Data Science with Python Training Course

Get ready to excel in your career with our Data Science with Python Training Course. This comprehensive program covers everything from the basics to advanced techniques, making it perfect for both beginners and experienced professionals.

Data Science with Python Training Course

The Python-based Data Science Training program offered by Educationnest is designed to equip you with a comprehensive understanding of key data science concepts and analytical techniques. The program aims to enhance your proficiency in working with various data science packages, including Numpy, Matplotlib, Pandas, Scikit, and deep learning algorithms, as well as statistical data analysis techniques and data visualization. With the help of practical projects and use cases, you will have the opportunity to apply these tools effectively, making you an expert in this field. This course is an excellent starting point for those seeking to launch their careers in the rapidly growing domain of data science.

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23,596+

Students

4+ Hours

Of Content

Live Q&A

Group Sessions

100%

Refund Policy

About Data Science with Python Training Course

The Educationnest Data Science with Python Training program provides a comprehensive understanding of the core concepts of data science and analytical techniques using the Python language. Our training is specifically designed to enhance your skills and make you proficient in working with various data science packages in Python, such as Numpy, Matplotlib, Pandas, Scikit, deep learning algorithms, machine learning model evaluation, data visualization, statistical data analysis techniques, and more. Through practical projects and use cases, you will have the opportunity to apply these concepts and tools effectively, enabling you to become an expert in this field. This course is an excellent starting point for those looking to launch their careers in the rapidly growing domain of data science.

Premium Experience

Pre-recorded content

16+ hours of video lectures and recorded Q&A sessions at your convenience.

Course community channel

Be a part of an exclusive community and learn with your fellow learners.

Notes and frameworks

Summary notes and frameworks available for quick reference and recap.

Lifetime access

Access the course at any time and unlock free access to all future course upgrades.

14-day Refund Policy

Full refund within 14 days if you don't like the course, no questions asked.

Course certificate

Earn a certificate of completion to showcase your commitment.

Course Curriculum

Upon completing this course, students will have gained a deep understanding of the subject matter, equipped with practical skills and knowledge relevant to their field. They will be able to apply what they’ve learned to real-world scenarios, demonstrating their expertise through hands-on projects and exercises. Additionally, students will receive a certificate that validates their proficiency and can enhance their career prospects. Our comprehensive training ensures that graduates are well-prepared to tackle industry challenges and advance in their professional journey.

  1. - Installation of Python
  2. - Basics of Python
  3. - Functions and operators
  4. - Conditional Constructs
  5. - Loops
  6. - List, Tuples, and Dictionaries
  7. - Functions and Exceptions
  8. - Classes in Python
  9. - Packages and Directories
  10. - Working on Files
  11. - Project - Guess a Number
  12. - Rock Paper Scissor Game
  13. - Hangman Game
  14. - Excel and Python
  15. - Creating a website - for Grocery store using Django
  16. - Creating a website - for Grocery store using Django (How to use Database)
  17. - Creating a website - for Grocery store using Django (Use of bootstrap)
  18. - Adding More Functionalities to the Website (Part-1)
  19. - Adding More Functionalities to the Website (Part-2)

  1. - Introduction of Beginner game
  2. - Installation of Tools
  3. - Pygame basics and its program setup
  4. - Drawing primitives and Blit functions

  1. - Introduction to Project
  2. - Accepting user inputs and Its Code
  3. - Image Transformation
  4. - Image Coding
  5. - Font
  6. - Cursor
  7. - Move Image
  8. - Move and Control object

  1. - Introduction to Project
  2. - Downloading and Installation
  3. - Checking Output

  1. - Intro to Project on Linear Regression in Python
  2. - Getting Started
  3. - Boxplot

  1. - Introduction of Project
  2. - Face Detection Image
  3. - Face Detection URL
  4. - Face Video and Webcam
  5. - Face-Smile and Eyes

Data Science with Python Training Course FAQs

Explore our Frequently Asked Questions to find quick answers and helpful information about our Training Course.

Your credentials to access the course will be delivered to your inbox within 5-10 minutes of your purchase. Please check your promotions/updates tab and spam folder as well.

The course is self-paced and will require approximately 16 hours.

The course is available in both English and Hindi. You can choose to buy the English version or the Hindi dubbed version of the course.

Yes. You will join a community of like-minded enthusiasts wherein you can share your doubts and connect with more people.

No. It is a pre-recorded course that you can use for life after purchase.