COURSE CATEGORY
Data Science, Machine Learning and AI
DEVOPS
CLOUD COMPUTING
SOFTWARE DEVELOPMENT AND TESTING
IT SERVICE AND PROJECT MANAGEMENT
MOBILE & WEB DEVELOPMENT
CYBER SECURITY, NETWORKING & BLOCK CHAIN
DATABASES & BIG DATA
BUSINESS INTELLIGENCE
WINDOWS & VIRTUALIZATION
POPULAR COURSES
All Courses
Data Science, Machine Learning and AI
DEVOPS
CLOUD COMPUTING
SOFTWARE DEVELOPMENT AND TESTING
IT SERVICE AND PROJECT MANAGEMENT
MOBILE & WEB DEVELOPMENT
CYBER SECURITY, NETWORKING & BLOCK CHAIN
DATABASES & BIG DATA
BUSINESS INTELLIGENCE
WINDOWS & VIRTUALIZATION
This course will help you learn the python programming required for the data science. With this course you will master the skill of how python is deployed for data science, work with pandas library for data science, data visualization,machine learning etc., along with real time projects. * Introduction to Python for Data science * OOPs Concept , expressions and functions * Creating Pig & Hive UDF in python * Deploying Python for MapReduce Programming.
Build job-ready data science skills, Gain hands-on Python experience, Work on real-world data problems, Improve analytical thinking abilities, Enhance career growth opportunities, Learn industry-relevant tools and methods, Become confident in data-driven decisions
Basic computer knowledge, an interest in data analysis, and a willingness to learn Python are sufficient to get started. No prior data science experience is required.
Students, graduates, and professionals who want to start or grow a career in data science or analytics can enrol. No prior experience is required.
You will learn Python basics, data analysis, data visualisation, and introductory machine learning with practical projects.
Perfect course structure for beginners and working professionals.
Highly informative sessions with real-time examples.
“The training boosted my confidence and technical skills.”
