Search result for Introduction to Big Data Online Courses & Certifications
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Data for Machine Learning
by Anna Koop- 4.4
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Approx. 12 hours to complete
This course is all about data and how it is critical to the success of your applied machine learning model. , be able to read and code trace existing code, be comfortable with conditionals, loops, variables, lists, dictionaries and arrays). Introduction to the Course Match Data to the needs of the learning Algorithm...
Artificial Intelligence Privacy and Convenience
by Brent Summers- 4.6
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Approx. 6 hours to complete
Diving into the ethics behind these decisions, we will explore how to protect users from privacy violations while creating useful predictive models. We will also ask big questions about how businesses implement algorithms and how that affects user privacy and transparency now and in the future. Privacy and convenience vs big data...
Machine Learning for All
by Dr Marco Gillies- 4.7
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Approx. 22 hours to complete
The big AI breakthroughs sound like science fiction, but they come down to a simple idea: the use of data to train statistical algorithms. Welcome to Machine Learning for All Introduction to Data Features Introduction to Machine Learning in practice You will be able to explain and predict how data affects the results of machine learning...
Analytical Solutions to Common Healthcare Problems
by Brian Paciotti- 4.4
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Approx. 11 hours to complete
I will review these business problems and you’ll build out various data structures to organize your data. We’ll then explore ways to group data and categorize medical codes into analytical categories. You will then be able to extract, transform, and load data into data structures required for solving medical problems and be able to also harmonize data from multiple sources....
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. Introduction to Randomization + Average Case Analysis + Recurrences Design basic algorithms to implement sorting, selection, and hash functions in heap data structures...
Introduction to Data Science in Python
by Christopher Brooks- 4.5
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Approx. 31 hours to complete
The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. Introduction to Pandas...
Statistics with R Capstone
by Merlise A Clyde , Colin Rundel , David Banks , Mine Çetinkaya-Rundel- 4.6
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Approx. 6 hours to complete
A large and complex dataset will be provided to learners and the analysis will require the application of a variety of methods and techniques introduced in the previous courses, including exploratory data analysis through data visualization and numerical summaries, statistical inference, and modeling as well as interpretations of these results in the context of the data and the research question....
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Boosting Productivity through the Tech Stack
by Trailhead , Paige Caldwell , Jolyn Cafferata , Luis Cazares , Richard Yang , Allie Kaiser , Eric Bryan , Loren Crundwell- 0.0
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Approx. 29 hours to complete
Introduction to Trailhead Introduction to Salesforce Introduction to Sales Intelligence Introduction to Data Enrichment Tools Introduction to Call Analysis Tools Introduction to Power Dialers Introduction to LinkedIn Sales Navigator Introduction to Sales Engagement Introduction to Outreach Management Introduction to Social Selling Tools Introduction to LinkedIn InMail and Direct Message Introduction to Video Prospecting...
Python Project for Data Engineering
by Ramesh Sannareddy , Joseph Santarcangelo- 4.6
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Approx. 5 hours to complete
This mini-course is intended to apply foundational Python skills by implementing different techniques to collect and work with data. Implement Webscraping, and use APIs to extract data in Python Play the role of a Data Engineer working on a real project to extract, transform and load data using Jupyter notebook and Watson Studio...
Python Functions, Files, and Dictionaries
by Paul Resnick , Steve Oney , Jaclyn Cohen- 4.8
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Approx. 31 hours to complete
This course introduces the dictionary data structure and user-defined functions. Introduction to the Specialization Welcome to Python Functions, Files, and Dictionaries How to Use the Interactive Textbook Writing Data to a . Writing Data to a . Introduction to Functions Optional - What Did You Use to Practice This Week? Introduction...
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