Search result for Applied data science specialization Online Courses & Certifications
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Fundamentals of Scalable Data Science
by Romeo Kienzler- 4.3
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....
Machine Learning Algorithms: Supervised Learning Tip to Tail
by Anna Koop- 4.7
Approx. 9 hours to complete
Learners will also gain skills to contrast the practical consequences of different data preparation steps and describe common production issues in applied ML. This is the second course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute....
Classical Cryptosystems and Core Concepts
by William Bahn , Richard White , Sang-Yoon Chang- 4.6
Approx. 12 hours to complete
Welcome to Introduction to Applied Cryptography. It is recommended that you have a basic knowledge of computer science and basic math skills such as algebra and probability. Specialization Introduction...
Computational Social Science Methods
by Martin Hilbert- 4.7
Approx. 11 hours to complete
In short, all of them do social science by computational means. Why Computational Social Science (CSS) now? Computational Social Science (CSS) What is this Specialization About? A Very Short History of Science A Very Simplistic Hierarchy of Science Social Science Challenges Example of Computational Social Science: Data Science Overview of Big Data Fighting Poverty with Data...
Algorithms for Searching, Sorting, and Indexing
by Sriram Sankaranarayanan- 4.6
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....
Introduction to Data Science
by Alex Aklson- 0.0
6 Weeks
Learn about the world of data science first-hand from real data scientists. The ancient Egyptians applied census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. The role of data science within a business How to form a strong data science team...
$39
Managing, Describing, and Analyzing Data
by Wendy Martin- 4.4
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....
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Scalable Machine Learning on Big Data using Apache Spark
by Romeo Kienzler- 3.8
Approx. 7 hours to complete
This course will empower you with the skills to scale data science and machine learning (ML) tasks on Big Data sets using Apache Spark. Enrol now to learn the machine learning techniques for working with Big Data that have been successfully applied by companies like Alibaba, Apple, Amazon, Baidu, eBay, IBM, NASA, Samsung, SAP, TripAdvisor, Yahoo!, Zalando and many others....
Fundamentals of R for Applied Statistics
by SVBook Pte. Ltd.- 3.6
2.5 hours on-demand video
Wanted to learn R programming and fundamental applied statistics for data science? Have you ever wanted to learn data mining? Data science is a very hot field now. Applied statistics can be used in data understanding and data exploration stage of the data mining process (CRISP DM). - Data Visualization (bar, histogram, scatter matrix, ....
$11.99
AI Workflow: Data Analysis and Hypothesis Testing
by Mark J Grover , Ray Lopez, Ph.D.- 4.2
Approx. 11 hours to complete
List several best practices concerning EDA and data visualization Describe strategies for dealing with missing data This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises. Data Analysis Introduction to Data Visualizations...