experience, with instruction from analytics experts who have built their careers applying statistics to real business problems on a day-to-day basis.
Develop your skills in Data Analytics & Data Science with our expanding range of high quality programs, that equip you with the real-world skills needed to succeed in the workplace of the future.
