Python for Data Science

  • Start from zero
  • Learn the concepts
  • Develop Python for Data Science project(s) from scratch
  • Earn smart certificate & showcase skills
  • Batch size of 10 or lower
Next batch starts from 24 Nov!

What you'll receive
  • Python for Data Science tutorials
    Python for Data Science course

    Get course schedule & learn from experts

  • Learn and build your Python project from home safely
    Online Class

    Learn and build your project from home safely

  • Build your Python Project and showcase your practical skills to the world
    Smart Certificate

    Showcase your practical skills to the world

  • Clear your doubts on Python project through dedicated 1-1 sessions
    1-1 Expert Support

    Clear your doubts in dedicated 1-1 sessions

What you'll develop
  • Working Python project
    Working Python project

    Impress your interviewers, teachers and friends

  • Develop technical skills by building Python project
    Skills

    Not a 'paper engineer'. Be a real, practical engineer

  • Build portfolio by building Python projects
    Portfolio

    Projects portfolio. Not bunch of certificates.

  • Grab the best jobs and higher education opportunities by building Python projects
    A Career

    Grab the best jobs and higher education opportunities

Why develop this Python for Data Science project?

Python is the programming language favored by most programmers because of its easy approach and simplicity.
Data is the most valuable thing right now and this created a huge requirement for data scientists.
Python is one of the most widely used languages for Data Science, Machine Learning and Data Visualization. In this course, you will learn to work with python to understand the work that a data scientist goes through in day to day life.

Python for Data Science Thumbnail
What you'll learn in this course

In this course, you will learn the basics of Data Science and how Python is used in it. You will learn how to work with data and with various libraries used in data science. You will also learn about data manipulation, data cleaning, plotting graphs etc. You will also get a clear understanding of various machine learning models.

By enrolling into this course you will learn:

  1. Introduction to Python Programming
  2. Concepts of Data Science
  3. Working with Numpy, Matplotlib, scikit-learn libraries
  4. Machine Learning & Visualization
How can you develop this Python for Data Science?
1) Enroll

Complete enrollment to get the schedule of live classes

2) Learn

You will learn directly from experts 1-1 through online live classes

3) Build

You will use the software & online live training to develop the projects

4) Submit assignment

Complete the course and submit your assignment to get your certificate

Get Started Now
Why wait?
Start learning for free

Signup and try our first few chapters free of cost!
Pay only when you like it.

Have a group?
Enroll together. Pay less
Team of 5 $44 /student
Team of 4 $47 /student
Team of 3 $51 /student
Team of 2 $59 /student
Team of 1 $84 /student

You can also add friends later

Want in your institute?
Organize a Workshop

Our experts will visit your college/ school/ office with the kits and conduct an awesome hands-on workshop.

Learning will not be more fun than this!

Frequently Asked Questions about Python project

How to build the Python for Data Science project?

Schedule of live classes will be sent to you within 24 Hours upon enrollment. You will use the software & learn directly from our experts in live classes to develop the Python for Data Science Project.


How much time do I have to complete the Python project?

You need to attend 10 live sessions to learn the concepts and build projects. Each live session lasts for 2 Hours.


Can my friends build along with me?

Ofcourse, and we strongly encourage that. The course is fun and learning is more effective when you work together, learn together and build together!

  • A team can have maximum of 5 members.
  • All team members will get separate logins and certificate.

Am I eligible for this course?

Anybody interested in learning python programming can enroll into this course. This course is also suitable for students who are interested in Machine Learning and Data Science.


Who will clarify my doubts?

During the live classes, you can clarify your doubts with our experts. Since they are live sessions, you can ask as many questions as needed any number of times!


When will the classes be scheduled?

Once you complete enrollment, your mentor will reach out to you regarding the live classes schedule. Generally the live classes will be scheduled during the evenings and weekends.


What if I miss a live class?

Since it is a live class, even if you miss it you can attend the same class in the next available slot or you can refer to the recorded session sent after each live class.


Why should I choose Skyfi Labs?

Skyfi Labs, a venture by IIT Kanpur alumni, was founded with a motive to make learning by building projects super easy for students all across the globe. Training 2,50,000+ students across 30+ countries, Skyfi Labs got prestigious awards like 2nd Best Business Venture Award, Ideas, IIT Kanpur | 30 Most Promising Startups, Next Big Idea, IIM Bangalore | Runner-up, UnLtd India Growth Challenge etc. Our courses have also been in the curriculum of IIT Delhi for the last 5 years. With such an experience, you can be rest assured that you will get quality project training from Skyfi Labs.
If you still dont like it, dont worry. We offer 100% refund if you apply within 3 days of receiving the course access.


How can I contact Skyfi Labs?

Please feel free to contact us in case of any queries. Email: info@skyfilabs.com, Toll-free: 18001237177 (10AM - 8PM; Mon - Sat)
We prefer email contact as that can be replied by the right expert who can answer your question!


What is included in the fee?

The fee you pay includes:

  • Course content
  • Charges for the technical support

Upon payment, we will also provide you with a tax invoice for the above mentioned.

Any more questions?