RiseUpp Logo
ABOUT US
RiseUpp Logo
Programming for Data Science
Educator Logo

Powered by

Provider Logo

Completion

CERTIFICATE

Programming for Data Science

This course is part of Big Data.

Course Cost

₹ 17,286

Beginner

Skill Level

10 Weeks

Self-paced lessons

This comprehensive course introduces students to programming fundamentals and data science concepts through practical, hands-on learning. Using Processing as the primary tool, students develop essential coding skills while learning data visualization, algorithm design, and computational thinking. The course covers key programming concepts including data selection, iteration, functional decomposition, and data abstraction. Through problem-based assignments working with real-world datasets, students gain practical experience in solving data science challenges and understanding big data applications.

4.2

50,187 Enrolled

Nick Falkner

Nick Falkner

​Claudia Szabo

​Claudia Szabo

English

Powered by

Provider Logo

4.2

50,187 Enrolled

English

Nick Falkner

Nick Falkner

​Claudia Szabo

​Claudia Szabo

What you'll learn

  • Master fundamental programming concepts and syntax

  • Develop skills in data analysis and visualization using Processing

  • Learn algorithm design and computational thinking principles

  • Understand data abstraction and organization techniques

  • Gain practical experience with real-world datasets

  • Develop problem-solving skills for data science challenges

Skills you'll gain

Programming
Data Analysis
Algorithm Design
Data Visualization
Processing Language
Computational Thinking
Big Data
Data Structures
Problem Solving
Code Testing

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

Educator Logo

PROVIDED BY

Provider Logo
Certificate
Certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

Educator Logo

PROVIDED BY

Provider Logo

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.

icon-0icon-1icon-2icon-3icon-4

There are 10 modules in this course

The course provides a foundation in programming and data science through hands-on learning with Processing. Students learn essential programming concepts including data visualization, algorithm design, and computational thinking. The curriculum progresses from basic coding principles to advanced topics like data abstraction and organization. Through practical assignments and real-world datasets, participants develop skills in solving data science problems and understanding big data applications.

Creative code - Computational thinking

Module 1

Building blocks - Breaking it down and building it up

Module 2

Repetition - Creating and recognising patterns

Module 3

Choice - Which path to follow

Module 4

Repetition - Going further

Module 5

Testing and Debugging

Module 6

Arranging our data

Module 7

Functions - Reusable code

Module 8

Data Science in practice

Module 9

Where next?

Module 10

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: Big Data

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.

Nick Falkner

2

Courses

Nick Falkner serves as Associate Professor in the School of Computer Science at the University of Adelaide, where he has established himself as an award-winning educator and researcher in computer science education and network systems. After earning his PhD, he has built an impressive career combining educational innovation with technical research in network topology, blockchain technologies, and the Internet of Things. His research spans multiple areas including information management, network security, privacy preservation, and educational strategies focused on student motivation and retention. As a recognized leader in learning and teaching, he pioneered new approaches to course delivery and assessment while conducting groundbreaking research into social networks' role in forming strong learning communities. His work has garnered over 4,500 citations, with significant contributions to the Internet Topology Zoo and puzzle-based learning approaches. Through his leadership in computer science education, he continues to develop innovative teaching methods that emphasize time management, motivation, and supportive learning environments while maintaining active research in network systems and information management.
​Claudia Szabo

1

Course

Claudia Szabo serves as Associate Head of Learning and Teaching in the School of Computer and Mathematical Sciences at the University of Adelaide, where she has progressed from Associate Lecturer to Associate Professor since 2011. After earning her PhD in Computer Science from the National University of Singapore and earlier education from the University POLITEHNICA of Bucharest, she has built an impressive career combining systems research with educational innovation. Her research spans complex systems, cloud computing, and model-driven engineering, with over 3,700 citations reflecting her significant impact in the field. Her educational research focuses on curriculum design, cognitive load theories, and software engineering best practices, contributing to groundbreaking work in introductory programming education and gender equity in computer science. As Program Manager of Incubate Adelaide and through various leadership roles, she has championed innovative approaches to computer science education while maintaining active research in distributed systems and performance anomaly detection. Her work bridges theoretical computer systems research with practical educational applications, particularly in understanding component interactions and system-wide behavior.
Katrina Falkner

1

Course

Katrina Falkner serves as Executive Dean of the Faculty of Sciences, Engineering and Technology at the University of Adelaide, where she has revolutionized computer science education through innovative research and leadership. After establishing the Computer Science Education Research Group (CSER), she has secured over $26 million in government and industry funding to support research and community initiatives focused on addressing educational inequities and technology access. Her work includes leading the CSER Digital Technologies Education Program, which has supported over 45,000 teachers across Australia through MOOCs and professional development. Her collaborations span major organizations including Google, DST Group, and the Department of Education and Training. Her achievements have earned numerous accolades including the EdTechSA Leader of the Year, the Australian Computing Society Gold Award, and the CORE John Hughes Distinguished Service Award. As Chair of the University's Transforming Culture Initiative and Fellow of the Australian Academy of Technological Sciences and Engineering, she continues to champion diversity in STEM while advancing computer science education through innovative approaches to online learning and collaborative pedagogy.
Programming for Data Science

Beginner

Skill Level

10 Weeks

Self-paced lessons

Course Cost

₹ 17,286

Completion

CERTIFICATE

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.