Search result for Data science team management Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 518 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Introduction to Data Science
by Alex Aklson- 0.0
-
![]()
![]()
![]()
![]()
![]()
6 Weeks
Learn about the world of data science first-hand from real data scientists. Since then, people working in data science have carved out a unique and distinct field for the work they do. Definition of data science and what data scientists do The role of data science within a business How to form a strong data science team...
$39
The Product Management for AI & Data Science Course 2021
by 365 Careers- 4.5
-
![]()
![]()
![]()
![]()
![]()
5 hours on-demand video
Even if you are new to data science and AI or if you don’t have prior product management experience, we will bring you up to speed in the first few chapters. You will learn how to manage data science and AI teams, and how to improve communication between team members. Distinguish between data analysis and data science...
$9.99
The Complete Data Science Project Management Course
by HiTech Squad- 3.5
-
![]()
![]()
![]()
![]()
![]()
1.5 hours on-demand video
Learn step by step Data Science Project Management through CRISP-DM industry standard data mining methodology This course is to enable learners to successfully manage a data science project. The project explains inputs and outputs of all activities helping effective project management of a data science project. However, there are several other activities that are part of any Data Science project....
$11.99
Big Data Modeling and Management Systems
by Ilkay Altintas , Amarnath Gupta- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 13 hours to complete
In this course, you will experience various data genres and management tools appropriate for each. * Differentiate between a traditional Database Management System and a Big Data Management System * Appreciate why there are so many data management systems Introduction to Big Data Modeling and Management Designing a Big Data Management System for an Online Game...
Disaster Risk Management and Korean Policies
by Sohn, Hong-Gyoo- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 19 hours to complete
Throught this, students will be able to explain not only what is disaster risk management but also what must be done for a disaster resilent future. Disaster Risk Management Disaster Risk Management Disaster Risk Management Science and Technology for Disaster Risk Management Practice of SFDRR Indicator using Korean Statistical Data Practice of SFDRR Indicator using Korean Statistical Data...
Data Manipulation at Scale: Systems and Algorithms
by Bill Howe- 4.3
-
![]()
![]()
![]()
![]()
![]()
Approx. 20 hours to complete
The abstractions that emerged in the last decade blend ideas from parallel databases, distributed systems, and programming languages to create a new class of scalable data analytics platforms that form the foundation for data science at realistic scales. Describe common patterns, challenges, and approaches associated with data science projects, and what makes them different from projects in related fields....
Foundations of Data Science: K-Means Clustering in Python
by Dr Matthew Yee-King , Dr Betty Fyn-Sydney , Dr Jamie A Ward , Dr Larisa Soldatova- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 29 hours to complete
Organisations all around the world are using data to predict behaviours and extract valuable real-world insights to inform decisions. This MOOC, designed by an academic team from Goldsmiths, University of London, will quickly introduce you to the core concepts of Data Science to prepare you for intermediate and advanced Data Science courses. Introduction to Data Science...
Related searches
Advanced R Programming
by Roger D. Peng, PhD , Brooke Anderson- 4.3
-
![]()
![]()
![]()
![]()
![]()
Approx. 18 hours to complete
This course covers advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Because every data science environment encounters unique data challenges, there is always a need to develop custom software specific to your organization’s mission. Reuse existing data structures...
A Crash Course in Data Science
by Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 7 hours to complete
By now you have definitely heard about data science and big data. How to describe the role data science plays in various contexts How statistics, machine learning, and software engineering play a role in data science How to describe the structure of a data science project How to identify a successful and an unsuccessful data science project...
The R Programming Environment
by Roger D. Peng, PhD , Brooke Anderson- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 27 hours to complete
This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. Whether you are part of a data science team or working individually within a community of developers, this course will give you the knowledge of R needed to make useful contributions in those settings....
Previous
