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Data science with python

Data Scientists discover trends from the data that can alter the future trajectory of a company; they help decision makers gather and gain insights based on the past. Data Science is becoming mission-critical for businesses and the demand for data scientists has been on a steady upslope. In short, they're the future of business decision-making, and they're desperately in demand. The curriculum is designed by taking inputs from industry and aims to develop skills required to land in Data Science
Machine Learning With Python

Artificial intelligence (AI) is a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. It refers to the simulation of a human brain function by machines. The program is designed to help you learn the foundation of Artificial Intelligence concepts including the essentials of Python Programming and Machine Learning enabling the real-world implementation of advanced tools and models. The need for AI specialists exists in just about every field as companies seek to give computers the ability to think, learn and adapt. There is an increasing need for intelligent and accurate decision-making across industries. This has led to an exponential growth in the adoption of ML technologies, and they are expected to remain relevant in years to come.
Python Programming

Kickstart your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher. This introduction to Python course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn about Python basics and the different data types. You will familiarize yourself with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching. You will use Python libraries such as Pandas, Numpy & Beautiful Soup. This course is suitable for anyone who wants to learn Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps as well as a number of other job roles.