Mon-Fri 9am to 6pm CST
From 0 to 1: Data Structures & Algorithms in Java
This course has been designed with great attention and by a team of experts who have tons of experience in thinking about these topics and using them in their day-to-day tasks at Google, Microsoft and Flipkart.
Self-Paced
Learning Style
Course
Learning Style
Intermediate
Difficulty
15 Hours
Course Duration
Course Info
Certificate
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9:00 AM - 5:00 PM CST
Duration - 0 Days -
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This course has been designed with great attention and by a team of experts who have tons of experience in thinking about these topics and using them in their day-to-day tasks at Google, Microsoft and Flipkart.
Course Information
About this course:
This is an effective method which uses animated, visuospatial way to get training in data structures and algorithms.
- Our brain has a way of processing information with respect to their type – evolution has made us process information as effectively as we can when it is visuospatial i.e. when we close our eyes and see it.
- Hence, in order to learn on the concepts of data structures and algorithms, this method is the best to use. These topics are learnt best visually, and almost impossible to learn in any other way.
- This course has been designed with great attention and by a team of experts who have tons of experience in thinking about these topics and using them in their day-to-day tasks at Google, Microsoft and Flipkart.
Learning objectives:
The course has the following learning objectives:
- Big-O notation and complexity
- Heaps
- Stacks
- Linked lists
- Searching
- Queues
- Graphs and graph algorithms
- Trees
- Sorting
Audience:
This course is best suitable for those computer science and engineering grads who intend to gain expertise in visualizing data structures, and internalize their way of working. This course is also useful for the experienced software engineers who want to go through the foundational concepts of this field again and refresh their knowledge.
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Outline
More Information
| Subjects | App Development |
|---|---|
| Lab Access | No |
| Learning Style | Self-Paced Learning |
| Learning Type | Course |
| Difficulty | Intermediate |
| Course Duration | 15 Hours |
| Language | English |
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Course Expert:
Tom Robertson
(Data Science Enthusiast)
Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.
Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.
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