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Python is the preferred language for new technologies such as Data Science and Machine Learning.
Data Science and Analytics (DSA) job listings is projected to grow by nearly 364,000 listings in 2020 - IBM
According to the TIOBE index, Python is one of the most popular programming languages in the world.
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It's continued to be a favourite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built in debugger.
It runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
It has evolved as the most preferred Language for Data Analytics and the increasing search trends on Python also indicates that it is the " Next Big Thing " and a must for Professionals in the Data Analytics domain.
Watch Lesson 1 (Recorded)
Module 1: Introduction to Python
Python for Data Science Certification
Edureka’s Python for Data Science Professional Certificate Holders work at 1000s of companies like
edureka! is efficiently able to provide effective e-learning for Big Data. All the required material for learning is kept online in the Learning Management System (LMS) along with the recordings of class so that we can refer back any part of the class. Also, edureka! 24x7 support is very helping and prompt in its service. Thanks edureka! for providing great and effective way of learning.
I had a great experience in taking the Hadoop course from Edureka. It is the only course in the market which facilitates the people from the Non development background to plug themselves into the Hadoop ecosystem. Edureka has provided a unique opportunity for the students around the world to connect to some of the best tutors. The tutors not only provide a very good theoretical explanation , but also help us to co-relate it with some real time examples. This gives a edge to the students and the working professional who attend the course.The best advantage of the Edureka course is the fact that we can attend the course from the comfort of our home as well as download the courses and listen to it over again and again. I am sure that Edureka will be playing a key role in filling the Gap of the Professionals which the Cloud ecosystem is currently facing. Cheers,Vijay Kalkundri - Good Session and one of the best instructor to have interfaced with at online.
Knowledgeable Presenters, Professional Materials, Excellent Customer Support what else can a person ask for when acquiring a new skill or knowledge to enhance their career. Edureka true to its name is the place to gather garner and garden the knowledge for all around the globe. My Best wishes to Edureka's team for their upcoming bright future in E-Learning sector."
Very good learning experience. Training staff are really experienced. 24X7 Support is excellent,get response instantly. You can learn new advanced technologies from home with real-time scenarios. Easy for IT professionals to shift technologies. Great Edureka!!!
I have taken 3 courses (Hadoop development, Python and Spark) in last one year. It was an excellent learning experience, most of the instructors were very interactive and having extensive industry knowledge. The support team is highly professional, always ready to assist you and let you chose your classes based on your own availability. The Learning Management System(LMS) is great. and good thing is that you would get Lifetime access to all the course that you have registered. Apart from courses and instructors, Edureka support is excellent as they provide quick resolution to any issues(example VM setup. cluster connectivity issues and etc) . If you are looking for Big Data related courses then Edureka is the right place.
I took kafka and datascience classes with EDUREKA and its overall nice. After thorough scanning of available online courses, I decided to go with edureka and am quite satisfied with it. To start with the Sales and support team- they were fantastic- really fast and responsive. There was never any technical issue like audio/video/connectivity during the course which is good. The classes were very smooth.The instructors were really good and deliverd the course content very well. They had very good theoretical and practical knowledge of the respective courses. Great Job! Thanks for the learning experience! Keep it up!!!
Industry: Social Media
Problem Statement: You as ML expert have to do analysis and modeling to predict the number of shares of an article given the input parameters.
Actions to be performed:
Load the corresponding dataset. Perform data wrangling, visualization of the data and detect the outliers, if any. Use the plotly library in Python to draw useful insights out of data. Perform regression modeling on the dataset as well as decision tree regressor to achieve your Learning Objectives. Also, use scaling processes, PCA along with boosting techniques to optimize your model to the fullest.
Problem Statement: You as an ML expert have to cluster the countries based on various sales data provided to you across years.
Actions to be performed:
You have to apply an unsupervised learning technique like K means or Hierarchical clustering so as to get the final solution. But before that, you have to bring the exports (in tons) of all countries down to the same scale across years. Plus, as this solution needs to be repeatable you will have to do PCA so as to get the principal components which explain the max variance.
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