What you'll learn

• Describe what data science and machine learning are, their applications & use cases, and various types of tasks performed by data scientists.
• Develop the skillset like a data scientist, and follow a methodology to tackle different types of data science problems.
• Gain hands-on familiarity with common data science tools including JupyterLab, Jupyter Notebook, GitHub and Many more.
• Learn a fundamental understanding of the Python programming language.
• Acquire the pre-requisite Python skills to move into specific branches - Machine Learning, Data Science, AI etc.
• Acquire pre-requisite Python skills and understanding to apply for Python programming jobs.

 

Pre requisite

• Require basic knowledge of Python.
• Require basic knowledge of Statistics.

Requirements

• A computer - Windows, Mac, and Linux are all supported. Setup and installation instructions are included for each platform.
• Your enthusiasm to learn Data Science. It’s a valuable lifetime skill which you can’t un-learn!

 

Who this course is for:

• Individuals with a bachelor’s degree and a keen interest to learn AI and Data Science

• IT professionals looking for a career transition as Data Scientists and Artificial Intelligence Engineers

• Professionals aiming to move ahead in their IT career

• Artificial Intelligence and Business Intelligence professionals

• Developers and Project Managers

• Freshers who aspire to build their career in the field of Artificial Intelligence and Data Science

Description

• Learn from the Developer
• Designed for Senior Working Professionals
• 2+ Projects
• 50+ Hours of Learning
• Job Placement Assistance and guidance
• Interview question

This Specialization will introduce you to what data science is and what data scientists do. You’ll discover the applicability of data science across fields, and learn how data analysis can help you make data driven decisions. You’ll find that you can kickstart your career path in the field without prior knowledge of computer science or programming languages: this Specialization will give you the foundation you need for more advanced learning to support your career goals.

 

You’ll grasp concepts like big data, statistical analysis, and relational databases, and gain familiarity with various open source tools and data science programs used by data scientists, like Jupyter Notebooks, GitHub, and SQL. You'll complete hands-on labs and projects to learn the methodology involved in tackling data science problems and apply your newly acquired skills and knowledge to real world data sets.