|Course or Certification Name||Category||Location||Mode of learning|
|The Complete Python 3 Course: Beginner to Advanced!||Data Science||Online self study|
|Vskills Certified Python Developer Government Certification||Emerging Web Technologies||Offline self study|
|XLRI Executive Program in Data Science using Python, R & Excel||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Python for Beginners - The Complete Course||Data Science||Online self study|
|Learn Python Programming Masterclass||Data Science||Online self study|
|The Top 5 Machine Learning Libraries in Python||Machine Learning||Online self study|
|Python Basics for Data Science||Data Science||Online self study|
|Machine Learning with Python Offered by IBM||Machine Learning||Online self study|
|AI Programming with Python||Machine Learning||Online self study|
|Introduction to Data Science using Python||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Machine Learning with Python Training||Machine Learning||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Data Science And Analysis: Make DataFrames in Pandas And Python||Data Science||Online self study|
|Data Visualization with Python: The Complete Guide||Data Visualization||Online self study|
|Clustering & Classification With Machine Learning in Python||Machine Learning||Online self study|
|Python Programming An Expert Guide on Python||Emerging Web Technologies||Online self study|
This program evaluates aspirants on developing applications based on Python language. Python Development certification checks professionals on several fields of developing i.e. Python based software development encompassing installation awareness, usage, syntax and semantics of the language. It is required to have fundamental awareness about Object Oriented Programming Principles as a pre requisite for this course.
Businesses today are trying to engage with data science in one form or another. Unfortunately, only a few have been able to even grasp the idea of what constitutes data science, let alone implement it usefully and profitably. This program introduces its participants to the world of data science. The objective is to strip away all the distractions around data science – codes, tools, etc., and teach the techniques using practical cases that can be understood and appreciated by someone with an elementary knowledge of mathematics. This program uses hands-on approach to data science where participants get to work with data sets to generate insights for businesses. | The objective of this program is to introduce participants to the world of data science. The purpose of this program is to strip away all the distractions around data science – codes, tools, etc., and teach the techniques using practical cases that can be understood and appreciated by someone with an elementary knowledge of mathematics.
Python for Beginners | Learn Python Programming with ease. Write your own Python Projects. Setup base for Python Advanced.| Python is one of the most popular programming languages. Python is concise and easy to read, and can be used for everything from web development to software development and scientific applications. | This training is a basic introduction to Python. By the end, you'll be familiar with Python syntax and you'll be able to put into practice what you'll have learned. | The curriculum covers in depth Python Variables, Operators, Number System, Strings, Lists, Tuples, Dictionary, Input Output Files, Date and Time, If else Statements, Loops and Functions | This course will provide a solid reference for those who are brand-new to Python. By the end of the course you can independently implement projects in Python.
This course is aimed at complete beginners who have never programmed before, as well as existing programmers who want to increase their career options by learning Python. | The fact is, Python is one of the most popular programming languages in the world – Huge companies like Google use it in mission critical applications like Google Search. | And Python is the number one language choice for machine learning, data science and artificial intelligence. To get those high paying jobs you need an expert knowledge of Python, and that’s what you will get from this course. | By the end of the course you’ll be able to apply in confidence for Python programming jobs. And yes, this applies even if you have never programmed before. With the right skills which you will learn in this course, you can become employable and valuable in the eyes of future employers.
A machine learning engineer is a person who builds predictive models, scores them and then puts them into production so that others in the company can consume or use their model. They are usually skilled programmers that have a solid background in data mining or other data related professions and they have learned predictive modeling. In this course, we are going to take a look at what machine learning engineers do. We are going to learn about the process of building supervised predictive models and build several using the most widely used programming language for machine learning: Python. There are literally hundreds of libraries we can import into Python that are machine learning related. A library is simply a group of code that lives outside the core language. We “import it” into our work space when we need to use its functionality. We can mix and match these libraries like Lego blocks.
This Python course provides a beginner-friendly introduction to Python for Data Science. Practice through lab exercises, and you'll be ready to create your first Python scripts on your own! | This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours. | Upon its completion, you'll be able to write your own Python scripts and perform basic hands-on data analysis using our Jupyter-based lab environment. If you want to learn Python from scratch, this course is for you.
This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. In this course, we will be reviewing two main components: | First, you will be learning about the purpose of Machine Learning and where it applies to the real world. | Second, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms.
Learn the essential foundations of AI: the programming tools (Python, NumPy, PyTorch), the math (calculus and linear algebra), and the key techniques of neural networks (gradient descent and backpropagation).
This course will the first data science course in a series of courses. Consider this course as a 101 level course, where I don't go too much deep into any particular statistical area, but rather just cover enough to raise your curiosity in the field of Data Science and Analytics.
Machine Learning with Python course discusses concepts of the Python language such as file operations, sequences, object-oriented concepts, etc. along with some of the most commonly leveraged Python libraries like Numpy, Pandas, Matplotlib, etc. The course will then move on to introduce learners to the detailed mechanisms of Machine Learning. Learners will understand in detail the significance of the implementation of Machine Learning in the Python programming language, and leverage this knowledge in their role as data scientists. | After completing the course, one would have learnt about tools to train machines based on real-world situations using Machine Learning algorithms, as well as to create complex algorithms based on concepts related to deep learning and neural networks. During the latter stage of the course, learners will be introduced to real-world use cases of Machine Learning with Python for a holistic learning experience which would prepare them to create applications efficiently.
This course is suitable for coding beginners because we begin with a complete introduction to coding. Then we delve deep into using pandas, an open source library with high-performance and easy-to-use data structures and data analysis tools written for Python.
The course will start at the very beginning helping you understand the importance of Data Science, along with becoming familiar with Matplotlib, Python’s very own visualization library. From there you will learn about the linear general statistics and data analysis. That’s not all, we’ll also cover important concepts such as data clustering, hypothesis gradient descent and advanced data visualizations. At the end of this course, you’ll have a working knowledge of data visualization using Python and you’ll also be able to build your own visualizations from scratch.
This course covers main aspect of practical data science and if you take this course, you can do away with taking other courses or buying books on Python based data science.This course will give you a robust grounding in the main aspects of machine learning- clustering & classification.
In this tutorial, you will be introduced to Python Version 3.x. You will learn the basic syntax using a hands-on approach. This guideline will not only familiarize you with the basics, but also it will demonstrate the Python IDE (Integrated Development Environment), for writing actual programs and learning how to debug them.