Python Programming

Python Course & Training for Data Science in Kolkata

Master Python for Data Science in Kolkata. Our comprehensive course offers hands-on training, covering essential Python skills for effective data analysis. Elevate your expertise and unlock the potential of data science. Enroll now to excel in the dynamic realm of Python for Data Science.

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12th May, 2024

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Python Course in Kolkata

 

Are you looking for a comprehensive Python Course for Data Science Training in Kolkata? Look no further! Python is a powerful and flexible open-source language that is widely used for data management and analytics. In this instructor-led live training course, you will learn how to harness the power of Python’s libraries for data analytics.

 

Our career-focused, live, and interactive Python training Course in Kolkata is designed to help you gain the practical skills and in-depth knowledge needed to succeed in the field of data science. The course covers both basic and advanced topics, including writing Python programs, data types, error handling in Python, and the use of popular libraries such as Pandas and Numpy for data analytics.

 

You will also learn how to use Matplotlib and Seaborn for data visualization, as well as data management techniques, data science applications, and machine learning algorithms using Python. The course is led by expert instructors who have years of experience in data science and analytics.

 

At Data Brio Academy, we understand that hands-on experience is crucial for mastering Python and data science. That’s why our training includes practical exercises and real-world projects that allow you to apply what you’ve learned to practical scenarios. By the end of the course, you will have a strong foundation in Python for data science, as well as the practical skills needed to succeed in this rapidly growing field.

 

So why wait? Join our Python Course for Data Science in Kolkata today and take the first step towards a successful career in data science!

 

Why Data Brio Academy?

Who should take this course?

Key Features of Python Training Programme

Training and Placement

Upon finishing our Python programming certification program, participants will receive support in the form of assignments, projects, and placement assistance. Our placement team will assist in building resumes, conducting mock interviews, and providing one-on-one discussions to better understand job descriptions during interview calls. This process allows participants to reflect on their readiness and understand their capability to improve their chances of success. With our support, participants can attend interviews with confidence and increase their chances of successful placements. Our past students have been successfully placed in various renowned companies.. Students Successfully Placed in Companies:

Accredition & Affiliation

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Python Programming Course Curriculum

Python Fundamentals 

  • Getting, installing & navigating the software
  • Anaconda IDE, Spider, Pycharm, Googlecolab
  • Statements and comments
  • Input, Output and Import
  • Python operators
  • Variables & expressions

Python Advanced 

  • Conditionals
  • Functions – new and built-in function
  • Flow Control – If – Else, For loop, while loop etc.
  • Break & control
  • Python numbers
  • Python list, Tuple, String
  • Set, Dictionary
  • Conversion between data types
  • String operations, Files
  • Modules, Packages
  • Dataframes
  • Object and Class
  • Troubleshooting and error handling

Python for Data Science 

  • Data Management, Visualization and Basic analytics using libraries – Pandas, Numpy, Scipy, Scikitlearn, Matplotlib, Seaborn, Plotly etc.
  • Descriptive statistics
  • Linear Regression including interactions and indicator variables
  • Machine learning algorithms in python – Classification & Logistic regression
  • Clustering
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Our Certificates

Gain Industry-Recognized Certificates in Python Programming

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Our Placements

Our certified professionals, mentored by experts and connected to top employers, are shaping the future of data science at leading MNCs.

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