Skills you'll gain: Computer Science, Computer Programming, Java Programming, Algorithms, Theoretical Computer Science, Computational Logic, Operating Systems, System Programming, Applied Machine Learning, Computational Thinking, Machine Learning, Mobile Development, Programming Principles, Software Architecture, Software Engineering
Intermediate · Course · 1-3 Months
Skills you'll gain: Machine Learning, Applied Machine Learning, DevOps, Python Programming, Statistical Programming, Tensorflow, Exploratory Data Analysis, Feature Engineering, Probability & Statistics, Cloud Computing, Data Management, Data Warehousing, Extract, Transform, Load, Computer Programming, Computer Vision, Deep Learning, Advertising, Business Analysis, Change Management, Communication, Computer Networking, Data Analysis, Data Visualization, Estimation, General Statistics, Leadership and Management, Machine Learning Algorithms, Marketing, Network Security, Security Engineering, Security Strategy, Statistical Visualization, Strategy and Operations
Advanced · Specialization · 3-6 Months
Skills you'll gain: Human Computer Interaction, User Experience, User Experience Design, Design and Product, Leadership and Management, Market Research, Planning, Research and Design, Software Engineering, Software Testing, User Research, Business Analysis, Business Psychology, Communication, Data Analysis, Entrepreneurship, Finance, Financial Analysis, Investment Management, Marketing, Problem Solving, Social Media, Web Design, Web Development
Beginner · Course · 1-4 Weeks
Skills you'll gain: Deep Learning, Tensorflow, Machine Learning, Python Programming, Applied Machine Learning, Computer Programming, Statistical Programming, Computer Vision, Artificial Neural Networks, Computer Architecture, Computer Networking, Distributed Computing Architecture, Machine Learning Algorithms, Machine Learning Software, Mathematics, Network Architecture, Network Model, Basic Descriptive Statistics, Computer Graphic Techniques, Computer Graphics, Data Analysis, Probability & Statistics, Programming Principles
Intermediate · Specialization · 3-6 Months
Skills you'll gain: Business, Business Analysis, Data Science, SQL, Spreadsheet Software, Statistical Programming, Data Analysis, Statistical Analysis, Algorithms, Computer Networking, Data Management, Data Mining, Databases, Extract, Transform, Load, Feature Engineering, Machine Learning, Network Security, Security Engineering, Security Strategy, Theoretical Computer Science
Beginner · Course · 1-4 Weeks
Skills you'll gain: Data Analysis, Business Analysis, Machine Learning, Statistical Programming, Data Visualization, R Programming, Data Management, Accounting, Business Communication, Communication, Exploratory Data Analysis, Algorithms, Data Analysis Software, Data Visualization Software, Machine Learning Algorithms, Probability & Statistics, Theoretical Computer Science, Big Data, Data Mining, Extract, Transform, Load, Natural Language Processing, Statistical Analysis, Storytelling, Audit, Basic Descriptive Statistics, BlockChain, Business Psychology, Customer Analysis, Finance, Graph Theory, Management Accounting, Marketing Psychology, Mathematics, Network Analysis, Regression, Software Engineering, Software Testing, Spreadsheet Software, Statistical Visualization, Business Intelligence, Data Structures, Design and Product, Entrepreneurship, Human Computer Interaction, Market Research, Research and Design, User Research
Beginner · Specialization · 3-6 Months
Functional programming is a coding language in which everything is in a mathematical function style. It is used on various applications and can be implemented on your daily programming tasks. Functional programming is becoming widespread in the industry and is crucial to learn because it is adaptable to the new data world.
It's important to learn about functional programming because you will have knowledge that will let you have a boost in your career. Functional programming enables you to write programs with higher-order functions, design immutable data structures, and minimize side effects. Another reason to learn functional programming is because it is adaptive to the data world and is a key tool to have with new innovations and when working with big data.
Online courses can help you learn functional programming by offering practical experience with Guided Projects and assignments. It gives you detailed lectures, readings, and assignments to help you gain an understanding of topics like the fundamentals of functional programming, Scala, Python, and graphic design. Online courses also allow you to have the flexibility and learn on your own time giving you a chance to review and practice the material learned.