This Course will take you to an introduction to python, installation steps of python and the use of Python for statistical data analysis, data Management, data Visualization and, using data stored as Pandas Data Frame objects.
Before analyzing the data it involves Data preparation work like importing data, cleaning and transforming data. Therefore, the course is comprised of a 2-part, overview of basic and intermediate Pandas, demonstrating how effectively a panda manipulates datasets in memory. You will have hands on experience on indexing, alignment, join/merge methods, date/time types, and handling of missing data.
Another part of this course will cover plotting and visualization using Pandas and Matplotlib, focusing on creating effective visual representations of your data, statistical data modeling using some of the advanced functions in Numpy, Scipy and Pandas.
Who should learn python for the data Science Course?
If you are working in the data Analytics field, using tools SAS, R, Excel and planning to add new skills in your portfolio, you can put-on. Any Data scientists, statisticians, software engineers who need to use Python for data analytics, including web scraping, pulling data, data cleaning, data prep and data analysis also learn this course.
What is the Prerequisite to learn python for data science?
Basically python is easy to learn scripting language, so any newcomer can learn this course. It will be added advantage, if you have basic programming knowledge or command line scripting.
How this course is conducted at GITS Academy?
This course is conducted in a classroom at the Institute and online Instructor led for 25hrs. During course. Classroom Course at the Institute– classes are conducted on weekends. Each session is conducted for 4 hrs Saturday and Sundays. For online training you can choose your own timings, depending upon the availability of the trainer batches will be assigned. Course participants will be given access to a private discussion board.