Computational Thinking and Data Science
Think like a Computer Scientist !!
Classes : 72 Days : 1 year Duration : Weekdays / Weekends
It is a foundational skill in computer science. Computational thinking is a versatile and powerful approach to problem-solving that can be applied to a wide range of disciplines and everyday situations. It involves decomposing problems, recognizing patterns, abstracting essential details, and developing algorithms to devise effective solutions. It aims to help students, regardless of their Engg major, to feel justifiable confident of their ability to write small programs that allow them to accomplish useful goals. The training will use Python programming language.
Course Format:
The course will be delivered through a combination of lectures, interactive discussions, case studies, and practical exercises.
-Participants will have access to online resources, including reading materials and videos.
-Guest speakers from the industry may be invited to share insights and experiences.
-Regular assessments and quizzes will be conducted to reinforce learning.
Trainers:
Equipped with a multidisciplinary background, Experts from the field of Maths, Financial Markets, Data Science and Management, each with over 25 years of International experience working in EU/US/Australia
Who this training is for:
- Engineers and Managers
- Under-Graduate Students
- Post-Graduate Students
- Govt officers and Executives who need Computational Thinking upskilling
- Domain experts who want to develop an overall understanding of Computational Thinking
- Managers who need to understand how they can link data to business value through data analytics
- Anyone who wants to understand the fundamentals of Computational Thinking and Data Science
- Students who want to add Computer Scientist capabilities to their curricular
This course structure balances theoretical understanding with practical application, preparing students for real-world data science challenges.
By the end of this training, participants will be able to:
- Understand and apply the core concepts of computational thinking
- Gain proficiency in data science methodologies and tools
- Develop problem-solving skills using computational methods
- Learn to manipulate, analyze, and visualize data effectively
- Apply computational thinking and data science techniques to real-world problems
-Candidate must hold a Bachelors degree with Maths discipline. Students can also apply.
-Candidate is familiar with SQL, Statistics and Python
-Intro to Python
-Optimization Problems
-Three A's and Four R's
-Graph-Theory Models
-Stochastic Models
-Random Models
-Monte Carlo Simulation
-Confidence Interval
-Sampling & Standard Error
-Understanding Experimental Data
-Intro to Machine Learning
-Unsupervised Machine Learning Clustering Algorithms
-Supervised Machine Learning Regression Techniques
-Supervised Machine Learning Classification Techniques
-Intro to PowerBI
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Student Reviews
Bhawana
Fabulous NLP + ML course
I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.
Harish
Excellent ML course!
The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.