Learn R & Python Intro
🔥 R topic discussed from Basic to Advance Level| R Programming | Data Science with R | R Data Science Learning | Data Science Playlist 2023 | R Programming Playlist
#datasciencewithr #rprogrammingfordatascience #learnrprogramming #datascienceforbeginners #learnrwithdatascience
This Data Science with R Program makes you proficient in tools and systems used by Data Science Professionals. It includes training on Statistics, Data Science, Python, Apache Spark & Scala, Tensorflow and Tableau. The Data Science course curriculum has been determined by extensive 20+ years of work experience across the globe.
This "R for data Science course playlist will help you master the concepts of R programming in 7 Hours. In this R Programming for Beginners tutorial, we'll learn about What is R, variables, and data types in R. This R Programming for Beginners is the ideal video for anyone starting with R Programming and Data Analysis. We'll Understand Data Handling, Manipulation, and Visualization in R. So, let's get started with this R Tutorial!
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What Is R Programming?
R is an open-source programming language used for statistical computing. It is one of the most popular programming languages today. R was inspired by S+, which is similar to the S programming language. R has various data structures and operators. It can be integrated with other programming languages like C, C++, Java, and Python.
This Data Science with R course will make you an expert in data analytics. In this Data Analytics course, you'll learn analytics tools and techniques, how to work with SQL databases, the languages of R and Python, how to create data visualizations, and how to apply statistics and predictive analytics in a business environment.
What are the learning objectives?
This Data Science with R course will provide you with extensive expertise in the booming data analytics field. This data analytics certification training course will teach you how to master descriptive and inferential statistics, hypothesis testing, regression analysis, data blending, data extracts, and forecasting. Through this course, you will also gain expertise in data visualization techniques using Tableau and Power BI, learning how to organize data and design dashboards. In this Data Science with R course, a special emphasis is placed on those currently employed in the non-technical workforce. Through this Data Analytics course, those with a basic understanding of mathematical concepts will be able to complete the course and become an expert in data analytics. This learning experience melds the knowledge of Data Analytics with hands-on demos. Upon completing this course, you will have all the skills required to become a successful in utilizing R.
Why become Data Analyst?
By 2025, the World Economic Forum forecasts that data analysts will be in demand due to increasing data collection and usage. Organizations view data analysis as one of the most crucial future specialties due to the value that can be derived from data. Data is more abundant and accessible than ever in today’s business environment. In fact, 2.5 quintillion bytes of data are created each day. With an ever-increasing skill gap in data analytics, the value of data analysts is continuing to grow, creating new job and career advancement opportunities. The facts are that professionals who enter the Data Science field will have their pick of jobs and enjoy lucrative salaries.
Who should take up this course?
Aspiring professionals of any educational background with an analytical frame of mind are best suited to pursue this course, including:
1. IT professionals
2. Banking and finance professionals
3. Marketing managers
4. Sales professionals
5. Supply chain network managers
6. Beginners in the data analytics domain
7. Students in UG/ PG programs
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