Programming for Everybody (Getting Started with Python)
Description: The course aims to teach everyone the basics of programming computers using Python. In this we cover the basics of how one constructs a program from a series of simple instructions in Python. The course has no pre-requisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course. Learning Outcome: Variables, Conditional execution (if statements), Repeated execution / looping (for statements), Functions and code reuse. Platform: edX Institution: University of Michigan Course Level: Newbie Duration: 7 Weeks Domain: Programming Price: Freemium
Python Basics for Data Science
Description: A beginner-friendly introduction to Python for Data Science. Learning Outcome: Python Basics, Python Data Structures, Python Programming Fundamentals, Working with Data in Python, Working with Numpy Arrays, Learn IBM Watson Studio. Platform: edX Institution: IBM Course Level: Newbie Duration: 5 Weeks Domain: Data Science Price: Freemium
Introduction to Computer Science and Programming Using Python
Description: This course is the first of a two-course sequence: Introduction to Computer Science and Programming Using Python, and Introduction to Computational Thinking and Data Science. Together, they are designed to help people with no prior exposure to computer science or programming learn to think computationally and write programs to tackle useful problems. Some of the people taking the two courses will use them as a stepping stone to more advanced computer science courses, but for many it will be their first and last computer science courses. Learning Outcome: A Notion of computation, Python programming, Algorithms, Testing and debugging, Introduction to algorithmic complexity, Data structures. Platform: edX Institution: Massachusetts Institute of Technology Course Level: Newbie Duration: 9 Weeks Domain: Programming Price: Freemium
CS50’s Introduction to Artificial Intelligence with Python
Description: Explore the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. Learning Outcome: Graph search algorithms, Adversarial search, Knowledge representation, Logical inference, Probability theory, Bayesian networks, Markov models, Constraint satisfaction, Machine learning, Reinforcement learning, Neural networks, Natural language processing. Platform: edX Institution: Harvard University Course Level: Newbie Duration: 7 Weeks Domain: Artificial Intelligence Price: Freemium
NLP using Python Training
Description: Natural Language Processing with Python course will take you through the essentials of text processing all the way up to classifying texts using Machine Learning algorithms. You will learn various concepts such as Tokenization, Stemming, Lemmatization, POS tagging, Named Entity Recognition, Syntax Tree Parsing and so on using Python’s most famous NLTK package. Once you delve into NLP, you will learn to build your own text classifier using the NaΓ―ve Bayes algorithm. Platform: Edureka Course Level: Newbie Duration: 2 Months Domain: Artificial Intelligence Paid/Free: Paid
Python Programming Certification Course
Description: Python Programming Certification Course will help you master important Python programming concepts such as Data Operations, File Operations, Object-Oriented concepts, and various Python libraries such as Pandas, Numpy, Matplotlib and many more. You will learn Data Visualization and techniques to deal with different types of data – ordinal, categorical, encoding. This course makes you industry-ready by working on real-life case-studies and equipping you with relevant concepts. Platform: Edureka Course Level: Newbie Duration: 2 Months Domain: Data Science Paid/Free: Paid
Python Scripting Certification Training
Description: Python Scripting allows programmers to build applications easily and rapidly. This course is an introduction to Python scripting, which focuses on the concepts of Python. It will help you to perform operations on variable types using Pycharm. You will learn the importance of Python in real time environment and will be able to develop applications based on Object-Oriented Programming concept. End of this course, you will be able to develop networking applications with suitable GUI. Platform: Edureka Course Level: Newbie Duration: 2 Months Domain: Programming & Frameworks Paid/Free: Paid
Python Spark Certification Training using PySpark
Description: PySpark Certification Training is designed to provide you the knowledge and skills that are required to become a successful Spark Developer using Python and prepare you for the Cloudera Hadoop and Spark Developer Certification Exam (CCA175). Throughout the PySpark Training, you will get an in-depth knowledge of Apache Spark and the Spark Ecosystem, which includes Spark RDD, Spark SQL, Spark MLlib and Spark Streaming. You will also get comprehensive knowledge of Python Programming language, HDFS, Sqoop, Flume, Spark GraphX and Messaging System such as Kafka. Platform: Edureka Course Level: Newbie Duration: 2 Months Domain: Programming & Frameworks Paid/Free: Paid
Mastering Python
Description: Data Science using Python programming certification course enables you to learn data science concepts from scratch. This Python Course will also help you master important Python programming concepts such as data operations, file operations, object-oriented programming and various Python libraries such as Pandas, Numpy, Matplotlib which are essential for Data Science. Edureka’s Python Certification Training course is also a gateway towards your Data Science career. Platform: Edureka Course Level: Newbie Duration: 2 Months Domain: Python Paid/Free: Paid
Machine Learning Using Python
Description: Machine Learning Certification Training using Python helps you gain experienced professionalsise in various machine learning algorithms such as regression, clustering, decision trees, random forest, NaΓ―ve Bayes and Q-Learning. This Machine Learning using Python Training exposes you to concepts of Statistics, Time Series and different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. Throughout the Data Science Certification Course, you’ll be solving real-life case studies on Media, Healthcare, Social Media, Aviation, HR. Platform: Edureka Course Level: Newbie Duration: 2 Months Domain: Artificial Intelligence Paid/Free: Paid
