Search result for Data structures and algorithms course Online Courses & Certifications
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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 Introduction to the Course JupyterHub Server Python Data Structures...
Django Features and Libraries
by Charles Russell Severance- 4.8
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Approx. 16 hours to complete
You will learn about cookies, sessions, and authentication processes in Django. You will build navigation into your applications and explore ways to easily improve the look and feel of Django applications. Course Pre-Requisites Cookies and Sessions Users and Authentication Creating and Managing Users in Django Login and Logout URLs in Django Many-To-Many Data Models for Courses and Membership...
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. • Basics and approaches in program prototype development for dynamic script execution and image comparison • Dynamic programming algorithms in various problems • Algorithms of graph moving and search in text...
$49
Python Classes and Inheritance
by Steve Oney , Paul Resnick- 4.7
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Approx. 17 hours to complete
This course introduces classes, instances, and inheritance. You will learn how to use classes to represent data in concise and natural ways. It is optional to have taken the "Data Collection and Processing with Python" course (course 3 of the specialization), but knowledge of retrieving and processing complex nested data is helpful....
Business Analytics Executive Overview
by Douglas B. Laney- 4.6
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Approx. 17 hours to complete
Businesses run on data, and data offers little value without analytics. The course will also touch on analytic technologies, architectures, and roles from business intelligence to data science, and from data warehouses to data lakes. Lecture 1-5-3 Where to Put the Data and How to Get it There? Lecture 4-3-4 A Data Science and AI Ethical Code of Conduct...
Excel/VBA for Creative Problem Solving, Part 1
by Charlie NuttelmanTop Instructor- 4.8
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Approx. 18 hours to complete
This course is the first part of a three-part series and Specialization that focuses on the application of computing techniques in Excel/VBA to solve problems. Declaration of variables, data types, and scope of variables Implementing targeting and optimization algorithms in VBA subroutines Course wrap-up and I'd love to see what you are doing with VBA!...
Interventions and Calibration
by Nimalan Arinaminpathy- 4.6
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Approx. 24 hours to complete
It is important to consider basic relationships between models and data, so, using the basic SIR model you have developed in course 1, you will calibrate this model to epidemic data. Confronting Models with Data - Part A Relationships Between Models and Data Identify the relationship between models and real-world epidemiological data...
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People Analytics
by Cade Massey , Martine Haas , Matthew Bidwell- 4.5
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Approx. 9 hours to complete
They’ll explain how data and sophisticated analysis is brought to bear on people-related issues, such as recruiting, performance evaluation, leadership, hiring and promotion, job design, compensation, and collaboration. This course is an introduction to the theory of people analytics, and is not intended to prepare learners to perform complex talent management data analysis. Course Outline and Overview...
Laboratorio di Programmazione
by Marco Lapegna- 0.0
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7 Weeks
You will learn how to select the best methodology for your project, how to develop and analyze basic algorithms for scientific calculation, and how to use the main calculation tools (hardware e software). Language of algorithms Data structures and control structures How to translate algorithms into programmes (Linux, C and Foltran)...
$60
Data Processing and Feature Engineering with MATLAB
by Adam Filion , Michael Reardon , Maria Gavilan-Alfonso , Brandon Armstrong , Heather Gorr , Erin Byrne , Brian Buechel , Isaac Bruss , Matt Rich , Nikola Trica , Cris LaPierre- 4.7
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Approx. 18 hours to complete
This intermediate-level course is useful to anyone who needs to combine data from multiple sources or times and has an interest in modeling. Throughout the course, you will merge data from different data sets and handle common scenarios, such as missing data. Overview of Data Processing and Feature Engineering Data and Code Files...
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