Python tops the charts as one of the fastest growing programming languages. The huge demand for Data Scientists with Python skills is consequently rapidly growing.
Commanding an average salary of $122,338 per year, Data Scientists are much sought after across several industries. By the end of the hands-on Python for Data Science course, you will have acquired the skills to apply the many functions and libraries in Python to analyze, extract, manipulate and visualize data—skills that are much valued across industries.
Understand Python language fundamentals, including basic syntax, variables, and types
Learn different data structures. Create and manipulate regular Python lists, tuple and more
Learn about using control, loops statements and other conditional statements
User defined function, object-oriented writing of classes/objects, use functions, import packages
Learn to use Pandas to manipulate and analyse datasets to extract actionable insights
Use various Python libraries to visualize data. Create and customize plots on real data.
Immersive hands-on training: hands-on exercises, group discussions, assignments, intensive QnA.
Ask questions, get clarifications, and engage in discussions with instructors and other participants.
Get mentored by industry practitioners with more than 10 years of experience on average.
Don’t gain just theoretical or practical knowledge. Understand the What, Why, and How of a subject.
Get reviews and timely feedback on your assignments and projects from professional developers.
We emphasize on learning the concepts through examples and help you build a portfolio of projects.
Free lifetime enrolment into any of the upcoming batches to help you refresh the concepts.
Designed with care by industry experts to ensure the latest trends are captured in the curriculum.
Leverage interactive sessions and immersive learning platform to enhance your skills remotely.
Learn basics of Python, the basic data types, strings, and regular expressions.
Learn String and Regular Expressions to make sense of unstructured text.
Learn about the Data structures that are commonly used in Python.
Learn about the different types of loops and control statements in Python.
Write defined functions in Python, learn about the Lambda function and the object-oriented way of writing classes and objects.
Learn OOPs to code easily and efficiently, and to construct classes and define objects.
Learn how to import datasets into Python and write output into files from Python.
Learn how to transform raw data using Pandas library and generate insights from your data.
Use a variety of measurements to better understand your data and identify patterns.
Master the various tools used in Python for Data Visualization.
Learn to understand missing value treatment methods.
Use the opportunity to work on fun projects during the program followed by two production-grade capstone projects at the end. Each project is based on real-world scenarios and carried-out under the guidance of industry experts. You will go about it the same way you would execute a project in the real business world.
Zeolearn is on a mission to help organizations transform their workforce and prepare for the future of work. We aim to enable our clients to build self-organizing and high-performing teams through world-class workshops, while building in-house leadership, talent, culture, and sustainable multiple practices and capabilities with the help of our Training, Coaching and Consulting engagements.
The Python for Data Science course is designed to help you become a skilled Data Scientist and bag attractive roles in top tech companies. This course will enable you to:
Through the Python for Data Science course, you’ll learn all the fundamentals of Python and be able to implement Python for data research and analysis.
Python programmers are highly in demand. By the end of this course, you’ll have job-ready skills to showcase through real-world projects.
Yes, you’ll be able to take up the Python for Data Science course even as a novice. This program covers topics from the fundamental to advanced levels.
Yes, our Python for Data Science course offers enough flexibility to learn according to your convenience. We have hands-on exercises, real-world case studies, live projects and more to help professionals gain practical skills.
Apart from training hours, you should spend around two hours every day to study and practice to achieve the best results from the course.
There are no prerequisites to attend this course. Possessing elementary programming knowledge will be beneficial to take maximum advantage of the course.
On completing this course, you’ll get a certificate of completion along with all the necessary skills that would help you pursue a rewarding career in Data Science.
The Python for Data Science workshop at Zeolearn is delivered through a learning experience platform, using live and interactive instructor-led training sessions.
You’ll be able to listen, learn, ask questions, and get all your doubts clarified from your instructor.
This course is delivered industry-recognized experts with over 10 years of experience in Data Science and Python. The instructors will not only impart conceptual knowledge but end-to-end mentorship too, with hands-on guidance on the real-world projects.
Our class time is dedicated to fun hands-on exercises, lively discussions, case studies and team collaboration, all facilitated by an instructor with industry expertise. This structure helps us deliver an applied learning experience. This structure has worked well with thousands of engineers, whom we have helped upskill, over the years.
All our Python for Data Science workshops are currently held online. So, anyone with a fast internet connection can attend from anywhere across the world.
Schedules for our upcoming workshops in Python for Data Science can be found here.
We use the Zoom platform for video conferencing. All the sessions and recordings will be available right from within our learning platform. Learners will not be required to install any additional software.
Yes, there will other participants in the class who will participate in the class.
If you miss a class, you can access the class recordings from our online learning platform at any time. At the start of every session, there will be a 10–12-minute recapitulation of the previous class.
Yes, with our 100% Satisfaction Guarantee policy, you are assured of the highest standards of quality. If for some reason your expectations are not met, we will refund the course fee in accordance with our 100% Satisfaction Guarantee policy.
Yes, you can change the start date to your Python for Data Science training, with a prior notice of at least 24 hours and subject to availability in the desired batch.
Yes, scholarships are available for students and veterans with grants up to 50% of the course fees.
To avail scholarships for our Python for Data Science course, please get in touch with us at email@example.com. The team shall send across the forms and instructions to you. Based upon the responses and answers that we receive, our panel of experts take a decision on the Grant. The entire process could take about 7 to 15 days.
Yes, instalment options are available for payment of course fee. To avail the instalment option, please get in touch with us at firstname.lastname@example.org. The team will explain how the instalments work and provide timelines for your case.
Usually, the number of instalments vary from 2 to 3, but the full amount must be paid before you complete the course.