Search result for Data structures and algorithm analysis Online Courses & Certifications
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Bayesian Statistics: Techniques and Models
by Matthew HeinerTop Instructor- 4.8
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Approx. 30 hours to complete
It builds on the course Bayesian Statistics: From Concept to Data Analysis, which introduces Bayesian methods through use of simple conjugate models. The lectures provide some of the basic mathematical development, explanations of the statistical modeling process, and a few basic modeling techniques commonly used by statisticians. Count data and hierarchical modeling...
Data Structures and Algorithms: In-Depth using Python
by Syed Mohiuddin- 4.3
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34.5 hours on-demand video
Understand, Learn and Implement Data Structures in Python This course will help you in better understanding of the basics of Data Structures and how algorithms are implemented in high-level programming language. This course is like having personal tutors to teach you about data structures and algorithms. Each of the specific algorithms and data structures is divided into two sections....
$12.99
Advanced Algorithmics and Graph Theory with Python
by Vincent Gripon , Patrick Meyer , Nicolas Farrugia , Carlos Eduardo Rosar Kos Lassance- 0.0
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6 Weeks
Strengthen your skills in algorithmics and graph theory, and gain experience in programming in Python along the way. Algorithmics and programming are fundamental skills for engineering students, data scientists and analysts, computer hobbyists or developers. This coursehas received financial support from the Patrick and Lina Drahi Foundation. How to choose the appropriate algorithm to solve the given computational problem...
$49
Basics of Scientific Visualization in Mathematical Modeling of Systems
by Andrei Borziak , Vladimir Shargatov- 0.0
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4 Weeks
A successful study of the course forms a holistic view of mathematical modeling algorithms and data structures for object description and the ability to use them in professional activity. An algorithm for dynamic programming in various problems is considered. • Interaction with image files and basics of image processing • Algorithms of graph moving and search in text...
$49
Fundamentals of Pandas
by SmartBase Analytics- 4
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1.5 hours on-demand video
Gain proficiency using the Python Pandas library for data analysis. Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language Pandas provides a powerful and comprehensive toolset for working with data, including tools for reading and writing diverse files, data cleaning and wrangling, analysis and modeling, and visualization....
$12.99
Data Analytics Foundations for Accountancy I
by Robert Brunner- 4.3
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Approx. 66 hours to complete
Welcome to Data Analytics Foundations for Accountancy I! You’re joining thousands of learners currently enrolled in the course. I'm excited to have you in the class and look forward to your contributions to the learning community. The Importance of Data Analytics in Modern Accountancy Python Data Structures Module 3: Introduction to Data Analysis Module 4: Statistical Data Analysis...
Advanced Algorithms and Complexity
by Alexander S. Kulikov , Michael Levin , Daniel M Kane , Neil Rhodes- 4.6
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Approx. 27 hours to complete
You've learned the basic algorithms now and are ready to step into the area of more complex problems and algorithms to solve them. Advanced algorithms build upon basic ones and use new ideas. The Ford–Fulkerson Algorithm The Edmonds–Karp Algorithm Slides and Resources on Flows in Networks The Simplex Algorithm (Optional) The Ellipsoid Algorithm...
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50 popular coding interview problems
by Inside Code- 4.6
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8 hours on-demand video
Improve your skills in algorithms, data structures and complexity analysis with 50 challenging coding interview problems Many algorithms concepts covered: dynamic programming, divide and conquer, memoization, backtracking. And many data structures used: arrays, hashmaps, sets, trees, stacks. And also, time and space complexity analysis is provided for every problem!...
$12.99
Analyze Datasets and Train ML Models using AutoML
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.6
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Approx. 14 hours to complete
In the first course of the Practical Data Science Specialization, you will learn foundational concepts for exploratory data analysis (EDA), automated machine learning (AutoML), and text classification algorithms. Practical Data Science Use case and data set Data ingestion and exploration Data visualization Week 2: Data Bias and Feature Importance Use cases and algorithms...
Unsupervised Learning
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 9 hours to complete
You will learn how to find insights from data sets that do not have a target or labeled variable. To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....
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