Search result for Data types and structures Online Courses & Certifications
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Functional Programming in Haskell: Supercharge Your Coding
by Wim Vanderbauwhede , Jeremy Singer , Jan de Muijnck-Hughes- 0.0
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6
Haskell Basics: Expressions and Equations Haskell Basics: Reduction, Functions and Lists Input and Output Data Structures and Types Custom Data Types Laziness and Infinite Data structures More about Types So long and thanks for all the fun(ctions)!...
Free
The Java Language
by Jim Sullivan- 0.0
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Approx. 7 hours to complete
In this course, we'll take a look at Java data types, discuss what primitive data types are, and explain data classes. Java as a Second Language-the Java Language: Java Data Types Java Data Types Video 1 Java Data Types Video 2 Primitive Data Types Characters and Strings Lab 1: Primitive Data...
R Programming
by Roger D. Peng, PhD , Jeff Leek, PhD , Brian Caffo, PhD- 4.5
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Approx. 57 hours to complete
In this course you will learn how to program in R and how to use R for effective data analysis. Data Types - R Objects and Attributes Data Types - Vectors and Lists Data Types - Matrices Data Types - Factors Data Types - Missing Values Data Types - Data Frames...
Data Structures & Algorithms in Swift
by Brynn Claypoole , Horatio Thomas- 0.0
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Approx. 4 weeks
In this course, you'll review common Swift data structures and algorithms. You'll watch experienced engineers review supplementary examples and discuss differe lesson 1 Data Structures and Algorithms Code in Swift for interviews and practice with Pramp Review tree data structures maps hashing and common graph terms Explore case studies in algorithms and list-based collections...
Free
Data Structures and Algorithms
by Brynn Claypoole , Abe Feinberg , Kyle Stewart-Franz- 0.0
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4 Months
Whether you want to be a web developer, a machine learning engineer, or a data scientist, having a deep understanding of Data Structures and Algorithms is essential to acing job interviews and becoming a successful software engineer. Good programmers worry about data structures and their relationships". Learn data structures and algorithms by solving 100+ practice problems....
IBM Data Privacy for Information Architecture
by Christopher Giardina , Aaron Ritchie- 4.7
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Approx. 10 hours to complete
Data privacy controls how information is collected, used, shared, and disposed of, in accordance with policies or external laws and regulations. Data governance and organizational structures Data governance and organizational structures introduction Structures and roles Data governance and organizational structures Data protection, privacy and regulations overview Data privacy regulations and initiatives...
Introduction to Python Programming
by Juno Lee- 0.0
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Timeline Approx. 5 Weeks
You’ll learn to represent and store data using Python data types and variables, and use conditionals and loops to control the flow of your programs. You’ll harness the power of complex data structures like lists, sets, dictionaries, and tuples to store collections of related data. You’ll define and document your own custom functions, write scripts, and handle errors....
Free
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Bioconductor for Genomic Data Science
by Kasper Daniel Hansen, PhD- 3.9
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Approx. 9 hours to complete
This is the fifth course in the Genomic Big Data Specialization from Johns Hopkins University. R Base Types Usecase: AnnotationHub and GRanges, part 1 Usecase: AnnotationHub and GRanges, part 2 rtracklayer - Data Import Basic Data Types Getting data into Bioconductor...
Introduction to R Programming for Data Science
by Yan Luo- 4.8
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Approx. 10 hours to complete
When working in the data science field you will definitely become acquainted with the R language and the role it plays in data analysis. Common Data Structures Manipulate numeric and textual data types using the R programming language and RStudio or Jupyter Notebooks. Define and manipulate R data structures, including vectors, factors, lists, and data frames....
Introduction to Genomic Technologies
by Steven Salzberg, PhD , Jeff Leek, PhD- 4.6
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Approx. 6 hours to complete
This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation sequencing experiments are generated and analyzed. Memory and Data Structures...
