Uplatz provides this comprehensive bundle course on Data Science with Python and R. It is a self-paced course with recorded video lectures. You will be awarded Course Completion Certificate at the end of the course.
R is a powerful programming language that is widely used for statistical computing and data analysis. The evolution of the r language from a simple text editor to an interactive r studio. Only because of the generous contributions of r users around the world was this possible. R has become more powerful as a result of the addition of powerful packages. Data manipulation, computation, and visualization are now much faster thanks to packages like the data table. If you want to learn what r is in data science or what it means in data science, keep reading this article to learn more about it.
Python has become one of the most popular programming languages in the world in recent years. It's used in everything from machine learning to building websites and software testing. It can be used by developers and non-developers alike. Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed. Python is a powerful general-purpose programming language. It is used in web development, data science, creating software prototypes, and so on. Fortunately for beginners, Python has simple easy-to-use syntax. This makes Python an excellent language to learn to program for beginners. Python, one of the most popular programming languages in the world, has created everything from Netflix’s recommendation algorithm to the software that controls self-driving cars. Python is a general-purpose language, which means it’s designed to be used in a range of applications, including data science, software and web development, automation, and generally getting stuff done.
This Bundle Combo - Data Science (with Python and R) course teaches how to use R to solve real-world problems with a real-world dataset. It covers R's and Python’s functions and data types, as well as vector operations and advanced sorting algorithms. You'll learn how to manipulate, analyze, and visualize data, as well as how to use general programming tools like the "if-else" conditional construct and "for loop" commands. There are several programming assignments to help you remember what you've learned.
Students learn the fundamentals of R programming and Python Programming in Uplatz's Data Science with R and Python professional certificate program. Because there are no prerequisites for this course, it is suitable for anyone who is just starting out in the field of data science. It's also great for anyone who knows how to program in another language but wants to learn R.
This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the NumPy library. 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 Data Frame as the central data structures for data analysis, along with tutorials on how to use functions such as group by, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses.
