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Since Python is Highly popular among MNCs, it is easy to find relevant job opportunities in Kolkata.
According to Naukri, 500+ Python jobs available in Kolkata.
Companies hiring python developers in Kolkata are IBM, Pwc SDC, Accenture, Cognizant and many more.
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With Edureka’s Python Certification Training in Kolkata, you will get hands-on experience in programming. We offer live-instructor led sessions which will help you in mastering the concepts involved in Python. With Edureka’s Python training in Kolkata, you will learn the essential concepts of Python programming such as Data Structure, Data types, Strings, tuples, lists, basic operators and functions, GUIs, Multi-threading, Data Manipulation, Expressions, Networking, Lambda expressions and much more. Also, Gain a thorough knowledge of Python OOPS concepts, modules Extensive coverage of Django Framework Database programming and connectivity to multiple data sources.
Python is a common high-level, open-source programming language with a broad spectrum of apps for games and web applications in automation, big data, data science, information analytics development. It's a versatile, powerful, object-oriented and interpreted language. Python is regarded to be a programming language with the greatest amount of work possibilities Researchers have named Python 'the next large thing' as it is preferred by many young and experienced designers and is a heavily paid skill among all programming languages in the IT space. Edureka’s Python certification course in Kolkata provides an extensive Python Course training to assist you to master basics, sophisticated theoretical ideas such as writing scripts, sequence and file procedures in Python while gaining practical experience with functional apps as the training is combined with hands-on tasks and live projects.
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
I have been using Edureka for learning different topics related to Big Data -Hadoop, PIG, HIVE, Cassandra. I am very happy with the training and the help they are providing and I feel better than another online training where I registered for Cassandra. One of great thing is we can download the videos and references for later use, I use these in my commute to work (usually spend 2.5 hrs in train). Thank you for being flexible and proving great opportunity to learn cutting edge technologies - Cheers
Experience with Edureka is world class. I took 2 courses Informatica PowerCenter 9.x and Tableau Certification Training. I feel both the courses had extremely knowledgeable instructors, professional course delivery, recorded classes, great customer support and the access to needed tools at the comfort of your time and place (home). I have not seen such a value for money for anywhere in the world. I will keep taking many many courses with Edureka! Thank you for your help I am able to increase my billing rate and subject level expertise."
Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best.
Edureka has redefined the e-learning service with the help of technology. They have excellent faculty and support team that has given a real class room learning experience. Anybody can upgrade their skills at their convenience! Edureka has expertise in Big Data Analytics and they are providing opportunity to acquire these skills in a short time!
My experience with edureka about Python is much impressed, with such quality of the training. We get access to each day class recorded sessions after the live class. Edureka is very quick reactive towards the queries of each single user, they answer and follow-up to ensure you get the correct response to resolve your query. Online recording of the course is very useful as you can go back and refer at any time. You have access to course and materials for ever, which is really helpful. More over 24/7 quality support, which is very much important to any of us. I must thank to Edureka for giving such support. Thanks guys, cheerÃ¢â¬Â¦
I would like to recommend any one who wants to be a Data Scientist just one place: Edureka. Explanations are clean, clear, easy to understand. Their support team works very well such any time you have an issue they reply and help you solving the issue. I took the Data Science course and I'm going to take Machine Learning with Mahout and then Big Data and Hadoop and after that since I'm still hungry I will take the Python class and so on because for me Edureka is the place to learn, people are really kind, every question receives the right answer. Thank you Edureka to make me a Data Scientist.
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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