How this works :
At Simplilearn, we greatly value the trust of our patrons. Our courses are designed to deliver an effective learning experience, and have helped over half a million find their professional calling. But if you feel your course is not to your liking, we offer a 7-day money-back guarantee. Just send us a refund request within 7 days of purchase, and we will refund 100% of your payment, no questions asked!
For Self-Paced Learning :
Raise refund request within 7 days of purchase of course. Money back guarantee is void if the participant has accessed more than 25% content.
For Instructor Led Training :
Raise refund request within 7 days of commencement of the first batch you are eligible to attend. Money back guarantee is void if the participant has accessed more than 25% content of an e-learning course or has attended Online Classrooms for more than 1 day.
What is Flexi Pass?
The achievement of Python lies in the fact that the trainers in the US now introduce computer science and programming using the language Python and not the long-renowned Java language. It is also estimated that Python has become a necessary skill to be mastered for 46% of data science jobs.
The Data Science with Python course in Bangalore gives a complete overview of Python language and explores the various packages and libraries of Python that are necessary to implement natural language processing, web scraping, data analysis, machine learning, and data analysis.
At the end of this Python for Data Science training course in Bangalore, candidates will be able to:
The Data Science with Python course in Bangalore comes with no prerequisite. Concerning the assistance for coding, there is an additional course on Python basics included in the main course.
The world of data Science has the capability of generating potential job opportunities for data scientists, specifically for professionals like:
The Python for Data Science certification course in Bangalore incorporates 4 industry-oriented, real-life projects. The candidates need to complete one out of the four projects as part of the course completion process. The project will then be accessed by our subject matter experts. The projects are listed below:
Project 1: NYC 311 Service Request Analysis
Telecommunication: Perform a service request data analysis of New York City 311 calls. You will focus on data wrangling techniques to understand patterns in the data and visualize the major complaint types.
Project 2: MovieLens Dataset Analysis
Engineering: The GroupLens Research Project is a research group in the Department of Computer Science and Engineering at the University of Minnesota. The researchers of this group are involved in several research projects in the fields of information filtering, collaborative filtering, and recommender systems. Here, we ask you to perform an analysis using the Exploratory Data Analysis technique for user datasets.
Project 3: Stock Market Data Analysis
Stock Market: As a part of this project, you will import data using Yahoo data reader from the following companies: Yahoo, Apple, Amazon, Microsoft, and Google. You will perform fundamental analytics, including plotting, closing price, plotting stock trade by volume, performing daily return analysis, and using pair plot to show the correlation between all of the stocks.
Project 4: Titanic Dataset Analysis
Hazard: On April 15, 1912, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This tragedy shocked the world and led to better safety regulations for ships. Here, we ask you to perform an analysis using the exploratory data analysis technique, in particular applying machine learning tools to predict which passengers survived the tragedy.
The candidates need to meet the following conditions to achieve the Data Scientist with Python Certification:
Note: it is necessary for the candidates to complete one project and clear the online exam with at least 60% passing score. After this, they will be awarded a three-month experience certificate for implementing the projects using Python and they will become a certified data scientist.
Alvaro is a Data Scientist who founded Quant Company and has also worked as a lead Economic analyst in the Central Bank of Guatemala. He is a M.S. in Quantitative Economics and Applied Mathematics and is actively involved in consulting and training in the data science space.
Prior to joining Data Science course with Simplilearn, I had little knowledge about it. The certification helped me to understand the Machine Learning, Web Scraping, Natural Language Processing in detail. The trainer was very helpful and was always there to guide me in every step. The certification helped me to enhance my career from Software Engineer to Associate Consultant with a salary hike. I am planning to take a few more course from Simplilearn in future.
Read more Read lessI have enrolled for Data Science certification from Simplilearn. The course materials are great and the trainers are also very helpful. The industry-based project is the best part of the course. Simplilearn is better than any others in the market.
Read more Read lessI had joined the Data Science certification from Simplilearn. The course content was really good. The trainer puts a lot of efforts into explaining every detail which made the learning very absorbing. The customer support is always available whenever you need help. I actually feel one step forward towards my goal. Thank you.
Read more Read lessSimplilearn's Data Science with Python training was a great experience. Their trainers are the best that I have come across since I started learning with Silplilearn. He is always prepared for class with a well-documented note session which is also useful for hands-on learning after class to enhance the learning experience. Thanks Simplilearn. This is the best platform that I have come across.
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It is estimated by PayScale that an average salary of Rs 606,409 is drawn by a Data Scientist in Bangalore. The number further improves for professionals undertaking a Data Science with Python program.
Bangalore provides the opportunity of roles like Statistical Analyst and Data Scientist IT/Retail within the Business Intelligence & Data Science domain.
Companies in Bangalore which are in continuous search for professionals proficient in Data Science & Business Intelligence are JP Morgan, Honest Bee, Accenture, Quaero, and Happiest Minds.
The system needs to have the following specifications to run Python:
Anaconda and Jupyter notebooks are used for the instructions. Their installation process is dealt with in the e-learning videos.
There are two training modes provided by Simplilearn for Python for Data Science course in Bangalore. They are:
Online Self-Learning: Pre-recorded videos are provided to the candidates and they can complete the course at their convenient learning pace.
Live Virtual Classroom or Online Classroom: Instructor-led online classes are provided that basically involves video conferencing. Candidates can attend the class via their desktop and enhance their learning experience.
All of the hands-on exercises are carried out in the open source environment called as WinPython portable distribution. During the training, its installation procedure will be explained in detail.
Yes, the candidate can cancel his enrollment if necessary. The amount after deduction of the administration fee will be refunded to the candidate. Read our Refund Policy to know more.
To achieve the data scientist with Python certificate, candidates are required to complete the course, get the completed project assessed, and pass the online exam with at least 80% passing score.
Yes, there are group discount packages available for the classroom training programs. Our support team can be contacted via the Help & Support to get the details.
Enrollment for the Data Science with Python online training in Bangalore requires completing an online payment via:
The payment receipt along with further information will be emailed to the candidates thereafter.
From class onboarding to project guidance and job assistance, the mentors of Simplilearn support the candidates throughout their course path. The mentors enrich the learning experience of the candidates and engage them so that they have a clear understanding of every topic covered in the course.
Teaching assistance is provided during business hours.
* The projects have been built leveraging real publicly available data-sets of the mentioned organizations.
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