An overview of Python Training program

Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. Python Training not only focuses on fundamentals of Python, Statistics, Machine Learning and Spark but also helps one gain expertise on applied Data Science at scale using Python. The training is a step by step guide to Python and Data Science with extensive hands on. Python course will also cover both basic and advanced concepts of Python like writing Python scripts, sequence and file operations in Python. You will use libraries like pandas, matplotlib, scikit and master the concepts like Python machine learning, scripts, sequence, web scraping and big data analytics leveraging Apache Spark. During this training program, you will:

• Write Python scripts, unit test code
• Learn techniques to deal with different types of data – ordinal, categorical, encoding
• Programmatically download and analyze data
• Apply machine learning techniques and algorithms over data
• Understand different types of Machine Learning problems and related data
• Learn data visualization
• Learn feature engineering techniques like PCA
• Ascertain accuracy of predictions using RMSE, Log Loss, AUC, Cross Validation
• Compare algorithms and improve accuracy
• Using IPython notebooks, master the art of presenting step by step data analysis.

There is a huge demand for skilled data scientists and machine learning with Python professionals across all industries that make this program suited for participants at all levels of experience. The training program is appropriate for the following professionals:

• Programmers, Developers,
• Business Analysts
• Data Scientists & Data Analyst
• Project Managers
• Business Intelligence Manager
• Statisticians and Analysts

Why learn Python?

It's continued to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built in debugger.

It runs on Windows, Linux/Unix, and Mac OS and has been ported to Java and.NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.

It has evolved as the most preferred Language for Data Analytics and the increasing search trends on Python also indicates that it is the "Next Big Thing " and a must for Professionals in the Data Analytics domain.

The author is an IT professional at Multisoft Systems having years of experience in the IT industry.