Search result for Coursera data science courses Online Courses & Certifications
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Applied Data Science for Data Analysts
by Kevin Coyle , Mark Roepke , Emma Freeman- 4.2
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Approx. 16 hours to complete
In this course, you will develop your data science skills while solving real-world problems. NOTE: This is the third and final course in the Data Science with Databricks for Data Analysts Coursera specialization. These courses are: Apache Spark for Data Analysts and Data Science Fundamentals for Data Analysts. Data Science Process vs....
IBM Data Science Professional Certificate
- 0.0
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Kickstart your career in data science & ML. Build data science skills, learn Python & SQL, analyze & visualize data, build machine learning models. Upon successfully completing these courses, you will have built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in data science....
Calculus and Optimization for Machine Learning
by Anton Savostianov- 4
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Approx. 32 hours to complete
Hi! Our course aims to provide necessary background in Calculus sufficient for up-following Data Science courses. This Course is part of HSE University Master of Data Science degree program. Learn more about the admission into the program and how your Coursera work can be leveraged if accepted into the program here https://inlnk....
Digital Marketing Analytics in Practice
by Kevin Hartman- 4.5
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Approx. 20 hours to complete
This course introduces students to the science of web analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide the foundation needed to apply data analytics to real-world challenges marketers confront daily. Data, Data Everywhere Storytelling with Data Understand approaches to visualizing data effectively...
Digital Marketing Analytics in Theory
by Kevin Hartman- 4.5
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Approx. 20 hours to complete
This course introduces students to the science of web analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide the foundation needed to apply data analytics to real-world challenges marketers confront daily. The Art and Science Mind The Rise of Modern Data Analytics...
Building a Data Science Team
by Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD- 4.5
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Approx. 6 hours to complete
Data science is a team sport. As a data science executive it is your job to recruit, organize, and manage the team to success. How the data science team relates to other teams in an organization What are the expected qualifications of different data science team members How to guide data science teams to success...
Algorithms for Searching, Sorting, and Indexing
by Sriram Sankaranarayanan- 4.6
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Approx. 34 hours to complete
This course covers basics of algorithm design and analysis, as well as algorithms for sorting arrays, data structures such as priority queues, hash functions, and applications such as Bloom filters. Algorithms for Searching, Sorting, and Indexing can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform....
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Managing, Describing, and Analyzing Data
by Wendy Martin- 4.4
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Approx. 17 hours to complete
In this course, you will learn the basics of understanding the data you have and why correctly classifying data is the first step to making correct decisions. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform....
Fundamentals of Scalable Data Science
by Romeo Kienzler- 4.3
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Approx. 20 hours to complete
This is the first course of a series of courses towards the IBM Advanced Data Science Specialization. We strongly believe that is is crucial for success to start learning a scalable data science platform since memory and CPU constraints are to most limiting factors when it comes to building advanced machine learning models....
Introduction to High-Performance and Parallel Computing
by Shelley Knuth , Thomas Hauser- 3.4
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Approx. 18 hours to complete
This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. Data vs....
