Data Science with Python

The Data Science with Python course has been designed to provide in-depth knowledge of the various libraries and packages that are required to perform data analysis, data visualization, web scraping, machine learning, and natural language processing using Python. The data science with python course is based on live projects, demonstrations, assignments, and case studies to provide hands-on as well as practical experience to the aspirants. Moreover, the course insights on PROC SQL and other statistical procedures such as PROC MEANS, PROC FREQ, etc. along with the advanced analytics techniques to have a clear vision of decision tree, regression, and clustering

Who Should Attend? 

• The Analytics professionals, who are willing to work with Python 
• The Software professionals, who are looking to switch their career to the Analytics field 
• IT professionals interested in pursuing a career in analytics 
• The Graduates, looking forward to building their career in the Analytics and Data Science 
• The Experienced professionals, who would like to harness the data science in their fields 
• Anyone, who has a genuine interest in the field of Data Science

Course Outcomes 

After completing this course you should be able to: 

• Perform scientific and technical computing using SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave. 
• Perform data analysis and manipulation using data structures and tools provided in Pandas package 
• Gain an in-depth understanding of supervised learning and unsupervised learning models like linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline 
• Use Scikit-Learn package for natural language processing 
• How to use the matplotlib library of Python for data visualization 
• Extract useful data from websites by performing web scraping using Python 
• Integrate Python with Hadoop, Spark, and MapReduce