Powered by
Completion
CERTIFICATE
Python Basics for Data Science
This course is part of multiple programs. Learn more.
Course Cost
₹ 8,670
Intermediate
Skill Level
3 Weeks
Self-paced Video lessons
This comprehensive course introduces Python programming with a focus on data science applications. Students will progress from basic Python concepts to hands-on data analysis using Jupyter notebooks. The course covers fundamental programming concepts, data structures, file handling, and popular libraries like Pandas and Numpy. With IBM Watson Studio integration, learners gain practical experience in data visualization and analysis. The course emphasizes hands-on learning through lab exercises, preparing students to create their own Python scripts and perform basic data analysis. Suitable for beginners, it provides a solid foundation in Python programming while focusing on real-world data science applications.
4.4
8,07,971 Enrolled
English
What you'll learn
Learn Python programming fundamentals and syntax for data science applications
Master essential data structures and basic algorithms in Python
Work with popular data science libraries including Pandas and Numpy
Develop proficiency in using Jupyter notebooks for code development
Gain hands-on experience in data analysis and visualization
Learn to access and manipulate data using APIs and web scraping techniques
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
Closed caption
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 5 modules in this course
This comprehensive Python course is designed for beginners entering the field of data science. The curriculum covers Python fundamentals, data structures, programming concepts, and practical data analysis tools. Students learn to work with popular libraries like Pandas and Numpy, use Jupyter notebooks for development, and handle data through file operations and APIs. The course emphasizes hands-on learning through lab exercises, enabling students to write their own Python scripts and perform basic data analysis. Integration with IBM Watson Studio provides real-world experience in data visualization and analysis.
Python Basics
Module 1
Python Data Structures
Module 2
Python Programming Fundamentals
Module 3
Working with Data in Python
Module 4
Working with Numpy Arrays
Module 5
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: IBM Data Science Professional Certificate, DevOps and Software Engineering, Data Engineering, Python Data Science, Data Engineering Fundamentals, Data Analyst Professional Certificate, IBM Applied AI Developer, Generative AI Engineering, Full Stack Application Development, Full Stack Developer
Reviews
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
4.9
18,630
Reviews
17,12,849
Students
33
Courses
Dr. Joseph Santarcangelo, a Data Scientist at IBM, brings a unique blend of academic excellence and practical expertise to the field of data science and artificial intelligence. With a Ph.D. in Electrical Engineering, his groundbreaking research focused on the intersection of machine learning, signal processing, and computer vision to understand how video content influences human cognitive processes. At IBM, he has established himself as a prominent educator and course developer, creating comprehensive learning materials that have reached hundreds of thousands of students worldwide. His teaching portfolio encompasses a wide range of technical subjects, from foundational Python programming to advanced topics in artificial intelligence, machine learning, and computer vision. Santarcangelo's ability to translate complex technical concepts into accessible learning experiences has made him an influential figure in data science education, maintaining consistently high ratings from learners while continuing to push the boundaries of applied machine learning and artificial intelligence research.
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.