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Data Science With Python Training Course in Delhi

Bytecode Security Provides Data Science With Python Training in Delhi with Data Science is an easy-to-learn and powerful programming language. This is one of the best reasons for beginners to learn Python. When you first start with python programming language and coding, you don’t want to start with a programming language that has tough syntax and weird rules, as compared to other programming languages. Python is both readable and simple. It is also easier to set up, you don’t need to deal with any class path problems like Java or compiler issues like C++.

What will you Learn in Data Science with Python

Data Science With Python Training Course in Delhi covers 27 comprehensive modules

  • Module 01: Python – An Introduction
  • Module 02: Comparisons of Python with Other Language
  • Module 03: Python Variables & Data Types
  • Module 04: Operators
  • Module 05: Python Conditional Statements
  • Module 06: Python Looping Concept
  • Module 07: Python Control Statements
  • Module 08: Python Data Type Casting
  • Module 09: Python Number
  • Module 10: Python String
  • Module 11: Python List
  • Module 12: Python Tuple
  • Module 13: Python Dictionary
  • Module 14: Python Array
  • Module 15: Python Date & Time
  • Module 16: File Handling (Input / Output)
  • Module 17: Multithreading
  • Module 18: Python Mail Sending Program
  • Module 19: Database Connection
  • Module 20: OOPs Concepts
  • Module 21: Interacting with Networks
  • Module 22: Graphical User Interface
  • Module 23: Python Web Scraping
  • Module 24: Python for Image Processing
  • Module 25: Python Data Science
  • Module 26: Intro with Python Matching Learning
  • Module 27: Intro with Python Artificial Intelligence

Data Science With Python Training and Certification

Bytecode Security offers Data Science With Python Training Course in Delhi, the most thorough Data Science course on the lookout, covering the total Data Science lifecycle ideas from Data Collection, Data Extraction, Data Cleansing, Data Exploration, Data Transformation, Feature Engineering, Data Integration, Data Mining, building Prediction models, Data Visualization and conveying the answer for the client.

Course Duration

  • Course Duration: 40 Hours
  • Course Level: Intermediate
  • Include: Training Certificate
  • Language: English, Hindi
  • Course Delivery: Classroom Training
  • Course pdf: Click here to Download

Data Science with Python Course Review

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Frequently Asked Questions

About Data Science with Python and Training and Certification Course in Delhi

Google Review(942)
5/5
On average it takes about 6-8 weeks to learn the basics. This gets you enough time to understand most lines of code in Python. If you want to become an expert in Python and its field and plan on getting into data science then months and years of learning is needed.
When data science is being mentioned, one programming language comes to everyone’s mind which is Python. Python’s immanent readability and lucidity has made it relatively easy to use, and the number of dedicated analytical libraries on it can be utilized easily when creating models in dealing with Data Science.
Python is not a dying programming language, it’s one of the fastest-growing programming languages. Python programs tend to have minimal templating that you might have seen in other languages. And have more natural constructs for typical tasks you might need to accomplish.

The winner of the Python 2 vs Python 3 battle is clearly Python 3. So, if you can choose which one to learn, choose that! With that being said, come and continue learning Python for Data Science.

Spyder has useful features for general Python development, but unless you work mainly with I Python and scientific computing packages, you’re probably better off with a different IDE. The biggest reason not to use Spyder as a general-purpose Python development environment isn’t the feature set, but the setup process.
Data scientists typically work on data for an entire company, which means scouring through thousands of transactions all at once. “Data science is more exciting and adventurous than stressful,” he says. “It is only stressful when you are working to pay bills, and not to solve real-world problems,” he adds.

Eligibility for the Data Science Course is You should have  pass out 12th class .In case You have completed graduation then your Aggregate marks should be at least 50%. You should have Better knowledge in Mathematics and statistics.

As we all know India  i the second highest country to hire the candidates for the Data Science and pay the premium salary to employees. If a candidate have completed the training and fully certified the he/she can get the at least Rs.500000 per annum.

There are some highest paying jobs in India :

  • Data Scientist
  • Data Analysist
  • Application Architect
  • Machine Learning Scientist
  • Machine Learning Engineer
  • Business Intelligence Analyst

Bytecode is the the best training center for the Data science with Python Training in Delhi. There is affordable fees for all the learner and after completion of the training you can do practice in same .

 

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Python Course Review

Bytecode Cyber Security Unit of Craw Security

Frequently Asked Questions

About Data Science with Python Training and Certification Course in Delhi

Normal python course cost start from 15k to 25k
When data science is being mentioned, one programming language comes to everyone’s mind which is Python. Python’s immanent readability and lucidity has made it relatively easy to use, and the number of dedicated analytical libraries on it can be utilized easily when creating models in dealing with Data Science.
Python is not a dying programming language, it’s one of the fastest-growing programming languages. Python programs tend to have minimal templating that you might have seen in other languages. And have more natural constructs for typical tasks you might need to accomplish.
The winner of the Python 2 vs Python 3 battle is clearly Python 3. So, if you can choose which one to learn, choose that! With that being said, come and continue learning Python for Data Science.
Spyder has useful features for general Python development, but unless you work mainly with I Python and scientific computing packages, you’re probably better off with a different IDE. The biggest reason not to use Spyder as a general-purpose Python development environment isn’t the feature set, but the setup process.
Data scientists typically work on data for an entire company, which means scouring through thousands of transactions all at once. “Data science is more exciting and adventurous than stressful,” he says. “It is only stressful when you are working to pay bills, and not to solve real-world problems,” he adds.
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